Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MARCH 6, 2024

The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs. “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

Engineering 239

Engineering Development DevOps Infrastructure 239

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Dynatrace news.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. The deviating metric is response time. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

JANUARY 12, 2021

It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. To learn more about observability and how to overcome the challenges of implementing it, download the ebook 5 Challenges to Observability.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191