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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 cloud monitoring? How to improve your full-stack visibility

Dynatrace

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards.

Cloud 222
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APRA CPS 230 compliance, explained

Dynatrace

Enhanced customer confidence through excellent service availability. The good news: even for latecomers to the compliance party, compliance is perfectly doable within the timeframe given the right tools and strategies. Organisations typically waste valuable time discussing and deciding the right strategy for hunting down the problem.

Cloud 221
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What is synthetic testing?

Dynatrace

Also called continuous monitoring or synthetic monitoring , synthetic testing mimics actual users’ behaviors to help companies identify and remediate potential availability and performance issues. Types of synthetic testing There are three broad types of synthetic testing: availability, web performance, and transaction.

Testing 208
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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Define core metrics. New data sources are dynamically incorporated into the platform as they become available, mirroring the changing needs of an organization. Choose a repository to collect data and define where to store data.

Analytics 188
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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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The top four log analytics and log management best practices

Dynatrace

In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics. If you want to transform user requests into real-time dashboards or alerts, you can set up processing rules at ingestion to create fields and metrics when the log is ingested.