Operations | Monitoring | ITSM | DevOps | Cloud

Your Kubernetes environment feels perpetually sluggish. Applications that once met performance benchmarks and service-level agreements are now struggling to keep up and operating costs continue to rise. With no clear indicators, you’re left sifting through application logs and dependencies for a root cause.

We’re excited to introduce the enhanced Lumigo Kubernetes Operator, now more powerful than ever. With just a quick installation, you gain comprehensive observability—bringing together logs, metrics, and traces in a single platform to provide deeper insights and faster troubleshooting. The improved Lumigo Kubernetes Operator unlocks cluster-wide visibility by collecting key infrastructure metrics and logs—allowing you to monitor, analyze, and optimize with minimal effort.

The promise of observing your application without writing code (i.e., auto-instrumentation) is not new, and it’s extremely compelling: run a single command in your cluster and suddenly application telemetry starts arriving at your observability backend. What else could you ask for? The OpenTelemetry Operator aims to fulfill such a dream for Kubernetes environments by using a set of well known patterns such as operators and custom resources.

Machine learning (ML) has shifted from being a niche research field to a powerhouse behind many technologies we use daily. From personalized recommendations on streaming platforms to chatbots and image recognition, ML’s influence is everywhere. But what exactly is machine learning, and why should you invest time in learning about it? This blog will walk you through ML’s fundamentals, explain what you need to know, and outline a practical step-by-step plan to start your ML journey.

As the demand for large language models (LLMs) and AI-powered applications continues to grow, businesses are facing challenges in scaling compute capabilities and managing costs. GPUs have become the cornerstone of AI innovation, but their integration requires scalable and efficient solutions tailored to enterprise needs.

Infrastructure management is critical for companies building and scaling applications. Traditional managed services (MSPs) handle these tasks externally but often come with high costs, slow execution, and limited flexibility. For teams needing control, speed, and efficiency, DevOps automation platforms might offer a much better alternative.

Managing TLS certificates in Kubernetes is no small feat, and the complexity only grows when you’re dealing with multiple clusters. Ensuring secure communication, automating certificate renewals, and integrating with external Certificate Authorities (CAs) are just a few of the challenges Kubernetes administrators, DevOps engineers, and security professionals face.

As businesses evolve in today’s digital landscape, the need for efficient and scalable computing resources has become paramount. In the early days of the Internet, large corporations would build or rent out large data centers to run their applications and serve customers. This was great as they could use dedicated hardware and expand as they pleased.