Remove 2007 Remove Code Remove Infrastructure Remove Tuning
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts.

DevOps 209
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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

MongoDB started out in 2007 as 10gen, a New York-based company looking to create a Platform as a Service (PaaS) solution. Co-founder Eliot Horowitz recounts ( {coding}bootcamps.io ): “MongoDB was born out of our frustration using tabular databases in large, complex production deployments. looking out for MongoDB Inc.

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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

One example is that Netflix launched it’s streaming service in 2007, just at the point when the cost of streaming a movie over the network (which was dropping fast) became less than the cost of shipping a DVD. Rob Hirschfeld of RackN had this perspective on the impact of AI on his domain of infrastructure automation.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Infrastructure Optimization. Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts.

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World’s Top Web Performance Leaders To Watch

Rigor

She also teaches for Black Girls Code, and she founded the Dallas chapter of Girl Develop It and DFW Sass. Barry is a professional software developer who has nearly two decades of industry experience developing and supporting software and infrastructure. Barry Pollard. Check out the story behind this wonderful book.) Doug Sillars.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. Monolithic structure : Since Reloaded modules were often co-located in the same repository, it was easy to overlook code-isolation rules and there was quite a bit of unintended reuse of code across what should have been strong boundaries.

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The Netflix Cosmos Platform

The Netflix TechBlog

The first generation of this system went live with the streaming launch in 2007. Dealing with production issues became an expensive chore that placed a tax on all developers because infrastructure code was all mixed up with application code. The second generation added scale but was extremely difficult to operate.