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Open-Sourcing a Monitoring GUI for Metaflow

The Netflix TechBlog

Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform tl;dr Today, we are open-sourcing a long-awaited GUI for Metaflow. link] Metaflow is a full-stack framework for data science that we started developing at Netflix over four years ago and which we open-sourced in 2019.

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Security by design enhanced by unified observability and security

Dynatrace

At financial services company, Soldo, efficiency and security by design are paramount goals. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. Because Soldo is in a highly regulated industry, Domenella’s team adopted security by design from the beginning.

Design 217
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LinkedIn's Open-Source "iris-message-processor" Achieves 86.6x Faster Escalation Management Speeds

InfoQ

LinkedIn developed a new open-source service called "iris-message-processor" to enhance the performance and reliability of its existing Iris escalation management system. iris-message-processor" significantly improves processing speeds, being ~4.6x faster under average loads and ~86.6x By Eran Stiller

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Reasons to Choose an Open-Source Test Automation Tool

Testsigma

Open-source software development has grown increasingly popular over the last two decades. Popular OS like Linux and Android; Browsers like Firefox and Chrome; Programming languages like Python and JavaScript; Automation tools like Selenium and Appium; are all Open-Source. Startups are generally budget-challenged.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

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What is security analytics?

Dynatrace

Security analytics solutions are designed to handle modern applications that rely on dynamic code and microservices. The first challenge of effective security analytics involves distributed data sources. This includes everything from multicloud deployments to microservices to Kubernetes instances and the use of open source software.

Analytics 161
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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

Insecure design This broad category refers to fundamental design flaws in the application caused by a failure to implement necessary security controls during the design stage. Use a safe development life cycle with secure design patterns and components. Apply threat modeling and plausibility checks.