Powerful, interactive search

Experience near-instant response for searches over massive data volumes and long time periods. Analyze the entire range, or the “gamut” of your log data, in a highly interactive fashion.

Perform full-­text searches, searches by individual fields, ranges, and booleans without learning a proprietary query language.

Surround search

What happened just before or just after?

With a single click, view the surrounding events that occurred just before or after critical events across the entire distributed stack.

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Better log management wasn’t something I initially thought of as a benefit of switching to Docker. But the combination of Docker and Loggly is very powerful.

John Kelvie Chief Technology Officer, XAPPmedia

Loggly Dynamic Field Explorer™

The hardest problems to fix are the ones that you least expect to happen. With Loggly Dynamic Field Explorer™, you’re never starting from a blank slate. It summarizes all of your log data as it’s received and lets you gain insight before setting up a single query. Spot unusual event counts or outliers and drill down into the relevant data with a few mouse clicks.

One-click access to source code in GitHub

Within the Loggly interface, view the corresponding file and line in your source code from GitHub, based on filenames in stack traces. Support for Java, JavaScript, and Python application logs. See recent commits on those files and know which person on your team made recent changes.

Streamlined tracking with Atlassian Jira Software and GitHub

Streamline the process of filing tickets in Atlassian Jira Software or GitHub from directly within Loggly with a single click, automatically adding relevant information from your log data analysis and pre-populated fields.

You no longer have to switch between tools and manually type or paste information. Stay focused, get the best out of both tools, and save time doing so.

Live Tail

See all of your logs across all of your systems in real time. Use filtering and color coding to focus on logs of interest. It’s like tail -f, but easier to use and more powerful. And it doesn’t require you to log into remote systems.

Loggly Live Tail is available through our web application or via a command-line client for Linux, Windows, or Mac. You can also send log streams to collaboration tools like HipChat or Slack.

Custom parsing rules and tags

Need to refine Loggly’s built-in parsing rules or parse custom log formats?

Loggly not only makes it easy to define custom parsing rules through Loggly Derived Fields but also allows you to inject metadata tags based on your rules. This opens new and smart possibilities for processing your logs further.

Logs can also be divided into Source Groups, for example, to separate production, staging, and development environments within the same Loggly account.

  • Proactive monitoring

    View app performance, system behavior, and unusual activity across the stack. Monitor key resources and metrics and eliminate issues before they affect users.

  • Data analysis and reporting

    Analyze and visualize your data to answer key questions, track SLA compliance, and spot trends. Loggly simplifies investigation and KPI reporting.

  • DevOps integrations

    Work better as a team using data and analysis within DevOps tools. Loggly integrates with Slack, HipChat, GitHub, Jira, New Relic, PagerDuty, and more.

  • Loggly for enterprises

    Choosing Loggly means obtaining security that is ISO 27001, SSAE16 SOC-1 Type II, and SOC-2 Type II certified. Our multi-tenant SaaS provides scalability, flexibility, and availability to meet the highest standards while keeping TCO low.

How Loggly works

Agent-free log collection makes setup simple and fast. If it logs, it can log to Loggly.

Speed up MTTR now.

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