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Articles by Miguel Luna

Videos

Elastic Observability 8.15: AI Assistant, OTel, and log quality enhancements

Introducing Elastic Observability 8.15: Elastic Distribution for OTel Collector, native OTLP profiling, AI Assistant support for Google Vertex (Gemini 1.5 Pro model), LLM observability for Azure OpenAI, and logs data set quality improvements.

Videos

Elastic Observability 8.9: Introducing AI Assistant and up to 70% cost savings on metrics storage!

Elastic Observability 8.9 introduces new AI Assistants for APM, logs, hosts, alerts, and profiling. In addition, new Time Series Data Stream (TSDS)-ready Elastic Agent integrations unlock storage efficiencies optimizing storage cost by up to 70%.

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Up to 70% metrics storage savings with TSDS enabled integrations in Elastic Observability

Elastic Observability’s popular integrations now use the cost-efficient time series index mode for metrics by default. Save up to 70% on storage costs for Kubernetes, Nginx, System, AWS, Azure, RabbitMQ, Redis, and more TSDS enabled integrations.

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Challenges of observing Kubernetes: Understanding a complex and dynamic system

Kubernetes can be an important part of your cloud deployment, but the same capabilities that make it resilient and robust can pose challenges when something does go wrong. Learn about what IT operations teams often face when managing Kubernetes.

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Elastic Observability 8.7: Enhanced observability for synthetic monitoring, serverless functions, and Kubernetes

Elastic Observability 8.7 introduces a new user experience for working with synthetics monitors, distributed tracing for Azure Functions, and monitoring for Google Kubernetes Engine (GKE) Autopilot clusters.

Videos

The basics of observing Kubernetes: A bird-watcher’s perspective

Observing Kubernetes deployments can be a challenge for an SRE or IT operations professional, but it all starts with the basics: knowing which components are observable, what can be observed, and how to understand and use that telemetry data.