Application Infrastructure, Application Storage
Article | July 19, 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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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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Hyper-Converged Infrastructure, IT Systems Management
Article | September 14, 2023
Enterprises running hypervisors on hyper-converged infrastructure (HCI) systems typically have backup options available to them that are not available to those running on generic hardware. Such customers may also have additional backup challenges depending on the HCI vendor and hypervisor they have chosen. Let’s take a look.
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Storage Management
Article | July 11, 2022
Data Center as a Service (DCaaS) is a hosting service that gives clients access to actual data center infrastructure and amenities. Through a Wide-Area Network, DCaaS enables clients to remotely access the provider's storage, server, and networking capabilities (WAN).
Businesses can tackle their on-site data center's logistical and financial issues by outsourcing to a service provider. Many enterprises rely on DCaaS to overcome the physical constraints of their on-site infrastructure or to offload the hosting and management of non-mission-critical applications.
Businesses that require robust data management solutions but lack the necessary internal resources can adopt DCaaS. DCaaS is the perfect answer for companies that are struggling with a lack of IT help or a lack of funding for system maintenance.
Added benefits data Center as a Service allows businesses to be independent of their physical infrastructure:
A single-provider API
Data centers without Staff
Effortlessly handle the influx of data
Data centers in regions with more stable climates
Data Center as a Service helps democratize the data center itself, allowing companies that could never afford the huge investments that have gotten us this far to benefit from these developments. This is perhaps the most important, as Infrastructure-as-a-Service enables smaller companies to get started without a huge investment.
Conclusion
Data center as a service (DCaaS) enables clients to access a data center remotely and its features, whereas data center services might include complete management of an organization's on-premises infrastructure resources. IT can be outsourced using data center services to manage an organization's network, storage, computing, cloud, and maintenance. The infrastructure of many businesses is outsourced to increase operational effectiveness, size, and cost-effectiveness.
It might be challenging to manage your existing infrastructure while keeping up with the pace of innovation, but it's critical to be on the cutting edge of technology. Organizations may stay future-ready by working with a vendor that can supply DCaaS and data center services.
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