Blogs
Hands-on, insight-driven content about observing your production and development environments using Elastic Observability.
Trace your Azure Function application with Elastic Observability
Serverless applications deployed on Azure Functions are growing in usage. This blog shows how to deploy a serverless application on Azure functions with Elastic Agent and use Elastic's APM capability to manage and troubleshoot issues.
How to use Elasticsearch and Time Series Data Streams for observability metrics
With Time Series Data Streams (TSDS), Elasticsearch introduces optimized storage for metrics time series. Check out how we use it for Elastic Observability.
Root cause analysis with logs: Elastic Observability's AIOps Labs
Elastic Observability provides more than just log aggregation, metrics analysis, APM, and distributed tracing. Our machine learning-based AIOps capabilities help you analyze the root cause of issues allowing you to focus on the most important tasks.
Monitoring service performance: An overview of SLA calculation for Elastic Observability
Elastic Stack provides many valuable insights for different users, such as reports on service performance and if the service level agreement (SLA) is met. In this post, we’ll provide an overview of calculating an SLA for Elastic Observability.
Monitor OpenAI API and GPT models with OpenTelemetry and Elastic
Get ready to be blown away by this game-changing approach to monitoring cutting-edge ChatGPT applications! As the ChatGPT phenomenon takes the world by storm, it's time to supercharge your monitoring game with OpenTelemetry and Elastic Observability.
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How to monitor Kafka and Confluent Cloud with Elastic Observability
This blog post will take you through best practices to observe Kafka-based solutions implemented on Confluent Cloud with Elastic Observability.
Monitoring Android applications with Elastic APM
Elastic has launched its APM agent for Android applications, allowing developers to track key aspects of applications to help troubleshoot issues and performance flaws with mobile applications, corresponding backend services, and their interactions.
Using Elastic to observe GKE Autopilot clusters
See how deploying the Elastic Agent onto a GKE Autopilot cluster makes observing the cluster’s behavior easy. Kibana integrations make visualizing the behavior a simple addition to your observability dashboards.
Elastic Synthetics Projects: A Git-friendly way to manage your synthetics monitors in Elastic Observability
Elastic Observability can easily integrate into your DevOps git flow when managing applications with synthetics. Our new Synthetics Projects will enable you to develop and manage synthetics monitor configurations written in YAML with git.
Trace-based testing with Elastic APM and Tracetest
Want to run trace-based tests with Elastic APM? We're happy to announce that Tracetest now integrates with Elastic Observability APM. Check out this hands-on example of how Tracetest works with Elastic Observability APM and OpenTelemetry.
Root cause analysis with logs: Elastic Observability's anomaly detection and log categorization
Elastic Observability provides more than just log aggregation, metrics analysis, APM, and distributed tracing. Elastic’s machine learning capabilities help analyze the root cause of issues, allowing you to focus your time on the most important tasks.
Two sides of the same coin: Uniting testing and monitoring with Synthetic Monitoring
DevOps aims to establish complementary practices across development and operations. See how Playwright, @elastic/synthetics, GitHub Actions, and Elastic Synthetics can unite development and SRE teams in validating and monitoring the user experience.