Hyper-Converged Infrastructure
Article | October 3, 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
Article | October 10, 2023
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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Hyper-Converged Infrastructure, Application Infrastructure
Article | July 19, 2023
The pandemic has had a seismic impact on the telecom sector. This is perhaps most notably because where and how the world goes to work has been re-defined, with nearly every business deepening its commitment to mobility. Our homes suddenly became our offices, and workforces went from being centrally managed to widely distributed. This has called for a heightened need for widespread, secure and high-speed connectivity around the clock.
5G has answered the call, and 5G location intelligence and big data can provide service providers with the information they need to optimize their investments.
Case in point: Juniper Research reported in its 5G Monetization study that global revenue from 5G services will reach $73 billion by the end of 2021, rising from just $20 billion last year.
5G flexes as connected devices surge
Market insights firm IoT Analytics estimates there will be more than 30 billion IoT connections by 2025. That's an average of nearly four IoT devices per person. To help meet the pressure this growth in connectivity is putting on telecom providers, the Federal Communications Commission (FCC) is taking action to make additional spectrum available for 5G services and promoting the digital opportunities it provides to Americans. The FCC is urging that investments in 5G infrastructure be prioritized given the "widespread mobility opportunity" it presents, as stated by FCC Chairwoman Jessica Rosenworcel.
While that's a good thing, we must also acknowledge that launching a 5G network presents high financial risk, among other challenges. The competitive pressures are significant, and network performance matters greatly when it comes to new business acquisition and retention. It's imperative to make wise decisions on network build-out to ensure investments yield the anticipated returns.
Thus, telcos need not – and should not – go it blindly when considering where to invest. You don't know what you don't know, which is why 5G location intelligence and big data can provide an incredible amount of clarity (and peace of mind) when it comes to optimizing investments, increasing marketing effectiveness and improving customer satisfaction.
Removing the blindfold
Location data and analytics provide telcos and Communications Service Providers (CSPs) with highly-specific insights to make informed decisions on where to invest in 5G. With this information, companies can not only map strategic expansion, but also better manage assets, operations, customers and products.
For example, with this intelligence, carriers can gain insight into the most desired locations of specific populations and how they want to use bandwidth. They can use this data to arm themselves with a clear understanding of customer location and mobility, mapping existing infrastructure and competitive coverage against market requirements to pinpoint new opportunities. By creating complex customer profiles rich with demographic information like age, income and lifestyle preferences, the guesswork is eliminated for where the telco should or shouldn’t deploy new 5G towers.
Further, by mapping a population of consumers and businesses within a specific region and then aggregating that information by age, income or business type, for example, a vivid picture comes to life of the market opportunity for that area.
This type of granular location intelligence adds important context to existing data and is a key pillar to data integrity, which describes the overall quality and completeness of a dataset. When telcos can clearly understand factors such as boundaries, movement and the customers’ surroundings, predictive insights can be made regarding demographic changes and future telecom requirements within a certain location. This then serves as the basis for a data-backed 5G expansion strategy. Without it, businesses are burdened by the trial-and-error losses that are all too common with 5G build-outs.
Location precision's myriad benefits
Improved location precision has many benefits for telcos looking to pinpoint where to build, market and provision 5G. Among them are:
Better data: Broadening insights on commercial, residential and mixed-use locations through easy-to-consume, scalable datasets provide highly accurate in-depth analyses for marketing and meeting customer demand.
Better serviceability insights: Complete and accurate location insights allow for a comprehensive view of serviceable addresses where products and services can be delivered to current and new customers causing ROI to improve and customers to be adequately served.
Better subscriber returns: Companies that deploy fixed wireless services often experience plan cancellations due to inconsistencies of signal performance, which typically result from the misalignment of sites with network assets. Location-based data provides operators with the ability to adapt their networks for signal consistency and serviceability as sites and structures change.
The 5G future
The role of location intelligence in accelerating development of new broadband services and driving ROI in a 5G world cannot be overstated. It adds a critical element of data integrity that informs network optimization, customer targeting and service provisioning so telecom service providers can ensure their investments are not made with blind hope.
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Application Infrastructure
Article | August 3, 2022
Flexible data access, enhanced disaster recovery, and reduced infrastructure staff burden are some of the biggest reasons businesses migrate to innovative and reliable cloud technologies. Infrastructure-as-a-service or Iaas, is one such cloud computing model that has simplified the lives of enterprises and developers by reducing their infrastructure burden. Iaas gives you access to servers, networking, storage, and virtualization features.
IaaS is fast becoming one of the biggest trends in cloud computing. According to Technavio's latest report, the IaaS market projects a growth of USD 141.77 billion, registering a CAGR of 28.2% from 2021 to 2026.
“So many systems end up as a big dreaded ball of mud (which is totally preventable) when designing an enforceable architecture model.”
Alexander von Zitzewitz, CEO, hello2morrow Inc.
But, how can IaaS technology help you grow and advance your business? Here are some key advantages of switching to IaaS:
Better Performance
One of the more well-known benefits of IaaS is achieving a higher performance level from your infrastructure. Rather than worrying about the latest hardware for your infrastructure, with IaaS in place, your in-house IT team will be able to focus more on working on your business goals and objectives through technology.
Because the SLA (Service Level Agreement) with your IaaS cloud service provider can ensure that you are getting the best performance from your cloud provider's infrastructure. An SLA will ensure that your cloud provider is accountable for continuous upgrades and the best possible service for your business.
Decreased CapEx
With IaaS technology, you can choose the IaaS cloud service provider of your choice. Typically, a cloud provider has a more reliable, robust, and redundant infrastructure setup than what would be feasible and financially realistic in an office environment. This means you can save on maintenance, purchase, and operating hardware-related business expenditures. Additionally, it also decreases your overall IT-related capital expenditure (CapEx).
Increased Flexibility
IaaS increases your scalability and flexibility exponentially. Your business can scale up and down as needed and on-demand.
For example, say your business is hosting a short-term campaign to drive more traffic to your website. IaaS will automatically provision resources to ensure your business infrastructure is well equipped to handle the sudden incoming traffic boost.
Scale- Up Your Business
Additionally, IaaS gives your growing business the flexibility it needs from its IT infrastructure.
For example, if you’re considering opening a new office in a different location, you don’t need to spend extra on new hardware; instead, you can directly connect to your infrastructure virtually. This means you don’t need to invest in additional infrastructure for business expansion continually.
Managed-Task Virtualization
As IaaS supports the virtualization of management tasks, your IT is free to concentrate on other, more thought-intensive work. This will not only drive more efficiency but also help boost ROI.
Disaster Recovery
During disasters like an earthquake or floods, IaaS ensures smooth business operations. Disaster Recovery as a Service (DRaaS) stores and replicates data in multiple data centers in different geographical locations.
So even if a disaster or mishap causes significant damage to the data center, your IaaS providers can quickly restore the data from another data center.
Conclusion
IaaS allows your businesses to utilize the cloud to achieve your IT goals. It is flexible, scalable, reliable, cost-effective and provides seamless access to maximize business continuity. Therefore, you should choose a reliable IaaS cloud provider who can deliver a variety of cloud infrastructure solutions.
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