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What is observability? Not just logs, metrics and traces

Dynatrace

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
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What is an open ecosystem? How an ecosystem strategy delivers open source benefits

Dynatrace

In turn, this drives the need for increased integration of heterogeneous telemetry data such as metrics, logs, and traces, and intelligent awareness of context across disparate data types. These logs and metrics are distinct from the logs, metrics, and traces of individual components. The post What is an open ecosystem?

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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. Logs, metrics, and traces make up the bulk of all telemetry data. Read eBook now! Watch webinar now! How does OpenTelemetry work?

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

Dynatrace

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. DevOps metrics and digital experience data are critical to this.

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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

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 monitoring types and how they work.

Cloud 233
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Observability vs. monitoring: What’s the difference?

Dynatrace

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

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Accelerate transformation with automated observability for Google Cloud Platform

Dynatrace

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. 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.

Google 233