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Choreography Pattern: Optimizing Communication in Distributed Systems

DZone

In today's rapidly evolving technology landscape, it's common for applications to migrate to the cloud to embrace the microservice architecture. While this architectural approach offers scalability, reusability, and adaptability, it also presents a unique challenge: effectively managing communication between these microservices.

Systems 286
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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 224
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Business observability: From IT monitoring to driving digital transformation

Dynatrace

In today’s digital-first world, data resides across dozens of different IT systems, from critical business applications to the modern cloud platforms that underpin them. Often, these metrics are unable to even identify trends from past to present, never mind helping teams to predict future trends. Operational optimization.

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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130
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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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Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. The outcome of the presentation and the follow up discussions at Neotys PAC lead to Pitometer! appeared first on Dynatrace blog.

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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 300