Application Storage, Data Storage
Article | July 12, 2023
Adopting DevOps and CD in IaaS environments is a strategic imperative for organizations seeking to achieve agility, competitiveness, and customer satisfaction in their software delivery processes.
Contents
1. Introduction
2. What is IaaS Virtualization?
3. Virtualization Techniques for DevOps and Continuous Delivery
4. Integration of IaaS with CI/CD Pipelines
5. Considerations in IaaS Virtualized Environments
5.1. CPU Swap Wait
5.2. CPU System/Wait Time for VKernel:
5.3. Memory Balloon
5.4.Memory Swap Rate:
5.5. Memory Usage:
5.6. Disk/Network Latency:
6. Industry tips for IaaS Virtualization Implementation
6.1. Infrastructure Testing
6.2. ApplicationTesting
6.3. Security Monitoring
6.4. Performance Monitoring
6.5. Cost Optimization
7. Conclusion
1. Introduction
Infrastructure as a Service (IaaS) virtualization presents significant advantages for organizations seeking to enhance their agility, flexibility, and speed to market within the DevOps and continuous delivery frameworks. Addressing the associated risks and challenges is crucial and can be achieved by employing the appropriate monitoring and testing techniques, enlisted further, in this blog.
IaaS virtualization allows organizations to provision and de-provision resources as needed, eliminating the need for long-term investments in hardware and data centers. Furthermore, IaaS virtualization offers the ability to operate with multiple operating systems, databases, and programming languages, empowering teams to select the tools and technologies that best suit their requirements.
However, organizations must implement comprehensive testing and monitoring strategies, ensure proper security and compliance controls, and adopt the best resource optimization and management practices to leverage the full potential of virtualized IaaS. To achieve high availability and fault tolerance along with advanced networking, enabling complex application architectures in IaaS virtualization, the blog mentions five industry tips.
2. What is IaaS Virtualization?
IaaS virtualization involves simultaneously running multiple operating systems with different configurations. To run virtual machines on a system, a software layer known as the virtual machine monitor (VMM) or hypervisor is required.
Virtualization in IaaS handles website hosting, application development and testing, disaster recovery, and data storage and backup. Startups and small businesses with limited IT resources and budgets can benefit greatly from virtualized IaaS, enabling them to provide the necessary infrastructure resources quickly and without significant capital expenditures.
Virtualized IaaS is a potent tool for businesses and organizations of all sizes, enabling greater infrastructure resource flexibility, scalability, and efficiency.
3. Virtualization Techniques for DevOps and Continuous Delivery
Virtualization is a vital part of the DevOps software stack. Virtualization in DevOps process allows teams to create, test, and implement code in simulated environments without wasting valuable computing resources. DevOps teams can use the virtual services for thorough testing, preventing bottlenecks that could slow down release time. It heavily relies on virtualization for building intricate cloud, API, and SOA systems. In addition, virtual machines benefit test-driven development (TDD) teams that prefer to begin their troubleshooting at the API level.
4. Integration of IaaS with CI/CD Pipelines
Continuous integration is a coding practice that frequently implements small code changes and checks them into a version control repository. This process not only packages software and database components but also automatically executes unit tests and other tests to provide developers with vital feedback on any potential breakages caused by code changes.
Continuous testing integrates automated tests into the CI/CD pipeline. For example, unit and functionality tests identify issues during continuous integration, while performance and security tests are executed after a build is delivered in continuous delivery. Continuous delivery is the process of automating the deployment of applications to one or more delivery environments.
IaaS provides access to computing resources through a virtual server instance, which replicates the capabilities of an on-premise data center. It also offers various services, including server space, security, load balancing, and additional bandwidth. In modern software development and deployment, it's common to integrate IaaS with CI/CD pipelines. This helps automate the creation and management of infrastructure using infrastructure-as-code (IAC) tools. Templates can be created to provision resources on the IaaS platform, ensuring consistency and meeting software requirements. Additionally, containerization technologies like Docker and Kubernetes can deploy applications on IaaS platforms.
5. Considerations in IaaS Virtualized Environments
5.1. CPU Swap Wait
The CPU swap wait is when the virtual system waits while the hypervisor swaps parts of the VM memory back in from the disk. This happens when the hypervisor needs to swap, which can be due to a lack of balloon drivers or a memory shortage. This can affect the application's response time. One can install the balloon driver and/or reduce the number of VMs on the physical machine to resolve this issue.
5.2. CPU System/Wait Time for VKernel
Virtualization systems often report CPU or wait time for the virtualization kernel used by each virtual machine to measure CPU resource overhead. While this metric can't be directly linked to response time, it can impact both ready and swap times if it increases significantly. If this occurs, it could indicate that the system is either misconfigured or overloaded, and reducing the number of VMs on the machine may be necessary.
5.3. Memory Balloon
Memory ballooning is a memory management technique used in virtualized IaaS environments. It works by injecting a software balloon into the VM's memory space. The balloon is designed to consume memory within the VM, causing it to request more memory from the hypervisor. As a result, if the host system is experiencing low memory, it will take memory from its virtual infrastructures, thus negatively affecting the guest's performance, causing swapping, reduced file-system buffers, and smaller system caches.
5.4. Memory Swap Rate
Memory swap rate is a performance metric used in virtualized IaaS environments to measure the amount of memory being swapped to disk. When the swap rate is high, it leads to longer CPU swap times and negatively affects application performance. In addition, when a VM is running, it may require more memory than is physically available on the server. In such cases, the hypervisor may use disk space as a temporary storage area for excess memory. Therefore, to optimize, it is important to ensure that VMs have sufficient memory resources allocated.
5.5. Memory Usage
Memory usage refers to the amount of memory being used by a VM at any given time. Memory usage is assessed by analyzing the host level, VM level, and granted memory. When memory usage exceeds the available physical memory on the server, the hypervisor may use disk space as a temporary storage area for excess memory, leading to performance issues. The disparity between used and granted memory indicates the overcommitment rate, which can be adjusted through ballooning.
5.6. Disk/Network Latency
Some virtualization providers provide integrated utilities for assessing the latency of disks and network interfaces utilized by a virtual machine. Since latency directly affects response time, increased latency at the hypervisor level will also impact the application. An excessive amount of latency indicates the system is overloaded and requires reconfiguration. These metrics enable us to monitor and detect any negative impact a virtualized system might have on our application.
6. Industry tips for IaaS Virtualization Implementation
Testing, compliance management and security arecritical aspects of managing virtualized IaaS environments . By implementing a comprehensive strategy, organizations ensure their infrastructure and applications' reliability, security, and performance.
6.1. Infrastructure Testing
This involves testing the infrastructure components of the IaaS environment, such as the virtual machines, networks, and storage, aiming to ensure the infrastructure is functioning correctly and that there are no performance bottlenecks, security vulnerabilities, or configuration issues. Testing the virtualized environment, storage testing (testing data replication and backup and recovery processes), and network testing are some of the techniques to be performed.
6.2. Application Testing
Applications running on the IaaS virtual environment should be thoroughly tested to ensure they perform as expected. This includes functional testing to ensure that the application meets its requirements and performance testing to ensure that the application can handle anticipated user loads.
6.3. Security Monitoring
Security monitoring is critical in IaaS environments, owing to the increased risks and threats. This involves monitoring the infrastructure and applications for potential security threats, vulnerabilities, or breaches. In addition, regular vulnerability assessments and penetration testing help identify and address potential security issues before they become significant problems.
6.4. Performance Monitoring
Performance monitoring is essential to ensuring that the underlying infrastructure meets performance expectations and has no performance bottlenecks. This comprises monitoring metrics such as CPU usage, memory usage, network traffic, and disk utilization. This information is used to identify performance issues and optimize resource usage.
6.5. Cost Optimization
Cost optimization is a critical aspect of a virtualized IaaS environment with optimized efficiency and resource allocation. Organizations reduce costs and optimize resource usage by identifying and monitoring usage patterns and optimizing elastic and scalable resources. It involves right-sizing resources, utilizing infrastructure automation, reserved instances, spot instances (unused compute capacity purchased at a discount), and optimizing storage usage.
7. Conclusion
IaaS virtualization has become a critical component of DevOps and continuous delivery practices. To rapidly develop, test, and deploy applications with greater agility and efficiency by providing on-demand access to scalable infrastructure resources to Devops teams, IaaS virtualization comes into picture. As DevOps teams continue to seek ways to streamline processes and improve efficiency, automation will play an increasingly important role. Automated deployment, testing, and monitoring processes will help reduce manual intervention and increase the speed and accuracy of development cycles. In addition, containers will offer a lightweight and flexible alternative to traditional virtualization, allowing DevOps teams to package applications and their dependencies into portable, self-contained units that can be easily moved between different environments. This can reduce the complexity of managing virtualized infrastructure environments and enable greater flexibility and scalability. By embracing these technologies and integrating them into their workflows, DevOps teams can achieve greater efficiency and accelerate their delivery of high-quality software products.
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Hyper-Converged Infrastructure
Article | July 13, 2023
Unlocking the potential of hyper-converged infrastructure: Designing an advanced data center with scalability, efficiency, and performance for seamless HCI deployments through recent trends.
Contents
1. Introduction
2. Top Trends to consider in HCI
2.1. Public Cloud Services: An Option to On-premises Storage Infrastructure
2.2. Increasing Priority for Edge in Digital Businesses
2.3. Application Modernization
2.4. Hybrid and HCI: The Way to Future
2.5. HCI Automation Software in Pipeline
2.6. Backup and Disaster Recovery
2.7. Quadrupling of Micro Data and Edge Centers
3. Wrap Up
1. Introduction
In the era of hyper-converged infrastructure, designing an advanced data center is crucial to unlock the full potential of this transformative technology. With HCI combining compute, storage, and networking into a single platform, the data center must be carefully planned and optimized to ensure scalability, flexibility, and efficient operations. In this article, explore the key considerations and top hyper converged infrastructure trends for designing an advanced data center tailored for HCI, enabling organizations to harness the benefits of this innovative infrastructure.
2. Top Trends to consider in HCI
2.1 Public Cloud Services: An Option to On-premises Storage Infrastructure
HCI is experiencing the option of public cloud services as an alternative to on-premises storage infrastructure. By leveraging cloud services and native HCI platform file services, organizations can optimize workloads, leverage data storage services, eliminate silos, and create a unified and high-performance infrastructure. A 2019 ESG survey conducted among IT and data storage professionals found that public cloud storage infrastructure is increasingly favored over on-premises options. The survey revealed that IT professionals are twice as likely to consider public cloud storage infrastructure due to its benefits in cost efficiency, ease of procurement, automation capabilities, and simplified evaluation processes. Hyperconverged infrastructure facilitates on-premises and cloud-based deployments, enabling organizations to integrate and manage their IT infrastructure across both environments seamlessly. As organizations continue to explore hybrid IT strategies, HCI will play a critical role in providing a flexible and efficient infrastructure foundation.
2.2 Increasing Priority for Edge in Digital Businesses
Organizations are investing in IT to support this new business model of edge computing, and HCI plays a crucial role in enabling the deployment of edge resources. This trend also drives cloud adoption for such implementations, facilitating rapid responses to evolving business models and enabling dynamic scalability without impacting the core business. The rise of remote workforces has highlighted the importance of edge computing, where computing resources are brought closer to the point of data generation and consumption. This streamlined approach enables organizations to deploy and manage edge resources efficiently, ensuring reliable performance and data availability for remote employees. Furthermore, the adoption of IT infrastructure is complemented by the increasing use of cloud services. HCI serves as a bridge between on-premises infrastructure and the cloud, facilitating seamless integration and enabling organizations to leverage cloud capabilities for rapid scalability and flexibility.
2.3 Application modernization
One among Hyper-Converged Infrastructure trends, is application modernization is driving CIOs to seek opportunities for migrating to next-generation digital platforms that leverage HCI and cloud-native approaches. As part of this modernization approach, DevOps practices will need to incorporate containers and orchestration layers to provide the burst capabilities required to keep up with the escalating demands of digital experiences. The need for application modernization makes embracing advanced digital platforms that can efficiently modernize their existing applications compelling. This transformation allows for the rapid development of new products, services, and processes, enhancing customer experiences and increasing customer satisfaction. Containers provide a lightweight and scalable environment, allowing for consistent and reliable application deployment across various platforms. Orchestration tools streamline the management of containerized applications, enabling automated scaling, load balancing, and efficient resource allocation. By leveraging these containerization and orchestration layers, organizations can meet the growing demands of digital experiences, ensuring optimal performance and responsiveness.
2.4 Hybrid and HCI: The Way to Future
Traditional, cumbersome infrastructure is slowing down companies and impeding their ability to innovate faster than their more agile competitors. The future of IT infrastructure lies in hybrid environments, and HCI serves as a powerful facilitator for this transition. HCI allows businesses to seamlessly simplify their environments, optimize workload experiences, and improve scalability. According to research by 451 Research, 45% of respondents using HCI report that it facilitates resource scaling across their environments as circumstances and goals evolve. Additionally, an overwhelming 97% of HCI customers agree that HCI simplifies the deployment process for hybrid IT environments. This demonstrates the value and relevance of HCI in supporting the agility and flexibility demanded by the future of IT infrastructure. Fundamental innovations such as compute/storage disaggregation with HCI Mesh, native file services, and Kubernetes integration are broadening the range of applications for which HCI is well suited. With ongoing product innovations, such as compute/storage disaggregation, native file services, and Kubernetes integration, HCI continues to expand its range of applications, providing organizations with the performance, agility, and cost savings needed in modern IT infrastructure.
2.5 HCI Automation Software in Pipeline
The highly automated nature of HCI helps mitigate the risk of downtime by automating everyday life-cycle infrastructure management tasks, such as firmware upgrades and system refreshes. This automation reduces the need for complex, disruptive forklift upgrades traditionally prevalent in data centers. As a result, the data center becomes more intelligent and automated through the pervasive use of artificial intelligence and hyper-convergence, particularly in the monitoring and managing of assets and risks. Hyper converged infrastructure vendors are heavily investing in machine learning and automation to improve the underlying hardware and hyper-converged software for providing hyper converged solutions. The development of automation software, machine-learning-based AI for HCI reflects the industry's focus on enhancing HCI's efficiency, resilience, and manageability. Integrating artificial intelligence and automation technologies into HCI offerings paves the way for more intelligent and self-managing data centers. As the trend continues to evolve, organizations can expect greater automation capabilities and improved management of their decentralized and distributed systems through innovative HCI software solutions.
2.6 Backup and Disaster Recovery
Increasing concerns for faster data backup and security drive significant growth in the backup and disaster recovery application segment. Research firm MarketsAndMarkets reports that backup and disaster recovery are the fastest-growing applications within the hyper-converged market. One notable trend in the backup and disaster recovery space is the ability of hyper-convergence to reduce the total cost of ownership and operating expenses. Organizations can achieve cost savings and streamline their backup and disaster recovery processes by consolidating backup software, deduplication appliances, and storage arrays into a unified infrastructure. This integrated approach simplifies management, eliminates the need for separate components, and improves overall efficiency. According to MarketsAndMarkets, the global hyper-converged infrastructure market is projected to grow at a compound annual growth rate of 33 percent over the next four years, reaching a value of $17.1 billion by 2023. The demand for continuous application delivery and the increasing awareness among enterprises and small to medium-sized businesses are expected to drive this hyper converged market size expansion.
2.7 Quadrupling of Micro Data and Edge Centers
The evolution and adaptation of traditional enterprise data centers, driven by the rise of cloud computing, are paving the way for the expansion of micro or edge data centers. Gartner predicts that by 2025 these edge data centers will quadruple, fueled by innovations such as 5G and hyperconverged infrastructure. This shift presents an opportunity for hyper-converged offerings to consolidate servers, storage, networking, and software into a single, streamlined solution at the edge. While small remote office and edge deployments may require fewer storage and compute resources, they greatly benefit from centralized management and high-availability designs. HCI's ability to consolidate resources and its compact form factor make it an ideal solution for edge environments with limited physical space.
3. Wrap Up
Designing an advanced data center for hyper-converged infrastructure trends requires careful planning and consideration of key factors in HCI such as scalability, network architecture, storage requirements, and redundancy. By implementing approaches like modular design, modern digitalization, efficient cooling, proper power distribution, and robust security measures, organizations can create a data center that optimally supports HCI deployments. With an advanced data center, organizations can realize the full potential of HCI, achieving agility, scalability, and improved performance for their IT infrastructure.
An advanced data center tailored for hyper-converged infrastructure is essential to fully leverage HCI's benefits. By following the trends & techniques and considering critical factors in design, organizations can create a future-proof and efficient data center that enables seamless deployment and operation of HCI solutions, unlocking agility and scalability for their IT infrastructure.
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Hyper-Converged Infrastructure
Article | October 3, 2023
With infrastructure as code (IaC), you write declarative instructions about compute, storage and network requirements for the infra and execute it. How does this compare to platform as code (PaC) and what did these two concepts develop in response to? In its simplest form, the tech stack of any application has three layers — the infra layer containing bare metal instances, virtual machines, networking, firewall, security etc.; the platform layer with the OS, runtime environment, development tools etc.; and the application layer which, of course, contains your application code and data. A typical operations team works on the provisioning, monitoring and management of the infra and platform layers, in addition to enabling the deployment of code.
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Hyper-Converged Infrastructure, Windows Systems and Network
Article | July 11, 2023
Streamlining operations and maximizing efficiency: Choose the right tools for managing and orchestrating hyper-converged infrastructure to unlock its full potential with Hyperconverged solutions.
Managing and orchestrating hyper-converged infrastructure (HCI) is critical to modern IT operations. With the growing adoption of HCI solutions, choosing the right tools for management and orchestration is essential for organizations to optimize their infrastructure and ensure seamless operations. In this article, we will delve into the factors to consider when selecting Hyper-Converged tools for management and orchestration and explore some of the top options available in the market.
1. Symcloud Orchestrator
The Symcloud platform is a webscale solution designed for metal-service automation and orchestration in telecommunications. It enables the automation and management of various network components, including RAN (Radio Access Network), packet core, and MEC (Multi-Access Edge Computing). With Symcloud, businesses can centrally manage large numbers of CNF (Cloud-Native Function) and VNF (Virtual Network function) capable Kubernetes clusters on a single Kubernetes platform. The platform allows for rapid deployment of the entire solution stack in minutes, supporting edge, far edge, and core data centers. Symcloud provides advanced monitoring, planning, and healing capabilities, enabling users to view hardware, software, services, and connectivity dependencies. The architecture of Symcloud Orchestrator combines app-aware storage, virtual networking, and application workflow automation on Kubernetes. Symcloud Storage provides advanced storage and data management capabilities for Kubernetes distributions, seamlessly integrating with native administrative tooling. Symcloud Platform is a Kubernetes infrastructure that supports containers and virtual machines, offering superior performance, features, and flexibility.
2. Morpheus
Morpheus Data is a comprehensive hybrid cloud management platform that empowers enterprises to manage and modernize their applications while reducing costs and improving efficiency. With Morpheus, businesses can quickly enable on-premises private clouds, centralize access to public clouds, and orchestrate changes with advanced features like cost analytics, governance policies, and automation. It provides a unified view of virtual machines, clouds, containers, and applications in a single location, regardless of the private or public cloud environment. Morpheus offers responsive support from an expert team and features an extensible design. It helps centralize platforms, create private clouds, manage public clouds, and streamline Kubernetes deployments. This tool also enables compliance assurance through simplified authentication, access controls, policies, and security management. By automating application lifecycles, running workflows, and simplifying day-to-day operations, Morpheus helps modernize applications. The platform optimizes cloud costs by inventorying existing resources, right-sizing them, tracking cloud spending, and providing centralized visibility.
3. The Kubernetes Database-as-a-Service Platform
Portworx Data Services is a Kubernetes Database-as-a-Service (DBaaS) platform that offers a single solution for deploying, operating, and managing various data services without being locked into a specific vendor. It simplifies heterogeneous databases' deployment and day-to-day operations, eliminating the need for specialized expertise. With one click, organizations can deploy enterprise-grade data services with built-in capabilities like backup, restore, high availability, data recovery, security, capacity management, and migration. The platform supports a broad catalog of data services, including SQL Server, MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Cassandra, Couchbase, Kafka, Consul, RabbitMQ, and ZooKeeper. Portworx Data Services provides a consistent DBaaS experience on any infrastructure, whether on-premises or in the cloud, enabling seamless migration based on evolving business requirements.
4. DCImanager
DCImanager- a platform for managing multivendor IT infrastructure is a comprehensive platform for providing a unified interface to oversee and control all equipment types, including racks, servers, network devices, PDUs, and virtual networks. It is suitable for servers and data centers of any size, including distributed environments. DCImanager eliminates the need for additional tools and associated maintenance costs, allowing users to work seamlessly with equipment from popular vendors. With DCImanager, users can efficiently manage servers remotely, automate maintenance tasks, monitor power consumption, configure network settings, track inventory, visualize racks, and receive timely notifications. With over 16 years of experience, DCImanager is a reliable solution trusted by thousands of companies worldwide, backed by professional support.
5. EasyDCIM
EasyDCIM, a cloud-like bare metal server provisioning is a comprehensive and hassle-free data center administration solution that offers an all-in-one platform for managing daily tasks without requiring multiple software tools. It provides mobility, allowing remote management of data centers from any location and device. The system is highly expandable and customizable, allowing users to tailor the functionality to their needs. EasyDCIM excels in automated bare metal and dedicated server provisioning, streamlining the process from ordering to service delivery. It features a standalone system with a fully customizable admin control panel and user portal. The platform includes advanced data center asset lifecycle tracking, automated OS installation, network auto-discovering, and integration with billing solutions. EasyDCIM's modular architecture enables the easy extension and modification of system components.
6. Puppet
Puppet-Infrastructure automation and compliance at enterprise scale offers an automation solution that allows businesses to manage and automate complex workflows using reusable blocks of self-healing infrastructure as code. With model-driven and task-based configuration management, organizations can quickly deploy infrastructure to meet their evolving needs at any scale. By automating the entire infrastructure lifecycle, Puppet increases operational efficiency, eliminates silos, reduces response time, and streamlines change management. Puppet's automated policy enforcement ensures continuous compliance and a secure posture, enabling the identification, reporting, and resolution of errors while enforcing the desired state across the infrastructure. Leveraging the vibrant Puppet community, users can benefit from pre-built content and workflows, accelerating their deployment. With deep DevOps and enterprise experience, Puppet is a trusted advisor, assisting the largest enterprise customers in rethinking and redefining their IT management practices.
7. Foreman
Foreman is a robust lifecycle management tool designed for system administrators to manage physical and virtual servers efficiently. With Foreman, tasks can be automated, applications can be deployed quickly, and server management becomes proactive. It supports a wide range of providers, enabling hybrid cloud management. The tool includes features such as external node classification, Puppet and Salt configuration monitoring, and comprehensive host monitoring. Its CLI, Hammer, offers easy access to API calls for streamlined data center management. With RBAC and LDAP integration, audits, and a pluggable architecture, Foreman provides a powerful solution for server provisioning, configuration management, and monitoring.
Conclusion
HCI choosing the right tools for management and orchestration is paramount for organizations seeking to optimize their operations and achieve greater efficiency. Businesses can make informed decisions and select tools that align with their specific needs by considering factors such as scalability, automation capabilities, integration, and vendor support. Whether leveraging vendor-provided solutions or opting for third-party tools, the key is ensuring that the chosen tools enable effective management and orchestration of the HCI environment, allowing organizations to unlock the full potential of their infrastructure and drive business success.
As HCI continues to gain prominence, selecting the appropriate Hyper-Converged tools for management and orchestration becomes crucial for organizations aiming to streamline operations and maximize the benefits of their infrastructure investment. By carefully evaluating the available options, considering key factors, and aligning with business requirements, organizations can make informed decisions that optimize their HCI environment and enable them to adapt to the evolving needs of their digital infrastructure.
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