KubeCon Europe 2024 in Paris was the biggest event of the Cloud Native Computing Foundation (CNCF) to date. With over 12,000 participants, it was a monumental event, setting the stage for the latest trends and developments in cloud-native computing. As your loyal CNCF Ambassador, I’m here to share some of the important updates you don’t want to miss. I also invited fellow CNCF Ambassador Thomas Schuetz to join me with his own insights.

Without a doubt, you’ve heard about the persistent talent gap that has troubled the technology sector in recent years. It’s a problem that isn’t going away, plaguing everyone from engineering teams to IT security pros, and if you work in the industry today you’ve likely experienced it somewhere within your own teams. Despite major changes in the tech landscape, it is clear that organizations are still having significant difficulty keeping their technical talent in-house.

Despite advances in the world of observability, log management hasn’t evolved much in recent years. Users are familiar with the experience of Kibana or OpenSearch Dashboards (OSD), but those don’t always meet modern use cases. Logz.io is ready to change the conversation with the introduction of Explore, the new path forward for Log Management for users of the Logz.io Open 360™ observability platform.

In the dynamic world of container orchestration, Kubernetes stands out as the undisputed champion, empowering organizations to scale and deploy applications seamlessly. Yet, as the deployment scope increases, so do the associated Kubernetes workload costs, and the need for effective resource capacity planning becomes more critical than ever. When dealing with containers and Kubernetes you can find yourself facing multiple challenges that can affect your cluster stability and your business performance.

Every software-driven business strives for optimum performance and user experience. Observability—which allows engineering and IT Ops teams to understand the internal state of their cloud applications and infrastructure based on available telemetry data —has emerged as a crucial practice to help engage this process. For years, application performance monitoring (APM) was the de facto practice and tooling that organizations have used to keep tabs on their critical systems.

Data volumes are soaring. Environments are increasingly intricate. The risk of applications and systems encountering breakdowns is sky-high, and the mean time to recovery (MTTR) for production incidents is moving in the wrong direction. Disruptions not only jeopardize critical infrastructure but also have a direct impact on the bottom line of organizations. Swift recovery of affected services becomes paramount, as it directly correlates with business continuity and resilience.