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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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How to collect Prometheus metrics in Dynatrace

Dynatrace

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 197
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. When software runs in a monolithic stack on on-site servers, observability is manageable enough. In addition to tracing, observability also defines two other key concepts, metrics and logs. What is OpenTelemetry?

Metrics 177
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Software intelligence as code enables tailored observability, AIOps, and application security at scale

Dynatrace

Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Many observability solutions don’t support an “as code” approach. Dynatrace enables software intelligence as code. Observability is required for effective collaboration and automation.

Code 213
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Comprehensive metrics support Extensions 2.0

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Percona Operators Custom Resource Monitoring With Kube-state-metrics

Percona

In this article, we will see how someone can monitor Custom Resources that are created by the Operators with kube-state-metrics (KSM), a standard and widely adopted service that listens to the Kubernetes API server and generates metrics. Please find the code and recipes from this blog post in this GitHub repository.

Metrics 71
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Driving your FinOps strategy with observability best practices

Dynatrace

For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Are there rogue servers running in the environment where ITOps, CloudOps, or another team can’t assign or identify who’s financially responsible for it? Suboptimal architecture design.