Virtual Desktop Strategies
Article | July 26, 2022
Neglecting virtualization on VMs hampers productivity of firms. Operations become complex and resource usage is suboptimal. Leverage virtualization to empower with enhanced efficiency and scalability.
Contents
1. Introduction
2. Types of Virtualization on VMs
2.1 Server virtualization
2.2 Storage virtualization
2.3 Network virtualization
2.3.1 Software-defined networking
2.3.2 Network function virtualization
2.4 Data virtualization
2.5 Application virtualization
2.6 Desktop virtualization
3. Impact of Virtualized VMs on Business Enterprises
3.1 Virtualization as a Game-Changer for Business Models
3.2 Evaluating IT Infrastructure Reformation
3.3 Virtualization Impact on Business Agility
4. How can Businesses Scale ROI with Adoption of Virtualization in Virtual Machines?
5. Risks and Challenges of Virtual Machines in the Cloud
5.1 Resource Distribution:
5.2 VM Sprawl:
5.3 Backward Compatibility
5.4 Conditional Network Monitoring
5.5 Interoperability:
6. Overcoming Roadblocks: Best Practices for Successful Execution of VMs
6.1 Unlocking the Power of Resource Distribution:
6.2 Effective techniques for Avoiding VM Sprawl:
6.3 Backward Compatibility: A Comprehensive Solution:
6.4 Performance Metrics:
6.5 Solutions for Interoperability in a Connected World:
7. Five Leading Providers for Virtualization of VMs
Parallels
Aryaka
Aryaka
Liquidware
Azul
8. Conclusion
1. Introduction
Virtualization on virtual machines (VMs) is a technology that enables multiple operating systems and applications to run on a single physical server or host. It has become essential to modern IT infrastructures, allowing businesses to optimize resource utilization, increase flexibility, and reduce costs. Embracing virtualization on VMs offers many business benefits, including improved disaster recovery, increased efficiency, enhanced security, and better scalability. In this digital age, where businesses rely heavily on technology to operate and compete, virtualization on VMs has become a crucial strategy for staying competitive and achieving business success. Organizations need to be agile and responsive to changing customer demands and market trends. Rather than focusing on consolidating resources, the emphasis now lies on streamlining operations, maximizing productivity, and optimizing convenience.
2. Types of Virtualization on VMs
2.1 Server virtualization
The server virtualization process involves dividing a physical server into several virtual servers. This allows organizations to consolidate multiple physical servers onto a single physical server, which leads to cost savings, improved efficiency, and easier management. Server virtualization is one of the most common types of virtualization used on VMs. Consistent stability/reliability is the most critical product attributes IT decision-makers look for when evaluating server virtualization solutions. Other important factors include robust disaster recovery capabilities and advanced security features. Server Virtualization Market was valued at USD 5.7 Billion in 2018 and is projected to reach USD 9.04 Billion by 2026, growing at a CAGR of 5.9% from 2019 to 2026. (Source: Verified Market Research)
2.2 Storage virtualization
Combining multiple network storage devices into an integrated virtual storage device, storage virtualization facilitates a cohesive and efficient approach to data management within a data center. IT administrators can allocate and manage the virtual storage unit with the help of management software, which facilitates streamlined storage tasks like backup, archiving, and recovery. There are three types of storage virtualization: file-level, block-level, and object-level. File-level consolidates multiple file systems into one virtualized system for easier management. Block-level abstracts physical storage into logical volumes allocated to VMs. Object-level creates a logical storage pool for more flexible and scalable storage services to VMs. The storage virtualization segment held an industry share of more than 10.5% in 2021 and is likely to observe considerable expansion through 2030 (Source: Global Market Insights)
2.3 Network virtualization
Any computer network has hardware elements such as switches, routers, load balancers and firewalls. With network virtualization, virtual machines can communicate with each other across virtual networks, even if they are on different physical hosts. Network virtualization can also enable the creation of isolated virtual networks, which can be helpful for security purposes or for creating test environments. The following are two approaches to network virtualization:
2.3.1 Software-defined networking
Software-defined networking (SDN) controls traffic routing by taking over routing management from data routing in the physical environment. For example, programming the system to prioritize video call traffic over application traffic to ensure consistent call quality in all online meetings.
2.3.2 Network function virtualization
Network function virtualization technology combines the functions of network appliances, such as firewalls, load balancers, and traffic analyzers, that work together to improve network performance. The global Network function virtualization market size was valued at USD 12.9 billion in 2019 and is projected to reach USD 36.3 billion by 2024, at a CAGR of 22.9%, during the forecast period(2019-2024). (Source: MarketsandMarkets)
2.4 Data virtualization
Data virtualization is the process of abstracting, organizing, and presenting data in a unified view that applications and users can access without regard to the data's physical location or format. Using virtualization techniques, data virtualization platforms can create a logical data layer that provides a single access point to multiple data sources, whether on-premises or in the cloud. This logical data layer is then presented to users as a single, virtual database, making it easier for applications and users to access and work with data from multiple sources and support cross-functional data analysis. Data Virtualization Market size was valued at USD 2.37 Billion in 2021 and is projected to reach USD 13.53 Billion by 2030, growing at a CAGR of 20.2% from 2023 to 2030. (Source: Verified Market Research)
2.5 Application virtualization
In this approach, the applications are separated from the underlying hardware and operating system and encapsulated in a virtual environment, which can run on any compatible hardware and operating system. With application virtualization, the application is installed and configured on a virtual machine, which can then be replicated and distributed to multiple end-users. For example, users can run a Microsoft Windows application on a Linux machine without changing the machine configuration. According to a report, the global application virtualization market size is predicted to grow from USD 2.2 billion in 2020 to USD 4.4 billion by 2025, at a CAGR of 14.7% during the period of 2020-2025. (Source: MarketsandMarkets)
2.6 Desktop virtualization
In desktop virtualization, a single physical machine can host multiple virtual machines, each with its own operating system and desktop environment. Users can access these virtual desktops remotely through a network connection, allowing them to work from anywhere and on any device. Desktop virtualization is commonly used in enterprise settings to provide employees with a secure and flexible way to access their work environment. The desktop virtualization market is anticipated to register a CAGR of 10.6% over the forecast period (2018-28). (Source: Mordor Intelligence)
3. Impact of Virtualized VMs on Business Enterprises
Virtualization can increase the adaptability of business processes. The servers can support different operating systems (OS) and applications as the software is decoupled from the hardware. Business processes can be run on virtual computers, with each virtual machine running its own OS, applications, softwares and set of programs.
3.1 Virtualization as a Game-Changer for Business Models
The one server, one application model can be abolished using virtualization, which was inefficient because most servers were underutilized. Instead, one server can become many virtual machines using virtualization software, each running on a different operating system such as Windows, Linux, or Apache. Virtualization has made it possible for companies to fit more virtual servers onto fewer physical devices, saving them space, power, and time spent managing them. The adoption of virtualization services is significantly increased by industrial automation systems. Industrial automation suppliers offer new-generation devices to virtualize VMs and software-driven industrial automation operations. This will solve problems with important automation equipment like Programmable Logic Controller (PLCs) and Distributed Control Systems (DCS), leading to more virtualized goods and services in industrial automation processes.
3.2 Evaluating IT Infrastructure Reformation
IT infrastructure evaluation for virtualization needs to look at existing systems and processes along with finding opportunities and shortcomings. Cloud computing, mobile workforces, and app compatibility cause this growth. Over the last decade, these areas have shifted from conventional to virtual infrastructure. • Capacity on Demand: It is a concept that refers to the ability to quickly and easily deploy virtual servers, either on-premise or through a hosting provider. This is made possible through the use of virtualization technologies. These technologies allow businesses to create multiple virtual instances of servers that can be easily scaled up or down as per the requirement, providing businesses with access to IT capacity on demand. • Disaster Recovery (DR): DR is a critical consideration in evaluating IT infrastructure reformation for virtualization. Virtualization technology enables businesses to create virtual instances of servers that run multiple applications, which eliminates the need for robust DR solutions that can be expensive and time-consuming to implement. As a result, businesses can save costs by leveraging the virtual infrastructure for DR purposes. • Consumerization of IT: The consumerization of IT refers to the increasing trend of employees using personal devices and applications in their work environments. This has resulted in a need for businesses to ensure that their IT infrastructure can support a diverse range of devices and applications. Virtual machines enable businesses to create virtual desktop environments that can be accessed from any device with an internet connection, thereby providing employees with a consistent and secure work environment regardless of their device.
3.3 Virtualization Impact on Business Agility
Virtualization has emerged as a valuable tool for enhancing business agility by allowing firms to respond quickly, efficiently, and cost-effectively to market changes. By enabling rapid installation and migration of applications and services across systems, the migration to the virtualized systems has allowed companies to achieve significant operational flexibility, responsiveness, and scalability gains. According to a poll conducted by Tech Target, 66% of the firms have reported an increase in agility due to virtualization adoption. This trend is expected to rise, driven by growing demand for cost-effective and efficient IT solutions across various industries. In line with this, a comprehensive analysis has projected that the market for virtualization software was estimated to be worth USD 45.51 billion in 2021. It is anticipated to grow to USD 223.35 billion by 2029, with a CAGR of 22.00% predicted for the forecast period of 2022–2029, including application, network, and hardware virtualization. (Source: Data Bridge) This is primarily attributed to the growing need for businesses to improve their agility and competitiveness by leveraging advanced virtualization technologies and solutions for applications and servers.
4. How can Businesses Scale ROI with Adoption of Virtualization in Virtual Machines?
Businesses looking to boost their ROI have gradually shifted to Virtualizing VMs, in the past years. According to a recent study, VM virtualization helps businesses reduce their hardware and maintenance costs by up to 50%, significantly impacting their bottom line. Server consolidation helps reduce hardware costs and improve resource utilization, as businesses allocate resources, operating systems, and applications dynamically based on workload demand. Utilizing application virtualization, in particular, can assist businesses in optimizing resource utilization by as much as 80%. Software-defined Networking (SDN) allows new devices, some with previously unsupported operating systems, to be more easily incorporated into an enterprise’s IT environment. The telecom industry can greatly benefit from the emergence of Network Functions Virtualization (NFV), SDN, and Network Virtualization, as these technologies provide significant advantages. The NFV idea virtualizes and effectively joins service provider network elements on multi-tenant industry-standard servers, switches, and storage. To leverage the benefits of NFV, telecom service providers have heavily invested in NFV services. By deploying NFV and application virtualization together, organizations can create a more flexible and scalable IT infrastructure that responds to changing business needs more effectively.
5. Risks and Challenges of Virtual Machines in the Cloud
5.1 Resource Distribution:
Resource availability is crucial when running applications in a virtual machine, as it leads to increased resource consumption. The resource distribution in VMs is typically managed by a hypervisor or virtual machine manager responsible for allocating resources to the VMs based on their specific requirements. A study found that poor resource management can lead to overprovisioning, increasing cloud costs by up to 70%. (Source: Gartner)
5.2 VM Sprawl:
82% of companies experienced VM sprawl, with the average organization having 115% more VMs than they need, as per a survey. (Source: Veeam) VM sprawl can occur in virtualization when an excessive proliferation of virtual machines is not effectively managed or utilized, leading to many underutilized or inactive VMs. This can lead to increased resource consumption, higher costs, and reduced performance.
5.3 Backward Compatibility:
Backward compatibility can be particularly challenging in virtualized systems, where applications may run on multiple operating systems than they were designed for. A recent study showed that 87% of enterprises have encountered software compatibility issues during their migration to the cloud for app virtualization. (Source: Flexera)
5.4 Conditional Network Monitoring:
A study found that misconfigurations, hardware problems, and human error account for over 60% of network outages. (Source: SolarWinds) Network monitoring tools can help organizations monitor virtual network traffic and identify potential network issues affecting application performance in VMs. These tools also provide visibility into network traffic patterns, enabling IT teams to identify areas for optimization and improvement.
5.5 Interoperability:
Interoperability issues are common when implementing cloud-based virtualization when integrating the virtualized environment with other on-premises or cloud-based systems. According to a report, around 50% of virtualization projects encounter interoperability issues that require extensive troubleshooting and debugging. (Source: Gartner)
6. Overcoming Roadblocks: Best Practices for Successful Execution of VMs
6.1 Unlocking the Power of Resource Distribution:
By breaking up large, monolithic applications into smaller, more manageable components, virtualizing allows organizations to distribute resources effectively, enabling its users with varying needs to utilize the resources with optimum efficiency. With prioritizing resource distribution, resources such as CPU, memory, and storage can be dynamically allocated to virtual machines as needed. Businesses must frequently monitor and evaluate resource utilization data to better resource allocation and management.
6.2 Effective techniques for Avoiding VM Sprawl:
VM sprawl can be addressed through a variety of techniques, including VM lifecycle management, automated provisioning, and regular audits of virtual machine usage. Tools such as virtualization management software, cloud management platforms, and monitoring tools can help organizations gain better visibility and control over their virtual infrastructure. Monitoring applications and workload requirements as well as establishing policies and procedures for virtual machine provisioning & decommissioning are crucial for businesses to avoid VM sprawl.
6.3 Backward Compatibility: A Comprehensive Solution:
One of the solutions to backward compatibility challenges is to use virtualization technologies, such as containers or hypervisors, that allow older applications to run on newer hardware and software. Another solution is to use compatibility testing tools that can identify potential compatibility issues before they become problems. To ensure that virtual machines can run on different hypervisors or cloud platforms, businesses can implement standardized virtualization architectures that support a wide range of hardware and software configurations.
6.4 Performance Metrics:
Businesses employing cloud-based virtualization must have reliable network monitoring in order to guarantee the best possible performance of their virtual workloads and to promptly detect and resolve any problems that may affect the performance. Businesses can improve their customers' experience in VMs by implementing a network monitoring solution that helps them locate slow spots, boost speed, and avoid interruptions.
6.5 Solutions for Interoperability in a Connected World:
Standardized communication protocols and APIs help cloud-based virtualization setups to interoperate. Integrating middleware like enterprise service buses (ESBs) can consolidate system and application management. In addition, businesses can use cloud-native tools and services like Kubernetes for container orchestration or cloud-native databases for interoperability in virtual machines.
7. Five Leading Providers for Virtualization of VMs
Aryaka
Aryaka is a pioneer of a cloud-first architecture for the delivery of SD-WAN and, more recently, SASE. Using their proprietary, integrated technology and services, they ensure safe connectivity for businesses. They are named a Gartner ‘Voice of the Customer leader’ for simplifying the adoption of network and network security solutions with organization standards for shifting from legacy IT infrastructure to various modern deployments.
Gigamon
Gigamon provides a comprehensive network observability solution that enhances observability tools' capabilities. The solution helps IT organizations ensure security and compliance governance, accelerate the root-cause analysis of performance issues, and reduce the operational overhead of managing complex hybrid and multi-cloud IT infrastructures. Gigamon's solution offers a deep observability pipeline that harnesses actionable network-level intelligence to amplify the power of observability tools.
Liquidware
Liquidware is a software company that offers desktop and application virtualization solutions. Their services include user environment management, application layering, desktop virtualization, monitoring and analytics, and migration services. Using these services, businesses can improve user productivity, reduce complexity in managing applications, lower hardware costs, troubleshoot issues quickly, and migrate to virtualized environments efficiently.
Azul
Azul offers businesses Java runtime solutions. Azul Platform Prime is a cloud-based Java runtime platform that provides enhanced performance, scalability, and security. Azul provides 24/7 technical support and upgrades for Java applications. Their services improve Java application performance, dependability, and security for enterprises. Azul also provides Java application development and deployment training and consultancy.
8. Conclusion
Virtualization of VMs in businesses boosts their ROI significantly. The integration of virtualization with DevOps practices could allow for more streamlined application delivery and deployment, with greater automation and continuous integration, thus achieving greater success in current competitive business landscape. We expect to see more advancements in developing new hypervisors and management tools in the coming years. Additionally, there will likely be an increased focus on security and data protection in virtualized environments, as well as greater integration with other emerging technologies like containerization and edge computing. Virtualization is set to transform the business landscape in future by facilitating the effective and safe deployment and management of applications as technology advances and new trends emerge. The future of virtualization looks promising as it continues to adapt to and revolutionize the changing needs of organizations, streamlining their operations, reducing carbon footprint, and improving overall sustainability. As such, virtualization will continue to be a crucial technology for businesses seeking to thrive in the digital age.
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Virtual Desktop Strategies, Server Hypervisors
Article | April 27, 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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Virtual Desktop Tools, Server Hypervisors
Article | April 28, 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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Virtual Desktop Tools
Article | August 12, 2022
The emergence of the notion of virtualization in today's digital world has turned the tables. It has assisted the sector in increasing production and making every activity easy and effective. One of the most remarkable innovations is the virtualization of applications, which allows users to access and utilize applications even if they are not installed on the system on which they are working. As a result, the cost of obtaining software and installing it on specific devices is reduced.
Application virtualization is a technique that separates an application from the operating system on which it runs. It provides access to a program without requiring it to be installed on the target device.
The program functions and interacts with the user as if it were native to the device. The program window can be resized, moved, or minimized, and the user can utilize normal keyboard and mouse movements. There might be minor differences from time to time, but the user gets a seamless experience.
Let’s have a look at the ways in which application virtualization helps businesses.
The Impact of Application Virtualization
• Remote-Safe Approach
Application virtualization enables remote access to essential programs from any end device in a safe and secure manner. With remote work culture developing as an increasingly successful global work paradigm, the majority of businesses have adapted to remote work-from-home practice.
This state-of-the-art technology is the best option for remote working environments because it combines security and convenience of access.
• Expenditure Limitations
If you have a large end-user base that is always growing, acquiring and operating separate expensive devices for each individual user would definitely exhaust your budget.
In such situations, virtualization will undoubtedly come in handy because it has the potential to offer all necessary applications to any target device.
• Rolling Out Cloud Applications
Application virtualization can aid in the development and execution of a sophisticated and controlled strategy to manage and assure a seamless cloud transition of an application that is presently used as an on-premise version in portions of the same enterprise. In such cases, it is vital to guarantee that the application continues to work properly while being rolled out to cloud locations.
You can assure maximum continuity and little impact on your end customers by adopting a cutting-edge virtualization platform. These platforms will help to ensure that both the on-premise and cloud versions of the application are delivered smoothly to diverse groups sitting inside the same workspace.
• Implementation of In-House Applications
Another prominent case in which virtualization might be beneficial is the deployment and execution of in-house applications. Developers often update such programs on a regular basis. Application virtualization enables extensive remote updates, installation, and distribution of critical software. As a result, this technology is crucial for enterprises that build and employ in-house applications.
Closing Lines
There is no doubt about the efficiency and advantages of application virtualization. You do not need to be concerned with installing the programs on your system. Moreover, you do not need to maintain the minimum requirements for running such programs since they will operate on the hosted server, giving you the impression that the application is operating on your system. There will be no performance concerns when the program runs. There will not be any overload on your system, and you will not encounter any compatibility issues as a result of your system's underlying operating system.
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