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Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

In 2009, the tech scene in Australia was not as vibrant as it is today: Atlassian was still small and Canva didn’t exist. Microsoft In 2009, not many US tech companies were hiring, as the sector was still recovering from the 2008 crash. After graduating, I began looking for a more serious job.

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Bun: lessons from disrupting a tech ecosystem

The Pragmatic Engineer

In 2009, it was revolutionary and the majority of the JavaScript backend development community moved to this ecosystem. The dilemma is this: a large, market-leading company has some motivation to innovate, but also a strong disincentive as well, because innovation risks undermining its existing products.

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Open source business model struggles at WordPress

The Pragmatic Engineer

in 2009, and sold the company for $8.5B In the other corner: WP Engine.  A  A company that raised $250M of funding from Silver lake Partners in 2018. The same Silver Lake purchased a majority stake in Skype for $1.9B WP Engine also sells managed Wordpress services, making it a direct competitor to Automattic.

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4 Considerations When Building Your Government Data Strategy

Cloudera

I don’t call it a “trudge” because the cloud is an unwanted destination, but rather because it’s an arduous journey (remember “Cloud First”…from 2009…yes 2009!). They also serve to sharpen our tools and help offer steady, knowledgeable guidance as agencies continue to trudge toward the cloud.

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The Roots of Today's Modern Backend Engineering Practices

The Pragmatic Engineer

The full article additionally covers: The struggle for scale at Amazon and the birth of SOA (late 1990s) Virtualization: the new frontier (1999-2002) Cloud computing: A paradigm shift (2006-2009) Containers and Kubernetes: reshaping the backend landscape (2013-2019) Today’s backend ecosystem: defining “modern” Envisioning the future (..)

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Brief History of Data Engineering

Jesse Anderson

Apache Spark came in 2009 and gave a unified batch and streaming engine. Hadoop didn’t support doing things in real-time, and Apache Storm was open sourced in 2011. It didn’t get wide adoption as it was a bit early for real-time, and the API was difficult to wield. It gained in usage and eventually displaced Hadoop.

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Engineering On-Demand Transportation for Business with Uber Central

Uber Engineering

When Uber launched in 2009, our mission was simple: make transportation as reliable as running water everywhere, for everyone.