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Performance Testing with Open Source Tools – Myths and Reality

Alex Podelko

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. Otherwise we wouldn’t see so many commercial tools built on the top of open source including BlazeMeter (it is ironic that the article is posted on the BlazeMeter site), Flood, and OctoPerf.

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Scale DevOps and SRE with open source Keptn

Dynatrace

Andreas Grabner, DevOps Activist at Dynatrace, took to the virtual stage at the recent Dynatrace Perform conference to describe how the open source Keptn project automates the configuration of observability tools, dashboards, and alerting based on service-level objectives (SLOs). Too many SLOs create complexity for DevOps.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! For the open-source release, we partnered with AWS to provide a seamless integration between Metaflow and various AWS services. Get started at metaflow.org.

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Open Sourcing the Netflix Domain Graph Service Framework: GraphQL for Spring Boot

The Netflix TechBlog

By Paul Bakker and Kavitha Srinivasan , Images by David Simmer , Edited by Greg Burrell Netflix has developed a Domain Graph Service (DGS) framework and it is now open source. Comprehensive documentation is available on the website but let’s walk through an example to show you how easy it is to use this framework.

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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

Dynatrace monitoring-as-code allows us to do just that – and what started around one year ago in a ‘Minimal Viable Product’ approach to cover our internal needs, is now available to all our customers as Open Source on GitHub. and some sample configurations used for integration testing. Identifiers are great!

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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. Standby Server Tests.

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Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Scalegrid

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. Effective management of failover and switchover operations is crucial for high availability.