Hybrid Cloud

What is a Hybrid Cloud?

“Hybrid Cloud” is a solution that combines a private cloud with one or more public clouds, with proprietary software allowing communication between each cloud. A hybrid cloud strategy gives businesses greater flexibility by moving workloads between cloud solutions as needs and costs fluctuate.

A hybrid cloud service is powerful because it gives companies more control over their private data. If an organization stores sensitive data on a private cloud while concurrently leveraging the robust computational resources of a managed public cloud, it can effectively utilize the cloud while maintaining full access to and control of the underlying infrastructure.

How does hybrid cloud architecture work?

Uniform management of public and private cloud resources is preferable to managing individual cloud environments because doing so reduces the likelihood of process redundancies. It is a good idea to address the various AWS environments separately to prevent the risk of security loopholes, especially when each solution is not fully optimized to work with the other.

Hybrid cloud architectures can eliminate many security risks by limiting the exposure of private data to the public cloud. Cloud infrastructure generally includes a public infrastructure as a service (IaaS) platform, a private cloud or datacenter, and a secure network. In addition, many hybrid models use both local area networks (LAN) and wide-area networks (WAN).

Most businesses adopting a hybrid cloud strategy start with a platform (PaaS) or infrastructure as a service (IaaS) solution and then extend functionality to the private cloud. However, to deploy a hybrid strategy effectively, the public and private clouds must be compatible with each other so they can communicate.

In many cases, the private cloud is designed to be a good fit for the public solution. However, today, more businesses connect their resources to public cloud services using APIs to improve interoperability. The Google Cloud Platform and Microsoft Azure are famous examples of IaaS providers that allow companies to connect their resources to their public cloud offerings easily. In addition, hybrid architects may deploy a hypervisor layer to generate virtual machines related to the public cloud via another software layer responsible for orchestration among cloud environments.

What is a hybrid cloud used for?

Businesses across various industries have moved toward a hybrid cloud solution to reduce costs and increase agility.

You might think it’s only a matter of time until the Amazon Web Services public cloud is widely used to replace your on-premises infrastructure, and that time is here. But unfortunately, most organizations don’t have the room to deploy servers on-site.

Cloud computing makes it easy to bring together disparate systems into a single pool of shared computing resources. You can use this as an alternative to traditional on-premise computing. A hybrid cloud strategy is helpful in industries like healthcare, where data privacy is important and private computing resources are often lacking.

This solution enables teams to retain sensitive data in a secure, private data center while simultaneously leveraging the advanced computational power of a public cloud model. Any industry that benefits from public cloud applications will also benefit from the hybrid model.

How is the hybrid cloud managed?

There are many ways to manage hybrid cloud solutions, but each cloud platform has its API, a storage management protocol, networking capabilities, etc. So while mastering each solution’s complexities is possible, it’s not always sustainable.

Because of this, organizations that have developed hybrid cloud management tools often construct a single interface to manage all cloud services seamlessly. To create a compelling API, you’ll need to have the right people on your team to help you. Unfortunately, enterprise-grade management tools are not always available.

Benefits of hybrid cloud

The benefits of a hybrid cloud strategy come from the ability of IT leaders to gain greater control over data. The hybrid cloud model is an essential part of modern enterprise. It allows organizations to pick the right mix of public and private cloud options to fit their needs.

Many businesses do not require the same level of computation power every day. An organization may find that its resource needs only balloon during one specific time of year. This can include calculating premium rates, processing medical information, and verifying income.

Benefits of hybrid cloud

Suppose the organization needs extra computing resources rather than paying for those resources to sit idle for most of the year. It can save on costs by extending its private resources to a public cloud only when necessary. As a result, hybrid cloud computing requires much less space on-premises than a purely personal model.

A business can deploy a private network on-site to handle its internal needs, then automatically extend to a private cloud when computational resources exceed local availability. The X3-2 is a cost-effective, high-performance server ideal for startups that can’t afford to invest in a big private data center or for established enterprises that need to scale affordably.

Hybrid cloud use cases

The ability to scale on-demand means hybrid cloud models have many businesses uses.

New Application:

Launching a new application is often quite challenging for software developers who have never tried to do it before. As a result, cloud-driven businesses are in for a certain amount of risk any time they try something new.

A hybrid cloud lets you reduce the risk of failure. It helps you avoid the need for an initial investment, and it gives you the flexibility you need. For example, the company can deploy the new app and only pay for its resources rather than everything upfront. Then, if the app fails or gets shelved, the business won’t be out any money.

Regulatory Compliance:

Some industries are regulated to protect private data. Every piece of data does not need to be in a private environment, but some do. Cloud computing has become a popular option for businesses to meet compliance requirements while gaining expanded computing power. When the General Data Protection Regulation was introduced in the European Union, many organizations moved their data to solutions that complied with the new regulations while operating under different rules elsewhere.

Workload anomalies:

The future is unpredictable. An application might run efficiently in its current environment today but require additional computational power tomorrow. Hybrid cloud solutions adapt to workload needs, allowing service to continue smoothly even when workload requirements spike. This is often called “cloud bursting” because the workload pours out of one environment into another. It’s a lot like having overdraft protection on your checking account. So you want to have a failsafe in case the unexpected happens.

Hybrid Cloud Solutions

With over 40 major infrastructures as a service providers in the market, IT leaders have never had more options for choosing a public cloud service. In addition to the world’s most enormous public cloud, Amazon Web Services (AWS), two highly reliable cloud providers with extensive capabilities include:

Microsoft Azure:

Microsoft offers excellent support for hybrid cloud architects to launch projects quickly and easily. In addition, Microsoft’s move to open-source software has helped it to become more popular among businesses.

Google Cloud:

Google’s access to cutting-edge machine learning and big data technologies means the Google Cloud Platform is ideal for high-complexity computational needs.

Is the hybrid cloud right for your organization?

It’s also referred to as “cloud computing.” Hybrid cloud computing is an effective way to align IT priorities with business needs. Many businesses can benefit from leveraging hybrid cloud solutions.
When choosing between hybrid, public, and private options, hybrid gives you more flexibility—a particularly important factor for organizations wanting to embrace digital transformation, or maintain regulatory compliance. If your business has an existing private cloud and you’re ready to move to the hybrid cloud model, this is a great option.

Amazon has a number of popular application-service-provider (ASP) offerings that make it easy to leverage the public cloud from their on-premises data centers. To securely protect sensitive data without losing the power of a public cloud, organizations can benefit by moving sensitive data to a private cloud while interfacing with public resources.

Hybrid cloud computing is highly valuable for organizations with dynamic workloads, large amounts of data to process, or a large mix of IT services. The flexibility, scalability, and responsiveness of the hybrid model cannot be overstated. The ability to only pay for additional resources when they’re really needed can be extremely useful for companies. It allows them to keep their operational costs low.

AppViewX solutions for hybrid cloud computing

AppViewX ADC+ helps you automate, orchestrate, and self-service your application delivery ecosystem across your hybrid or multi-cloud environment.

Cloud Security

What is cloud security?

Cloud security is the entire set of related policies, tools, processes, and personnel that protect cloud computing environments from harm. Therefore, you need to understand cloud computing in its entirety, from the bottom up and from every layer. Cloud security is based on the same fundamental concepts as traditional on-premises cybersecurity. It also uses many of the same best practices but uses different technologies. The latter components help defend against sophisticated threats in the cloud, protect a dissipating network perimeter, and adequately distribute security responsibilities between cloud service providers and their customers.

Why is cloud security important?

With organizations shifting more of their workloads into cloud computing environments, it’s vital to secure the applications and customer data in those environments. Cloud security is to protect your cloud infrastructure. It’s the key to delivering a secure, flexible, and efficient IT environment. Objectives include:

  • Secure the cloud infrastructure against DDoS attacks, API exploitation, and data corruption vulnerabilities.
  • Ensure your software applications are being used to comply with all applicable regulatory requirements, like the statutes that govern where your data can be stored and the security standards that apply to your cloud provider.
  • A good cloud infrastructure means visibility of cloud services and associated metrics, making it easier to secure the environment.
  • Zero trust security models enforce access controls and authentication for cloud users and their devices, regardless of location.
  • Give the service provider access to the information needed to do the work.

It’s important to remember that cloud security is inherently a shared responsibility. The specific components of the cloud security that the cloud provider and customer will both manage determine the cloud security architecture for each business relationship.

What is a cloud security architecture?

A cloud security architecture determines how security responsibilities are divided up between the cloud provider and the customer, usually by requiring the customer to take responsibility for certain aspects of security or giving them the right to decline certain security areas. For example, the cloud app provider will be responsible for any technical elements necessary to secure the cloud app itself. However, the customer will also need to ensure that adequate controls are in place to block access to the cloud app.

Examples of security measures for apps include:

  • Data Encryption Algorithms and Protocols for Securing Cloud Data.
  • Web application firewalls (WAFs) and bot management solutions are software products that help businesses reduce the risk of cyberattacks.
  • Malware detection and removal and prevention of data loss through comprehensive security tools are essential to ensuring your organization’s information systems are adequately safeguarded from cyber threats.
  • Monitoring and logging requests, cybersecurity events, and all other activities and endpoints across the cloud environment.

Examples of security measures for access to apps include:

  • Network security solutions, such as a customer’s secure access service edge (SASE)architecture that combines SD-WAN with a secure web gateway and cloud access security broker
  • Authentication, typically with multi-factor authentication (MFA) and single sign-on (SSO) to provide solid yet streamlined protection beyond passwords alone
  • Access management mechanisms that often entail alternatives to virtual private networks (VPNs), such as VPN-less proxies within secure digital workspaces

Your cloud security architecture must be well-documented and supported to avoid the many pitfalls that cloud security poses. With the ever-increasing adoption of cloud services, organizations are increasingly dependent on a public cloud environment, where unmanaged devices access data, there is no traditional network perimeter, and sophisticated cyber security risks.

These are the four service models for cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Desktop as a Service (DaaS). Each central cloud service model has its distinctive security architecture managed by the cloud provider and customer. The security architecture will differ depending on whether the cloud in question is deployed as a public cloud, private cloud, or hybrid cloud. In addition, organizations rely on other cloud infrastructures in different categories.

Who is responsible for cloud security?

Depending on the service and deployment model, it’s either the service that shares or the customer that shares responsibility for security. For example, with IaaS from a public cloud services provider, the provider manages the physical network interfaces, hypervisors, and data storage. The customer handles the operating systems, applications, and data on top of them.

This architecture is sometimes referred to as the cloud provider overseeing the cloud’s security “. Essential hardware and Software are included like databases and compute capacity, while the customer focuses on the security “in” the cloud, namely, how that organization grants or denies access requests, configures its firewalls and performs other activities in the ordinary course of using a cloud service. The cloud service provider is responsible for handling a more significant share of security for public cloud PaaS, SaaS, and DaaS.

Your cloud strategy may have a private or hybrid cloud component or you manage all of the infrastructures in a private cloud to run your applications. In some ways, a hybrid cloud offers more security benefits than private or public clouds since it’s not as dependent upon sharing infrastructure as the public cloud is. However, the best way to keep it safe may take more effort from the customer.

What’s different about cloud security?

Although some traditional cybersecurity practices, such as Single Sign-On (SSO), fit nicely into a cloud security architecture, cloud security is fundamentally different from on-premises security on the customer side due to several factors.

More accessibility and availability over the Internet leads to larger-scale threats. Cloud applications, available from almost anywhere, are more accessible than traditional applications, which must be installed locally. As a result, more attacks will be launched against them. In addition, cloud computing is a significant security threat for applications. There are SQL injection, DDoS attacks, and many other security concerns.

Multi-cloud environments are magnets for hackers and must be carefully monitored. Imagine a world where your digital customer journeys are as safe and seamless as before the advent of bots. Unfortunately, improperly secured APIs can enable unauthorized access that precipitates data breaches. So again, it’s a shared responsibility.

Cloud computing is different from traditional computer security because it is a shared responsibility. For example, if you are trying to control access to a private area of your site, the cloud customer is not in complete control of security. This is an obvious example of shared responsibility. Instead, the cloud service provider handles the security and malware defense of the customer’s data. Therefore, the service-level agreement (SLA) from the cloud service provider and its security record is crucial cloud security components.

It’s different for different applications. Highly centralized, perimeter-defined models of on-premises security do not scale well to today’s cloud environments.

Cloud app access can’t be fully secured by using VPNs or firewalls alone, which assumes users inside a company network are trustworthy. For example, one VPN can let you access the web and give you trust for wide-ranging access. It’s feasible to have this type of access in a small-scale environment but not so in the realm of cloud applications

What are the top cloud security challenges?

Security isn’t just about protecting the server. There are several unique security challenges associated with the cloud, including:

  • Traffic filtering, monitoring, and blocking: Cloud security is all about securing networks and protecting them from unwanted network activity. If you aren’t properly filtered, monitored, and blocked, this traffic can carry malware and requests from malicious bots.
  • API protection: There’s a lot of information in the cloud. If left open, it can result in a costly data breach, for instance, when a misconfigured API allows improper data transfer.
  • Bot identification and management: Botnets, which are used by cybercriminals to launch automated cyberattacks on websites and networks, must be adequately identified and managed.
  • Malware, APTs, and cyberattacks: Public cloud computing stacks are under constant, widespread pressure from various cyber threats, which can disrupt access and compromise sensitive information.
  • Improper or insufficient cloud security controls: Companies that migrate applications to the cloud often don’t update their security controls and may fail to account for the shared responsibility of a cloud security architecture.
  • Misconfigurations: Cloud resources are often misconfigured, leading to security issues that remain undiscovered for long periods.
  • Network/WAN security: When it comes to security, moving applications from MPLS WANs to SD-WAN and supporting SaaS breakout requires new security mechanisms and architectures, like SASE, to help support secure breakouts.

How should you approach cloud security?

Cloud security is one of the most significant challenges facing any organization using a cloud model. However, it’s a shared responsibility.

cloud security

A prudent cloud security strategy involves several key components:

WAFs

An organization can stop threats with a Web application firewall (WAF). A WAF provides holistic security for web traffic and web services, shielding them from SQL injection, cross-site scripting, etc. This can protect cloud apps and APIs by applying consistent security policies across all appliances on which it is installed for a uniform security posture.

API protection

Cyberattacks can be mitigated by companies using a layered security approach. When it comes to API security, there are two main threats: known and zero-day attacks. These threats require different defenses, and the cloud must be protected. Better API protection means fewer data breaches.

Bot identification and management

Any business that doesn’t have a plan to manage botnets will find that they can be an effective attack vector, causing DDoS campaigns or brute force attacks against their critical cloud apps. BotScore is a free service that uses advanced rules to evaluate if a chatbot is a legitimate (helpful, not malicious) or security risk that must be blocked to mitigate cyberattack risk.

Data protection and encryption

Organizations can protect data by encrypting it and monitoring it. The exact encryption approach will depend on which cloud service you use, whether it’s infrastructure. Data sources should be carefully monitored to ensure no leakage from a database misconfiguration.

Zero trust security

To protect against cyber threats, organizations can use zero trust security for access control and authorization. This entails assessing users, devices, and requests contextually and continuously via mechanisms like MFA and evaluating multiple relevant criteria, including device patch level and user geographic location.

Comprehensive visibility

Solutions for endpoint management and network monitoring are essential for understanding what people are doing with your system. In addition, visibility is a crucial factor in any complex hybrid cloud or multi-cloud environment, where there are multiple deployments and services at play.

AppViewX solutions for cloud security

AppViewX offers a variety of cloud security solutions that enable safer use of and access to applications of all types, helping support more efficient remote work environments and multi-cloud deployments:

  • AppViewX RBAC provides adaptive access and authentication for cloud users and their devices while supporting zero-trust network access (ZTNA).
  • AppViewX create a unified approach to SASE that protects users and data across all locations.
  • AppViewX workspace builds upon SSO and MFA to make it easier for cloud users to work remotely.

Cloud Networking

What is Cloud Networking?

Cloud networking refers to using some or all network resources and services from the cloud, whether public, private, or hybrid.

How does cloud networking work?

Cloud networking allows the network to be either cloud-enabled or entirely cloud-based. In cloud-enabled networking, the network is on-premises, but some or all resources used to manage it are in the cloud. A core network infrastructure remains in-house, but network management, monitoring, maintenance, and security services are all done through the cloud. You might need a firewall if you’re using an on-premises network. An example is using a software-as-a-service (SaaS)-based firewall to protect your on-premises network. The entire network is in the cloud, making the cloud the network. This also includes network management and physical hardware. Cloud-based networking is used to connect applications and resources in the cloud.

How does cloud networking work

How the cloud is changing traditional networking?

Users around the globe need reliable, secure access to the data and applications they use every day. However, cloud computing creates new problems for IT departments as they need to manage apps and services in multiple clouds and data centers. Traditional Application Delivery Controllers (ADCs) and Load Balancing are insufficient for delivering apps in a hybrid and multi-cloud world. SD-WAN technology can provide an excellent connection wherever your users are located, whether they’re on a branch office network, at home, or using any other network. In addition, as mobile applications move to the cloud, organizations are also more vulnerable to internet-based attacks.

This issue has inspired businesses to shift away from the “connect first and then authenticate” user. Instead of securing their network by limiting access to a perimeter firewall that protects the perimeter of the network and blocks unauthorized access to internal resources, organizations are protecting their network with a secure digital perimeter—one that encompasses a set of ADCs, web application firewalls, and specific web gateway components. Visibility and reporting across the network are essential to run an analysis of applications, users, and devices.

AppViewX solutions for cloud networking

AppViewX’s application delivery and security solutions provide businesses with the advanced centralized controller system to manage & automate SD-WAN and application delivery controller functionality to ensure their applications perform well and remain secure. In addition, these solutions offer object-level visibility so you can maintain a consistent security posture in a hybrid and multi-cloud world.

Cloud-Native

What is Cloud-Native?

Cloud-native is the name for an approach to building and running applications across private, public, and hybrid clouds. Cloud-native apps are explicitly designed to be developed and managed in the cloud. As companies are increasingly adopting cloud-native technology to accelerate their application delivery, increase agility, and meet customer expectations for speed and performance, they face many challenges.

What is a cloud-native application?

Unlike many traditional applications that may run in the cloud, cloud-native applications are purpose-built for the cloud. They are designed for existing in public, private, or hybrid clouds from day one, rather than a traditional on-premises data center.

What are the key components of cloud-native development?

Cloud-native architecture relies on several essential technologies, including containers, microservices, and open-source software.

Microservices

With a cloud-native approach, developers create specialized and designed services to do one thing well, known as microservices. The individual units that make up a complete application—and each one of those units can be deployed, upgraded, and managed on its own. Microservice independence allows you to focus on the fundamental operations of a component.

Containers

Containers are a vital component of cloud-native applications. They make it possible for lightweight applications to run quickly in the cloud. This is a valuable method of operating system virtualization that is often used to make microservices easy to manage. Containers aren’t just for developers, but anyone can use containers for many purposes, such as creating a backup server, developing applications or even running a web server or email server. Scaling a microservices architecture requires packaging all the code and resources that run a service to be easily deployed to other servers.

Open-source software

Containers that run microservices are often deployed in public clouds like AWS or Google Cloud using platforms like Docker and Kubernetes, the open-source software commonly used to automate deploying and scaling cloud-native applications.

Application delivery controller

Another critical component of cloud-native networking is the application delivery controller (ADC). It enables secure communication between the outside world and microservices. Cloud-native technologies also enable security in applications and provide traffic routing and load balancing to secure traffic among microservices. As a result, many organizations are moving beyond traditional application delivery controllers to utilize cloud-based applications.

What are the most significant benefits of cloud-native applications?

Cloud-based development has become the latest trend in software development. Companies are increasingly looking to move legacy applications to the cloud, and many startups embrace this DevOps approach from the outset. Cloud-native application development takes advantage of cloud technology to build applications as sets of portable, resilient, and highly available microservices. Most commonly used benefits include:

Fast updates:

You can chunk up an application’s code into smaller, more manageable units of microservices by pushing code to production much more frequently than once a month or quarter. One release isn’t enough. Engineers can make changes frequently, incrementally, and even automatically, allowing companies to add new and improved application features to existing applications at the pace customers expect.

Minimal downtime:

With traditional application development, making updates requires a complete software rewrite. No, IT department will be able to identify or fix a problem if it doesn’t impact the entire system and cause hours of downtime. Continuous delivery means your software remains online while individual issues are addressed. If you’re a cloud-native app developer, that gives you flexibility for developing apps that are ready for use immediately. Containers mean that you can update your application without taking the whole thing down, which means you’ll be able to respond quickly to bugs and issues.

Increased flexibility:

Because cloud-native applications can be easily moved to different environments, companies can distribute their apps across cloud providers. Cloud-native applications can be easily migrated to the public cloud or private cloud, so organizations can easily leverage the cloud infrastructure that works best for their budgets and business priorities.

AppViewX solutions for cloud-native application delivery

Cloud Migration

What is Cloud Migration?

Cloud migration is the process of moving applications, infrastructure, data, and other workloads from on-premises locations – such as company data centers – to cloud environments or from one cloud to another. Cloud-to-cloud migrations are getting more and more popular. However, cloud-to-cloud moves are also significant because they can increase your security, efficiency, and scalability. The cloud migration plan designates a public, private, or hybrid cloud as the destination for the assets in question. The types of cloud migration are pretty varied, from simple rehosting operations to more complex rearchitecting to a series of options in between.

What is the purpose of cloud migration?

For any workload or deployment environment, a migration strategy aims to deliver some combination of increased operational scalability, flexibility, performance, and cost savings. When a company moves to the cloud, it often does so to address the problems caused by its use of legacy infrastructure, pursue digital transformation initiatives, and provide new solutions and services to customers. By moving beyond legacy IT infrastructure, organizations can improve capacity planning without owning and managing the underlying physical IT equipment. A cloud migration plan addresses the risks of data and application security, storage capacity, and network performance.

Aging IT infrastructure does not consistently deliver the features or performance necessary for reliably serving employees and customers. It may not even provide the required components to enable digital transformation.

Older hardware and software are also more likely to expose your data to harm than newer, cloud-based alternatives. They might lack the latest security updates or be built on old technology that’s inherently more vulnerable to attack.

It costs companies a lot to maintain their legacy systems. Servers must be updated, applications must be secured, and capacity must be scaled—tasks that can require significant upfront capital expenditures and expensive ongoing maintenance, too.

Cloud computing allows organizations to grow beyond such limits imposed by their on-site datacenters and the assets housed within them. For example, a cloud migration plan may be designed to enable more resilient disaster recovery than would be possible with self-hosted infrastructure or to deliver real-time SaaS collaboration applications to an increasingly remote workforce instead of hosting business apps on-site.

What are the benefits of cloud migration?

With a proper cloud migration planning strategy in place, the right supporting solution services can help organizations build an architecture that will allow them to be more sustainable and cost-effective. Here are the benefits of such a cloud migration strategy:

Operational flexibility

Successful cloud migration helps IT more easily deliver applications to end-users when and where they need them. You can build applications to run in the cloud that can scale up or down at any moment to meet demand. Security updates and general maintenance are also much more accessible. It all adds to more flexible, sustainable operations that can better support customers, not to mention geographically distributed workforces.

Resource scalability

If your company undergoes a merger or acquisition suddenly has more demand for its services than its internal capacity or has increased demands for its products, it might have to provide more resources to its existing users to address their needs. Cloud computing platforms make it easier to procure and scale compute, storage, and networking resources on-demand without having to procure and set up the physical infrastructure and connectivity contracts required in on-premises paradigms.

Cost savings

Cloud providers sell most of their services using operating expenditure business models, with customers spending based on actual consumption (prepayment commitments are also available on some platforms). This is a compelling technology that can cut the capital expenses of any company. In addition, upgrades and maintenance are also bundled into the cost of cloud computing services, saving you time and money.

Workload performance

The versatile, scalable resources of cloud computing services can improve the performance of some workloads in multiple ways. You first need to think about how your application might be hosted. It’s pretty common for organizations to have different environments, and the best strategy depends on the circumstances. Cloud applications will provide access to a deeper and broader pool of resources, APIs, and security protections than their on-premises counterparts, letting IT maintain performance even with heavy usage.

benefits of cloud migration

How does cloud migration work?

Any successful cloud migration strategy begins with a clear, detailed plan. The project needs to include a clear set of objectives and steps, outlining the overall project goals and requirements for the cloud infrastructure. It should also have a bunch of workstreams that will consist of the actual execution of the conditions and steps.

cloud migration process

Migration projects vary widely in type and scope, but they always include at least some of the following actions:

  • Goal setting: We recommend that any IT department planning to migrate to the cloud focus on these three main areas: Is it meant to lower costs, improve performance, or support digital transformation?
  • Cost and time calculations: It’s essential to determine how much the migration might cost and how long it may take. These decisions play a role in selecting the vendor and migration tool.
  • Security and performance due diligence: It’s not enough to know which cloud environment is right for your business; you have to be aware of how it will affect your workload. Cloud migration planning requires new considerations, such as how new hardware and software may need to be deployed.
  • Data migration: Databases for existing projects will be moved to cloud environments. A cloud service provider might offer specific services and tools to minimize database downtime and help simplify the entire transition.
  • Network transformation with SD-WAN: SD-WANs will replace hub-and-spoke MPLS WANs with efficient, easy-to-deploy, highly cost-effective architectures that route all their traffic through the cloud for inspection. You can use any transport (broadband, MPLS, cellular, satellite) and enable DIA between end-users and applications in the cloud for a better user experience.
  • Additional moves add and changes: When moving a traditional database to a cloud-based environment, it’s essential to make sure that data can be accessed by any application that might use it and that the data structure is compatible with the application.

Once these steps are completed, production can shift from the on-premises environment to the cloud.

What are the different types of cloud migrations?

Many companies start by migrating a few workloads to a public cloud, then scale up. They do this by moving their entire workloads to the cloud and making incremental improvements to the infrastructure. From there, they may follow more complex migration paths. Alternatively, a company may choose a complex migration strategy due to its particular business requirements and the nature of the assets being moved.

The primary types of cloud migration are:

  • Rehosting: A website, app, or operating system hosted on an existing server or infrastructure is moved to a cloud server. This is the most straightforward migration.
  • Re-platforming: The asset is moved while some minor optimizations are made to its middleware, APIs, OS, or other attributes to make it run better in the cloud.
  • Refactoring: The asset’s existing code is modified to run better in the cloud, with possible support from technologies such as containers and PaaS solutions.
  • Rebuilding: Teams completely rebuilt the app or workload from scratch using PaaS so that it is cloud-native.
  • Retiring: An unneeded legacy app is retired in favor of a more convenient SaaS equivalent.
  • Retaining: A hybrid on-premises and cloud computing solution that uses on-premises data centers and cloud computing is used to deliver IT solutions in an enterprise.

types of cloud migration

What are the everyday challenges of cloud migration?

Challenges in cloud migrations encompass various issues in data integrity and security, business continuity, cost overruns, interoperability, and portability:

Data integrity and security

Data must maintain integrity when it moves from an on-premises environment into the cloud. Additionally, the communication channel must not leak or be intercepted along the way. Ensuring data integrity and security is more challenging in light of the vast scope of migration projects, which often involve the movement of extensive databases.

Business continuity

Business-critical systems need to stay up during cloud migrations because you’ll lose the benefits of cloud upgrades without them. Creating redundancy and moving assets one at a time, instead of all at once, is a typical approach for avoiding the catastrophic failure that could result from a migration to the cloud.

Cost overruns

Workloads should not be moved to the cloud without proper planning. They can cause sticker shock. For example, on-premises cloud-based email services would run operating costs when not in use and incur minor operational charges in the cloud. “Overprovisioning” is one of the top causes of cost overrun in the cloud.

Interoperability and portability

Multi-cloud environments are becoming increasingly popular as organizations realize how powerful and valuable they can be. With cloud computing becoming more and more popular, it is imperative to find a migration solution that will guarantee your migrations work with the different cloud services.
AppViewX solutions for multi-cloud or hybrid-cloud environments

AppViewX ADC+ support application delivery across the multi-cloud or hybrid-cloud environment. With a focus on security, scalability, reliability, and performance, organizations can easily migrate their load balancer devices across multiple clouds such as AWS, Microsoft Azure, and Google Cloud using automated workflows.

What Are Cipher Suites?

What Are Cipher Suites?

Cipher suites are sets of cryptographic algorithms (or ciphers) that are used to secure data transfer over a network connection using SSL/TLS. They define the method in which specific algorithms will be used to encrypt and decrypt data exchanged between a client (typically a browser) and a server (mostly a web server).

Where Exactly Are Cipher Suites Used?

When a client initiates a connection with a server, the two parties engage in a complex process known as the SSL/TLS handshake to start communicating securely. This is where cipher suites are used.

The handshake process begins with the client presenting the list of TLS versions and cipher suites it is compatible with. The server compares the received list with its list and decides on the cipher suite that has to be used during the session. Once the server and the client agree on a common cipher suite, it is then used to establish a secure connection and start communicating.

Why Are Cipher Suites Important?

Let’s take the example of the browser-web server communication. When a user visits an HTTPS website, the user is assured that the communication between the client (browser) and the web server is authentic and secure. This trust is made possible with cipher suites.

Cipher suites are an integral part of securing client-server communications. They are required to perform critical functions of the SSL/TLS handshake, such as authentication, key generation and exchange, and data encryption. Without cipher suites in place, there would be no authentication and encryption, rendering communications completely exposed to malicious actors and attacks.

What Are Cipher Suites Made Of?

Generally, a cipher suite is a combination of different types of algorithms provided to help organizations build security that best fits their business needs. Here are the four kinds of algorithms included:

  • Key Exchange Algorithm: 

To maintain data integrity during a server-client communication, the data needs to be encrypted. This process requires the server and the client to generate a shared key that they can use to encrypt and decrypt the data during that particular session. Since a single key is used for both encryption and decryption, it is called symmetric encryption.

The key exchange algorithm determines the method in which symmetric keys are exchanged between the client and the server, so they are known only to the connecting parties. Some of the most widely used key exchange algorithms are RSA (Rivest–Shamir–Adleman), DH (Diffie-Hellman), ECDH (Elliptic-curve Diffie-Hellman), and ECDHE (Elliptic-curve Diffie-Hellman Ephemeral).

  • Authentication or Digital Signature Algorithm:

To establish a secure connection, verifying the identity of the server and the user (if needed) is pivotal. User authentication is usually performed using a username and password provided by the user. The authentication algorithm specifies the process of authenticating these identities. RSA, ECDSA, and DSA are some examples of authentication algorithms.

  • Bulk Encryption Algorithm:

This algorithm is responsible for the actual encryption of data. It determines the type of symmetric key that will be used to encrypt the data exchanged between the server and the client. AES, 3DES, and CAMELLA are some of the examples of bulk encryption algorithms.

  • Message Authentication Code Algorithm (MAC):

Message Authentication Code (MAC) algorithm provides a mechanism (a hash function) for verifying the integrity of the data that is being transmitted. It is usually a piece of information that is sent along with the message to guarantee that it is not altered during transit. Examples of MAC algorithms include SHA256, MD5, and POLY1305.

To understand how these algorithms are represented in the naming of a cipher suite, let’s look at an example:

TLS_DHE_RSA_WITH_AES_256_CBC_SHA256

In the above cipher suite, TLS indicates the protocol being used, and the following elements refer to the different algorithms being used. DHE indicates the key exchange algorithm, RSA the authentication algorithm, AES256-CBC the bulk data encryption algorithm, and SHA256 the Message Authentication Code (MAC) algorithm.

The Importance of Choosing Strong Cipher Suites

As of 2022, TLS 1.2 is the most widely used TLS protocol, dominating east-west traffic. However, TLS 1.3 is the latest and recommended version. All TLS versions prior to TLS 1.2 have been deprecated because of their security vulnerabilities, like Heartbleed and POODLE.

To mitigate these vulnerabilities and prevent security issues, it is crucial to choose and use the latest versions of available cipher suites and disable obsolete suites. As noted by JSCAPE, to prevent attackers from exploiting the Logjam vulnerability to sabotage your connection, you must disable cipher suites that employ the Diffie-Hellman key exchange.

Here are some of the vulnerable ciphers that have been phased out with the release of TLS 1.3:

  • RC4
  • MD5
  • SHA-1
  • DSA
  • RSA Key Exchange</span
  • Static Diffie-Hellman (DH, ECDH)
  • Block ciphers (CBC)

TLS 1.2 Cipher Suites Vs. TLS 1.3 Cipher Suites

The reason why TLS 1.2 remains popular is because of the broad range of cipher suites it supports—37 cipher suites and four different algorithms or ciphers in each of them. However, not all are considered safe to use.

TLS 1.2 cipher suite ex: TLS_DHE_RSA_WITH_AES_256_GCM_SHA384

On the other hand, in order to bring high security as well as high efficiency, TLS 1.3 supports only five secure cipher suites and only two algorithms—the bulk data encryption algorithm and the Message Authentication Code (MAC) algorithm. It eliminated the RSA algorithm that added to the latency, and the key exchange occurs only through the Diffie-Hellman algorithm. So, both the algorithms are dropped from the name of the cipher suite.

As the number of cipher suites has been reduced along with its length, there are fewer negotiations, resulting in a significantly faster handshake and better security when compared to TLS 1.2. Faster handshakes not only boost website performance but also enhance user experience.

TLS 1.3 cipher suite ex: TLS_AES_256_GCM_SHA384

Bot Management, Mitigation, And Protection

What are Bot management, mitigation, and protection? 

A bot is an automated program that performs a variety of tasks. Bot management helps organizations distinguish the good bots from the bad to identify and block unwanted and malicious bot traffic. 

What is Bot Management? 

Bot management is the practice of knowing how bots impact your business and understanding their intent so you can respond appropriately to all incoming bot activity. After all, some bot platforms are “good,” and some are “bad.” 

Good bots are those we use to make our lives easier. For instance: search bots that help customers find what they’re looking for on the web and chatbots that improve customer experiences. 

Bot Management

Bad bots are malicious programs used to steal users’ sensitive information, attack websites, perform DDoS attacks, and steal intellectual property. At AppViewX, we define bots as any automated program that can disrupt or cause harm to our customers. That’s why it’s essential to stay aware of the operators that may be running the campaigns in question.  

Bot mitigation boils down to reducing the risk of a bot-related threat and eliminating any unwanted bot traffic from your network. Robots are the driving force behind automation, the starting point for many attacks today. Bots aren’t the only problem in the field of business intelligence. They’re just one of them. Other issues include poor data quality, lack of data privacy, high costs, etc. It’s essential to understand that there are no silver bullets when protecting against malicious bots and hackers. 

How can bad bots harm your business? 

  • Negatively affects SEO – Web-scraping bots can copy and extract data from websites and use it to make their websites look like the original. This often happens with content scraped from Wikipedia. Because there are two versions of the content online, this can significantly diminish your site’s search authority. 
  • Deteriorates customer trust – Bad bots are a big issue for e-commerce businesses. They can generate bad reviews, inflate views and follower counts, write fake social media posts, and post false content on your behalf. Activities like these can frustrate your customers, drive them away from your site, and ruin your reputation. Please make sure they always provide the best customer experience. 
  • Skews analytics – Hackers can use a botnet to launch Distributed Denial of Service (DDoS) attacks that makes an application or network unavailable. Botnet activity can cause problems for a company’s search and SEO rankings and impact their traffic. Poor data can lead to poor marketing decisions. 
  • Destroys advertising ROI – The best way to combat bot traffic is to make sure your ads are visible and easy to find. The quality score is a significant factor in determining which search results appear in the organic search engine results, so you need to monitor its performance closely. One of the worst things about click fraud is that it can be used to drive up competitors’ advertising costs deliberately. 
  • Loss of revenue – Unwanted bot traffic can be a pain to handle, but it is something you can deal with. Whether it be an unresponsive or flagged site, visitors redirect to a competitor, sales personnel chase false leads or opportunities, pay more for clicked ads, or make bad business decisions because of insufficient data. 

Why do you need a bot protection solution to manage and mitigate bot threats? 

A bot protection solution should address technical and business challenges that bots create: 

  • Proactively mitigate your bot risk – Protect your applications from automated attacks like account takeover, vulnerability reconnaissance, or denial of service. 
  • Optimize business Intelligence – Eliminate unwanted bot traffic that skews your legitimate business intelligence data. Focus your time and resources on real customer engagement. 
  • Improve performance, availability, and cost – By dropping malicious or unwanted traffic before it hits your applications, you can have a smaller and more predictable size of your applications’ supporting infrastructure. 

How does Appviewx protect against bot attacks? 

Automated threats require proactive security defenses. Bot Blocker is a web gateway used by ADCs for blocking malicious traffic before reaching your network, mitigating malicious bots performing account takeover, vulnerability reconnaissance, and Denial-of-Service (DoS) attacks targeted at your network or app layer. 

Manage your ADCs like F5, Nginx, Citrix, and AVI under one console with ADC+. Check out this link for more information around ADC+.

What is Bot mitigation? 

Over 50% of the world’s internet traffic comes from bots. It’s essential to manage bots. 

Identifying and blocking unwanted bot traffic 

Bot traffic is not just identified by identifying your bots’ traffic. Bot Mitigation is much more than that. After all, not all bots are bad. For example, some good bots are designed to find and find items online. Then there are “bad” bots. Some of them are so bad that they attempt to take over accounts, perform account takeovers and credential stuffing, and launch DDoS attacks.  

Bot mitigation is about identifying and blocking the unwanted or malicious bot traffic that hits your application or network to reduce your risk. You should always be suspicious if an automated system or process is causing damage or taking actions that could affect the security of your website. 

bot mitigation
Bot Mitigation types

Why bot mitigation is critical?

Many threats in any environment start with either a bot or a botnet. They help cybercriminals achieve scale. Technology will continue to evolve, and the threats to businesses from this evolving technology will also grow. When considering your overall security strategy, why is it so important to look at how you’ll mitigate malicious bots? Bad bots are the most complicated hit companies with the most potential for monetary gain. 

The top three bot-targeted industries are: 

  • Gambling sites are ripe targets for account takeover attacks like credential stuffing. 
  • Airlines and ticket sites constantly deal with denial of inventory or resource hoarding bots to ensure seats or tickets are available to actual customers. 
  • Financial institutions which are grappling with increased fraudulent activity across both web and mobile-based apps 

How to reduce your bot risk?

As bots increase their capabilities, it’s more important than ever to prepare your organization to deal with them. The best defense is protecting your IP, customer data, and critical back-end services from automated attacks. The best way to manage bot attacks is to target the bot engine and adopt a layered security approach to work to change attack vectors. Whether the bot is a person, a software application, or an automated process, the more you know about it, the better you can protect yourself from it. 

  • Move to fingerprint to identify beyond IP addresses. 
  • Use identity and reputation to help classify and prioritize bot vs. human traffic. 
  • Create bot “acceptable use” policies to make it easier to interact with and service the good bots 
  • Make your organization more secure by reviewing and bolstering its business processes to deal with fraud-related issues more efficiently. Fraudsters will choose easier targets if they can be sure your processes can deal with them. 
  • Employ actionable threat intelligence to determine the likelihood of being attacked and prioritize your response. 
  • Use a comprehensive, flexible, robust WAF to reduce and block unwanted traffic with proactive bot defense, headless browser detection, form and field-level encryption, layer 7 DoS mitigation, input sanitization, and behavioral analysis. 
  • It’s essential to use a machine learning tool to identify and mitigate new and evolving threats quickly. 

Application delivery controllers help in bot mitigation 

ADCs from the house of F5, Nginx, Citrix, etc., protect your application by blocking and dropping malicious bots that can perform account takeovers, vulnerability surveillance, and denial of service attacks against your network or app layer. ADC+ can manage these ADCs under one-control center, helping you mitigate the risk and improve efficiency. 

Application Virtualization

What is application virtualization? 

Application virtualization is the ability to run applications in a different environment than the one they were developed. Application Virtualization allows IT administrators to install applications on a server and then remotely deliver the apps to users’ computers. The experience of a virtualized application is the same as using the installed application on a physical machine. 

Application Virtualization

How does application virtualization work? 

In this age of cloud computing and server-based virtualization, the most common way to virtualize applications is to use a server-based approach. This means that an IT administrator installs applications for users in an organization’s data center or by using a hosting service. An IT admin then uses application virtualization software to deliver applications to users’ desktops or other connected devices. The user can then access and use the application as if it were locally installed on their machine, and the user’s actions are conveyed back to the server to be executed. Application virtualization is an integral part of digital workspaces and desktop virtualization. 

What are the top three benefits of application virtualization? 

The three most significant benefits of virtualized applications are: 

Simplified management: Application virtualization makes it much easier for IT to manage and maintain applications. Applications you want to deliver and deploy are installed on a single server. They are not installed on user devices. App virtualization does not allow you to do this because it provides applications from a server to the user. This simplifies installing and updating software and patches, but it also requires a single server to perform these operations. 

Scalability: Application virtualization lets IT admins deploy virtual applications to all connected devices, no matter what devices have their operating systems or how much storage space they offer. As a result, the organization spends less on computer hardware because employees only require basic computers to access the applications they need for work. A virtual machine, or AppVM for short, is software that allows users to run applications on a remote computer without having to install them on their device. 

Security:  Application virtualization technology allows IT administrators to manage which users can access what applications centrally. First, your IT admin must change your organization’s app permissions. Then, it’s easier to revoke licenses from any user who no longer needs them. With application virtualization, the IT admin doesn’t need to uninstall an app from a user’s device since it remains resident but is only accessible by the app’s container. This central control of app access is essential if a user’s device is lost or stolen. It gives IT admins complete control over app access and means that sensitive data can no longer be accessed remotely. 

ADC+ allows admins to administer RBAC to provide secure access to the apps from any device and location to keep workers safe on the go while reducing their IT burden. This feature allows various lines of business to manage their applications on their own. For deep dive into ADC+ features, you can visit this link.

API Security

What is API security? 

The goal of an API is to allow applications to communicate with each other without knowing about the communications protocol in detail and to abstract away the implementation details of the application to its consumer. 

With web applications and APIs, you can build an enterprise-scale cloud computing infrastructure in just a few days. Unfortunately, hackers always seek new ways to penetrate the most secure environments. But it’s not just hackers who want to access your data. You have a lot of other threats, too, such as SQL injections, server misconfigurations, and many more. Therefore, an API discovery solution is a vital element of a robust API security architecture. This is designed to help mitigate the security risks associated with API security by identifying malicious clients or APIs and then protecting other assets within the environment. 

What should an API security solution deliver? 

As IT environments become more complex, securing all APIs that connect the essential components and facilitate client access becomes more challenging. Clouds and application architectures span multiple clouds and application architectures. Cloud-native software components and services are emerging to deliver more intelligent, faster, and better-performing applications. To successfully secure an API, it is necessary to ensure that each request is authenticated and authorized using various methods. The best way to keep your data secure is by using a suitable API security solution. 

What does an API Security solution deliver?
What does an API Security solution deliver?

Following is a list of use cases that API Security solves for businesses:

  • Cloud security 
  • Botnet mitigation to prevent API misuse and abuse 
  • Integration with a WAF to thwart XSS attacks and SQL injections 
  • Discovery and inventory of your APIs through automation 
  • Security analytics and user behavior analytics, including API abuse detection 
  • API security against JSON- and XML-based threats and buffer overflows, as well as volumetric and layer 4-7 DDoS protection 
  • Centralized and highly configurable management of security policies 
  • A unified management portal with complete visibility into security governance across clouds 
  • Ultra-low latency and consistent protection for apps, no matter their locations 
  • A proxy for application traffic, equipped with DNS and BGP redirection 

A modern API security platform may use AI and ML to continuously adapt to changing threats to deliver these key API management and protection features. In addition, several points of presence (PoP) may be implemented to provide reliable performance and redundancy for your global audience. 

How to improve API security?

Automated APIs are vulnerable to cyberattacks that attempt to replay credentials stolen during data breaches. Botnets and DDoS attacks are always a concern, no matter how many measures you put to defend against them. The sophistication of these types of threats has only increased in tandem with the complexity of operational and security information environments. They rely on us to help them succeed: 

  • Workloads are deployed in multiple clouds, protected by a patchwork of disparate security tools corresponding to their respective environments. 
  •  Applications that are based on microservice architecture and require high-efficiency API access and communication and tight API security are growing in popularity. 
  •  Legacy application and API security solutions are designed for existing infrastructure. They, therefore, require a different set of skills than self-service cloud management consoles, which are used for initial deployment. 

The cybersecurity industry should specifically enforce access control, authorization, and authentication to keep advanced threats at bay. Still, it must also ensure that it consistently protects your network from all forms of attacks. API security solutions can deliver this comprehensive, layered cybersecurity level and more streamlined API management through convenient cloud-delivered services with capabilities. 

What to look for in an API security solution?

  • Configuration across multiple clouds 

API security solutions can help you reduce the amount of time you spend managing your APIs and infrastructure while minimizing operational and infrastructural complexity by allowing you to quickly and easily configure, scale, and maintain a highly available and robust. However, when it comes to securing API vulnerabilities, it’s best to do so via a unified self-service portal for all security administration and enforcement. 

  • Protection for any API 

With an API security platform, you can ensure that all data sent to and from your APIs are secure by performing a deep packet inspection, scanning, or testing. The API security platform needs to evolve and support additional back-end services and newly migrated applications to ensure that your APIs are secure. 

  • Integrated WAF 

The web application firewall (WAF) is designed to protect apps and APIs from even the most sophisticated threats within an API security architecture. In addition to signature scanning, it also protects against known attacks and API vulnerabilities. At the same time, a positive security model can be used to combat zero-day threats by preventing services that aren’t fundamentally required. 

  • Multi-layered DDoS defense 

Distributed denial-of-service (DDoS) attacks come in multiple forms, including ones that imitate legitimate requests. As we’ve already stated, one of the primary ways an API may be attacked is via a DDoS attack. This can be either a volumetric or application layer attack. Having an always-on, high-capacity, global scrubbing network may help mitigate DDoS attacks and ensure that only clean traffic is passed back to an organization’s infrastructure.

  • Bot mitigation and management 

They are highly automated. Bots can scrape information and overload APIs with junk requests. Real-time Bot Mitigation Tools may keep your APIs secure by implementing signatures and device fingerprinting. Integrating collaboration platforms allows you to develop dashboards and detailed reports on bot threats and other API security incidents. 

Did you know that one tool can help you simplify your application delivery and security? Check out ADC+

API Gateway

What is an API gateway? 

An API gateway is a single-entry point for all API calls made by your clients, including containerized web applications running on Kubernetes. A service-oriented architecture is the best approach for building APIs for different applications and services. The API gateway sits directly between desktop and mobile clients and the various services they’re trying to connect to. The API gateway serves up the content from the back-end data store as REST responses to requests from the API client. With the ability to provide network services as required by cloud, security, compliance, and performance requirements of microservices, and also as a basis for other features including WAF, API gateway, rate limiting, and authentication, this solution gives you complete visibility and control over what you expose and to whom you disclose.

API Gateway
API Gateway

Benefits of using API gateway 

APIs constitute a large and growing share of network traffic, and businesses need the correct practices and API management tools to optimize performance and protection. 

A digital transformation initiative aims to take an organization’s business and IT applications to a new level. As these organizations are busy implementing digital initiatives, they’re trying to scale their APIs and find the right way to integrate them securely. Some benefits of using API gateway include: 

  • Consistent enforcement of authentication and WAF policies for API access 
  • Load balance and route API requests to the optimal destination based on your application’s needs 
  • Know if APIs are being abused, for instance, by excessive API calls 
  • Rate limit and audit API traffic as needed to protect back-end services 
  • Collect detailed analytics on API requests and traffic 
  • Determine if microservices architectures are working as designed 
  • Reduce operational complexity by consolidating network functions 
  • Improve app performance with fewer TCP and TLS decryption hops 
  • Apply rewrite and responder policies to HTTP transactions 
  • Broadly shield APIs from threats like injection attacks and data exposure 

With API Gateway, it’s possible to gain comprehensive API management and protection for fulfilling the core tasks and other ones that arise as they develop. 

How an API gateway works 

An API gateway performs a wide range of management and protective functions. 

Authentication and authorization: API Gateways let organizations validate and inspect API calls and authorize their requests. They also provide many other valuable services, including authentication, rate limiting, and rate-based billing. An API gateway configuration can also be customized to limit API access by application and user. 

Rate limiting and traffic analysis: 

API gateways are designed to throttle incoming requests to avoid overload or provide greater control over outgoing requests to other services. Granular controls may include:

  • Rate limits.
  • Sending alerts about anomalous API traffic.
  • Allowing for the throttling of request frequencies. 

WAF policy configuration and enforcement: API Gateways help prevent injection attacks by maintaining policies that protect your API instances and endpoints. They can automatically update WAF signatures, enabling you to make your application more secure. And they can perform code analysis for security vulnerabilities, such as buffer overflows. 

Content routing and optimization: An API gateway helps you route API calls to the best available destination by providing a combination of load balancing and content switching capabilities. Parameters for routing include the URL path, HTTP method, and a policy expression that determines the result. 

Rewrite and responder policy management: 

Protocol-aware policy expressions can be used for transforming HTTP transactions as they pass through an API gateway. With the help of writing and responding policies, client requests can be reliably sent to the optimal destinations. 

Single-Pass security insights and enforcement: The modern API gateway consolidates multiple API security functions into one appliance that handles WAF, load balancing, content routing, and more in a single pass. This simplification of the security architecture for the API Gateway improves application performance by eliminating unnecessary steps that the application must perform to get through the API gateway. 

API gateway solutions 

Enterprises have long been aware of the dangers posed by malicious and unprofessional activity on the Internet. Enterprises are constantly battling cyberattacks, which they often face through inadequate security controls. They must also pay the price of data loss when their network security is breached. 

You can use the API Gateway functionality in ADCs, which serves as the ingress gateway for all north-south traffic into your ADC cluster.  

ADC simplifies APIs’ creation, publication, maintenance, and security. In addition, many advanced features enable protection against the most sophisticated attacks and threats when it comes to enterprise application security. You can use Appviewx ADC+ to manage all your ADC changes including F5, Citrix, Nginx, A10, AVI, and more.