Log Management | Datadog

Best practices for creating detection rules with Datadog Cloud SIEM

Learn how to create detection rules that enable you to efficiently identify and respond to security threats in ...

Build a modern data compliance strategy with the Datadog Sensitive Data Scanner

Learn how the Sensitive Data Scanner helps you discover, classify, and protect sensitive data in your logs, so ...

Historical log analysis and investigation with Online Archives

Learn how Online Archives provides easy historical log analysis and investigation with 15-month retention and ...

Best practices for collecting and managing serverless logs with Datadog

Learn how you can streamline the collection and management of logs from your AWS serverless environments with ...

Monitor AWS FSx audit logs with Datadog

Learn how Datadog helps you analyze your Amazon FSx for Windows File Server audit event logs for file access ...

Monitor Vercel Serverless Functions with Datadog

Learn how to use Datadog to monitor your Vercel-powered sites.

Monitor real-time Salesforce logs with Datadog

Learn how Datadog collects Salesforce real-time events to help you monitor your environment's security and ...

Best practices for monitoring dark launches

A dark launch is a deployment strategy for testing new versions of a service in production. Learn how to get ...

Monitor Cloudflare logs and metrics with Datadog

Learn how to use Datadog to monitor your Cloudflare logs, Workers, and load balancing metrics.

How Datadog's IT Team Automated Monitoring Third Party Accounts

Employees at all modern software companies use a ton of outside pieces of software to do their jobs. Learn how ...

How to monitor HashiCorp Vault with Datadog

Learn how to use Datadog to monitor HashiCorp Vault metrics and logs.

Best practices for monitoring Microsoft Azure platform logs

Learn how to get the most out of your Microsoft Azure platform logs and use them to secure your applications.

Augmented troubleshooting with Watchdog Insights

Watchdog Insights surfaces clues and helps reduce MTTR—and now supports Log Management.

How to collect metrics and logs from AWS Fargate workloads

Collect ECS Fargate and EKS Fargate metrics and logs with these tools.

Use Datadog geomaps to visualize your app data by location

Learn how geomaps can help you identify problems and guide decision-making using country codes.

Group your logs to analyze processes with Log Transaction Queries

Learn how to use Datadog’s Transaction Queries feature to combine log events with shared attributes into ...

Key Kubernetes audit logs for monitoring cluster security

Learn some of the key Kubernetes API server audit logs that can help you detect potential threats to your ...

Best practices for monitoring authentication logs

Learn how to monitor authentication logs across your entire environment to more easily identify security ...

Collect and monitor Microsoft 365 audit logs with Datadog

Learn how our integration gives you a deeper level of insight into the security and performance of your Microsoft 365 services.

How to collect VMware vSphere metrics

Learn what tools you can use to gain visibility into your vSphere infrastructure.

How to monitor vSphere with Datadog

Use Datadog to visualize and alert on every layer of your vSphere infrastructure.

Expand your monitoring reach with Datadog's enhanced Azure integration

Learn about the newest updates to Datadog's Azure integration

Monitor Oracle Cloud logs with Datadog

Collect and analyze Oracle Cloud logs with Datadog for more insight into your Oracle Cloud Infrastructure.

Manage CloudFront real-time logs in Datadog

Use Datadog to analyze real-time logs from your CloudFront distribution.

Datadog monitors Amazon Route 53

Get insights into your Amazon network’s Route 53 DNS traffic with Datadog.

Add more context to your logs with Enrichment Tables

Learn how to use Enrichment Tables to connect business-critical data to your application logs for faster ...

Monitor Auth0 with Datadog

Enable Datadog's Auth0 integration to monitor logs for potential security threats.

Best practices for monitoring AWS CloudTrail logs

Learn how to get the most out of your AWS CloudTrail audit logs.

Tags: set once, access everywhere

Learn how to easily connect infrastructure metrics with traces and logs from all of your services with unified ...

Monitor Alcide kAudit logs with Datadog

Learn how Datadog's integration with Alcide kAudit gives you more visibility into your Kubernetes environment.

Zero instrumentation serverless observability with AWS SAM and CDK integrations

Learn how you can use Datadog's integrations with AWS SAM and CDK to automatically collect metrics, traces, ...

Stream logs to Datadog with Amazon Kinesis Data Firehose

Learn how to easily stream your AWS service logs with Amazon Kinesis Data Firehose and Datadog.

HIPAA-compliant log management for health information systems

Datadog's HIPAA-compliant log management solution enables healthcare organizations to securely capture audit ...

How to categorize logs for more effective monitoring

Learn how Datadog’s log processing pipelines can help you start categorizing your logs for deeper insights.

Monitor Carbon Black Defense logs with Datadog

Learn how Datadog can help you monitor your Carbon Black Defense logs and get full visibility into endpoint ...

Best practices for monitoring GCP audit logs

Learn how to monitor your Google Cloud audit logs for better visibility into GCP security with Datadog.

How to implement log management policies with your teams

Set log management policies with your teams to get the most visibility of your logs—with the least resource ...

Monitor Confluent Platform with Datadog

Monitor Confluent Platform components including connectors, REST proxy, and ksqlDB.

How to monitor Kubernetes audit logs

Learn how to use Kubernetes audit logs to debug issues and get clarity into your workloads.

Docker logging best practices

Learn to optimize Docker logging reliability and application performance.

Generate metrics from your logs to view historical trends and track SLOs

Learn how to use log-based metrics to avoid the difficulties of indexing and searching high-volume logs.

Monitor Google Workspace with Datadog

Proactively monitor Google Workspace user and administrative activity by analyzing and alerting on audit logs ...

Monitor MapR performance with Datadog

Learn how to monitor the performance of your core MapR Data Platform services with Datadog’s integration.

Collecting Amazon MQ metrics and logs

Collect and query Amazon MQ metrics via Amazon CloudWatch and the ActiveMQ Web Console.

Monitor your Fargate container logs with FireLens and Datadog

Learn how you can use FireLens for Amazon ECS to collect container logs generated by your Fargate tasks and ...

Centralize your logs with Datadog and Fluent Bit

Learn how you can use your existing Fluent Bit installations to route all of your logs to Datadog for ...

Monitor Java memory management with runtime metrics, APM, and logs

Learn how to detect memory management issues with JVM runtime metrics, garbage collection logs, and alerts.

Efficiently retrieve old logs with Datadog's Log Rehydration™

Learn how to restore, search, and analyze your archived logs using Datadog's Log Rehydration™.

How to collect, customize, and centralize Node.js logs

Learn some best practices for collecting and customizing logs from your Node.js applications.

How to collect and manage all of your multi-line logs

Learn how to properly collect your multi-line logs and get the most out of them.

Monitor Okta logs to track system access and unusual activity

Learn how you can use Datadog's Okta log integration to monitor system access and detect suspicious activity ...

Troubleshoot .NET apps with auto-correlated traces and logs

Datadog automatically links your .NET logs and request traces, so you can get full context about user-facing ...

Monitor Apache Ambari with Datadog

Monitor Ambari with Datadog to help ensure your Hadoop clusters run smoothly.

Unify logs across data sources with Datadog’s customizable naming convention

Our common schema standardizes your log data so you have full coverage of your infrastructure.

Monitor JavaScript console logs and user activity with Datadog

Track errors and user events in context with backend metrics, traces, and logs.

Introducing Metrics from Logs and Log Rehydration™

Generate metrics from all of your logs and reload logs from archives with our latest additions to Logging ...

Monitor IBM DB2 with Datadog

Monitor IBM DB2 with Datadog to see where you can optimize your buffer pools and improve query performance.

How to collect, customize, and analyze PHP logs

Learn how to capture PHP exceptions and use the Monolog library to expand your PHP logging.

Monitor Twistlock with Datadog

Datadog's new integration with Twistlock allows you to monitor security and compliance alongside your ...

Correlate request logs with traces automatically

Datadog automatically links your distributed request traces to logs from the same transaction for end-to-end ...

How to collect, customize, and centralize Python logs

Learn how to use these Python logging best practices to debug and optimize your applications.

Collect Google Stackdriver logs with Datadog

Collect Google Stackdriver logs with Datadog for greater insight into your GCP infrastructure.

Tools for collecting Amazon EKS metrics

Learn how to gather Kubernetes cluster and AWS service metrics from your EKS infrastructure.

How to collect, customize, and standardize Java logs

Use these Java logging tips and best practices to get deeper insight into your Java applications.

How to collect, standardize, and centralize Golang logs

Pick the best logging package for your project and achieve centralized, consistent logs.

Collect Amazon DocumentDB metrics and logs with Datadog

Get full insight into your Amazon DocumentDB clusters with Datadog.

How to collect, customize, and analyze C# logs

Learn how to get more insights into your .NET applications by following these C# logging best practices.

Monitoring MEAN stack applications with Datadog

Learn how to monitor your MEAN stack application and its underlying infrastructure with Datadog.

2018 year in review

A recap of some of the new features, integrations, and resources that Datadog added in 2018.

Improving trust with Datadog Log Management

Integrating Amazon Simple Email Service with Datadog to improve observability.

Log Patterns: Automatically cluster your logs for faster investigation

The new Log Patterns view helps you quickly interpret your logs and refine your log management setup.

Log analytics and dashboarding in Datadog

Advanced log analytics in Datadog enables you to seamlessly unite your log data with metrics from your ...

Collecting and monitoring Rails logs with Datadog

See how you can monitor, analyze, and correlate your Rails application logs with Datadog.

How to collect, customize, and manage Rails application logs

Learn how to use built-in logging features and the Lograge library with Rails applications.

IIS monitoring with Datadog

Learn how to use Datadog for IIS monitoring.

Introducing Logging without Limits™

Learn how to to cost-effectively collect, explore, and archive logs.

Monitoring Flask apps with Datadog

Integrate your Flask app with Datadog to collect metrics, logs, and traces.

Monitoring Rails applications with Datadog

Learn how to monitor your Rails application and its underlying infrastructure with Datadog.

Monitor SQL Server performance with Datadog

Spot SQL Server performance issues using metrics, tracing, and log management.

Monitoring Django performance with Datadog

Monitor Django performance for applications running on NGINX, Gunicorn, and PostgreSQL

Announcing log processing and analytics in Datadog

Powerful log management has now been fully integrated into the Datadog platform.

Datadog acquires Logmatic.io

We have added log processing and analytics to Datadog, through our acquisition of Logmatic.io.

How to collect Apache performance metrics

Learn how to collect metrics from your web servers, using native and open source tools.

How to monitor Apache web server with Datadog

Learn how to use Datadog to monitor Apache web server metrics.

NGINX 502 Bad Gateway: Gunicorn

Learn to resolve 502 errors in your NGINX/Gunicorn stack.

NGINX 502 Bad Gateway: PHP-FPM

Learn to resolve 502 errors in your NGINX/PHP-FPM stack.

Monitor ActiveMQ Artemis and Classic with Datadog

Datadog provides ActiveMQ Classic and ActiveMQ Artemis performance monitoring with a single integration.

How to monitor Elasticsearch with Datadog

You've learned about the key Elasticsearch metrics, and how to collect them natively. Now see how easy it is ...

Metrics and logs: Datadog + Sumo Logic

Monitor and alert on Sumo Logic performance with Datadog.

Monitoring Kafka with Datadog

Learn to use Datadog to collect metrics, logs, and distributed request traces from Kafka and ZooKeeper.

Monitor HAProxy with Datadog

Go beyond ad-hoc metric inspection and monitor HAProxy with Datadog to integrate and correlate metrics across ...

Monitor Redis using Datadog

Learn how to use Datadog to monitor Redis metrics, traces, and logs.

How to monitor Fluentd with Datadog

Fluentd is a versatile tool to collect application and server logs. Learn how to visualize and monitor Fluentd ...

Monitor Fastly performance with Datadog

Learn how Datadog's Fastly integration enables you to visualize, analyze, and alert on Fastly metrics and ...