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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

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What is observability? Not just logs, metrics and traces

Dynatrace

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. What is the difference between monitoring and observability? Is observability really monitoring by another name? Dynatrace news. In short, no.

Metrics 363
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Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

Dynatrace has recently enhanced its Metrics APIs, allowing everyone to send any type of metric with any set of data dimension to Davis, Dynatrace’s AI engine. In our conversation, I mentioned the new Dynatrace Metrics ingestion and off we went. ?? There are many use cases for using this API.

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Accelerating innovation with Kubernetes and Dynatrace

Dynatrace

However, while Kubernetes can help teams monitor the health of their environments and restart failed applications, the platform has limited visibility into the internal state of those applications. To watch the full session and learn more about how Dynatrace is accelerating innovation with Kubernetes, follow one of the local links below.

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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 191
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The value of open platforms: How an open software intelligence platform accelerates innovation

Dynatrace

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.

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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 225