Operations | Monitoring | ITSM | DevOps | Cloud

Explore the future of AI and data analytics with Google Engineering Lead Samarth Shah. From Lakehouse architectures to Tiny Models at the edge, Samarth breaks down the key trends shaping cloud-native analytics. Gain insights into augmented analytics, data governance, and real-time intelligence in this forward-looking session from Civo Navigate San Francisco 2025.

In this pre-recorded Loki Community Call, we talk all about OTel and logging on Kubernetes with Cyril Tovena, Ward Bekker, Jay Clifford, and Nicole van der Hoeven at KubeCon EU 2025 in London. We discuss when why you should switch to OTel and why you shouldn't, what OTLP is exactly, and best practices for ingesting data through an OTLP endpoint.

Watch a short live demo about GitOps Cloud.

Tim Banks takes the stage at Civo Navigate San Francisco 2025 to explore the unintended consequences of cloud adoption. From runaway AWS bills to vendor lock-in and lost operational skills, Tim offers a thought-provoking look at how convenience in the cloud has come at a cost to resilience, privacy, and sustainability.

What can Super Mario teach us about platform engineering? More than you'd think! At Civo Navigate San Francisco 2025, Ramiro Berrelleza, founder of Okteto, draws surprising parallels between one of gaming’s most iconic series and the world of platform engineering. Learn how building familiar, reliable foundations, just like Super Mario, can empower developers, foster innovation, and avoid constantly reinventing the wheel.

Many organizations don’t realize the impact of Kubernetes drift until they’re managing multiple clusters and face skyrocketing costs, delayed fixes, and downtime. Drift can lead to inefficiencies and even critical security risks. That’s why it’s crucial to understand and proactively address drift at scale.

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. Most Kubernetes clusters have reliability risks lurking just below the surface. You could spend hours or even days manually finding these risks, but what if someone could find them for you? With Detected Risks, Gremlin automates the work involved in finding and tracking reliability risks across your Kubernetes clusters. Surface failed Pods, mismatched image versions, missing resource definitions, and single points of failure, all without having to run a single test.