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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. available, and more are in the pipeline. We’ve added Python support to Extensions 2.0, Extensions 2.0

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

The Netflix TechBlog

By open-sourcing the project, we hope to contribute to the Java and GraphQL communities and learn from and collaborate with everyone who will be using the framework to make it even better in the future. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem.

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Zero Configuration Service Mesh with On-Demand Cluster Discovery

The Netflix TechBlog

Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments. 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.

Traffic 220
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Dynatrace introduces automatic vulnerability management for PHP

Dynatrace

The open-source scripting language PHP is used by over 78% of all websites that use a server-side programming language. Due to the widespread adoption and rich ecosystem of available PHP libraries, all types of security vulnerabilities can be found in PHP applications. It ranks eighth in terms of GitHub pull requests statistics.

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Why PostgreSQL Is a Top Choice for Enterprise-level Databases

Percona

When it comes to enterprise-level databases, there are several options available in the market, but PostgreSQL stands out as one of the most popular and reliable choices. PostgreSQL supports sharding, which allows data to be distributed across multiple servers, making it ideal for high-traffic websites and applications.

Database 113
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The Return of the Frame Pointers

Brendan Gregg

This technique saves two instructions in the prologue and epilogue and makes one additional general-purpose register (%rbp) available." 2014: Java in Flames Broken Java Stacks (2014) When I joined Netflix in 2014, I found Java's lack of frame pointer support broke all application stacks (pictured in my 2014 Surge talk on the right).

Java 145
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How Netflix Scales its API with GraphQL Federation (Part 2)

The Netflix TechBlog

This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. Our goal was to design a GraphQL schema that was reflective of the domain itself, not the database model.