Category “Cloud”

Published
December 11, 2016
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Time To Read
Estimated reading time: 3 minutes

Cloud Lock-In and Change Agility

By in Cloud, Culture on December 11, 2016 | Responses (1)

TL;DR Don’t Focus on Lock-In Insulation — Focus on Change Agility We are entering into a future of lock-in. Public clouds are no longer someone else’s computers or hosted services. These are fast becoming proprietary platforms with a bit of open source sprinkled in here and there. Almost everything you need to run an enterprise is now available as a pay-as-you-go platform on AWS, and Azure and GCP are not staying put. As difficult as it may be to swallow and accept this trend, it is important recognize that, anything that needs…

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Published
December 6, 2016
Author
Kuldeep Chowhan (@this_is_kuldeep)
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Time To Read
Estimated reading time: 4 minutes

The Inside Scoop on Primer, Expedia’s Internal Cloud Deployment Tool

By Kuldeep Chowhan (@this_is_kuldeep) in Cloud, Devops on December 6, 2016 |

In early 2013, Expedia decided it was time to more heartily explore cloud solutions. At the time, the company’s web services structure was a monolith. The team was nearing the end of a major platform overhaul, changing the way the entire core of Expedia operated. The cloud was becoming too interesting a tool to ignore. But how does a company move a proverbial rock uphill? A small group of us came together to look at moving a microservice to the cloud. We focused on an application within the shopping path — starting…

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Published
November 21, 2016
Author
Vithun Gajendra
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Time To Read
Estimated reading time: 4 minutes

Gamifying Continuous Integration

By Vithun Gajendra in Cloud, Culture on November 21, 2016 |

For the last couple of years we’ve been moving applications from our data centers into the cloud. One of the advantages of moving to the cloud was that we could host our applications in different geographical regions bringing them closer to the user. Also each team working on an application gets the chance to easily have their app hosted on multiple environments (test/stress/integration/production). Having multiple versions of an application running at the same time across multiple regions and environments brought its own challenge of visibility. It was not straight-forward to know what’s running where…

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Published
November 3, 2016
Author
Andre Caron
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Time To Read
Estimated reading time: 5 minutes

AWS Lessons Learned for Data Processing Pipelines

By Andre Caron in Cloud, Devops, Lessons Learned on November 3, 2016 | Responses (2)

Last year my team and I embarked on a mission to migrate Expedia’s Media Services image processing pipeline to AWS. The media services are used to ingest images from hoteliers and image providers, optimize them, and distribute them to be used by our sites. The new queue based cloud pipeline was put in place to replace an aging batch system. Moving to a cloud infrastructure has brought many advantages; we can easily scale when the load is heavier, have faster deployments, and mostly no more worrying about ordering more disk…

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