For decades, logs have been the only way to understand how your application works — and even in the modern days of cloud observability, they are as important as ever. However, management of logs in many distributed components has become a challenge on its own — starting with log collection from many sources, understanding where they belong and which log entry actually indicates a problem.
Serverless adoption is accelerating as companies embrace modern application architectures. Modernization brings compelling business benefits including faster release cycles, cost savings and accelerated innovation, but the dynamic nature of serverless functions puts significant strain on traditional observability solutions.
To understand the three pillars of observability, organizations need a grapple on logs, metrics and traces. While it is true that these three factors are very important data sources, alone they don’t provide full observability. In order to optimize their environments, organizations need to dive deeper by injecting automation, AI and end user experience into the pillars of observability to help drive scale and efficiency.
When is a technical problem a business problem? Wouldn’t it be great if you always knew the answer to that question? That’s exactly what Dynatrace Business Analytics delivers. Register for our upcoming Power Demo, Dynatrace and Business Observability: Tying IT Metrics to Business Outcomes, on Wednesday, July 21.
