Webinars and Videos

Learn how Log Patterns in OpenObserve automatically clusters massive volumes of logs to quickly detect anomalies and reduce troubleshooting time

Manas SharmaDeveloper Advocate

This video explains the need for observability in complex AI/LLM applications and demonstrates how to monitor them using tools like OpenObserve and OpenTelemetry. It covers key metrics such as traces, latency, token usage, cost, and logs, along with practical dashboards and visualization techniques for debugging and performance optimization.

Simran KumariDeveloper Advocate

OpenObserve simplifies production debugging by correlating logs, traces, and metrics in one place, enabling faster root cause analysis without switching between tools

Manas SharmaDeveloper Advocate

Learn how to redirect Datadog metrics, logs, and traces to OpenObserve using simple configuration changes—without modifying application code. The video covers multiple instrumentation approaches, including OpenTelemetry and Datadog-native setups.

Manas SharmaDeveloper Advocate

A comparison of OpenObserve and Datadog focusing on how their architectures impact cost, performance, and usability. It highlights Datadog’s indexing-heavy, multi-product approach versus OpenObserve’s unified, schema-on-read design.

Simran KumariDeveloper Advocate

OpenObserve is a high-performance, unified observability platform built with Rust and Apache Parquet that simplifies logs, metrics, and traces for modern (AI-driven) systems

Jake SwissMarketing

See how Incidents in OpenObserve turns hours of manual incident investigation into minutes of AI-powered root cause analysis.

Manas SharmaDeveloper Advocate

OpenObserve’s SRE Agent uses LLMs to automatically correlate alerts, logs, metrics, and traces, giving teams a unified view of incidents. It surfaces dependencies, patterns, and RCA insights in minutes reducing investigation time and improving response quality.

Shraddha Kishan TripathiBackend Engineer

Manas SharmaDeveloper Advocate

This session explains Full Stack Observability—a comprehensive approach to monitoring systems across multiple layers, including infrastructure, network, backend services, data, and user experience. It highlights how combining metrics, logs, and traces enables faster issue detection and better system visibility

Simran KumariDeveloper Advocate

A session by Shrinath Rao explaining how to build an autonomous QA system using a “Council of Subagents.” It demonstrates how AI-driven roles (like orchestrators, analysts, and engineers) collaborate to automate software testing, improve coverage, and keep pace with rapid development.

A quick walkthrough showing how Open Observe simplifies alert creation from dashboards—reducing setup time from around 10 minutes to under a minute by automating key steps like field population, thresholds, and evaluation settings

Simran KumariDeveloper Advocate

An overview of integrating AI tools using the Model Context Protocol (MCP), demonstrating how to query observability data (logs, metrics, traces) with natural language and automate workflows. Includes setup, configuration, testing, and practical use cases.

Simran KumariDeveloper Advocate

OpenObserve Pipelines lets you filter, transform, enrich, and route telemetry before storage—helping reduce noise, cut costs, and turn raw data into actionable insights in real time.

Uddhav DaveBackend Engineer

Simran KumariDeveloper Advocate

A hands-on tutorial that explains how to build and manage Open Observe pipelines, covering real-time and scheduled data processing, visual pipeline creation, and data transformation using VRL.

Simran KumariDeveloper Advocate

A step-by-step tutorial on creating and managing dashboards in OpenObserve. It covers importing dashboards, building custom panels, using SQL and PromQL, and visualizing logs, metrics, and traces for real-time insights.

Simran KumariDeveloper Advocate

How SLO-based alerting helps teams cut noise, focus on real user impact, and build smarter alert policies using OpenObserve with OpenTelemetry.

Simran KumariDeveloper Advocate

Manas SharmaDeveloper Advocate

How OpenObserve uses AI-powered alert correlation to reduce noise, connect related events, and speed up incident response while evolving toward practical AIOps.

Shraddha Kishan TripathiBackend Engineer

Manas SharmaDeveloper Advocate

An introduction to converting logs into metrics using OpenObserve. It explains the differences between logs and metrics, why logs alone don’t scale efficiently, and demonstrates how to build pipelines that transform log data into actionable metrics for dashboards and alerts

Simran KumariDeveloper Advocate

A practical walkthrough of creating, customizing, and managing dashboards in Open Observe, including panels, queries, imports, and automated reporting.

Simran KumariDeveloper Advocate

Explore modern observability with industry experts, learn how OpenTelemetry (OTel) enables effective collection and use of metrics, logs, and traces, and discover best practices for building reliable systems.

Chaitanya Sistla Principal Solutions Architect

Simran KumariDeveloper Advocate

A practical tutorial on debugging real-time pipelines in OpenObserve. It walks through pipeline setup, applying transformations, identifying errors, and using usage reporting to troubleshoot data processing issues effectively.

Simran KumariDeveloper Advocate

Learn how to protect sensitive information in logs using Open Observe’s Sensitive Data Reduction feature. The video demonstrates how to detect and redact data such as passwords, tokens, emails, and credit card numbers through simple configuration without external tools.

Simran KumariDeveloper Advocate

A beginner-friendly overview of the OpenTelemetry pipeline, explaining how telemetry data flows through receivers, processors, and exporters to enable effective observability.

Simran KumariDeveloper Advocate

A concise introduction to OpenTelemetry, explaining how it standardizes the collection of logs, metrics, and traces. It highlights its key components (APIs, SDKs, collectors) and why it is essential for modern observability.

Simran KumariDeveloper Advocate

Automate dashboard reporting with OpenObserve by converting dashboards into PDF reports and delivering them via email. This video demonstrates how to schedule, configure, and distribute reports efficiently using the report server

Simran KumariDeveloper Advocate

An introduction to observability, explaining how it differs from traditional monitoring and how logs, metrics, and traces provide full system visibility

Simran KumariDeveloper Advocate

Learn the basics of Custom Charts in OpenObserve, from picking a datasource to writing queries and turning results into clean, actionable visuals.

Manas SharmaDeveloper Advocate

This video shows how to correlate logs and traces within the OpenObserve platform.

Prabhat SharmaCEO | Founder

This video walks through creating a dashboard for trace duration analysis.

Chaitanya Sistla Principal Solutions Architect

Discover OpenObserve, the lightweight, petabyte scale observability platform that helps slash observability costs while unifying logs, metrics, traces, and front-end monitoring in a single interface.

Prabhat SharmaCEO | Founder