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

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. The CFQ works well for many general use cases but lacks latency guarantees.

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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

At its core, Kubernetes (often abbreviated as K8s) is an open source tool that automates the deployment, scaling, and management of containerized applications. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

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Performance Testing - Tools, Steps, and Best Practices

KeyCDN

Wait time: Sometimes called average latency, wait time refers the amount of time a request spends in a queue before it gets processed. Google Lighthouse Google Lighthouse is a free and open source tool that is part of the Google Chrome DevTools family. Peak response time: The longest response time.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. As a best practice, It is advisable to have different mounts for MySQL data and log files with specific system configurations.

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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

Nevertheless in this blog sometimes we do publish performance data to highlight best practices or potential configuration pitfalls and although we’ve mentioned this one before it is worth dedicating an entire post to it as this issue seems to appear numerous times running database workloads on Linux.

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Friends don't let friends build data pipelines

Abhishek Tiwari

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

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