Operations | Monitoring | ITSM | DevOps | Cloud

In today’s fast-paced technology landscape, creating a robust developer platform is essential for streamlining software development processes and ensuring efficient collaboration across teams. In this talk, we will explore how you can build your own developer platform in just 90 minutes using a powerful combination of Backstage, ArgoCD, and Kubernetes (K8s).

Learn how to access and use Docker logs to monitor, troubleshoot, and improve your containerized apps in this simple guide for developers.

Sometimes, even when you’re running on a solid infrastructure like AWS EKS, a growing company needs to rethink how they manage it. One startup, fresh off a successful Series A raise, found themselves in just that situation. They had been running two EKS clusters — Production and Staging — managed entirely by their CTO, who is an experienced AWS power user.

As organizations increasingly turn to Kubernetes to support their cloud-native applications, it has become critical for teams to analyze and respond to the dense telemetry data related to this orchestration layer.

Kubernetes popularity continues to grow, with over 60% of organizations maintaining multiple Kubernetes across diverse environments and teams in some capacity. However, as clusters multiply, so do operational challenges: from monitoring hundreds of microservices to responding to and escalating incidents across distributed systems.

Let’s be honest: setting up Kafka monitoring on Kubernetes can feel like you’re trying to solve a puzzle without all the pieces in place. Between connectivity snags, configuration issues, and keeping tabs on resource usage, it’s easy to feel like you’re constantly firefighting. But tackling these issues head-on with a few go-to solutions can save a lot of headaches down the road.

Monitoring provides real-time insights into containerized applications' performance, resource utilization, and overall health. It allows organizations to identify bottlenecks, track resource allocation, detect anomalies, and ensure optimal performance of their containerized infrastructure. Let's explore the world of container monitoring software and discover the leading options that empower you with the necessary tools to monitor and optimize your containers effectively in 2025.

As teams adopt Kubernetes at greater scale, they face increased complexity in keeping their growing list of workloads and services up and running. Achieving the visibility and context needed to detect and resolve incidents quickly is difficult amid a constant flood of telemetry data and alerts. Furthermore, Kubernetes expertise often remains siloed in DevOps and infrastructure teams.

Migrating a Kubernetes cluster from a self-hosted environment to Amazon EKS (Elastic Kubernetes Service) offers considerable operational benefits—but this transition also brings challenges in reliability, compliance, and observability. By leveraging Cortex Scorecards, teams gain clear insights and structured benchmarks to simplify and improve the migration process. Here’s how Cortex Scorecards can make your EKS migration efficient and resilient.