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 Cloud 363

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 237

AWS Lambda Artificial Intelligence Serverless 237

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 251

Engineering Development DevOps Infrastructure 251

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Modern operating systems provide capabilities to observe and report various metrics about the applications running. Read eBook now!

Cloud 236

Cloud Serverless Hardware Operating System 236

Dynatrace

NOVEMBER 10, 2020

As a developer, you might use Google Cloud Function for serverless components. Complete observability with Dynatrace provides you with all the metrics from all your Cloud Functions and services across your GCP projects and displays them on dashboard charts. We know that your environment may contain many different cloud services.

Google 233

Google Cloud Serverless Innovation 233

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions. Cloud-server monitoring.

Cloud 233

Cloud Monitoring Best Practices Infrastructure 233

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 204

Monitoring Artificial Intelligence DevOps Serverless 204