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LOG MANAGEMENT AND ANALYTICS
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Proactive Log MonitoringTroubleshooting and Diagnostics with LogsSecurity and ComplianceLog Analysis and ReportingDevOps IntegrationsLoggly for Enterprise ScaleDevOps Products

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SUPPORTED LOG SOURCES

Android Docker Nginx Linux Apache .NET Python PHP Syslog AWS CloudTrail Heroku Tomcat Syslog endpoint DigitalOcean IIS Kubernetes MySQL Docker Network devices and routers Windows system logs Java Node.js Javascript
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Using Loggly Product Documentation API Loggly Library Catalog Sending Logs to Loggly Ultimate Guide to Logging Troubleshooting

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What makes Apache logging so challenging?

Logging in a distributed setup is not simple

In a production environment, most organizations have multiple servers, and analyzing all the logs in real time becomes difficult. Teams also cannot rely on local systems. During peak hours, Apache logs can snowball in no time.

Troubleshooting Apache logs can take a lot of time

Most traditional Apache log analyzers are not equipped to handle modern workloads. Teams can struggle to get search results, as these tools become painfully slow when searching through large chunks of log data.

Multiple tools are required for Apache monitoring

With traditional tools, there is no easy way to analyze text logs, and lengthy scripts are required to configure open-source tools for charts, alerts and other features for troubleshooting. Managing all these tools is a hassle.

Centralize all your Apache logs with Loggly

As a cloud-based centralized logging and analytics service, SolarWinds® Loggly® simplifies log management in modern distributed setups. With Loggly, you can aggregate all your logs in one place and correlate them to get a bird’s-eye view of your infrastructure and applications.

Moreover, unlike other logging tools, configuring Loggly doesn’t require lengthy scripts and you can get started quickly. It has an agentless architecture which simplifies log collection. You can send Apache logs to Loggly using Syslog daemons such as rsyslog. Furthermore, as your logs go past the retention period, Loggly automatically archives them on AWS S3 buckets. This helps you maintain these logs for compliance or other purposes.

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Get to the root cause of issues quickly

In a fast-paced DevOps environment, your team can struggle to resolve application issues if it does not have the proper tools to analyze logs. Most traditional tools tend to slow down when searching through older log files. Loggly solves these challenges with its powerful search that provides near-instant results for your queries.

It offers automated parsing for most common log types and provides a structured summary of the parsed logs in its dynamic field explorer. With this explorer, you can seamlessly click and browse through the logs, without the need to resort to the console. Additionally, the Loggly GitHub integration significantly improves troubleshooting by making it possible to view the source code related to a Loggly event in a single click.

Interactive dashboards 2

Simplify log monitoring with charts and dashboards

Loggly helps you get quick insights about the health and performance of your Apache servers with unified charts and dashboards. These charts simplify Apache monitoring by letting you easily plot key metrics and visualize search results, to identify hidden patterns and anomalies.

They can also be grouped together to build a unified dashboard. You can download these dashboards as a PNG image and share it with your team via tools like Slack or email. All of these features will help keep your team on top of your distributed environment and resolve issues collaboratively.

Create an account and start logging immediately

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Syslog Viewer Javascript Logging Haproxy Logging Azure Log Analytics Spring Logging Kubernetes Monitoring