In 2019, several notable trends emerged in the DevOps landscape, illustrating the principles of the CALMS framework (Culture, Automation, Lean, Measurement, Sharing). Key developments included the proliferation of pipeline automation and infrastructure as code tools, which streamline software development and deployment processes. Kubernetes continued to dominate as a leading container orchestration platform, prompting discussions around service meshes that simplify service-to-service communication. Observability gained importance as a distinct concept from monitoring, enabling better insight into system states. The rise of DevSecOps emphasized integrating security into development pipelines, while Site Reliability Engineering (SRE) gained traction for its engineering-centric approach to maintaining system reliability. Artificial intelligence began influencing DevOps through machine learning applications that optimize processes and predict failures. Serverless computing attracted interest by abstracting infrastructure concerns away from developers, and concepts of "shifting left" and "shifting right" in CI/CD processes highlighted efforts to improve efficiency and detect issues earlier and in production environments. As these trends evolve, companies like Logz.io aim to provide solutions that address these challenges with advanced observability platforms.