Operations | Monitoring | ITSM | DevOps | Cloud

Elasticsearch is a distributed search and analytics engine that provides real-time operations and scales Horizontally. This assists users in making quick and effective searches, as well as analyzing, and visualizing huge data volumes. Users commonly commend Elasticsearch for its data indexing and storage capabilities. They highlight its efficiency in indexing text data and its proficiency in managing large data sets for persistence and retrieval.

As a solutions engineer, I always handle the complex challenge of collecting IT and security data. The variety of modern ephemeral systems increases the complexity of collection requirements. Cloud, PCF, and Kubernetes emit metrics, logs, and traces through methodologies like Cloud Foundry’s Nozzle, Prometheus scrapers, and OpenTelemetry collectors. I often find all of these deployed in parallel in a single enterprise environment to meet the evolving needs of IT Ops or SecOps.

The guide discusses the essential components, challenges, popular tools, and advanced techniques that define effective log aggregation.

Late last year, Datadog announced something called Flex Logs, a “more affordable” warm storage tier for log data. Designed for high-volume datasets that are infrequently queried and don't require real-time analysis, the Flex Tier offers Datadog Log Management customers a third option for data storage.

Guide for kubectl logs with a cheat sheet. Learn to efficiently debug and monitor Kubernetes pods, from basic commands to advanced techniques.

That’s the assessment of Senior DevOps Engineer and Logz.io user Armin Morattab when discussing the impact of AI on his day-to-day job. He dives deep on AI, observability, and strategies for improving workflows with Logz.io Co-founder Asaf Yigal in our webinar, AI in Observability: Real Engineers Talk Real Uses Cases.

Your team is responsible for ensuring the reliability and performance of your organization’s critical applications and infrastructure. What keeps you up at night? Your applications are more complex, distributed and cloud-native than ever, meaning that understanding what’s happening under the hood has never been more complex than it is now. Is it system bugs, or data bottlenecks? Chasing alerts for latency or service degradation that may or may not be business-critical?

As a product manager for Cribl Stream, I enjoy listening to customer challenges and bringing new features and enhancements into the product to help reduce pain points and better enable customers.