Operations | Monitoring | ITSM | DevOps | Cloud

Containerization platforms have evolved beyond Docker's initial implementation, offering specialized solutions for diverse enterprise requirements. Modern container runtimes focus on enhanced security models, optimized resource utilization, and seamless integration with cloud-native architectures. This analysis examines key alternatives that address Docker's technical limitations and provide advanced features for production workloads.

LLM observability is key to ensuring model performance. Learn its importance, best practices, and actionable steps for optimal results and reliability.

Choosing the right container engine for your infrastructure stack is a critical architectural decision. While both Podman and Docker implement OCI (Open Container Initiative) standards, their fundamental approaches to container management and runtime architecture create distinct operational characteristics.

These days, one of the most important decisions that organizations can make as it relates to their observability strategy is: “How much data do we want to retain in Hot storage to ensure we have everything needed for real time analysis — without running up associated costs?”

SolarWinds just dropped a whitepaper, From Monitoring to Mastery: Optimizing Database Performance With Observability. Among the highlights is a breakdown of the four most critical components of database observability. Has your organization got these covered?

We’re always interested in improving the signal-to-noise ratio of our internal telemetry at Honeycomb. In an effort to reduce the amount of noise in our logs, we looked at reducing and deduplicating the logs emitted by our infrastructure and applications.

The Kubernetes ecosystem is undergoing a significant transformation, and the trends emerging at KubeCon highlight just how dynamic this space has become. Traditional Application Performance Monitoring (APM) providers are rapidly shifting focus to Kubernetes Performance Monitoring (KPM), reflecting the growing need for specialized observability in increasingly complex environments.

In cloud-native environments, observability is key to ensuring the health, performance, and stability of distributed systems. Observability helps developers and operations teams understand how their systems behave in real time, helping diagnose issues, optimize performance, and meet service-level agreements.