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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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Managing High Availability in PostgreSQL – Part III: Patroni

Scalegrid

In the final post of this series, we will review the last solution, Patroni by Zalando, and compare all three at the end so you can determine which high availability framework is best for your PostgreSQL hosting deployment. Managing High Availability in PostgreSQL – Part I: PostgreSQL Automatic Failover. Patroni for PostgreSQL.

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Setting Up and Deploying PostgreSQL for High Availability

Percona

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges.

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Efficient SLO event integration powers successful AIOps

Dynatrace

When the SLO status converges to an optimal value of 100%, and there’s substantial traffic (calls/min), BurnRate becomes more relevant for anomaly detection. Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts. What characterizes a weak SLO?

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7 Best Performance Testing Tools to Look Out for in 2021

DZone

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. With rising competition in the digital world and the requirement to be present in the top rank of the category, makes performance tests crucial for companies.

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Zero Configuration Service Mesh with On-Demand Cluster Discovery

The Netflix TechBlog

Since there were no existing solutions available, we needed to build them ourselves. To improve availability, we designed systems where components could fail separately and avoid single points of failure. Eureka and Ribbon presented a simple but powerful interface, which made adopting them easy.

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