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Automate your work with unified observability and custom solutions

Dynatrace

Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. The app scans all incoming logs for various patterns and uses DQL (Dynatrace Query Language) to collect context like hosts, other processes, and traces for each potential problem.

AWS 222
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Design Patterns: Series Introduction

cdemi

I have decided to write a series on some common and modern Design Patterns that are useful in today's horizontally scalable (such as cloud-hosted) applications. Cache Aside Pattern. Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern. Competing Consumer Pattern.

Design 40
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Extend flexible and granular access management for team enablement and autonomy at scale

Dynatrace

This was one of the most demanded features, and with the introduction of security policies, this control mechanism is finally available. Using the policy language, you can create a repository of security policies that reflect the access patterns of your organization. Policy format. Built-in automation.

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

With the introduction of HTTP/2, things changed. An anti pattern, even. In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. If you are still running HTTP/1.1, my only advice is to upgrade to HTTP/2. That’s almost 22× more!

Cache 291
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Packaging award-winning shows with award-winning technology

The Netflix TechBlog

By Cyril Concolato Introduction In previous blog posts, our colleagues at Netflix have explained how 4K video streams are optimized , how even legacy video streams are improved and more recently how new audio codecs can provide better aural experiences to our members. They skip introductions and recaps when they frantically binge-watch Lupin.

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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

By Soheil Esmaeilzadeh , Negin Salajegheh , Amir Ziai , Jeff Boote Introduction Streaming services serve content to millions of users all over the world. With the help of security experts, we have designed and developed heuristic functions in order to discover a wide range of suspicious behaviors.

C++ 312
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Cloud Native Predictions for 2024

Percona

The field of Platform Engineering has witnessed significant advancements, as evidenced by the publication of the CNCF platform whitepaper and the introduction of a dedicated Platform Engineering day at the upcoming KubeCon event. Creating repositories for memory-safe patterns in cloud systems to improve overall security.

Cloud 79