Dynatrace: How Grail is revolutionizing log analysis

Logs are an essential source of information for monitoring the performance of applications and IT infrastructures. However, analyzing logs can be tedious and time-consuming to find relevant information. This is where Grail, Dynatrace’s log analysis solution, comes in.

Grail is an innovative log processing technology that allows operations teams to monitor the performance of applications and IT infrastructure more efficiently. Grail uses a combination of machine learning, event hunting, and filtering techniques to identify important events in the logs and highlight them for users.

Here’s how Grail works:

  1. Data Collection: Grail collects logs from multiple sources, including servers, applications, and storage infrastructure. Logs are collected in real time and stored in a centralized location for later analysis.
  2. Data processing: Grail uses machine learning techniques to analyze logs and identify important events. Machine learning models are built from historical data and updated in real time as new events are identified.
  3. Event Search: Grail uses event search techniques to find matches between events in the logs and machine learning models. Relevant events are highlighted and presented to the user for further analysis.
  4. Filtering: Grail uses filters to isolate relevant events in the logs and highlight them for users. Filters can be based on criteria such as event type, time, severity level, and other factors.
  5. Analysis: Events identified by Grail are presented to the user for further analysis. Users can explore logs using advanced visualization tools to understand the root causes of performance issues.

By using Grail, operations teams get the following benefits:

Time Saving: Grail saves time by quickly identifying important events in the logs, allowing users to focus on critical performance issues.

Quality improvement: Grail improves the quality of log data by filtering out irrelevant events and highlighting important events. Users can thus make more informed decisions based on accurate and relevant data.

Early Detection: Grail enables early detection of performance issues by quickly identifying critical events in the logs. This allows operational teams to take preventive measures to avoid downtime.

Deeper Analysis: Grail allows for deeper analysis of logs by presenting relevant events in a clear and concise manner. Users can explore data using advanced visualization tools to understand the root causes of performance issues.

Cost savings: Grail helps reduce costs by eliminating the need to spend time sifting through large logs to find important events. Operational teams can thus concentrate on tasks with higher added value.

Automation: Grail automates log analysis using machine learning techniques to identify important events. Machine learning models are updated in real time as new events are identified, enabling more accurate and faster analysis.

In conclusion, Grail is a powerful log analysis solution that allows operations teams to monitor the performance of applications and IT infrastructure more effectively. Using machine learning, event search and filtering techniques, Grail quickly identifies important events in the logs and presents them to the user for further analysis. By using Grail, operations teams can improve the quality of log data, reduce costs, and detect performance issues earlier, which helps minimize downtime and improve user experience.

Why contact Althérys?

  1. Team expertise: The Althérys team is made up of high-level IT services experts, who have extensive experience in the deployment and integration of digital performance management solutions.
  2. Partnership with Dynatrace: Althérys is a privileged partner of Dynatrace, which means that its experts are trained in the latest observability, AI and data analysis technologies from Dynatrace. This ensures that clients receive the best advice and expertise to optimize their digital performance.
  3. Tailor-made services: Althérys offers tailor-made services, adapted to the specific needs of each client. This means customers can choose the services they need and only pay for what they use, which can help reduce costs and maximize value.
  4. Complete support: Althérys offers complete support, from the consultation phase to the implementation and optimization of solutions. Clients can benefit from professional assistance every step of the way, which can help them achieve their goals faster and more efficiently.
  5. Improved user experience: Thanks to Althérys’ expertise and solutions, customers can improve the quality of user experience of their applications and infrastructures, which can help build customer loyalty and strengthen their image as brand.

Althérys’ services can help clients optimize their digital performance, reduce costs, maximize value and improve user experience.