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I run into this scenario a lot as a freelance developer. Companies will request that any code you write for their project will 100% belong to them. They want to own all of the IP (intellectual property) for every line of code and they’ll ask you to sign contracts to agree. A vast majority of companies just take existing contracts they have for their full time employees, tweak a few sentences to make it apply to contract work and then call it a day. So it’s no surprise that you’ll eventually get to the section of the contract on code ownership and you’ll get hit with a wall of text that says you forfeit the right to use, reuse, copy, talk about, write about or distribute any line of code outside the context of this project. Full Time Employment and Contracts Are Different The limitations imposed by the above contract are pretty strict but if you’re a full time employee and that’s the only code base you’ll be working on for the next few years, then it’s not totally out of the ...

We’ve talked a lot about how Docker Enterprise supports and simplifies Kubernetes. But how are organizations actually running Kubernetes on Docker Enterprise? What have they learned from their experiences? Here are three of their stories: McKesson Corporation When you visit the doctor’s office or hospital, there’s a very good chance McKesson’s solutions and systems are helping make quality healthcare possible. The company ranks number 6 in the Fortune 100 with $208 billion in revenue, and provides information systems, medical equipment and supplies to healthcare providers. The technology team built the McKesson Kubernetes Platform (MKP) on Docker Enterprise to give its developers a consistent ecosystem to build, share and run software in a secure and resilient fashion. The multi-tenant, multi-cloud platform runs across Microsoft Azure, Google Cloud Platform and on-premise systems supporting several use cases: Monolithic applications. The team is containerizing an existing ...

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We recently Dockerized the main part of our event processing pipeline using the 1.12-rc4 release. It’s been awesome using Docker in Swarm mode, and we’ve been really impressed with the ease of setup and use of Swarm mode. Our event pipeline processes around 220 million application errors per day, approximately 150k per minute, and performs a massive variety of processing tasks — it’s a critical piece of our infrastructure. The new version of Docker Engine introduces native clustering capabilities, built directly into the daemon (as opposed to running a separate set of processes). This, in our opinion, positions Docker as a serious competitor in the container orchestration space (alongside giants like Kubernetes and Mesos), and will make building and operating large distributed applications easier for everyone. Docker Swarm mode A quick look at Bugsnag’s error processing architecture As you probably know, Bugsnag is an error monitoring platform. As part of this, we have to ac...