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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. They state in the blog that this was quick to build, which is the point.

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Keeping Netflix Reliable Using Prioritized Load Shedding

The Netflix TechBlog

How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Logs and background requests are examples of this type of traffic.

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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. Beyond basic metrics: Detecting Architectural Regressions. It takes your artifacts (e.g: Help us make better deployment decisions.

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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. This scaling takes away the worry from random and unexpected traffic spikes or big seasonal traffic.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

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Achieving observability in async workflows

The Netflix TechBlog

Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront. Prodicle Distribution Our service is required to be elastic and handle bursty traffic. Written by Colby Callahan , Megha Manohara , and Mike Azar. Things got hairy.

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The future of synthetic testing is in the cloud

Dynatrace

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. What this means for our customers is simply better data, that is more reliable and has less noise, enabling them to make better decisions using a more robust underlying architecture.

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