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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. 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.

DevOps 224
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Should You Use ClickHouse as a Main Operational Database?

Percona

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).

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Stuff The Internet Says On Scalability For February 8th, 2019

High Scalability

Newzoo : The games market took more than 35 years to grow to a $35 billion business in 2007. According to 451 Research’s Voice of the Enterprise: Data & Analytics, 28% of businesses run analytics on their employee behavior data, roughly the same number that analyze IT infrastructure data. billion in revenues.

Internet 188
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The Best In Performance Interview Series – Episode #4: Recap with Rich Howard

Rigor

When working on a project for the Man Booker Prize in 2007 (now known as the Booker Prize), Howard saw first-hand how a heavy-load day could impact a website. Retrospectives. Lessons learned. Q: What in your background helped you gain a stronger understanding of peak-load readiness? From there, he will calculate a load model.

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Data Mining Problems in Retail

Highly Scalable

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Fisher, 2007. Billsus, 2007.

Retail 152
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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. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

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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. In 2007, businesses had started to become more distributed; customers were using multiple devices to access their files and there was a need to make this experience as smooth as possible.