Logging And Logging Clusters, Centralized Logs Aggregation

Logs are critical to help you understand what’s going on inside your virtual server cluster. While most applications have a built-in logging mechanism out of the box, in a distributed and containerized environment (like Kubernetes), users will be better off with a centralized logging solution.

This is due to the fact that they need to collect logs from several applications with different log formats and send them to some server side of the logs for subsequent storage, processing and analysis.

What problems can arise if there is no centralized approach to log management?

Managing logs in a distributed and containerized environment is not easy

Collecting and analyzing the logs of all applications and services running on a Kubernetes cluster is not easy. Log volumes can grow rapidly and become unmanageable. Teams that lack scalable logging solutions run the risk of losing critical logs during a peak.

Collecting, storing and analyzing data can be challenging

Configuring, managing and scaling ELK technologies (Elasticsearch, Logstash and Kibana) to meet your logging needs is a complex task that requires a lot of time and effort. This can distract your team from other priorities.

Visual analysis capabilities are limited

Teams often use several open-source tools to render their logs. Plus, the lack of integrated collaboration tools makes the entire process slow and complex.

Tenendo experts offer a managed service for centralized logging management. While you concentrate on your highest business priorities, we help consolidate all your logs in one place, access them through a web interface, and control their access according to your organization’s policies. Using our extensive experience with the ELK stack, we make Kubernetes logging very easy, secure, and reliable.

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