Log data is constantly being generated by software, web servers, programming languages and services your business uses on a daily basis.

Effective log analysis and management is used to consolidate thousands of petabytes of this vital performance data for DevOps professions, system administrators and C-level decision-makers to drive change across cutting edge data-driven companies.

Many free log management and analysis tools that are built upon open-source software are shown to be ineffective when it comes to informing large scale business growth across distributed systems due to their lack of flexible features.

At Logit.io, we understand that being able to identify critical log events fast is essential to helping your engineers be the best that they can be. By using the Logit.io Log analytics tool, you can correlate key events for error resolution, alerting and system log monitoring.

In comparison to free log analysis tools that aren’t built to ensure their user’s data sovereignty, Logit.io also provides regional data centres for users that need to ensure localised compliance.

What is Log Analysis?

Log analysis is an umbrella term that describes the processes undertaken for generating, parsing, and centralising log entries so that users are able to easily gain insights into the health and performance of their operating systems, software, network devices, and applications.

By using log management and analysis tools, teams can improve their capability for troubleshooting, security, and performance enhancement of their vital systems.

Effective log file analysis tools share many things in common with centralised log management tools as both solutions include bringing together data from applications, services and hosts into a single platform for further refinement and storage.

Once individual data points are parsed and centralised, Chief Technology Officers, Business Analysts, Senior Software Engineers, and DevOps team members can then extract valuable insights to improve performance through data visualisations and reports.

It is important to remember that some of this data, especially server logs and event logs, while vital to track, may lead to high volumes of data being created so it is important to make sure that the simple log analyser you consider using now can be scaled affordably for more demanding services and production environments in the future.

The Logit.io log analyser is included as part of our complete log management platform, allowing your team to go beyond rudimentary log file analysis and reap the benefits of complete infrastructure, cloud service and container monitoring.

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Why use Log Analysis?

Log analysis tools are essential for checking the log files created by servers, network devices, programming languages and containers on a daily basis for error resolution, performance monitoring and security analytics.

Without regular inspection of logs with a log file analysis tool, your technical team and security engineers could easily miss out on flagging suspicious traffic and event logs generated by bad actors before these become much larger security breaches.

The Logit.io log analysis tool was formed as the result of taking the best open-source log analysis software available (e.g; ELK Stack & Open Distro for Elasticsearch) and combining them with the added security, compliance and high availability that our users need.

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hosted logging stackshosted logging stacks

BYO (Build Your Own) Vs Managed/Hosted Log Analytics Platforms

The majority of inhouse log file viewers built upon open source tools require installation, upgrades and setup to be done by trained in-house staff, this rapidly makes managing logs inline with a growing business highly resource-intensive and increasingly expensive over time. Require a more specific log file viewer then why not find out more about our Apache log file viewer?

Logit.io is built upon the open source analysis capabilities offered by the Elastic Stack without requiring our users to become experts on Elasticsearch and Kibana to rapidly improve their time to resolution and centralise all organisational log data.

Without a managed Elastic Stack service such as Logit.io, challenges are often encountered when it comes to installing and upgrading the Elastic Stack inline with new projects and large scale operations as it can be highly difficult to scale these tools in line with your data output.

This is why using Logit’s hosted ELK for log analysis gives you the best of both worlds as an affordable and comprehensive data analysis and log management platform.

Using Logit.io for Log analysis

Logit.io provides a complete log platform that makes the process of log data analysis, reporting and monitoring of critical performance issues far less tedious, time-consuming and ineffective in comparison to typical open source log file analytics solutions.

Our platform also does not lock in your data as we allow all logs to be exported freely for external processing in a service of your choice.

We also provide customizable and pre-configured real-time alerts that give you the visibility to know as soon as an error occurs within your applications and services.

Real-time alerts significantly reduce the time needed to detect and address a problem.

Logit.io is fully integrated to send alerts to a range of third party messaging channels including Opsgenie, Slack, Jira, Pagerduty, VictorOps, and ServiceNow.

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You're in good company

Ringier testimonial

"Shortly after deploying Logit.io, we were able to show the results and impact. The speed at which we were able to deploy the solution was phenomenal. The ELK stack was providing results from very early on.

We can now better understand our security measures and our network. Our decisions can be made with data to back them up. We have a better understanding of the health of our systems."

IT Security Officer - Ringier

Compliance and securityCompliance and security

Log Analysis For Ensuring Compliance

Security logs can capture sensitive information on user behavior and sessions as well as other factors which could lead to probable identification.

With these considerations in mind, it is important for organizations to ensure that any tool they consider for log processing and analysis are compliant with the company’s wider privacy and security principles.

All data transfers to the Logit.io platform are protected by Transport Layer Security (TLS). The platform is also ISO/IEC 27001:2013 certified as well as being GDPR, HIPAA and SOC2 compliant. Additionally Logit.io is also a PCI compliant service provider.

We also offer internal controls to stop your data from being accessed by the wrong team members through role-based access controls and Managed Open Distro‘s Kibana read only & Dashboard read only roles with index, document and field level access restrictions.

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Extensive Data Sources & Integrations

Our managed service allows you to use our configuration guides for shipping data from hundreds of log sources and tools you already use daily.

Logit’s configuration guides for lightweight shippers (such as Heartbeat , Auditbeat and Filebeat ) fully automate the collection of your application, network, and high-performance server metrics.

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Integrations and data sources

Visualise and Report

Use visualisations and dashboards to provide context and visibility of end-to-end business processes, allowing you to leverage your data for unified monitoring.

Analyse hybrid, public, and private cloud logs and metrics fast with our out of the box Kibana dashboards or explore a suite of custom options for added insights on your application data.

Benefits Of Log Analysis:

  • Unlimited Users
  • Live Tailing
  • Free Platform Upgrades
  • Event Log Analysis
  • Application Log Analytics
  • Correlation analytics
  • Root cause analysis
  • Log collector
  • Syslog Viewer
  • Real-Time Alerts & Alert Notifications
  • Fully Transparent Pricing
  • Logging as-a-Service
  • No Data Egress Fees
  • No Vendor Lock-in
  • Archive & rollback
  • Auto-scaling
  • Audit log
  • Two-factor authentication
  • log analysis benefits

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