People should always have access to the applications they need to do their work well, wherever they are. To guarantee an optimal user experience, it's important to foresee disruptions in a timely manner so you can take action in time. This way, you prevent applications from failing. With the AI-supported solution Elastic Observability, you can see exactly how each network component is performing on a clear dashboard.

If you don't want to be constantly putting out fires, then observability is crucial. But in a complex IT landscape with many users, applications, and locations, it's not easy to oversee everything. How can you find out in time that something is going wrong somewhere?

Log monitoring is the answer. Within your IT infrastructure, there are all sorts of sources that continuously generate valuable information about the operation and performance of systems. For example, applications and operating systems track user activities and errors. Cloud services also generate logs about, among other things, the use of storage capacity, computing power, and events. Firewalls track intrusion attempts and provide information about the presence of malware.

Understand petabytes of log data at lightning speed

For people, all that data is impossible to keep track of. Within the Elastic Stack, Elastic Agent helps you to collect, combine, and analyse petabytes of log data. If patterns emerge that indicate a failure is imminent or has already occurred, the system issues a warning. This allows IT administrators to intervene sooner.

In practice, log monitoring is mainly used to gain insight into:

• Application performance: to minimise downtime and improve user experiences;
• The complete infrastructure: by monitoring the landscape (including cloud platforms such as AWS, Microsoft Azure and Google Cloud), you resolve downtime promptly;
• Users: If a website has a longer loading time than intended, it obstructs a good user experience. If you see this in real-time, you address the cause before the user can call the helpdesk.;
• Synthetic monitoring: by combining features from the end-user perspective, application availability and performance are not compromised. An example of this is simulating user actions, such as filling in forms, navigating a website, or performing specific actions within an application. This allows errors to be quickly detected.

PuurData helps

As an Elastic Elite Partner, PuurData can advise you on how to get the most out of the platform in your specific situation. In addition, PuurData can assist you with implementation and management, thereby taking a lot of the work off your hands.

Zuyderland Hospital

The Limburg-based Zuyderland Hospital is an example of an organisation with a complex and geographically dispersed IT landscape. In healthcare, much depends on the availability of applications. IT management therefore uses Elastic Log Monitoring, which helps to prevent disruptions. Zuyderland is thus less reactive. Bert Hausmans, Head of Care and Support Applications, compares the solution to a thermometer. Just as that can measure whether a person has a fever, it can measure in a network whether there is a (looming) disruption. The result of this is that in many cases, Zuyderland resolves problems without an end-user noticing they existed.

Would you like to know more about this? Then read here The full story about Zuyderland. Are you curious to find out what PuurData can do for your organisation? Then Contact Meet us.