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Best Practices for a Seamless MongoDB Upgrade

Percona

Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. Protection against data loss : Older MongoDB versions pose a risk of data loss due to unsupported software.

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Towards a Reliable Device Management Platform

The Netflix TechBlog

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. million elements.

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Millions of tiny databases

The Morning Paper

The core algorithms (chain-replication, Paxos-based consensus) aren’t the stars of the show here, instead the paper focuses on how these algorithms are deployed, and the software engineering practices behind the creation of a mission-critical production system employing them. Larger cells have better tolerance of tail latency (e.g.

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Why you should benchmark your database using stored procedures

HammerDB

Note that for all tests, we used the local loopback address and port to provide the lowest possible network latency between client and server and also so we don’t have any concerns about bandwidth limitations. When we observe the global CPU usage one clear difference is the increase in softirqs or software interrupts.(If

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

Percona

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. On the other hand, MongoDB schema design takes a document-oriented approach. Two other schedulers are deadline and noop.

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Friends don't let friends build data pipelines

Abhishek Tiwari

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

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SRE Incident Management: Overview, Techniques, and Tools

Dotcom-Montior

Software services still require physical devices and hardware for them to function. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers. Change management is also sometimes grouped with release management. Asset Management.