Efficient Management of Virtual Machines using Orchestration

Server Hypervisors

Article | September 9, 2022

Analyzing risks and implementing advanced mitigation strategies: Safeguard critical data, fortify defenses, and stay ahead of emerging threats in the dynamic realm of virtual machines in cloud. Contents 1. Introduction 2. 10 Security Risks Associated with Virtual Machines in Cloud Computing 3. Best Practices to Avoid Security Compromise 4. Conclusion 1. Introduction Cloud computing has revolutionized the way businesses operate by providing flexible, scalable, and cost-effective infrastructure for running applications and services. Virtual machines (VMs) are a key component of cloud computing, allowing multiple virtual machines to run on a single physical machine. However, the use of virtual machines in cloud computing introduces new security risks that need to be addressed to ensure the confidentiality, integrity, and availability of data and services. Effective VM security in the cloud requires a comprehensive approach that involves cloud providers and users working together to identify and address potential virtual machine security threats. By implementing these best practices and maintaining a focus on security, cloud computing can provide a secure and reliable platform for businesses to run their applications and services. 2. 10 Security Risks Associated with Virtual Machines in Cloud Computing Denial of Service (DoS) attacks: These are attacks that aim to disrupt the availability of a VM or the entire cloud infrastructure by overwhelming the system with traffic or resource requests. Insecure APIs: Cloud providers often expose APIs that allow users to manage their VMs. If these APIs are not properly secured, attackers can exploit them to gain unauthorized access to VMs or manipulate their configurations. Data leakage: Virtual machines can store sensitive data such as customer information or intellectual property. If not secured, this data can be exposed to unauthorized access or leakage. Shared resources: VMs in cloud environments often share physical resources such as memory, CPU, and network interfaces. If these resources are not isolated, a compromised VM can potentially affect the security and performance of other VMs running on the same physical host. Lack of visibility: Virtual machines in cloud environments can be more difficult to monitor than physical machines. This can make it harder to detect security incidents or anomalous behavior. Insufficient logging and auditing: If cloud providers do not implement appropriate logging and auditing mechanisms, it can be difficult to determine the cause and scope of a security incident. VM escape: This is when an attacker gains access to the hypervisor layer and then escapes into the host operating system or other VMs running on the same physical host. Side-channel attacks: This is when an attacker exploits the physical characteristics of the hardware to gain unauthorized access to a VM. Examples of side-channel attacks include timing attacks, power analysis attacks, and electromagnetic attacks. Malware attacks: VMs can be infected with malware, just like physical machines. Malware can be used to steal data, launch attacks on other VMs or systems, or disrupt the functioning of the VM. Insider threats: Malicious insiders can exploit their access to VMs to steal data, modify configurations, or launch attacks. 3. Best Practices to Avoid Security Compromise To mitigate these risks, there are several virtual machine security guidelines that cloud service providers and users can follow: Keep software up-to-date: Regularly updating software and security patches for virtual machines is crucial in preventing known vulnerabilities from being exploited by hackers. Software updates fix bugs and security flaws that could allow unauthorized access, data breaches, or malware attacks. According to a study, 60% of data breaches are caused by vulnerabilities that were not patched or updated in a timely manner.(Source: Ponemon Institute) Use secure hypervisors: A hypervisor is a software layer that enables multiple virtual machines to run on a single physical server. Secure hypervisors are designed to prevent unauthorized access to virtual machines and protect them from potential security threats. When choosing a hypervisor, it is important to select one that has undergone rigorous testing and meets industry standards for security. In 2018, a group of researchers discovered a new type of attack called "Foreshadow" (also known as L1 Terminal Fault). The attack exploits vulnerabilities in Intel processors and can be used to steal sensitive data from virtual machines running on the same physical host. Secure hypervisors that have implemented hardware-based security features can provide protection against Foreshadow and similar attacks. (Source: Foreshadow) Implement strong access controls: Access control is the practice of restricting access to virtual machines to authorized users. Multi-factor authentication adds an extra layer of security by requiring users to provide more than one type of authentication method before accessing VMs. Strong access controls limit the risk of unauthorized access and can help prevent data breaches. According to a survey, organizations that implemented multi-factor authentication saw a 98% reduction in the risk of phishing-related account breaches. (Source: Duo Security) Monitor VMs for anomalous behavior: Monitoring virtual machines for unusual or unexpected behavior is an essential security practice. This includes monitoring network traffic, processes running on the VM, and other metrics that can help detect potential security incidents. By monitoring VMs, security teams can detect and respond to security threats before they can cause damage. A study found that 90% of organizations that implemented a virtualized environment experienced security benefits, such as improved visibility into security threats and faster incident response times. (Source: VMware) Use Encryption: Encryption is the process of encoding information in such a way that only authorized parties can access it. Encrypting data both in transit and at rest protects it from interception or theft by hackers. This can be achieved using industry-standard encryption protocols and technologies. According to a report by, the average cost of a data breach in 2020 was $3.86 million. The report also found that organizations that implemented encryption had a lower average cost of a data breach compared to those that did not (Source: IBM) Segregate VMs: Segregating virtual machines is the practice of keeping sensitive VMs separate from less sensitive ones. This reduces the risk of lateral movement, which is when a hacker gains access to one VM and uses it as a stepping stone to gain access to other VMs in the same environment. Segregating VMs helps to minimize the risk of data breaches and limit the potential impact of a security incident. A study found that organizations that implemented a virtualized environment without adequate segregation and access controls were more vulnerable to VM security breaches and data loss. (Source: Ponemon Institute) Regularly Back-up VMs: Regularly backing up virtual machines is a critical security practice that can help mitigate the impact of malware attacks, system failures, or other security incidents. Backups should be stored securely and tested regularly to ensure that they can be restored quickly in the event of a security incident. A survey conducted found that 42% of organizations experienced a data loss event in 2020 with the most common cause being accidental deletion by an employee (29%). (Source: Veeam) 4. Conclusion The complexity of cloud environments and the shared responsibility model for security require organizations to adopt a comprehensive security approach that spans multiple infrastructure layers, from the physical to the application layer. The future of virtual machine security concern in cloud computing will require continued innovation and adaptation to new threats and vulnerabilities. As a result, organizations must remain vigilant and proactive in their security efforts, leveraging the latest technologies and best practices to protect their virtual machines, the sensitive data and resources they contain.

VMware, Vsphere, Hyper-V

Article | May 2, 2023

Introduction With cloud computing on the path to becoming the mother of all transformations, particularly in IT's ways of development and operations, we are once again confronted with the problem of conversion errors, this time a hundredfold higher than previous moves to dispersed computing and the web. While the issue is evident, the remedies are not so obvious. Cloud complexity is the outcome of the fast acceleration of cloud migration and net-new innovation without consideration of the complexity this introduces in operations. Almost all businesses are already working in a multi-cloud or hybrid-cloud environment. According to an IDC report, 93% of enterprises utilize multiple clouds. The decision could have stemmed from a desire to save money and avoid vendor lock-in, increase resilience, or businesses might have found themselves with several clouds as a result of the compounding activities of different teams. When it comes to strategic technology choices, relatively few businesses begin by asking, "How can we secure and control our technology?" Must-Follow Methods for Multi-Cloud and Hybrid Cloud Success Data Analysis at Any Size, from Any Source: To proactively recognize, warn, and guide investigations, teams should be able to utilize all data throughout the cloud and on-premises. Insights in Real-Time: Considering the temporary nature of containerized operations and functions as a service, businesses cannot wait minutes to determine whether they are experiencing infrastructure difficulties. Only a scalable streaming architecture can ingest, analyze, and alert rapidly enough to discover and investigate problems before they have a major impact on consumers. Analytics That Enables Teams to Act: Because multi-cloud and hybrid-cloud strategies do not belong in a single team, businesses must be able to evaluate data inside and across teams in order to make decisions and take action swiftly. How Can VMware Help in Solving Multi-Cloud and Hybrid-Cloud Complexity? VMware made several announcements indicating a new strategy focused on modern applications. Their approach focuses on two VMware products: vSphere with Kubernetes and Tanzu. Since then, much has been said about VMware's modern app approach, and several products have launched. Let's focus on VMware Tanzu. VMware Tanzu Tanzu is a product that enables organizations to upgrade both their apps and the infrastructure that supports them. In the same way that VMware wants vRealize to be known for cloud management and automation, Tanzu wants to be known for modern business applications. Tanzu uses Kubernetes to build and manage modern applications. In Tanzu, there is just one development environment and one deployment process. VMware Tanzu is compatible with both private and public cloud infrastructures. Closing Lines The important point is that the Tanzu portfolio offers a great deal of flexibility in terms of where applications operate and how they are controlled. We observe an increase in demand for operating an application on any cloud, and how VMware Tanzu assists us in streamlining the multi-cloud operation for MLOps pipeline. Apart from multi-cloud operation, it is critical to monitor and alarm each component throughout the MLOps lifecycle, from Kubernetes pods and inference services to data and model performance.

Server Virtualization

Article | May 17, 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.

Article | April 14, 2021

Danny Cobb, fellow and vice president of engineering for Dell Technologies’ telco systems business, remembers his company cruising into early 2020: Kicking off a new fiscal year with its operating plan in place, supply chain nailed down and factories humming; people coming into the office each day to the usual routine of looking for parking spots and taking laptops down to the cafeteria. Then came March, and the first wave of the Covid-19 pandemic hit U.S. shores. In the course of one weekend, Dell pivoted to having more than 90% of its workforce working from home. That meant a dramatic shift in its network needs and operations – one that was only able to be accomplished so quickly because of virtualized infrastructure.