Log files keep track of many of the changes, events and operations that your software and web servers go through. An efficient log management system provides you with a wealth of valuable insights when it comes to analysing errors, trends, and security incidents.

Still, not all logged data is of the same importance. Because the average software or server generates gigabytes of data on a daily basis, it is near impossible to manually identify critical data that indicates a recurring error, a security incident, or a pattern worth examining up close.

In order to make the most of your log files, you need a log file monitoring system backed by hosted ELK that can filter out the white noise of routine event log entries and single out data points with the potential for further exploration. Unfortunately, that is where most free log monitoring tools and manual log monitoring approaches fall short.

At Logit.io, we understand the immense value of accurate and effective log monitoring to your engineers and cybersecurity experts alike. By using Logit.io’s centralised log monitoring system, you can rest assured knowing that your technicians are alerted of every noteworthy incident and trend once you have configured alerts from your dashboard.

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What is Log Monitoring?

Log monitoring is the process of continuously evaluating log file entries as they are recorded in real-time. This ensures that critical data points are not dismissed.

You can configure your log management software to search log entries that meet specific criteria, whether it is inefficiency or outages in your systems, error codes, software crashes, security incidents, or other suspicious user behaviour.

Depending on the criteria your set, our log monitoring software as a service (SaaS) would send out alerts to your notification CRM.

Using automated log file monitoring over manual distributed analysis ensures no underlying patterns or valuable log entries remain unnoticed. The speed and efficiency with which the data is recovered play a major role in resolving minor errors before they cause serious problems for users and swift response during security incidents and data breaches.

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Centralised Cloud-Based Monitoring

In contrast with other automated and manual monitoring systems, Logit.io’s log monitoring solution is centralised, cloud-native and also enables users to explore ELK as a Service. More often than not, log data is ingested from multiple endpoints, making it difficult for traditional free log monitoring solutions to intelligently track changes across complex data sets.

Instead of monitoring log files from distributed origins separately, centralised monitoring amasses them in a single location, allowing for easy access and far more accurate insights and alerts.

Additionally, centralised log monitoring makes it easier to apply the same alert configurations to similar log file types, ensuring data incoming from various sources has notifications applied for security and faster error resolution.

Monitoring the Right Log Entries

Much of the data produced by servers and software is background noise. And while it can be beneficial to run top-level analysis in order to understand the data source’s current status, spending too much time in this area can distract your engineers from drilling down into the most valuable insights that can be unlocked from your data.

The key to efficient log monitoring and enterprise log management is centering your attention on the right data sets. Logit.io’s log monitoring system allows you to tag and configure highly-specific monitoring and alerts criteria, significantly reducing distractions and alert fatigue caused by irrelevant data. That way, you can categorise your remaining log entries into reports that display the severity of issues—from critical security events, changes in code to scaling issues and performance metrics.

Having log entries visualised by priority and severity allows you to run far more productive and accurate diagnostics, which are the first step into understanding what could be improved and how to best approach it.

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Data Tagging, Classification, and Filtering

Here at Logit.io, we understand that even the most accurate data sets can be of little value without a cohesive structure. A primary part of any log monitoring process is data classification and log filtering.

However, rigidity in data analysis can have the exact opposite effect, leading to limited insights and lost analysis opportunities. By using Logit’s log monitoring system to monitor data from multiple integrations and sources, you can flexibly pinpoint log entries within Kibana and categorise them by type, timeframe, or log level.

By using Logstash as an extract transform and load (ETL) tool to send your data to Elasticsearch you can then transform this data into visualisations within hosted Kibana to make looking for underlying trends and opportunities for improvement far easier. Flexibility in tagging, classification, and filtering is just one of the ways Logit.io ensures you make the most of your log and metrics data.

Data Visualisation

Accurate yet comprehensible data visualisation is an essential part of understanding large volumes of data. Data visualisation makes use of a wide variety of graphs and charts to represent various data points in relation to each other, as well as, external factors such as time range and usage.

Logit.io’s log monitoring is built upon hosted Kibanawhich helps you to turn your log files into visualized data, making it easier to spot anomalies, bottlenecks, and irregular trends.

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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.

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