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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. Help us make better deployment decisions. appeared first on Dynatrace blog.

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Netflix Studio Engineering Overview

The Netflix TechBlog

We combine our entertainment knowledge and our technical expertise to provide innovative technical solutions from the initial pitch of an idea to the moment our members hit play. In an effort to effectively and efficiently produce this content we are looking to improve and automate many areas of the production process.

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How Netflix Scales its API with GraphQL Federation (Part 1)

The Netflix TechBlog

Netflix is known for its loosely coupled and highly scalable microservice architecture. But as our business has scaled, our ability to innovate rapidly has approached an invisible asymptote. The product teams solved for this with two architectural patterns. Yet they add complexity for use cases that span multiple services.

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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. Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers. Fueling innovation.

Cloud 203
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5 key areas for tech leaders to watch in 2020

O'Reilly

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%.

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Dynatrace and TechCrunch reveal why AI-powered observability and continuous automation are crucial for digital transformation

Dynatrace

The scope and scale of these environments are beyond human capacity to manage, with millions to billions of microservices coming and going each second in container-based architectures across multiple clouds. i] IDC FutureScape: Worldwide IT Industry 2020 Predictions, Doc #US45599219, October 2019.

Education 188
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Game changing — From zero to Autonomous Cloud Management today

Dynatrace

ACM is the culmination of our best practices and learning that we share every day with our customers to help them automate their enterprise, innovate faster, and deliver better business ROI. Market disruptions spark innovation and radical change. Embracing disruption and sparking innovation — the new way.

Games 160