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Best practices for Fluent Bit 3.0

Dynatrace

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Observability: Elevating Logs, Metrics, and Traces! What is Fluent Bit?

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Let’s take a closer look at what observability in dynamic AWS environments means, why it’s so important, and some AWS monitoring best practices. AWS monitoring best practices. Here are some best practices for maintaining AWS observability in larger, multicloud environments. And why it matters.

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Best practices for alerting

Dynatrace

There are many more factors which influence what has been highlighted and what won’t and cannot be described in this short blog so just trust the AI!!!! It doesn’t apply to infrastructure metrics such as CPU or memory. When using the default automatic settings, Dynatrace uses industry-standard best practise hardcoded values.

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Metric Expressions explained

Dynatrace

The post Metric Expressions explained appeared first on Dynatrace blog. Dynatrace news.

Metrics 246
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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Best practices for accelerating Dynatrace APIs within large monitoring environments

Dynatrace

This blog post introduces the new REST API improvements and some best practices for streamlining API requests and decreasing load on the API by reducing the number of requests required for reporting and reducing the network bandwidth required for implementing common API use cases.

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Optimize resource utilization of your Kubernetes clusters with SLOs

Dynatrace

It’s important to choose the right metrics to track based on your objective. These SLOs should cover metrics like node memory utilization, which involves monitoring the ratio of requested versus allocated resources, or the ratio of desired versus running pods per node.