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DevOps at Scale

DevOps at Scale

Change is the key to growth, DevOps is the agent of change

Most business can now be considered technology businesses in some form or other. Technology is an enabler in most industries and business has increasingly come to rely on it. Software is at the heart of technology. Forbes even went so far as to say that “now every company is a software company”.

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A short introduction of Apache Beam

Introduction

Once upon a time, in the wide Big Data’s world, several frameworks and runtime environments existed to design, code and execute ETL , streaming and batch tasks. It was very complicated for developers and architect to wisely choose the good one corresponding to the use case. It should be evolutive and could scale effectively in production. There were Apache SPARK SQL for queries, Apache Flink for real-time streaming, Hadoop Map reduce for batch usages and so on. In this way, it was very complicated and a bit overwhelming to pick and deploy in production the right tool for the right job.

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Kumori: an overlay to reinforce inter-datacenter connections resiliency

Networking: an essential aspect of cloud computing infrastructures

If you landed on this technical blog, it shouldn’t be a surprise to you if I tell you that cloud computing is the major trend that has shaped the IT world since its appearance in the form of Amazon’s “pay as you go” computing platform offerings. From then on, Cloud computing delivers its users and customers flexibility and adaptability to demand. Cloud services providers also promise a better resilience in the event of a failure, arguing that as their platform exists in datacenters distributed all around the world, their infrastructure can cope with large failures in a better way than a standalone computing rack that companies’ IT departments might run on their premises.

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