Platform engineering: Empowering key Kubernetes use cases with Dynatrace

As digital transformation accelerates, platform engineering and DevOps automation have become pivotal for managing the complexities of modern multicloud environments and delivering high-quality software rapidly. Despite the increased demand for innovation, many organizations lack a clear DevOps automation strategy, with 72% of them reporting this gap in the 2023 DevOps Automation Pulse. Platform engineering offers a solution by treating application delivery and operations as a product, which includes self-service infrastructure and tooling to address inefficiencies. Key elements such as GitOps, unified observability, and security as code facilitate seamless integration into the development process, while tools like Dynatrace's AutomationEngine automate quality and security checks, improving release reliability. The focus on FinOps is essential for optimizing cloud costs, allowing real-time cost management and encouraging cost awareness among developers. Predictive AI, like Dynatrace's Davis, anticipates operational issues, reducing performance disruptions, while automated workflows ensure timely resolution of security vulnerabilities. Additionally, real user monitoring and Session Replay enhance customer experience by swiftly pinpointing and addressing backend issues. Dynatrace's platform supports over one hundred platform engineering use cases and customizable solutions, enabling organizations to tailor DevOps automation to their specific needs.

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