Why do you need a software-defined data centre in your hybrid cloud?

Software Defined Data Center(SDDC) Explained | IBM

If there is one thing that 2020 has taught us, it is that things can change on a dime. Over the last year, we have learned how to better cope with dramatic change in how we run our businesses – setting up remote working, creating more online services to satisfy customers’ new demands and migrating more applications to the cloud. But there’s more to do.

In these times, businesses are demanding even more agility and flexibility from their internal IT departments, which already have been under pressure to modernize data-center operations as the popularity of SaaS and the public cloud grows.

The trend toward data center virtualization is sure to intensify. In the current environment, we may need to reconsider how we think about and transition to the software-defined data center (SDDC). It’s increasingly important to have solid and standardized protocols and processes for SDDC to improve your company’s dexterity, scalability and costs. SDDC’s value also lies in its ability to improve resiliency, helping IT more seamlessly provision, operate and manage data centers through APIs in the midst of crisis.

Software Defined Data Center | What is SDDC – Happiest Minds

A well-groomed SDDC architecture primes an organization for its transformation journey to hybrid cloud. We won’t say that that journey is inevitable for everyone, but it’s way more likely than not.

Evidence of a growing movement to hybrid cloud comes from a recent Everest Group survey of 200 enterprises, which found that three out of four respondents said they have a hybrid-first or private-first cloud strategy, and 58% of enterprise workloads are on or expected to be on hybrid or private clouds. As much as companies may like the idea of moving everything to public cloud for its flexibility and cost benefits, it just isn’t practical for many reasons, including compliance and security concerns.

As a virtualized pool of resources, SDDC is the optimal foundation for hybrid cloud environments. It provides a common platform for both private and public clouds, automating resource assignments and tasks, simplifying and speeding application deployment, and being the backbone of a high-availability infrastructure.   Operational and IT labor costs shrink.

Make SDDC work for you

If you’ve already invested in SDDC software but aren’t seeing the returns you’d hoped for, you’re in the same boat as many other businesses. Companies often start on the road to virtualizing and automating their compute, storage and networking infrastructure, but they haven’t changed their thinking about how to operate the environment by reorganizing management functions with a code-based mindset.

It’s time to think differently.

Rise of DevOps - The Evolution of Software Development Life Cycle (SDLC)

The transition is not unlike what took place as DevOps software development practices overtook waterfall development, creating an environment where DevOps engineers came together with developers and IT operational staff to facilitate the creation of and regular release updates for products.

To get the most value from SDDC, you must merge the traditional functions of architecture, engineering, integration and operations teams into a DevOps kind of model to enhance the feedback loop and make improvements in the architecture/design.

Constant feedback loops need to be institutionalized. Adopting the SDDC infrastructure-as-code approach creates the continuous delivery pipelines for business applications that are critical to business competitiveness. Remember: If you can’t roll out solutions to answer customers’ needs at the speed of thought, you’re at risk of losing business to a rival that can.

Management silos need to break down and new tooling and processes must be standardized. There is no longer a need to invest in developing vendor-specific hardware operations skills. A culture shift is required for siloed network, storage and compute teams. There’s no room for managing discrete environments if your business is to achieve a complete, automated and cloud-ready SDDC. Integrated teams must be aligned to a single goal.

SDDC environments deliver other important benefits. Organizations with different IT environments in different regions suffer from a lack of consistency in hardware-oriented data center infrastructures. Replacing the confines and confusion of this setup with a hardware-agnostic approach using intelligent software streamlines the process of moving workloads across resources for better disaster recovery, business continuity and scalability.

SDDC matures for the digital era

Telefonica Taking on Transformation

Many considerations must go into the build-out of an SDDC. Businesses will find that the solutions and services available with Anteelo’s Enterprise Technology Stack set the groundwork for developing and refining SDDC capabilities.

It starts with our understanding and management of even the most complex customer environments, where we can apply our knowledge to help businesses understand the transformation journey. We can manage and maintain your SDDC, assisting you with everything from advising you about what applications are appropriate to live in the cloud to maintaining tight security controls.

Success in our digital era demands less complicated and more easily managed data centers. SDDC is the mature and sophisticated answer to that need.

The platform to focus on the most valuable asset: Data-Centric Architecture.

Building a Data-Centric Architecture to Power Digital Business | Pure Storage Blog

The value proposition of global systems integrators (GSIs) has changed remarkably in the last 10 years. By 2010, it was the waning days of the so-called “your mess for less” (YMFL) business model. GSIs would essentially purchase and run a company’s IT shop and deliver value through right-shoring (moving labor to low cost places), leveraging supply chain economies of scale and, to a lesser degree, automation.

This model had been delivering value to the industry since the ‘90s but was nearing its asymptotic conclusion. To continue achieving the cost savings and value improvements that customers were demanding, GSIs had to add to their repertoire. They had to define, understand, engage and deliver in the digital transformation business. Today, I am focusing on the value GSIs offer by concentrating on their client’s data, rather than being fixated on the boxes or cloud where data resides.

In the YMFL business, the GSIs could zero in on the cheapest, performance compliant disk or cloud to house sets of applications, logs, analytics and backup data. The data sets were created and used by and for their corresponding purpose. Often, they were tenuously managed by sophisticated middleware and applications for other purposes, like decision support or analytics.

Getting a centralized view of the customer was difficult, if not impossible. First, it was due to the stove piping of the relevant data in an application-centric architecture. In tandem, data islands were created for analytics repositories.

Data-Centered Architecture - Design Your Software Architecture Using Industry-Standard Patterns - OpenClassrooms

Now enters the “Data Centric Architecture.” Transformation to a data-centric view is a new opportunity for GSIs to remain relevant and add value to customer’s infrastructures. It is a layer deeper than moving to cloud or migrating to the latest, faster, smaller boxes.

A great way to help jump start this transformation is by rolling out Data as a Service offerings. Rather than taking the more traditional Storage as a Service or Backup as a Service approach, Data as a Service anticipates and provides the underlying architecture to support a data-centric strategy.

It is first and foremost a repository for collected and aggregated data that is independent of application sources. From this repository, you can draw correlations, statistics, visualizations and advanced analytical insights that are impossible when dealing with islands of data managed independently.

It is more than the repository of the algorithmically derived data lake. A Data as a Service approach provides cost effective accessibility, performance, security and resilience – aimed at addressing the largest source of both complexity and cost in the landscape.

What Is Data-as-a-Service (DaaS)? | Hazelcast

Data as a Service helps achieve these goals by minimizing, simplifying and reducing the data and its movement within and outside of the enterprise and cloud environments. This is achieved around four primary use cases, which range from enterprise storage to backup and long-term retention:

 

Each of the cases illustrates the underlying capabilities necessary to cost effectively support the move to a data-centic architecture. Combined with a “never migrate or refresh again” evergreen approach, GSIs can focus on maximizing value in the stack of offerings. This approach is revolutionary.  In past, there was merely a focus on the refresh of aging boxes, or the specifications of a particular cloud service, or the infrastructure supporting a particular application. Today, GSIs can focus on the treasured asset in their customer’s IT — their data.

error: Content is protected !!