Remove Latency Remove Metrics Remove Operating System Remove Tuning
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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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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. ” First, Akamas collects metrics, then recommends configuration improvements and applies these recommendations. .

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How digital experience monitoring helps deliver business observability

Dynatrace

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

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

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 171
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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. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator.

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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements.

Lambda 122
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Software-defined far memory in warehouse scale computers

The Morning Paper

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory. ML-based auto-tuning. Evaluation.