Operations | Monitoring | ITSM | DevOps | Cloud

Many business organizations begin their data analytics journey with great expectations of discovering hidden insights from data. The concept of unified storage — data lake technologies in the cloud — have gained momentum in recent years, especially with the exponential options for cost-effective cloud-based storage services. Big data is readily available. In fact, 2.5 quintillion (2.5 x 10^18 or 2.5 billion billion) bytes generated every day!

Logs are imperative for troubleshooting, performance analysis, health monitoring, and application integrity and security. Log management tools clearly understand how users interact with apps and systems and provide insight into improving software reliability, increasing productivity, reducing risks, and ultimately improving the user experience. Through log management tools, users can further integrate and enrich all of their logs, making queries quicker and more effective.

When thinking about holistic end-to-end observability, it can help to start with what you already have. Many government agencies are already strategically ingesting and storing logs — a key component of observability. More than a year and a half after the release of M-21-31, US government agencies continue to work through the logging maturity models outlined in the memorandum.

Docker logs play a critical role in the management and maintenance of containerized applications. They provide valuable information about the performance and behavior of containers, allowing developers and administrators to troubleshoot issues, monitor resource usage, and optimize application performance. By capturing and analyzing log data, organizations can improve the reliability, security, and efficiency of their containerized environments.

Meet your compliance goals using Aiven for OpenSearch®, S3 storage and Aiven for Apache Kafka®.