Log Management

Service Description

Log management is a service that helps you deal with a large volume of log data generated by computing devices and software applications.

Service covers end to end log processing from log collection, aggregation, analysis to long-term retention and storage. The goal of log management is to have end to end view that enables business to pinpoint issues in real-time.

Logs are created by developers for debugging purposes. Data within the log message can vary between developers, applications, vendors and systems. All of this data needs to be collected, aggregated and analysed in real time.

Our log management service helps to connect applications, servers, network and infrastructure into one single view that enables us to detect and resolve issues as fast as possible.

What are the Benefits of Log Management?

Logging is very important for managing, maintaining and troubleshooting IT systems.

Cross system monitoring – Detection of log events and patterns across systems.
Real time monitoring – Monitoring of parameters that represent system health.
Optimization – Identification of low performance and configuration issues.
Root cause analysis – Data analysis to gain insights into problems root cause.
Application troubleshooting – Pinpointing the areas of poor performance and help in identification of root cause of application errors.
Meeting SLA objectives – Trough analysis and monitoring teams are able to resolve issues quicker, meeting SLA objectives.

Key Features of Our Log Management Service

Log management consists of couple of features:

Log Collection – Collection of logs to centralized location in real time. Log are collected to central location, because if for example local server fails there would be no visibility into what happened.
Log aggregation – Data is formatted and processed for teams to perform analysis and monitoring.
Log analysis – Use of various tools for log analysis. Log management solution must be designed in such a way, that enables users to perform fast searches and find what they are looking for.
Log monitoring and alerting – Next step is to setup rules and alerts. Which types of rules should be applied depend on specific use case, this could be for example spikes in CPU usage, network usage, suspicious activities and so on.
Log reporting – When doing root cause analysis, it is important to be able to extract a report that shows how certain parameters have been changing (or not) over time.

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