Remove DevOps Remove Infrastructure Remove Metrics Remove Monitoring
article thumbnail

How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 188
article thumbnail

9 key DevOps metrics for success

Dynatrace

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals.

DevOps 198
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is DevOps automation?

Dynatrace

DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. What is DevOps automation? DevOps automation is a set of tools and technologies that perform routine, repeatable tasks that engineers would otherwise do manually.

DevOps 186
article thumbnail

Boost DevOps maturity with observability and a data lakehouse

Dynatrace

That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data.

DevOps 182
article thumbnail

Extract metrics from business events to increase the value of business analytics

Dynatrace

But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? Metric extraction is a convenient way to create your business metrics, delivering fast, flexible, and cost-effective analytics.

Analytics 199
article thumbnail

Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Amazon Data Firehose helps stream logs to the right destination But your SREs and DevOps engineers know CloudWatch is not the terminal destination for data but rather an intermediate station.

Cloud 250
article thumbnail

Mastering Kubernetes deployments with Keptn: a comprehensive guide to enhanced visibility

Dynatrace

Numerous hurdles can hinder successful deployments, from resource constraints to external dependencies and monitoring inadequacies. Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance. Ensuring that your monitoring solution monitors your cluster.