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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 199
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DevOps automation: We’re only halfway there

Dynatrace

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 204
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Support of OpenTelemetry metrics with enhanced AI capabilities

Dynatrace

With the most important components becoming release candidates , Dynatrace now supports the full OpenTelemetry specification on all runtimes and automatically adds intelligence to metrics at enterprise scale. So these metrics are immensely valuable to SRE and DevOps teams. Kudos and thanks to all fellow contributors.??.

Metrics 228
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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 202
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What is platform engineering?

Dynatrace

This blog wil cover the importance of platform engineering, the role of a platform engineer, and where the practice is heading in the future. Other aspects of the discipline — such as infrastructure as code, automation, and standardization — reduce extraneous manual processes to increase developer productivity.

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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment.

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. What is a data lakehouse?