Virtual Desktop Strategies, Server Hypervisors
Article | April 27, 2023
Network virtualization has emerged as the widely recommended solution for the networking paradigm's future. Virtualization has the potential to revolutionize networks in addition to providing a cost-effective, flexible, and secure means of communication.
Network virtualization isn't an all-or-nothing concept. It can help several organizations with differing requirements, or it can provide a bunch of new advantages for a single enterprise. It is the process of combining a network's physical hardware into a single, virtual network. This is often accomplished by running several virtual guest machines in software containers on a single physical host system.
Network virtualization is indeed the new gold standard for networking, and it is being embraced by enterprises of all kinds globally. By integrating their current network gear into a single virtual network, businesses can reduce operating expenses, automate network and security processes, and lay the groundwork for future growth.
Network virtualization also enables organizations to simulate traditional hardware like servers, storage devices, and network resources. The physical network performs basic tasks like packet forwarding, while virtual versions handle more complex activities like networking service management and deployment.
Addressing Network Virtualization Challenges
Surprisingly, IT teams might encounter network virtualization challenges that are both technical and non-technical in nature. Let's look at some common challenges and discuss how to overcome them.
Change in Network Architecture
Practically, the first big challenge is shifting from an architecture that depends heavily on routers, switches, and firewalls. Instead, these services are detached from conventional hardware and put on hypervisors that virtualize these operations. Virtualized network services are shared, scaled, and moved as required.
Migrating current LANs and data centers to a virtualized platform require careful planning. This migration involves the following tasks:
Determine how much CPU, computation, and storage resources will be required to run virtualized network services.
Determine the optimal approach for integrating network resilience and security services.
Determine how the virtualized network services will be implemented in stages to avoid disrupting business operations.
The key to a successful migration is meticulous preparation by architects who understand the business's network requirements. This involves a thorough examination of existing apps and services, as well as a clear knowledge of how data should move across the company most effectively.
Moreover, a progressive approach to relocation is often the best solution. In this instance, IT teams can make changes to the virtualization platform without disrupting the whole corporate network.
Network virtualization has the potential to considerably expand the number of logical technology layers that must collaborate. As a result, traditional network and data center monitoring technologies no longer have insight into some of these abstracted levels. In other circumstances, visibility can be established, but the tools fail to show the information correctly so that network operators can understand it. In either case, deploying and managing modern network visibility technologies is typically the best choice. When an issue arises, NetOps personnel are notified of the specific service layer.
Automation and AI
The enhanced level of automation and self-service operations that can be built into a platform is a fundamental aspect of network virtualization. While these activities can considerably increase the pace of network upgrades while decreasing management overhead, they need the documentation and implementation of a new set of standards and practices. Understand that prior network architectures were planned and implemented utilizing actual hardware appliances on a hop-by-hop basis. A virtualized network, on the other hand, employs a centralized control plane to govern and push policies to all sections of the network. Changes may occur more quickly in this aspect, but various components must be coordinated to accomplish their roles in harmony.
As a result, network teams should move their attention away from network operations that are already automated. Rather, their new responsibility is to guarantee that the core automation processes and AI are in sync in order to fulfill those automated tasks.
Driving Competitive Edge with Network Virtualization
Virtualization in networking or virtual machines within an organization is not a new trend. Even small and medium businesses have realized the benefits of network virtualization, especially when combined with a hosted cloud service provider. Because of this, the demand for enterprise network virtualization is rising, driving higher end-user demands and the proliferation of devices and business tools. These network virtualization benefits can help boost business growth and gain a competitive edge.
Gaining a Competitive Edge: Network Virtualization Benefits
Cost-Savings on Hardware
Faster Desktop and Server Provisioning and Deployment
Improved Data Security and Disaster Recovery
Increasing IT Operational Efficiency
Small Footprint and Energy Saving
Network Virtualization: The Path to Digital Transformation
Business is at the center of digital transformation, but technology is needed to make it happen. Integrated clouds, highly modern data centers, digital workplaces, and increased data center security are all puzzle pieces, and putting them all together requires a variety of various products and services that are deployed cohesively.
The cloud revolution is still having an influence on IT, transforming how digital content is consumed and delivered. This should come as no surprise that such a shift has influenced how we feel about current networking. When it boils down to it, the purpose of digital transformation for every company, irrespective of industry, is the same: to boost the speed with which you can respond to market changes and evolving business needs; to enhance your ability to embrace and adapt to new technology, and to improve overall security. As businesses realize that the underlying benefit of cloud adoption and enhanced virtualization isn't simply about cost savings, digital strategies are evolving, becoming more intelligent and successful in the process.
Network virtualization is also a path toward the smooth digital transformation of any business.
How does virtualization help in accelerating digital transformation?
Combining public and private clouds, involving hardware-based computing, storage, and networking software definition. A hyper-converged infrastructure that integrates unified management with virtualized computing, storage, and networking could be included.
Creating a platform for greater productivity by providing the apps and services consumers require when and when they utilize them. This should include simplifying application access and administration as well as unifying endpoint management.
Improving network security and enhancing security flexibility to guarantee that quicker speed to market is matched by tighter security.
Virtualization will also help businesses to move more quickly and safely, bringing products—and profits—to market faster.
Enhancing Security with Network Virtualization
Security has evolved as an essential component of every network architecture. However, since various areas of the network are often segregated from one another, it might be challenging for network teams to design and enforce network virtualization security standards that apply to the whole network.
Zero trust can integrate such network parts and their accompanying virtualization activities. Throughout the network, the zero-trust architecture depends on the user and device authentication. If LAN users wish to access data center resources, they must first be authenticated.
The secure connection required for endpoints to interact safely is provided by a zero-trust environment paired with network virtualization. To facilitate these interactions, virtual networks can be ramped up and down while retaining the appropriate degree of traffic segmentation.
Access policies, which govern which devices can connect with one another, are a key part of this process. If a device is allowed to access a data center resource, the policy should be understood at both the WAN and campus levels.
Some of the core network virtualization security features are:
Isolation and multitenancy are critical features of network virtualization.
Segmentation is related to isolation; however it is utilized in a multitier virtual network.
A network virtualization platform's foundation includes firewalling technologies that enable segmentation inside virtual networks.
Network virtualization enables automatic provisioning and context-sharing across virtual and physical security systems.
Investigating the Role of Virtualization in Cloud Computing
Virtualization in the cloud computing domain refers to the development of virtual resources (such as a virtual server, virtual storage device, virtual network switch, or even a virtual operating system) from a single resource of its type that also shows up as several personal isolated resources or environments that users can use as a separate individual physical resource.
Virtualization enables the benefits of cloud computing, such as ease of scaling up, security, fluid or flexible resources, and so on. If another server is necessary, a virtual server will be immediately created, and a new server will be deployed. When we need more memory, we increase the virtual server configurations we currently have, and we now have the extra RAM we need. As a result, virtualization is the underlying technology of the cloud computing business model.
The Benefits of Virtualization in Cloud Computing:
Efficient hardware utilization
Virtualization improves availability
Disaster recovery is quick and simple
Energy is saved by virtualization
Setup is quick and simple
Cloud migration has become simple
Motivating Factors for the Adoption of Network Virtualization
Demand for enterprise networks continues to climb, owing to rising end-user demands and the proliferation of devices and business software. Thanks to network virtualization, IT companies are gaining the ability to respond to shifting demands and match their networking capabilities with their virtualized storage and computing resources. In fact, according to a recent SDxCentral report, 88% of respondents believe it is "important" or "mission critical" to implement a network virtualization software over the next two to five years.
Virtualization is also an excellent alternative for businesses that employ outsourced IT services, are planning mergers or acquisitions or must segregate IT teams owing to regulatory compliance.
Reasons to Adopt Network Virtualization:
A Business Needs Speed
Security Requirements Are Rising
Apps can Move Around
IT Automation and Orchestration
Reduce Hardware Dependency and CapEx: Adopt Multi-Tenancy Cloud
Network virtualization and cloud computing are emerging technologies of the future. As CIOs get actively involved in organizational systems, these new concepts will be implemented in more businesses. As consumer demand for real-time services expands, businesses will be driven to explore network virtualization as the best way to take their networks to the next level. The networking future is here.
Why is network virtualization important for business?
By integrating their current network gear into a single virtual network, businesses can reduce operating expenses, automate network and security processes, and set the stage for future growth.
Where is network virtualization used?
Network virtualization can be utilized in application development and testing to simulate hardware and system software realistically. Network virtualization in application performance engineering allows for the modeling of connections among applications, services, dependencies, and end users for software testing.
How does virtualization work in cloud computing?
Virtualization, in short, enables cloud providers to provide users alongside existing physical computer infrastructure. As a simple and direct process, it allows cloud customers to buy only the computing resources they require when they want them and to maintain those resources cost-effectively as the demand grows.
Virtual Desktop Tools
Article | August 12, 2022
The modern application world is advancing at an unprecedented rate. However, the new possibilities these transformations make available don’t come without complexities. IT teams often find themselves under pressure to keep up with the speed of innovation. That’s why VMware provides a production-ready container platform for customers that aligns to upstream Kubernetes, VMware Tanzu Kubernetes Grid Integrated (formerly known as VMware Enterprise PKS).
By working with VMware, customers can move at the speed their businesses demand without the headache of trying to run their operations alone. Our offerings help customers stay current with the open source community's innovations while having access to the support they need to move forward confidently.
Many changes have been made to Tanzu Kubernetes Grid Integrated edition over the past year that are designed to help customers keep up with Kubernetes advancements, move faster, and enhance security.
The latest version, Tanzu Kubernetes Grid Integrated 1.13, bumped to Kubernetes version 1.22 and removed beta APIs in favor of stable APIs that have since evolved from the betas.
Over time, some APIs will evolve. Beta APIs typically evolve more often than stable APIs and should therefore be checked before updates occur. The APIs listed below will not be served with v1.22 as they have been replaced by more stable API versions:
Beta versions of the ValidatingWebhookConfiguration and MutatingWebhookConfiguration API (the admissionregistration.k8s.io/v1beta1 API versions)
The beta CustomResourceDefinition API (apiextensions.k8s.io/v1beta1)
The beta APIService API (apiregistration.k8s.io/v1beta1)
The beta TokenReview API (authentication.k8s.io/v1beta1)
Beta API versions of SubjectAccessReview, LocalSubjectAccessReview, SelfSubjectAccessReview (API versions from authorization.k8s.io/v1beta1)
The beta CertificateSigningRequest API (certificates.k8s.io/v1beta1)
The beta Lease API (coordination.k8s.io/v1beta1)
All beta Ingress APIs (the extensions/v1beta1 and networking.k8s.io/v1beta1 API versions)
Tanzu Kubernetes Grid Integrated helps customers eliminate lengthy deployment and management processes with on-demand provisioning, scaling, patching, and updating of Kubernetes clusters.
To stay in alignment with the Kubernetes community, Containerd will be used as the default container runtime, although Docker can still be selected using the command-line interface (CLI) if needed.
Several updates have been made in regards to networking as well including support of Antrea and NSX-T enhancements.
With Tanzu Kubernetes Grid Integrated version 1.10 and later, customers can leverage Antrea on install or upgrade to use Kubernetes network policies. This enables enterprises to get the best of both worlds: access to the latest innovation from Antrea and world-class support from VMware.
NSX-T was integrated with Tanzu Kubernetes Grid Integrated to simplify container networking and increase security. This has been enhanced so customers can now choose the policy API as an option on a fresh installation of Tanzu Kubernetes Grid Integrated. This means that users will have access to new features available only through NSX-T policy API. This feature is currently in beta.
In addition, more NSX-T and NSX Container Plug-in (NCP) configuration is possible through the network profiles. This operator command provides the benefit of being able to set configurations through the CLI, and this is persistent across lifecycle events.
We’ve made storage operations in our customers’ container native environments easier, too. Customers were seeking a simpler and more secure way to manage Container Storage Interface (CSI), and we introduced automatic installation of the vSphere CSI driver as a BOSH process beginning with Tanzu Kubernetes Grid Integrated 1.11.
Also, as VCP will be deprecated, customers are advised to use the CSI driver. VCP-to-CSI migration is a part of Tanzu Kubernetes Grid Integrated 1.12 and is designed to help customers move forward faster.
Implementing new technologies provides users with new capabilities, but it can also lead to new security vulnerabilities if not done correctly. VMware’s goal is to help customers move forward with ease and the confidence of knowing that enhancements don’t compromise core security needs.
This year, Tanzu Kubernetes Grid Integrated continued to see improvements that help meet today’s high security standards. Meeting the Center for Internet Security (CIS) benchmarks standards is vital for Tanzu Kubernetes Grid Integrated.
In recent Tanzu Kubernetes Grid Integrated releases, a few Kubernetes-related settings have been adjusted to ensure compliance with CIS requirements:
Kube-apiserver with --kubelet-certificate-authority settings (v1.12)
Kube-apiserver with --authorization-mode argument includes Node (v1.12)
Kube-apiserver with proper --audit-log-maxage argument (v1.13)
Kube-apiserver with proper --audit-log-maxbackup argument (v1.13)
Kube-apiserver with proper --audit-log-maxsize argument (v1.13)
Tanzu Kubernetes Grid Integrated secures all communication between its control plane components and the Kubernetes clusters it manages, using TLS validated by certificates. The certificate rotations have been simplified in recent releases. Customers can now list and simply update certificates on a cluster-by-cluster basis through the “tkgi rotate-certificates” command. The multistep, manual process was replaced with a single CLI command to rotate NSX-T certificates (available since Tanzu Kubernetes Grid Integrated 1.10) and cluster-by-cluster certificates (available since Tanzu Kubernetes Grid Integrated 1.12).
Hardening of images
Tanzu Kubernetes Grid Integrated keeps OS images, container base images, and software library versions updated to remediate the CVEs reported by customers and in the industry. It also continues to use the latest Ubuntu Xenial Stemcell latest versions for node virtual machines. With recent releases and patch versions, the version of dockerd, containerd, runc, telegraf, nfs-utils had been bumped to the latest stable and secure versions as well.
By using Harbor as a private registry management service, customers could also leverage the built-in vulnerability scan features to discover the application images CVEs.
VMware is dedicated to supporting customers with production readiness by enhancing the user experience. Tanzu Kubernetes Grid Integrated Edition has stayed up to date with the Kubernetes community and provides customers with the support and resources they need to innovate rapidly.
Virtual Desktop Strategies
Article | July 26, 2022
2. Software Development and Secure Testing
3. Using VMs in Software Development and Secure Testing
“Testing is an infinite process of comparing the invisible to the ambiguous in order to avoid the unthinkable happening to the anonymous.” —James Bach.
Testing software is crucial for identifying and fixing security vulnerabilities. However, meeting quality standards for functionality and performance does not guarantee security. Thus, software testing nowadays is a must to identify and address
application security vulnerabilities to maintain the following:
Security of data history, databases, information, and servers
Customers’ integrity and trust
Web application protection from future attacks
VMs provide a flexible and isolated environment for software development and security testing. They offer easy replication of complex configurations and testing scenarios, allowing efficient issue resolution. VMs also provide secure testing by isolating applications from the host system and enabling a reset to a previous state. In addition, they facilitate DevOps practices and streamline the development workflow.
2. Software Development and Secure Testing
Software Secure Testing: The Approach
The following approaches must be considered while preparing and planning for security tests:
Architecture Study and Analysis: Understand whether the software meets the necessary requirements.
Threat Classification: List all potential threats and risk factors that must be tested.
Test Planning: Run the tests based on the identified threats, vulnerabilities, and security risks.
Testing Tool Identification: For software security testing tools for web applications, the developer must identify the relevant security tools to test the software for specific use cases.
Test-Case Execution: After performing a security test, the developer should fix it using any suitable open-source code or manually.
Reports: Prepare a detailed test report of the security tests performed, containing a list of the vulnerabilities, threats, and issues resolved and the ones that are still pending.
Ensuring the security of an application that handles essential functions is paramount. This may involve safeguarding databases against malicious attacks or implementing fraud detection mechanisms for incoming leads before integrating them into the platform.
Maintaining security is crucial throughout the software development life cycle (SDLC) and must be at the forefront of developers' minds while executing the software's requirements. With consistent effort, the SDLC pipeline addresses security issues before deployment, reducing the risk of discovering application vulnerabilities while minimizing the damage they could cause.
A secure SDLC makes developers responsible for critical security. Developers need to be aware of potential security concerns at each step of the process. This requires integrating security into the SDLC in ways that were not needed before. As anyone can potentially access source code, coding with potential vulnerabilities in mind is essential. As such, having a robust and secure SDLC process is critical to ensuring applications are not subject to attacks by hackers.
3. Using VMs in Software Development and Secure Testing:
Snapshotting: Snapshotting allows developers to capture a VM's state at a specific point in time and restore it later. This feature is helpful for debugging and enables developers to roll back to a previous state when an error occurs. A virtual machine provides several operations for creating and managing snapshots and snapshot chains. These operations let users create snapshots, revert to any snapshots in the chain, and remove snapshots. In addition, extensive snapshot trees can be created to streamline the flow.
Virtual Networking: It allows virtual machines to be connected to virtual networks that simulate complex network topologies, allowing developers to test their applications in different network environments. This allows expanding data centers to cover multiple physical locations, gaining access to a plethora of more efficient options. This empowers them to effortlessly modify the network as per changing requirements without any additional hardware. Moreover, providing the network for specific applications and needs offers greater flexibility. Additionally, it enables workloads to be moved seamlessly across the network infrastructure without compromising on service, security, or availability.
Resource Allocation: VMs can be configured with specific resource allocations such as CPU, RAM, and storage, allowing developers to test their applications under different resource constraints. Maintaining a 1:1 ratio between the virtual machine processor and its host or core is highly recommended. It's crucial to refrain from over-subscribing virtual machine processors to a single core, as this could lead to stalled or delayed events, causing significant frustration and dissatisfaction among users. However, it is essential to acknowledge that IT administrators sometimes overallocate virtual machine processors. In such cases, a practical approach is to start with a 2:1 ratio and gradually move towards 4:1, 8:1, 12:1, and so on while bringing virtual allocation into IT infrastructure. This approach ensures a safe and seamless transition towards optimized virtual resource allocation.
Containerization within VMs: Containerization within VMs provides an additional layer of isolation and security for applications. Enterprises are finding new use cases for VMs to utilize their in-house and cloud infrastructure to support heavy-duty application and networking workloads. This will also have a positive impact on the environment. DevOps teams use containerization with virtualization to improve software development flexibility. Containers allow multiple apps to run in one container with the necessary components, such as code, system tools, and libraries. For complex applications, both virtual machines and containers are used together. However, while containers are used for the front-end and middleware, VMs are used for the back-end.
VM Templates: VM templates are pre-configured virtual machines that can be used as a base for creating new virtual machines, making it easier to set up development and testing environments. A VM template is an image of a virtual machine that serves as a master copy. It includes VM disks, virtual devices, and settings. By using a VM template, cloning a virtual machine multiple times can be achieved. When you clone a VM from a template, the clones are independent and not linked to the template. VM templates are handy when a large number of similar VMs need to be deployed. They preserve VM consistency. To edit a template, convert it to a VM, make the necessary changes, and then convert the edited VM back into a new template.
Remote Access: VMs can be accessed remotely, allowing developers and testers to collaborate more effectively from anywhere worldwide. To manage a virtual machine, follow these steps: enable remote access, connect to the virtual machine, and then access the VNC or serial console. Once connected, full permission to manage the virtual machine is granted with the user's approval. Remote access provides a secure way to access VMs, as connections can be encrypted and authenticated to prevent unauthorized access. Additionally, remote access allows for easier management of VMs, as administrators can monitor and control virtual machines from a central location.
DevOps Integration: DevOps is a collection of practices, principles, and tools that allow a team to release software quickly and efficiently. Virtualization is vital in DevOps when developing intricate cloud, API, and SOA systems. Virtual machines enable teams to simulate environments for creating, testing, and launching code, ultimately preserving computing resources.
While commencing a bug search at the API layer, teams find that virtual machines are suitable for test-driven development (TDD). Virtualization providers handle updates, freeing up DevOps teams, to focus on other areas and increasing productivity by 50 –60%. In addition, VMs allow for simultaneous testing of multiple release and patch levels, improving product compatibility and interoperability.
The outlook for virtual machine applications is highly promising in the development and testing fields. With the increasing complexity of development and testing processes, VMs can significantly simplify and streamline these operations. In the future, VMs are expected to become even more versatile and potent, providing developers and testers with a broader range of tools and capabilities to facilitate the development process.
One potential future development is integrating machine learning and artificial intelligence into VMs. This would enable VMs to automate various tasks, optimize the allocation of resources, and generate recommendations based on performance data. Moreover, VMs may become more agile and lightweight, allowing developers and testers to spin up and spin down instances with greater efficiency.
The future of VM applications for software development and security testing looks bright, with continued innovation and development expected to provide developers and testers with even more powerful and flexible tools to improve the software development process.
Article | May 17, 2023
Learn setting up a Docker and Kubernetes environment with the right considerations and choose the best-suited software from ten leading tools, softwares and platforms for your business needs.
The blog discusses how Kubernetes and Docker can boost software development and deployment productivity. In addition, it covers the benefits of the role of Kubernetes in orchestrating containerized applications and best practices for implementing these technologies to improve efficiency and streamline workflows. Docker and Kubernetes are both essential containerization ecosystem utilities. Kubernetes, an excellent DevOps solution, manages and automates containers' deployment and scaling, along with operating across clusters of hosts, whereas Docker is used for creating and operating containers. The blog covers tips to consider while choosing tools/platforms. It further enlists ten platforms providing Kubernetes and Docker, featuring their offerings.
1. Considerations While Setting Up a Development Environment with Kubernetes and Docker
1.1 Fluid app delivery
A platform for application development must provide development teams with high velocity. Two factors contribute to high velocity: rapid application delivery and brief development cycles. Application platforms must support build processes that start with source code. The platforms must also facilitate the repetitive deployment of applications on any remote staging instance.
1.2 Polyglot support
Consistency is the defining characteristic of an application platform. On-demand, repetitive, and reproducible builds must be supported by the platform. Extending a consistent experience across all languages and frameworks elevates the platform experience. The platform must support a native build process and the ability to develop and customize this build process.
1.3 Baked-in security
Containerized environments are secured in a significantly different manner than conventional applications. A fundamental best practice is to utilize binaries compiled with all necessary dependencies. The build procedure should also include a directive to eliminate unnecessary components for the application's operation. Setting up a zero-trust architecture between platform components that orchestrate deployments significantly improves the workloads' security posture.
1.4 Adjustable abstractions
A platform with paved paths and the flexibility to accommodate the requirements of software engineering teams has a greater chance of success. Open-source platforms score highly in this regard, particularly those with modular architectures that allow the team to swap out parts as they adjust.
2.Top Tips to Consider While Choosing Tools and Platforms for Kubernetes and Docker
Configuring Kubernetes or Docker can be complex and resource-intensive. A production-ready platform will ensure having the necessary fully automated features without the need for configuration. Security is an essential aspect of production readiness. Additionally, automation is critical, as production readiness requires that the solution manage all cluster management duties. Automated backup, recovery, and restore capabilities must be considered. Also, ensure the high availability, scalability, and self-healing of the cluster's platform.
As the cloud and software evolve, a system's hosting location may affect its efficacy. The current trend is a multi-cloud strategy. Ensure that the platform can support abstracting from cloud or data center providers and building a shared infrastructure across clouds, cloud regions, and data centers, as well as assist in configuring them if required. According to a recent study, nearly one-third of organizations are already collaborating with four or more cloud service providers. (Source: Microsoft and 451 Research)
2.3 Ease of Administration
Managing a Docker or Kubernetes cluster is complex and requires various skill sets. Kubernetes generates a lot of unprocessed data, which must be interpreted to comprehend what's happening with the cluster. Early detection and intervention are crucial to disaster prevention. Identifying a platform that eliminates the issue of analyzing raw data is essential. By incorporating automated intelligent monitoring and alerts, such solutions can provide critical status, error, event, and warning data to take appropriate action.
2.4 Assistance and Training
As the organization begins to acquire Kubernetesor Docker skills, it is essential to have a vendor that can provide 24/7 support and training to ensure a seamless transition. Incorrect implementation will add a layer of complexity to infrastructure management. Leverage automation tools that offer the support needed to use Kubernetes and Docker without the management burden.
3. 10 Tools and Platforms Providing Kubernetes and Docker
3.1 Aqua Cloud Native Security Platform:
Aqua Security provides the Aqua Cloud Native Security Platform, a comprehensive security solution designed to protect cloud-native applications and microservices. Aqua offers end-to-end security for applications operating on Docker Enterprise Edition (Community Edition), protecting the DevOps pipeline and production workloads with complete visibility and control. It provides end-to-end security across the entire application lifecycle, from development to production, for both containerized and serverless workloads. In addition, it automates prevention, detection, and response across the whole application lifecycle to secure the build, cloud infrastructure, and operating workloads, regardless of where they are deployed.
3.2 Weave Gitops Enterprise
Weave GitOps Enterprise, a full-stack, developer-centric operating model for Kubernetes, creates and contributes to several open-source projects. Its products and services enable teams to design, build, and operate their Kubernetes platform at scale. Built by the creators of Flux and Flagger, Weave GitOps allows users to deploy and manage Kubernetes clusters and applications in the public or private cloud or their own data center. Weave GitOps Enterprise helps simplify Kubernetes with fully automated continuous delivery pipelines that roll out changes from development to staging and production. Weaveworks has used Kubernetes in production for over eight years and has developed that expertise into Weave GitOps Enterprise.
3.3 Mirantis Kubernetes Engine
Mirantis provides the Mirantis Kubernetes Engine, a platform designed to help organizations deploy, manage, and scale their Kubernetes clusters. It includes features such as container orchestration, automated deployment, monitoring, and high availability, all designed to help organizations build and run their applications at scale. Mirantis Kubernetes Engine also includes a set of tools for managing the lifecycle of Kubernetes clusters, including cluster deployment, upgrades, and patching. It also has security scanning and policy enforcement features, as well as integration with other enterprise IT systems such as Active Directory and LDAP.
3.4 Portworx by Pure Storage
Portworx's deep integration into Docker gives Portworx container data services benefits directly through the Docker Swarm scheduler. Swarm service creation brings the management capability of Portworx to the Docker persistent storage layer to avoid complex tasks such as increasing the storage pool without container downtime and problems like stuck EBS drives. Portworx is also a multi-cloud-ready Kubernetes storage and administration platform designed to simplify and streamline data management in Kubernetes. The platform abstracts the complexity of data storage in Kubernetes. Additionally, it serves as a software-defined layer that aggregates Kubernetes nodes' data storage into a virtual reservoir.
Platform9 provides a powerful IDE for developers for simplified in-context views of pods, logs, events, and more. Both development and operations teams can access the information they need in an instant, secured through SSO and Kubernetes RBAC. The industry’s first SaaS-managed approach combined with a best-in-class support and customer success organization with a 99.9% consistent CSAT rating delivers production-ready K8s to organizations of any size. It provides services to deploy a cluster instantly, achieve GitOps faster, and take care of every aspect of cluster management, including remote monitoring, self-healing, automatic troubleshooting, and proactive issue resolution, around the clock.
3.6 Kubernetes Network Security
Sysdig provides Kubernetes Network Security, a solution that offers cloud security from source to run. The product provides network security for Kubernetes environments by monitoring and blocking suspicious traffic in real time. It helps organizations protect their Kubernetes clusters against advanced threats and attacks. The product and Sysdig Secure offer Kubernetes Network Monitoring to investigate suspicious traffic and connection attempts, Kubernetes-Native Microsegmentation to enable microsegmentation without breaking the application, and Automated Network Policies to save time by automating Kubernetes network policies.
3.7 Kubernetes Operations Platform for Edge
Rafay delivers a production-ready Kubernetes Operations Platform for Edge, streamlining ongoing operations for edge applications. It provides centralized multi-cluster management to deploy, manage, and upgrade all Kubernetes clusters from a single console across all edge nodes. In addition, it offers comprehensive lifecycle management, with which users can quickly and easily provision Kubernetes clusters at the edge, where cluster updates and upgrades are seamless with no downtime. Furthermore, the KMC for Edge quickly integrates with enterprise-class SSO solutions such as Okta, Ping One, and Azure AD, among others. Other features include standardized clusters and workflows, integration and automation, and centralized logging and monitoring.
3.8 Opcito Technologies
Opcito provides simplified container management with efficient provisioning, deployment, scaling, and networking. Its application containerization expertise helps containerize existing and new applications and dependencies. Opcito is well-versed in leading container orchestration platforms like Docker Swarm and Kubernetes. While it helps choose the container platform that best suits specific application needs, it also helps with the end-to-end management of containers so clients can release applications faster and focus on innovation and business. The container management and orchestration services include: building secured microservices, Enterprise-scale Container Management and Orchestration, Orchestration, and Container Monitoring.
3.9 D2iQ Kubernetes Platform (DKP)
D2iQ (DKP) enables enterprises to take advantage of all the benefits of cloud-native Kubernetes while laying the groundwork for intelligent cloud-native innovation by simplifying Kubernetes deployment and maintenance. It simplifies and automates the most difficult parts of an enterprise Kubernetes deployment across all infrastructures. DKP helps enterprises easily overcome operational barriers and set them up in minutes and hours rather than weeks and months. In addition, DKP simplifies Kubernetes management through automation using GitOps workflow, observability, application catalog, real-time cost management, and more.
Spektra, by Diamanti, a multi-cluster management solution for DevOps and production teams, provides centralized multi-cluster management, a single control plane to deliver everything needed to provision and manage the lifecycle of multiple clusters. Spektra is built to cater to business needs, from air-gapped on-prem deployments to hybrid and multi-cloud infrastructures. It also enables stretching resources across different clusters within the tenant. Furthermore, it allows you to move workloads and their associated data from one cluster to another directly from its dashboard. Spektra integrates with lightweight directory access protocols (LDAP) and Active Directory (AD) to enable user authentication and streamline resource access. In addition, it offers application migration, data mobility, and reporting.
It is evident that Kubernetes and Docker can significantly boost software development and deployment productivity. By adopting appropriate containerization platforms and leveraging Kubernetes for orchestration, organizations can streamline workflows, improve efficiency, and enhance the reliability of their applications. Furthermore, following the tips to choose the tools or platform carefully can further improve productivity.