Hyper-Converged Infrastructure, Windows Systems and Network
Article | July 11, 2023
Consider IaaS (infrastructure as a service) as a virtual version of your traditional data center. IaaS is a branch of cloud computing technology that offers virtualized storage, server, and networking wrapped together as a self-service platform. It is highly cost-efficient and makes up for easier, faster workloads. Although incredibly convenient for business, it largely depends on what your company needs to use it for.
What is IaaS, and How Can It Benefit Your Business?
IaaS first rose to popularity in the early 2010s. Since then, it has become the standard abstraction model for many types of workloads. But with the rise of the microservices application pattern and the arrival of new technologies like containers and serverless IaaS is still a foundational service, but the field is more crowded than ever.
The most common household cloud computing names—AWS (Amazon Web Services), Google Cloud and Microsoft Azure— are all IaaS providers. They all maintain giant data centers around the globe. It includes tons of storage systems, physical servers, and networking equipment under a virtualization layer. Cloud customers access these resources to deploy and run applications in a highly automated manner.
Developing a cloud adoption strategy is a vital step forward for modern-day business. And this subscription-based cloud computing service, IaaS, offers a remote management solution and reduces your purchase cost at the same time.
Additionally, IaaS also provides key solutions vital for any company’s future plans, such as big-data analysis. It allows businesses like yours to analyze massive data sets and see future trends, patterns, and associations that a human wouldn’t.
Understanding the IaaS Architecture
In an IaaS service model, your cloud provider will take over your infrastructure components, such as traditional on-premises data centers and host them on the internet. This includes virtual computing, servers, networking hardware, and infrastructure components, as well as the hypervisor layer.
IaaS service providers will also provide a wide array of services to accompany those infrastructure components.
Monitoring
Detailed billing
Security
Log access
Load balancing
Clustering
Storage resiliency
Backup
Replication
Disaster Recovery
IaaS services are automated and highly policy-driven, so you can implement all your infrastructure tasks effortlessly.
How Does It Work?
IaaS customers access their resources through a WAN (wide area network). Leveraging the cloud provider's services, they will install the remaining elements of an application stack.
For example, you can log in to the IaaS platform to create VMs (virtual machines), install operating systems on each VM, deploy middleware like databases, create storage buckets for workloads and backups, and install the enterprise workload on that VM. Afterward, you can also use the IaaS provider's services to track costs, balance network traffic, monitor performance, troubleshoot application-related issues and manage disaster recovery.
IaaS Use Cases
As IaaS provides general-purpose computing resources, it can be used for any kind of use case. IaaS is most often used today for the development and testing environments, websites, and web apps that interact with customers, data storage, analytics, and data warehousing workloads. Plus, it also offers backup and disaster recovery services, especially for on-premises workloads. IaaS is also a good way to set up and run common business software and apps like SAP.
Real-life Examples
GE Healthcare: Reputed medical imaging facility GE Healthcare adopted Amazon EC2 from AWS to design the GE Health Cloud. GE Health Cloud platform successfully empowered its consumers by collecting, storing, accessing, and processing information worldwide from different types of medical devices to obtain value from data.
Coca-Cola: The beverage giant Coca-Cola collaborated with SoftLayer adopting a pay-as-you-go architecture to manage their CRM system effectively during peak seasons.
Final Thoughts
Before choosing a provider, you will need to think carefully about the services, reliability, and costs. First, you should thoroughly assess the capabilities of your organization’s IT department and determine how well equipped it is to deal with the ongoing demands of IaaS implementation. Accordingly, you will be prepared to choose an alternative provider and move to the alternative infrastructure if you need to.
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Application Infrastructure, Application Storage
Article | July 19, 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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Hyper-Converged Infrastructure, Application Infrastructure
Article | July 19, 2023
Firms face challenges with managing their resources, and ensuring security & cost optimization, adding complexity to their operations. IaaS solves this need to maintain and manage IT infrastructure.
Contents
1. Infrastructure as a Service: Future of Cloud Computing
2. Upcoming Trends in IaaS
2.1 The Rise of Edge Computing
2.2 Greater Focus on Security
2.3 Enhancement in Serverless Architecture
2.4 Evolution of Green Computing
2.5 Emergence of Containerization
3. Final Thoughts
1. Infrastructure as a Service: Future of Cloud Computing
As digital transformation continues to reshape the business landscape, cloud computing is emerging as a critical enabler for companies of all sizes. With infrastructure-as-a-service (IaaS), businesses can outsource their hardware and data center management to a third-party provider, freeing up resources and allowing them to focus on their core competencies, reducing operational costs while maintaining the agility to adapt to changing market conditions.
With the increasing need for scalable computing solutions, IaaS is set to become a pivotal player in shaping the future of computing. IaaS is already emerging as a prominent solution for organizations looking to modernize their computing capabilities. This article will delve into the recent trends of IaaS and its potential impact on the computing industry, implying why IaaS is important for emerging businesses.
2. Upcoming Trends in IaaS
2.1 The Rise of Edge Computing
The rise in IoT and mobile computing has led to a challenge in the amount of data that can be transferred across a network in a certain period.
Due to its many uses, such as improving reaction times for self-driving cars and safeguarding confidential health information, the market for edge computing infrastructure is expected to reach a value of $450 billion.
(Source: CB Insights)
Edge computing is a technology that enables data processing to occur closer to its origin, thereby reducing the volume of data that needs to be transmitted to and from the cloud.
A mesh network of micro data centers that process or store critical data locally and push all received data to a central data center or cloud storage repository in a footprint of less than 100 square feet.
(Source: IDC)
Edge computing represents the fourth major paradigm shift in modern computing, following mainframes, client/server models, and the cloud. A hybrid architecture of interconnected IaaS services allows for low latency through edge computing and high performance, security, and flexibility through a private cloud. Connecting edge devices to an IaaS platform streamlines location management and enables remote work, thus looking forward to smoother future of IaaS.
An edge layer (fog computing) is required to optimize the architecture model with high-speed and reliable 5G connectivity, connecting edge devices with the cloud. This layer acts as autonomous distributed nodes, capable of analyzing and acting on real-time data. Doing so sends only the data required to the central infrastructure in an IaaS instance. By combining the advantages of edge computing in data capture with the storage and processing capabilities of the cloud, companies can take full advantage of the benefits of data analytics to leverage their innovation and optimization capabilities while simultaneously and effectively managing IoT devices on the edge.
IoT devices, also known as edge devices, possess the ability to analyze data in real time through the use of AI, ML, and algorithms, even in the absence of an internet connection. This technology yields numerous advantages, including superior decision-making, early detection of issues, and heightened efficiency. However, an IaaS infrastructure with top-notch computing and storage capabilities is an absolute necessity to analyze the data effectively.
2.2 Greater Focus on Security
Hackers might use cloud-based services to host malware through malware-as-a-service (MaaS) platforms or to distribute malware payloads using cloud-based apps and services. In addition, organizations often need more than they can secure in their IaaS footprint, leading to increased misconfigurations and vulnerabilities. Recognizing and reacting to an attack is called reactive security, whereas anticipating a dangerous event before it happens and intervening to prevent it is predictive safety. Predictive security is the future of cloud security.
The cybersecurity mesh involves setting up a distributed network and infrastructure to create a secure perimeter. This allows companies to centrally manage access to their data while enforcing security policies across the distributed network. It is a critical component of the Zero-Trust architecture. A popular IaaS cloud security trend is the multi-cloud environment. Multi-cloud proves effective when tools like security information and event management (SIEM) and threat intelligence are deployed.
DevSecOps is a methodology that incorporates security protocols at every stage of software development lifecycle (SDLC). This makes it convenient to deal with threats during the lifecycle itself. Since deploying DevOps, software releases have been shortened for every product release. DevSecOps proves to be secure and fast only with a fully automated software development lifecycle. The DevOps and security teams must collaborate to provide massive digital transformation and security. Digital services and applications need stronger and better security in exponential amounts. This methodology must be enforced in a CI/CD pipeline to make it a continuous process.
Secure access service edge (SASE) is a cloud-based architecture that integrates networking and software-as-a-service (SaaS) functions, providing them as a unified cloud service. The architecture combines a software-defined wide area network (SD-WAN) or other WAN with multiple security capabilities, securing network traffic.
2.3 Enhancement in Serverless Architecture
Serverless architecture apps are launched on demand when an event triggers the app code to run. The public cloud provider then assigns the resources necessary for the operation to occur. With serverless apps, containers are deployed and launched on demand when needed. This differs from the traditional IaaS cloud computing model, where users must pre-purchase capacity units for always-on server components to run their apps.
The app will incur minimal charges during off-peak hours with a serverless model. When there is a surge in traffic, it can scale up seamlessly through the provider without requiring DevOps involvement. A serverless database is a type of database that operates as a fully managed database-as-a-service (DBaaS). It automatically adjusts its computing and storage resources to match the demand, making it convenient for users. A serverless database is a cloud based service that eliminates the need to manage infrastructure, scaling, and provisioning. It allows developers to concentrate on constructing applications or digital products without the burden of managing servers, storage, or backups.
2.4 Evolution of Green Computing
In promoting green computing, infrastructure-as-a-service plays a significant role by allowing cloud providers to manage the infrastructure. This helps reduce the environmental impact and boosts efficiency by intelligently utilizing servers at high utilization rates. As a result, studies show that public cloud infrastructure is typically 2-4 times more efficient than traditional data centers, a giant leap forward for sustainable computing practices.
2.5 Emergence of Containerization
Containerization is a type of operating system virtualization where applications are executed in distinct user spaces called containers. These containers operate on the same shared operating system, providing a complete, portable computing environment for virtualized infrastructure. Containers are self-contained software packages operating in any environment, including private data centers, public clouds, or developer laptops. They comprise all the necessary components required for the right functioning of IaaS-adopted cloud computing.
3. Final Thoughts
With the expansion of multi-cloud environments, the emergence of containerization technologies like Docker and Kubernetes, and enhancements in serverless databases, IaaS is poised to become even more powerful and versatile in meeting the diverse computing needs of organizations. These advancements have enabled IaaS providers to offer a wide range of services and capabilities, such as automatic scaling, load balancing, and high availability, making it easier for businesses to build, deploy, and manage their applications swiftly in the cloud.
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Application Infrastructure
Article | May 9, 2022
We’re all hoping that 2022 will finally end the unprecedented challenges brought by the global pandemic and things will return to a new normalcy. For IT infrastructure and operations organizations, the rising trends that we are seeing today will likely continue, but there are still a few areas that will need special attention from IT leaders over the next 12 to 18 months.
In no particular order, they include:
The New Edge
Edge computing is now at the forefront. Two primary factors that make it business-critical are the increased prevalence of remote and hybrid workplace models where employees will continue working remotely, either from home or a branch office, resulting in an increased adoption of cloud-based businesses and communications services.
With the rising focus on remote and hybrid workplace cultures, Zoom, Microsoft Teams, and Google Meet have continued to expand their solutions and add new features. As people start moving back to office, they are likely to want the same experience they had from home. In a typical enterprise setup, branch office traffic is usually backhauled all the way to the data center. This architecture severely impacts the user experience, so enterprises will have to review their network architectures and come up with a roadmap to accommodate local egress between branch offices and headquarters. That’s where the edge can help, bringing it closer to the workforce.
This also brings an opportunity to optimize costs by migrating from some of the expensive multi-protocol label switching (MPLS) or private circuits to relatively low-cost direct internet circuits, which is being addressed by the new secure access service edge (SASE) architecture that is being offered by many established vendors.
I anticipate some components of SASE, specifically those related to software-defined wide area network (SD-WAN), local egress, and virtual private network (VPN), will drive a lot of conversation this year.
Holistic Cloud Strategy
Cloud adoption will continue to grow, and along with software as a service (SaaS), there will be renewed interest in infrastructure as a service (IaaS), albeit for specific workloads. For a medium-to-large-sized enterprise with a substantial development environment, it will still be cost-prohibitive to move everything to the cloud, so any cloud strategy would need to be holistic and forward-looking to maximize its business value.
Another pandemic-induced shift is from using virtual machines (VMs) as a consumption unit of compute to containers as a consumption unit of software. For on-premises or private cloud deployment architectures that require sustainable management, organizations will have to orchestrate containers and deploy efficient container security and management tools.
Automation
Now that cloud adoption, migration, and edge computing architectures are becoming more prevalent, the legacy methods of infrastructure provisioning and management will not be scalable.
By increasing infrastructure automation, enterprises can optimize costs and be more flexible and efficient—but only if they are successful at developing new skills. To achieve the goal of “infrastructure as a code” will require a shift in the perspective on infrastructure automation to one that focuses on developing and sustaining skills and roles that improve efficiency and agility across on-premises, cloud, and edge infrastructures. Defining the roles of designers and architects to support automation is essential to ensure that automation works as expected, avoids significant errors, and complements other technologies.
AIOps (Artificial Intelligence for IT Operations)
Alongside complementing automation trends, the implementation of AIOps to effectively automate IT operations processes such as event correlation, anomaly detection, and causality determination will also be important. AIOps will eliminate the data silos in IT by bringing all types of data under one roof so it can be used to execute machine learning (ML)-based methods to develop insights for responsive enhancements and corrections.
AIOps can also help with probable cause analytics by focusing on the most likely source of a problem. The concept of site reliability engineering (SRE) is being increasingly adopted by SaaS providers and will gain importance in enterprise IT environments due to the trends listed above. AIOps is a key component that will enable site reliability engineers (SREs) to respond more quickly—and even proactively—by resolving issues without manual intervention.
These focus areas are by no means an exhaustive list. There are a variety of trends that will be more prevalent in specific industry areas, but a common theme in the post-pandemic era is going to be superior delivery of IT services. That’s also at the heart of the Autonomous Digital Enterprise, a forward-focused business framework designed to help companies make technology investments for the future.
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