Logit.io’s advanced application logging platform allows you to keep track of application data streaming from multiple data sources all in one place. With support for numerous programming languages, third-party tools, data formats, and platforms, you can monitor & analyse large volumes of data with ease.

Keeping track of data and log entries from multiple sources can easily get out of hand, especially if these are located across a distributed environment and in an unstructured logging format.

With the right application logging tool, such as the one offered by Logit.io, you can now host them and keep track of metrics, extract insights, discover trends and patterns, and receive alerts as events happen in real-time.

Our ELK as a Service backed application log file management is also highly flexible, allowing anyone with app data that they need to monitor to use it. From senior software engineers looking for insight into the performance and inner workings of their software to CTOs, businesses analysts, and cybersecurity experts auditing for weaknesses and vulnerabilities in your system.

calendar

Book A Demo

Want to request a demo or need to speak to a specialist before you get started? No problem, simply select a time that suits you in our calendar and a member of our technical team will be happy to take you through the platform and discuss your requirements in detail.

Book Your Demo
  • traels
  • gds
  • the_honest_co
  • murphy
  • de_banke

You're in good company

What are Application Log Files?

Application log files contain data and events that capture what has occurred within an app. The log entries are often tagged by the event category and importance level.

Depending on what you decide to track, your log files could contain anything from security events, user sessions, records of errors, metrics, and overall application performance, such as response time and crashes. These can also include the effects your software has on your system and how the CPU and memory are faring out.

how application monitoring workshow application monitoring works

How Application Log Monitoring Works

Application log monitoring is the process of setting up filters and specific alerts that apply to the data within application log files.

The monitoring part of our platform works by checking every data entry against the set criteria of the conditions you have defined, which allows our system to send out alerts to a notification tool of your choice (including Slack & Pagerduty among others).

In order to avoid notification fatigue, the Logit.io platform allows you to set varying degrees of thresholds and levels in alerts and notifications. Some alerts can go to your IT department while others are immediately sent to your cybersecurity experts.

Centralized Application Logs Management and Aggregation

With Logit.io’s application monitoring system, you can aggregate log data from multiple sources and integrations using hosted Logstashto process and display them in one platform to ensure consistent and centralised data management and monitoring.

This allows your data experts to comfortably manipulate the data looking for trends and patterns without worrying about misinterpreting the results, or not working from a single source of truth.

With our ELK backed log management platform, you can utilize data visualizations in Kibana, making it easier to see how data from multiple sources and time periods influence each other for comprehensive trend analysis.

visualise insights and metricsvisualise insights and metrics

Visualise Valuable Insights and Metrics

Our application logging tool allows you to simplify insights and metrics extraction by providing you with easy-to-use and adjustable charts, tables, and dashboards.

Once your data is parsed and transformed via our pre-configured pipelines, Elasticsearch holds key performance data and metrics that you can then extract and analyse for underlying patterns, trends, and anomalies within Kibana.

Logit.io’s Kibana charts are flexible and interactive, letting you adjust the representation of different data points to help you deduce information and key events.

For instance, you can adjust the period of time that you are viewing data from easily, or change the data source and tagging for more diverse insights, all with minimum and fast platform onboarding.

Tracking and Predicting Security Incidents

Log files track a wealth of events occurring against your application from changes in code to crash reports and suspicious user behaviour, such as multiple sign-in attempts or a change in access privileges.

The log management solution that Logit.io offers allows you to detect and respond to security incidents and vulnerabilities as soon as they happen and takes analysis much further than manually searching distributed logs could ever achieve.

By using our platform to analyse the log messages recorded closely before a security incident, you can far more easily identify what vulnerabilities the attacker may have exploited.

visualise insights and metricsvisualise insights and metrics
best practises for applicaion logging

Best Practices For Application Logging

Since application monitoring is mainly about tracking data produced by your app for events and analyzing it for insights and information, the type of data you collect and categorize matters.

If you are unsure what data you need to monitor for key insights our engineers are here to help you get on board and configure sending data. Feel free to reach out via live chat if you have any questions at all.

To make the most of the Logit.io centralised logging platform, there are few application monitoring practices that you should consider adopting:

  • Configure suitable alerts for events and incidents
  • Get familiar with the type of data your apps generate
  • Utilize tags, date ranges, and filtering
  • Verify your hypothesis with data proof before implementation
  • Perform regular analysis to track performance improvements
  • Transparent Pricing, No Data Egress Fees & Zero Vendor Lock-In

    Logit.io provides all of our users with straightforward pricing plans, resourced accordingly with none of the additional hidden usage-based costs commonly associated with other cloud-native platforms.

    Users of other cloud-native solutions often have a difficult time working out how much a platform going to charge them on a recurring basis. Especially when these services also have complicated pricing tables which prove daunting when you need to conduct due diligence by comparing service providers’ offerings.

    We also do not levy egress fees for sending data outside of the platform. This makes us far more cross-compatible with complimentary services that you already use than many other platforms which lock your data into their service so you can’t export data freely without incurring unexpected fees.

    Logit.io also does not implement vendor lock-in fees against our users. Vendor lock-in means that businesses who are unhappy with their current logging solution can't easily switch to another provider that actually meets their requirements.

    At Logit.io we would rather our users were happy to use our platform to meet all of their data analysis requirements than use the fear of leaving fees to keep them tied to our platform.

    As a platform that goes as far as to provide tailored onboarding for enterprise clients with additional needs, we are confident that our platform can meet all of your requirements without the need to use vendor lock-in.

    transparency & freedom

    Get started with monitoring application logs today

    Try our 14 day free trial

    No credit card required + get 20% off any annual plan when you subscribe

    Start Free Trial