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What Are The Key Challenges a Platform Team Experiences?

With the increased reliance on various technologies for software development, both software and hardware need to grow along with those technologies to provide reliable and secure services. However, this need has led to creating more complex solutions than ever. Thus, the importance of robust infrastructure has come to the forefront to deliver these solutions reliably at a global scale. Due to these facts, the platform team has to face different challenges to provide and maintain this infrastructure without affecting the software development lifecycle (SDLC) or end-users.

What Is a Platform Team?

We have Dev for development, QA for testing, and likewise, the platform team for managing the infrastructure of an organization. This infrastructure includes both internal SDLC resources like CI/CD pipelines, staging/testing environments, production resources, and in most cases, managing software deployments. The platform team will handle most operational aspects of an SDLC. They are the key component that manages most of DevOps tools and platforms, bringing the full benefits of DevOps.

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How Monitoring and AIOps Delivers the Ultimate DevOps Platform

When it comes to delivering software through a DevOps model, the primacy of the platform is increasingly evident. DevOps platforms are multi-tenant, self-service oriented, developer-centric, and are an essential component of a multi-cloud strategy. They provide guide rails and standardized tools and technologies for developers to build, test, and iterate with ease. A core component that must not be neglected when operating a DevOps model, however, is resilience.  

DevOps breaks down monolithic products into smaller value streams that can be delivered as independent cloud-based services. Once teams are set up to deliver under this model, it will be formalized through service level agreements (SLAs). To deliver against these, robust monitoring and alerting practices must be put in place. As with any DevOps practice, automation is the ultimate goal — and when it comes to monitoring and alerting, an AIOps platform is the gold standard. 

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The Power of DevOps Self-Service Platforms: How Standard Tools and Tech Increase Developer Velocity

Introduction

By now, most organizations in the business of delivering software will likely have a DevOps strategy. Even if adoption is only partial, the maturity of DevOps enables firms to improve delivery by implementing the tools and practices across their organization that best suit their needs. 

Once the benefits of DevOps are realized, the business case for scaling DevOps across the enterprise inevitably grows. However, there is a key problem when it comes to scaling DevOps, which is outlined by Gartner’s 2019 prediction that “by 2023, 90% of enterprises will fail to scale DevOps initiatives if shared self-service platform approaches are not adopted.” Providing self-service capabilities allows product development teams to quickly provide new features and push changes to customers while also allowing the self-service platform owners to focus on providing new infrastructure automation capabilities to further support the increased product velocity.

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Scaling DevOps and Delivery With a Platform

One of the impacts of the Covid-19 pandemic has been the increased urgency with which firms approach digital transformation. These initiatives aim to improve customer satisfaction, retention and acquisition through the development of modern applications to increase agility for faster delivery of products and services.

Modern application development necessitates breaking down applications into smaller value streams, delivered as independent services by agile teams via the cloud. But in order to do this, teams must of course possess the requisite skills to build, deploy and operate secure, cloud-native applications. Increasingly, firms that fail to ensure service teams develop these skills will struggle with digital transformation.