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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. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130
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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. We have also noted a great potential for further improvement by model tuning (see the section of Rollout in Production).

Tuning 210
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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The CFQ works well for many general use cases but lacks latency guarantees. Spoiler alert: This post focuses on MongoDB 3.6.X tcp_fin_timeout = 30 net.ipv4.tcp_keepalive_intvl

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 102
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. Metrics for each service instance are presented in detailed charts—see the example for ECS below. Requirements.

AWS 137
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. Metrics for each service instance are presented in detailed charts—see the example for ECS below. Requirements.

AWS 133
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Towards a Reliable Device Management Platform

The Netflix TechBlog

In addition, unlike other SQL stores, CockroachDB is designed from the ground up to be horizontally scalable, which addresses our concerns about Cloud Registry’s ability to scale up with the number of devices onboarded onto the Device Management Platform. million elements. this is configurable through enable.auto.commit.

Latency 213