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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. You can ask for the best configuration to reduce latency or improve the user experience.” It’s using 1.5 cores, but only 0.2

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The provider is essentially your system administrator.

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Faster time to value with enhanced handling of OneAgent runtime data

Dynatrace

Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable.

Storage 146
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InnoDB Performance Optimization Basics

Percona

As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Operating system Linux is the most common operating system for high-performance MySQL servers. But also larger log files mean that the recovery process will be slower in case of a crash.

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The evolution of single-core bandwidth in multicore processors

John McCalpin

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Stay tuned! buffer copies for filesystem access) with a single thread. Why is the single-core bandwidth increasing so slowly?

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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

We’d like to get deeper insight into the host, the underlying operating system, and any third-party services used by our application. This is not just a list of running processes and their CPU and memory details (“top” came to mind), but OneAgent can instrument (almost) any application on your system—automatically.

Metrics 168