Hyper-Converged Infrastructure
Article | September 14, 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.
Read More
Hyper-Converged Infrastructure
Article | October 3, 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.
Read More
Hyper-Converged Infrastructure, Windows Systems and Network
Article | July 11, 2023
Rapid IT infrastructure scaling is always challenging. In March 2020, the coronavirus caused a surge in remote workers as organizations switched overwhelmingly to work-from-home policies. Scaling IT infrastructure to support this sudden shift proved to be a struggle for IT teams, resulting in a migration to cloud-based applications and solutions, a rush on hardware that can support a remote environment, and challenges scaling VPNs to support remote worker security. Here are some of the insights and lessons learned from IT professionals.
Read More
Application Infrastructure, Application Storage
Article | July 19, 2023
Unlock Courses and HCI certifications focused on hyperconvergence providing individuals with the knowledge and skills necessary to design, deploy, and manage these advanced infrastructure solutions.
Hyperconvergence has become essential for professionals and beginners seeking to stay ahead in their careers and grow in infstructure sector. Hyperconvergence courses and certifications offer valuable opportunities to enhance knowledge and skills in this transformative technology. In this article, explore the significance of hyperconvergence courses and certifications, and how they enable professionals to become experts in designing, implementing, and managing hyperconverged infrastructure solutions.
1. Cloud Infrastructure and Services Version 4.0 (DCA-CIS)
The Dell Technologies Proven Professional Cloud Infrastructure and Services Associate (DCA-CIS) certification is an associate level certification designed to provide participants with a comprehensive understanding of the technologies, processes, and mechanisms required to build cloud infrastructure. By following a cloud computing reference model, participants can make informed decisions when building cloud infrastructure and prepare for advanced topics in cloud solutions. The certification involves completing the recommended training and passing the DEA-2TT4 exam. Exam retake policies are in place, and exam security measures ensure the integrity and validity of certifications. Candidates receive provisional exam score reports immediately, with final scores available in their CertTracker accounts after a statistical analysis. This certification equips professionals with the necessary expertise to excel in cloud infrastructure and services.
2. DCS-SA: Systems Administrator, VxRail
The Specialist – Systems Administrator, VxRail Version 2.0 (DCS-SA) certification focuses on individuals wanting to validate their expertise in effectively administering VxRail systems. VxRail clusters provide hyper-converged solutions that simplify IT operations and reduce business operational costs. This HCI certification introduces participants to the VxRail product, including its hardware and software components within a VxRail cluster. Key topics covered include cluster management, provisioning, monitoring, expansion, REST API usage, and standard maintenance activities. To attain this certification, individuals must acquire a prescribed Associate Level Certification, complete recommended training options, and pass the DES-6332 exam. This certification empowers professionals to administer VxRail systems and optimize data center operations efficiently.
3. Certified and Supported SAP HANA Hardware
One among HCI certification courses, the Certified and Supported SAP HANA Hardware program provides a directory of hardware options powered by SAP HANA, accelerating implementation processes. The directory includes certified appliances, enterprise storage solutions, IaaS platforms, Hyper-Converged Infrastructure (HCI) Solutions, supported intel systems, and supported power systems. These hardware options have undergone testing by hardware partners in collaboration with SAP LinuxLab and are supported for SAP HANA certification. Valid certifications are required at purchase, and support is provided until the end of maintenance. SAP SE delivers the directory for informational purposes, and improvements or corrections may be made at their discretion.
4. Google Cloud Fundamentals: Core Infrastructure
Google Cloud Fundamentals: Core Infrastructure is a comprehensive course introducing essential concepts and terminology for working with Google Cloud. It provides an overview of Google Cloud's computing and storage services and resource as well as policy management tools. Through videos and hands-on labs, learners will gain the knowledge and skills to interact with Google Cloud services, choose and deploy applications using App Engine, Google Kubernetes Engine, and Compute Engine, and utilize various storage options such as cloud storage, Cloud SQL, Cloud Bigtable, and Firestore. This beginner-level course is part of multiple specialization and professional certificate programs, including networking in Google Cloud and developing applications with Google Cloud. Upon completion, learners will receive a shareable certificate. The course is offered by Google Cloud, a trusted provider of innovative cloud technologies designed for security, reliability, and scalability.
5. Infrastructure and Application Modernization with Google Cloud
The ‘Modernizing Legacy Systems and Infrastructure with Google Cloud’ course addresses the challenges faced by businesses with outdated IT infrastructure and explores how cloud technology can enable modernization. It covers various computing options available in the cloud and their benefits, as well as application modernization and API management. The course highlights Google Cloud solutions like Compute Engine, App Engine, and Apigee that assist in system development and management. By completing this beginner-level course, learners will understand the benefits of infrastructure and app modernization using cloud technology, the distinctions between virtual machines, containers, and Kubernetes, and how Google Cloud solutions support app modernization and simplify API management. The course is offered by Google Cloud, a leading provider of cloud technologies designed for security, reliability, and scalability. Upon completion, learners will receive a shareable certificate.
6. Oracle Cloud Infrastructure Foundations
One of the HCI certification courses, the ‘OCI Foundations Course’ is designed to prepare learners for the Oracle Cloud Infrastructure Foundations Associate Certification. The course provides an introduction to the OCI platform and covers core topics such as compute, storage, networking, identity, databases, and security. By completing this course, learners will gain knowledge and skills in architecting solutions, understanding autonomous database concepts, and working with networking and observability tools. The course is offered by Oracle, a leading provider of integrated application suites and secure cloud infrastructure. Learners will have access to flexible deadlines and will receive a shareable certificate upon completion. Oracle's partnership with Coursera aims to increase accessibility to cloud skills training and empower individuals and enterprises to gain expertise in Oracle Cloud solutions.
7. Designing Cisco Data Center Infrastructure (DCID)
The 'Designing Cisco Data Center Infrastructure (DCID) v7.0' training is designed to help learners master the design and deployment options for Cisco data center solutions. The course covers various aspects of data center infrastructure, including network, compute, virtualization, storage area networks, automation, and security. Participants will learn design practices for Cisco Unified Computing System, network management technologies, and various Cisco data center solutions. The training provides both theoretical content and design-oriented case studies through activities. By completing this training, learners can earn 40 Continuing Education credits and prepare for the 300-610 Designing Cisco Data Center Infrastructure (DCID) exam. This certification equips professionals with the knowledge and skills necessary to design scalable and reliable data center environments using Cisco technologies, making them eligible for professional-level job roles in enterprise-class data centers. Prerequisites for this training include foundational knowledge in data center networking, storage, virtualization, and Cisco UCS.
Final Thoughts
Mastering infrastructure in the realm of hyperconvergence is essential for IT professionals seeking to excel in their careers and drive successful deployments. Courses and HCI certifications focused on hyperconvergence provide individuals with the knowledge and skills necessary to design, deploy, and manage these infrastructure modernization solutions. By acquiring these credentials, professionals can validate their expertise, stay up-to-date with industry best practices, and position themselves as valuable assets in the rapidly evolving landscape of IT infrastructure.
These courses and certifications offer IT professionals the opportunity to master the intricacies of this transformative infrastructure approach. By investing in these educational resources, individuals can enhance their skill set, broaden their career prospects, and contribute to the successful implementation and management of hyperconverged infrastructure solutions.
Read More