Security concerns hampering adoption of containers and Kubernetes

Enterprises are having significant problems with security when it comes to Kubernetes and container deployments, according to a new survey from security company StackRox. In the winter 2020 edition of its State of Container and Kubernetes Security Report, StackRox researchers found that 94% of respondents experienced a security incident in their Kubernetes and container environments during the last 12 months. This very high number of security incidents led to about 44% of organizations delaying or outright halting application deployment into production.Researchers spoke with more than 540 IT professionals, the majority of whom work for tech companies or organizations involved in financial services.

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Pluribus Networks

Pluribus Networks software-defined, open networking, fabric and SDN solutions transform existing network infrastructures into flexible and strategic assets fully aligned with today’s digital business needs. Our Virtualization-Centric Fabric (VCF™) architecture provides unprecedented insight, agility and security to customers seeking to simplify operations, run more cost effectively and bring new applications online faster.

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Server Virtualization

Efficient Management of Virtual Machines using Orchestration

Article | May 17, 2023

Contents 1. Introduction 2. What is Orchestration? 3. How Orchestrating Help Optimize VMs Efficiency? 3.1. Resource Optimization 3.2 Dynamic Scaling 3.3 Faster Deployment 3.4 Improved Security 3.5 Multi-Cloud Management 3.6 Improved Collaboration 4. Considerations while Orchestrating VMs 4.1. Together Hosting of Containers and VMs 4.2 Automated Backup and Restore for VMs 4.3 Ensure Replication for VMs 4.4 Setup Data Synchronization for VMs 5. Conclusion 1. Introduction Orchestration is a superset of automation. Cloud orchestration goes beyond automation, providing coordination between multiple automated activities. Cloud orchestration is increasingly essential due to the growth of containerization, which facilitates scaling applications across clouds, both public and private. The demand for both public cloud orchestration and hybrid cloud orchestration has increased as businesses increasingly adopt a hybrid cloud architecture. The quick adoption of containerized, micro-services-based apps that communicate over APIs has fueled the desire for automation in deploying and managing applications across the cloud. This increase in complexity has created a need for VM orchestration that can manage numerous dependencies across various clouds with policy-driven security and management capabilities. 2. What is Orchestration? Orchestration refers to the process of automating, coordinating, and managing complex systems, workflows, or processes. It typically entails the use of automation tools and platforms to streamline and coordinate the deployment, configuration, management of applications and services across different environments. This includes development, testing, staging, and production. Orchestration tools in cloud computing can be used to automate the deployment and administration of containerized applications across multiple servers or clusters. These tools can help automate tasks such as container provisioning, scaling, load balancing, and health monitoring, making it easier to manage complex application environments. Orchestration ensures organizations automate and streamline their workflows, reduce errors and downtime, and improve the efficacy and scalability of their operations. 3. How Orchestrating Help Optimize VMs Efficiency? Orchestration offers enhanced visibility into the resources and processes in use, which helps prevent VM sprawl and helps organizations trace resource usage by department, business unit, or individual user. Fig. Global Market for VNFO by Virtualization Methodology 2022-27($ million) (Source: Insight Research) The above figure shows, VMs have established a solid legacy that will continue to be relevant in the near to mid-term future. These are 6 ways, in which Orchestration helps vin efficient management of VMs: 3.1. Resource Optimization Orchestrating helps optimize resource utilization by automating the provisioning and de-provisioning of VMs, which allows for efficient use of computing resources. By using orchestration tools, IT teams can set up rules and policies for automatically scaling VMs based on criteria such as CPU utilization, memory usage, network traffic, and application performance metrics. Orchestration also enables advanced techniques such as predictive analytics, machine learning, and artificial intelligence to optimize resource utilization. These technologies can analyze historical data and identify patterns in workload demand, allowing the orchestration system to predict future resource needs and automatically provision or de-provision resources accordingly 3.2. Dynamic Scaling Orchestrating helps automate scaling of VMs, enabling organizations to quickly and easily adjust their computing resources based on demand. It enables IT teams to configure scaling policies and regulations for virtual machines based on resource utilization and network traffic along with performance metrics. When the workload demand exceeds a certain threshold, the orchestration system can autonomously provision additional virtual machines to accommodate the increased load. When workload demand decreases, the orchestration system can deprovision VMs to free up resources and reduce costs. 3.3. Faster Deployment Orchestrating can help automate VM deployment of VMs, reducing the time and effort required to provision new resources. By leveraging advanced technologies such as automation, scripting, and APIs, orchestration can further streamline the VM deployment process. It allows IT teams to define workflows and processes that can be automated using scripts, reducing the time and effort required to deploy new resources. In addition, orchestration can integrate with other IT management tools and platforms, such as cloud management platforms, configuration management tools, and monitoring systems. This enables IT teams to leverage various capabilities and services to streamline the VM deployment and improve efficiency. 3.4. Improved Security Orchestrating can help enhance the security of VMs by automating the deployment of security patches and updates. It also helps ensure VMs are deployed with the appropriate security configurations and settings, reducing the risk of misconfiguration and vulnerability. It enables IT teams to define standard security templates and configurations for VMs, which can be automatically applied during deployment. Furthermore, orchestration can integrate with other security tools and platforms, such as intrusion detection systems and firewalls, to provide a comprehensive security solution. It allows IT teams to automate the deployment of security policies and rules, ensuring that workloads remain protected against various security threats. 3.5. Multi-Cloud Management Orchestration helps provide a single pane of glass for VM management, enabling IT teams to monitor and manage VMs across multiple cloud environments from a single platform. This simplifies management and reduces complexity, enabling IT teams to respond more quickly and effectively to changing business requirements. In addition, orchestration also helps to ensure consistency and compliance across multiple cloud environments. Moreover, orchestration can also integrate with other multi-cloud management tools and platforms, such as cloud brokers and cloud management platforms, to provide a comprehensive solution for managing VMs across multiple clouds. 3.6. Improved Collaboration Orchestration helps streamline collaboration by providing a centralized repository for storing and sharing information related to VMs. Moreover, it also automates many of the routine tasks associated with VM management, reducing the workload for IT teams and freeing up time for more complex tasks. This can improve collaboration by enabling IT teams to focus on more strategic initiatives. In addition, orchestration provides advanced analytics and reporting capabilities, enabling IT teams to track performance, identify bottlenecks, and optimize resource utilization. This improves performance by providing a data-driven approach to VM management and allowing IT teams to work collaboratively to identify and address performance issues. 4. Considerations while Orchestrating VMs 4.1. Together Hosting of Containers and VMs Containers and virtual machines exist together within a single infrastructure and are managed by the same platform. This allows for hosting various projects using a unified management point and the ability to adapt gradually based on current needs and opportunities. This provides greater flexibility for teams to host and administer applications using cutting-edge technologies and established standards and methods. Moreover, as there is no need to invest in distinct physical servers for virtual machines (VMs) and containers, this approach can be a great way to maximize infrastructure utilization, resulting in lower TCO and higher ROI. In addition, unified management drastically simplifies processes, requiring fewer human resources and less time. 4.2. Automated Backup and Restore for VMs --Minimize downtime and reduce risk of data loss Organizations should set up automated backup and restore processes for virtual machines, ensuring critical data and applications are protected during a disaster. This involves scheduling regular backups of virtual machines to a secondary location or cloud storage and setting up automated restore processes to recover virtual machines during an outage or disaster quickly. 4.3. Ensure Replication for VMs --Ensure data and applications are available and accessible in the event of a disaster Organizations should set up replication processes for their VMs, allowing them to be automatically copied to a secondary location or cloud infrastructure. This ensures that critical applications and data are available even during a catastrophic failure at the primary site. 4.4. Setup Data Synchronization for VMs --Improve overall resilience and availability of the system VM orchestration tools should be used to set up data synchronization processes between virtual machines, ensuring that data is consistent and up-to-date across multiple locations. This is particularly important in scenarios where data needs to be accessed quickly from various locations, such as in distributed environments. 5. Conclusion Orchestration provides disaster recovery and business continuity, automatic scalability of distributed systems, and inter-service configuration. Cloud orchestration is becoming significant due to the advent of containerization, which permits scaling applications across clouds, both public and private. We expect continued growth and innovation in the field of VM orchestration, with new technologies and tools emerging to support more efficient and effective management of virtual machines in distributed environments. In addition, as organizations increasingly rely on cloud-based infrastructures and distributed systems, VM orchestration will continue to play a vital role in enabling businesses to operate smoothly and recover quickly from disruptions. VM orchestration will remain a critical component of disaster recovery and high availability strategies for years as organizations continue relying on virtualization technologies to power their operations and drive innovation.

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Server Hypervisors

Managing Multi-Cloud Complexities for a Seamless Experience

Article | September 9, 2022

Introduction The early 2000s were milestone moments for the cloud. Amazon Web Services (AWS) entered the market in 2006, while Google revealed its first cloud service in 2007. Fast forward to 2020, when the pandemic boosted digital transformation efforts by around seven years (according to McKinsey), and the cloud has become a commercial necessity today. It not only facilitated the swift transition to remote work, but it also remains critical in maintaining company sustainability and creativity. Many can argue that the large-scale transition to the cloud in the 2010s was necessary to enable the digital-first experiences that remote workers and decentralized businesses need today. Multi-cloud and hybrid cloud setups are now the norm. According to Gartner, most businesses today use a multi-cloud approach to reduce vendor lock-in or to take advantage of more flexible, best-of-breed solutions. However, managing multi-cloud systems increases cloud complexity, and IT concerns, frequently slowing rather than accelerating innovation. According to 2022 research done by IntelligentCIO, the average multi-cloud system includes five platforms, including AWS, Microsoft Azure, Google Cloud, and IBM Red Hat, among others. Managing Multi-Cloud Complexities Like a Pro Your multi-cloud strategy should satisfy your company's requirements while also laying the groundwork for managing various cloud deployments. Creating a proactive plan for managing multi-cloud setups is one of the finest features that can distinguish your company. The five strategies for handling multi-cloud complexity are outlined below. Managing Data with AI and ML AI and machine learning can help manage enormous quantities of data in multi-cloud environments. AI simulates human decision-making and performs tasks as well as humans or even better at times. Machine learning is a type of artificial intelligence that learns from data, recognizes patterns, and makes decisions with minimum human interaction. AI and ML to help discover the most important data, reducing big data and multi-cloud complexity. AI and machine learning enable more simplicity and better data control. Integrated Management Structure Keeping up with the growing number of cloud services from several providers requires a unified management structure. Multiple cloud management requires IT time, resources, and technology to juggle and correlate infrastructure alternatives. Routinely monitor your cloud resources and service settings. It's important to manage apps, clouds, and people globally. Ensure you have the technology and infrastructure to handle several clouds. Developing Security Strategy Operating multiple clouds requires a security strategy and seamless integration of security capabilities. There's no single right answer since vendors have varied policies and cybersecurity methods. Storing data on many cloud deployments prevents data loss. Handling backups and safety copies of your data are crucial. Regularly examine your multi-cloud network's security. The cyber threat environment will vary as infrastructure and software do. Multi-cloud strategies must safeguard data and applications. Skillset Management Multi-cloud complexity requires skilled operators. Do you have the appropriate IT personnel to handle multi-cloud? If not, can you use managed or cloud services? These individuals or people are in charge of teaching the organization about how each cloud deployment helps the company accomplish its goals. This specialist ensures all cloud entities work properly by utilizing cloud technologies. Closing Lines Traditional cloud monitoring solutions are incapable of dealing with dynamic multi-cloud setups, but automated intelligence is the best at getting to the heart of cloud performance and security concerns. To begin with, businesses require end-to-end observability in order to see the overall picture. Add automation and causal AI to this capacity, and teams can obtain the accurate answers they require to better optimize their environments, freeing them up to concentrate on increasing innovation and generating better business results.

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VMware, Vsphere, Hyper-V

VM Applications for Software Development and Secure Testing

Article | May 2, 2023

Contents 1. Introduction 2. Software Development and Secure Testing 3. Using VMs in Software Development and Secure Testing 4. Conclusion 1. Introduction “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. 4. Conclusion 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.

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Server Virtualization

Boosting Productivity with Kubernetes and Docker

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. Contents 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 2.1 Production-Readiness 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. 2.2 Future-Readiness 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. 3.5 Platform9 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. 3.10 Spektra 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. 4. Conclusion 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.

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Spotlight

Pluribus Networks

Pluribus Networks software-defined, open networking, fabric and SDN solutions transform existing network infrastructures into flexible and strategic assets fully aligned with today’s digital business needs. Our Virtualization-Centric Fabric (VCF™) architecture provides unprecedented insight, agility and security to customers seeking to simplify operations, run more cost effectively and bring new applications online faster.

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Virtualized Environments

VeriSilicon Unveils the New VC9800 IP for Next Generation Data Centers

Business Wire | January 09, 2024

VeriSilicon today unveiled its latest VC9800 series Video Processor Unit (VPU) IP with enhanced video processing performance to strengthen its presence in the data center applications. The newly launched series IP caters to the advanced requirements of next generation data centers including video transcoding servers, AI servers, virtual cloud desktops, and cloud gaming. The VC9800 series of VPU IP boasts high performance, high throughput, and server-level multi-stream encoding and decoding capabilities. It can handle up to 256 streams and support all mainstream video formats, including the new advanced format VVC. Through Rapid Look Ahead encoding, the VC9800 series IP improves video quality significantly with low memory footprint and encoding latency. With capable of supporting 8K encoding and decoding, it offers enhanced video post-processing and multi-channel encoding at various resolutions, thus achieves an efficient transcoding solution. The VC9800 series of VPU IP can seamlessly interface with Neural Network Processor (NPU) IP, enabling a complete AI-video pipeline. When combined with VeriSilicon’s Graphics Processor Unit (GPU) IP, the subsystem solution is able to deliver enhanced gaming experiences. In addition, the hardware virtualization, super resolution image enhancement, and AI-enabled encoding functions of this series IP also offer effective solutions for virtual cloud desktops. “VeriSilicon’s advanced video transcoding technology continues leading in Data Center domain. We are working closely with global leading customers to develop comprehensive video processing subsystem solutions to meet the requirements of the latest Data Centers,” said Wei-Jin Dai, Executive VP and GM of IP Division of VeriSilicon. “For AI computing, our video post-processing capabilities have been extended to smoothly interact with NPUs, ensuring OpenCV-level accuracy. We’ve also introduced super resolution technology to the video processing subsystem, elevating image quality and ultimately enhancing user experiences for cloud computing and smart display.” About VeriSilicon VeriSilicon is committed to providing customers with platform-based, all-around, one-stop custom silicon services and semiconductor IP licensing services leveraging its in-house semiconductor IP.

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Backup and Disaster Recovery

Minimize the Cost and Downtime of Disaster With Scale Computing's Business Continuity/Disaster Recovery Planning Service

PR Newswire | October 25, 2023

Scale Computing, a market leader in edge computing, virtualization, and hyperconverged solutions, today announced its Business Continuity/Disaster Recovery (BCDR) Planning Service, designed to help organizations establish a comprehensive, regulated plan for responding to unforeseen downtime. The service provides Scale Computing customers and partners with the tools, guidance, and resources to create a playbook for data backup and recovery, enabling businesses to endure a disaster scenario with minimal loss. Scale Computing also recently announced that it is a finalist for the Business Continuity/Disaster Recovery Project of the Year in the 2023 SDC Awards for its work with Austrian managed service provider GiGaNet and its long-time partner the Zillertaler Gletscherbahn group. Voting for the SDC Awards is open at sdcawards.com/vote until November 10th, 2023. Data breaches are one of the biggest and most costly contributors to downtime for businesses. In 2023, the average cost of a data breach globally reached an all-time high of $4.45 million, a 15.3% increase from 2020. Simultaneously, the average length of business disruption following a ransomware attack in the United States reached 24 days last year, up 60% from just two years prior — a significant increase when downtime costs exceed $300,000 per hour for over 90% of mid-sized and large enterprises. For more than half of those businesses, the hourly outage costs range from $1 million to over $5 million. Recovery from an outage adds additional expense from which many enterprises are unable to bounce back. "Disaster can strike at any time, and every organization needs a consistently regulated playbook for how the business will respond — from action plans to recovery plans for bringing online the mission-critical servers businesses depend on," said Jeff Ready, CEO and co-founder, Scale Computing. "Knowing what systems need to be protected, planning for the ability to recover them, and having a full action plan for recovery should be at the forefront of every IT department's agenda, at the beginning of any infrastructure addition. With Scale Computing Platform, the plan for disaster recovery starts before equipment is even put into production, so IT leaders have a plan in place from day one that they can enact to ensure their business stays up and running, with minimal loss, should disaster strike. Our Business Continuity/Disaster Recovery Planning Service enables businesses to proactively classify systems based on their importance and implement a robust action plan, ensuring that our customers' and partners' critical systems are protected, validated, tested, and ready for recovery at any time." Whether a minor data loss or a business-wide shutdown, having a well-defined business continuity strategy is crucial to minimize financial impact, ensure continuous employee productivity, meet compliance and regulatory requirements, decrease liability obligations, reduce downtime, and minimize the risk of negative exposure. Scale Computing's BCDR Planning Service includes planning, deployment, documentation creation, and disaster recovery testing, covering every aspect to keep businesses prepared and resilient. The service is offered to Scale Computing Platform customers, which brings simplicity, high availability, and scalability together to replace existing infrastructure for running virtual machines with an easy-to-manage, fully integrated platform that allows organizations to run applications regardless of hardware requirements. About Scale Computing Scale Computing is a leader in edge computing, virtualization, and hyperconverged solutions. Using patented HyperCore™ technology, Scale Computing Platform automatically identifies, mitigates, and corrects infrastructure problems in real-time, enabling applications to achieve maximum uptime, even when local IT resources and staff are scarce. Edge Computing is the fastest-growing area of IT infrastructure, and industry analysts have named Scale Computing an outperformer and leader in the space, including being named the #1 edge computing vendor by CRN. Scale Computing's products are sold by thousands of value-added resellers, integrators, and service providers worldwide.

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Server Virtualization, VMware

StorMagic Introduces Edge Control Software to Simplify SvSAN Monitoring and Management

Business Wire | October 18, 2023

StorMagic®, solving the world’s edge data problems, today announced the immediate availability of a new Software as a Service (SaaS) tool that allows users to easily monitor and manage all of their SvSAN clusters around the world. StorMagic Edge Control simplifies the process and tools required for day-to-day SvSAN cluster administration. SvSAN customers with multiple locations can significantly reduce the time spent managing their edge sites, whether they are using VMware, Microsoft or KVM hypervisors. “ESG research shows increasing demand for data storage at the edge which fuels an increased need for monitoring solutions that can help address the complexity of storage at the edge,” said Scott Sinclair, practice director at Enterprise Strategy Group. “SvSAN customers can greatly benefit by adding StorMagic Edge Control into their toolkits; the dashboard views and list formats will make centralized data management much easier and more accessible.” Edge Control delivers centralized administration for SvSAN environments of all sizes. Customers can now manage all SvSAN deployments in any location from a single pane of glass. Dashboard and system views provide a fast but comprehensive status of all of their virtual storage appliances (VSAs), allowing them to keep their environment up-to-date more easily and react faster as needed. “StorMagic customers of any size can now manage their entire SvSAN estate, whether it’s one site or thousands of sites around the world,” said Bruce Kornfeld, chief marketing and product officer, StorMagic. “Edge Control is particularly interesting for customers who are considering switching from VMware to Microsoft or Linux KVM because SvSAN and Edge Control are both hypervisor agnostic.” Pricing and Availability Edge Control version 1.0 is available today from StorMagic. SvSAN customers can download and begin using the software immediately, free of charge. About StorMagic StorMagic is solving the world’s edge data problems. We help organizations store, protect and use data at and from the edge. StorMagic’s solutions ensure data is always protected and available, no matter the type or location, to provide value anytime, anywhere. StorMagic’s storage and security products are flexible, robust, easy to use and cost-effective, without sacrificing enterprise-class features, for organizations with one to thousands of sites.

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Virtualized Environments

VeriSilicon Unveils the New VC9800 IP for Next Generation Data Centers

Business Wire | January 09, 2024

VeriSilicon today unveiled its latest VC9800 series Video Processor Unit (VPU) IP with enhanced video processing performance to strengthen its presence in the data center applications. The newly launched series IP caters to the advanced requirements of next generation data centers including video transcoding servers, AI servers, virtual cloud desktops, and cloud gaming. The VC9800 series of VPU IP boasts high performance, high throughput, and server-level multi-stream encoding and decoding capabilities. It can handle up to 256 streams and support all mainstream video formats, including the new advanced format VVC. Through Rapid Look Ahead encoding, the VC9800 series IP improves video quality significantly with low memory footprint and encoding latency. With capable of supporting 8K encoding and decoding, it offers enhanced video post-processing and multi-channel encoding at various resolutions, thus achieves an efficient transcoding solution. The VC9800 series of VPU IP can seamlessly interface with Neural Network Processor (NPU) IP, enabling a complete AI-video pipeline. When combined with VeriSilicon’s Graphics Processor Unit (GPU) IP, the subsystem solution is able to deliver enhanced gaming experiences. In addition, the hardware virtualization, super resolution image enhancement, and AI-enabled encoding functions of this series IP also offer effective solutions for virtual cloud desktops. “VeriSilicon’s advanced video transcoding technology continues leading in Data Center domain. We are working closely with global leading customers to develop comprehensive video processing subsystem solutions to meet the requirements of the latest Data Centers,” said Wei-Jin Dai, Executive VP and GM of IP Division of VeriSilicon. “For AI computing, our video post-processing capabilities have been extended to smoothly interact with NPUs, ensuring OpenCV-level accuracy. We’ve also introduced super resolution technology to the video processing subsystem, elevating image quality and ultimately enhancing user experiences for cloud computing and smart display.” About VeriSilicon VeriSilicon is committed to providing customers with platform-based, all-around, one-stop custom silicon services and semiconductor IP licensing services leveraging its in-house semiconductor IP.

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Backup and Disaster Recovery

Minimize the Cost and Downtime of Disaster With Scale Computing's Business Continuity/Disaster Recovery Planning Service

PR Newswire | October 25, 2023

Scale Computing, a market leader in edge computing, virtualization, and hyperconverged solutions, today announced its Business Continuity/Disaster Recovery (BCDR) Planning Service, designed to help organizations establish a comprehensive, regulated plan for responding to unforeseen downtime. The service provides Scale Computing customers and partners with the tools, guidance, and resources to create a playbook for data backup and recovery, enabling businesses to endure a disaster scenario with minimal loss. Scale Computing also recently announced that it is a finalist for the Business Continuity/Disaster Recovery Project of the Year in the 2023 SDC Awards for its work with Austrian managed service provider GiGaNet and its long-time partner the Zillertaler Gletscherbahn group. Voting for the SDC Awards is open at sdcawards.com/vote until November 10th, 2023. Data breaches are one of the biggest and most costly contributors to downtime for businesses. In 2023, the average cost of a data breach globally reached an all-time high of $4.45 million, a 15.3% increase from 2020. Simultaneously, the average length of business disruption following a ransomware attack in the United States reached 24 days last year, up 60% from just two years prior — a significant increase when downtime costs exceed $300,000 per hour for over 90% of mid-sized and large enterprises. For more than half of those businesses, the hourly outage costs range from $1 million to over $5 million. Recovery from an outage adds additional expense from which many enterprises are unable to bounce back. "Disaster can strike at any time, and every organization needs a consistently regulated playbook for how the business will respond — from action plans to recovery plans for bringing online the mission-critical servers businesses depend on," said Jeff Ready, CEO and co-founder, Scale Computing. "Knowing what systems need to be protected, planning for the ability to recover them, and having a full action plan for recovery should be at the forefront of every IT department's agenda, at the beginning of any infrastructure addition. With Scale Computing Platform, the plan for disaster recovery starts before equipment is even put into production, so IT leaders have a plan in place from day one that they can enact to ensure their business stays up and running, with minimal loss, should disaster strike. Our Business Continuity/Disaster Recovery Planning Service enables businesses to proactively classify systems based on their importance and implement a robust action plan, ensuring that our customers' and partners' critical systems are protected, validated, tested, and ready for recovery at any time." Whether a minor data loss or a business-wide shutdown, having a well-defined business continuity strategy is crucial to minimize financial impact, ensure continuous employee productivity, meet compliance and regulatory requirements, decrease liability obligations, reduce downtime, and minimize the risk of negative exposure. Scale Computing's BCDR Planning Service includes planning, deployment, documentation creation, and disaster recovery testing, covering every aspect to keep businesses prepared and resilient. The service is offered to Scale Computing Platform customers, which brings simplicity, high availability, and scalability together to replace existing infrastructure for running virtual machines with an easy-to-manage, fully integrated platform that allows organizations to run applications regardless of hardware requirements. About Scale Computing Scale Computing is a leader in edge computing, virtualization, and hyperconverged solutions. Using patented HyperCore™ technology, Scale Computing Platform automatically identifies, mitigates, and corrects infrastructure problems in real-time, enabling applications to achieve maximum uptime, even when local IT resources and staff are scarce. Edge Computing is the fastest-growing area of IT infrastructure, and industry analysts have named Scale Computing an outperformer and leader in the space, including being named the #1 edge computing vendor by CRN. Scale Computing's products are sold by thousands of value-added resellers, integrators, and service providers worldwide.

Read More

Server Virtualization, VMware

StorMagic Introduces Edge Control Software to Simplify SvSAN Monitoring and Management

Business Wire | October 18, 2023

StorMagic®, solving the world’s edge data problems, today announced the immediate availability of a new Software as a Service (SaaS) tool that allows users to easily monitor and manage all of their SvSAN clusters around the world. StorMagic Edge Control simplifies the process and tools required for day-to-day SvSAN cluster administration. SvSAN customers with multiple locations can significantly reduce the time spent managing their edge sites, whether they are using VMware, Microsoft or KVM hypervisors. “ESG research shows increasing demand for data storage at the edge which fuels an increased need for monitoring solutions that can help address the complexity of storage at the edge,” said Scott Sinclair, practice director at Enterprise Strategy Group. “SvSAN customers can greatly benefit by adding StorMagic Edge Control into their toolkits; the dashboard views and list formats will make centralized data management much easier and more accessible.” Edge Control delivers centralized administration for SvSAN environments of all sizes. Customers can now manage all SvSAN deployments in any location from a single pane of glass. Dashboard and system views provide a fast but comprehensive status of all of their virtual storage appliances (VSAs), allowing them to keep their environment up-to-date more easily and react faster as needed. “StorMagic customers of any size can now manage their entire SvSAN estate, whether it’s one site or thousands of sites around the world,” said Bruce Kornfeld, chief marketing and product officer, StorMagic. “Edge Control is particularly interesting for customers who are considering switching from VMware to Microsoft or Linux KVM because SvSAN and Edge Control are both hypervisor agnostic.” Pricing and Availability Edge Control version 1.0 is available today from StorMagic. SvSAN customers can download and begin using the software immediately, free of charge. About StorMagic StorMagic is solving the world’s edge data problems. We help organizations store, protect and use data at and from the edge. StorMagic’s solutions ensure data is always protected and available, no matter the type or location, to provide value anytime, anywhere. StorMagic’s storage and security products are flexible, robust, easy to use and cost-effective, without sacrificing enterprise-class features, for organizations with one to thousands of sites.

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