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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023. Choosing where and how to collect data is overwhelming. Realizing the promise of OpenTelemetry is a challenge for most organizations.

Analytics 280
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How to automate version aware distributed trace analysis

Dynatrace

Dynatrace news. The post How to automate version aware distributed trace analysis appeared first on Dynatrace blog.

Cloud 209
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How to automate Canary Release decisions with Dynatrace

Dynatrace

Dynatrace news. One of the aspects of progressive delivery is using new zero-downtime deployment strategies such as Canary, Blue-Green, or Feature Flags. Those strategies allow development teams to decouple the tasks of deployment (rolling out a new binary to production) from releasing (making it accessible by your end-users).

Cloud 232
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How to boost SRE productivity with observability-driven DevOps

Dynatrace

What these steps have in common is that monitoring tools are not in sync with new changes in code or topology and this observability data is often siloed within different tools and teams. Automation presents a solution. We refer to this culture and practice as observability-driven DevOps and SRE automation.

DevOps 218
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Boost application performance with improved CPU analysis across all your deep-monitored workloads

Dynatrace

Dynatrace news. We’re happy to announce that with Dynatrace version 1.198, we’ve dramatically improved CPU analysis, allowing you to easily understand CPU consumption over time, in the context of your workloads. Fully automated code-level visibility. Easily identify and analyze your most impacting workloads.

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How to get the answers you deserve using the three pillars of observability

Dynatrace

Dynatrace news. Observability is divided into three major verticals—metrics, logs, and distributed traces—the so-called three pillars of observability. Here’s how Dynatrace uses the three pillars of observability in context for automatic problem detection and root-cause analysis. 2) Distributed traces.

Metrics 184
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Dynatrace key takeaways from o11yfest 2021

Dynatrace

Dynatrace news. This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. Jonah Kowall, CTO of Logz.io, also gave a talk on the topic of “Managing applications SLAs using Traces and Metrics”. Trace-based sampling can help you save storage costs.

AWS 212