ProtonVPN iOS app now supports the OpenVPN protocol

Virtual Desktop Tools, Server Hypervisors

Article | June 8, 2023

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.

Server Hypervisors

Article | September 9, 2022

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.

Virtual Desktop Tools

Article | August 12, 2022

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.

Article | April 17, 2020

Researchers have published the details of an investigation into CVE-2020-3952, a major vulnerability in VMware's vCenter that was disclosed and patched on April 9. The flaw was given a CVSS score of 10. CVE-2020-3952 exists in VMware's Directory Service (vmdir), which is a part of VMware vCenter Server, a centralized management platform for virtualized hosts and virtual machines. Through vCenter Server, the company says, an administrator can manage hundreds of workloads. The platform uses single sign-on (SSO), which includes vmdir, Security Token Service, an administration server, and the vCenter Lookup Service. Vmdir is also used for certificate management for the workloads vCenter handles.