DevOps for Data Science – Continuous Integration

In the previous post in this series on DevOps for Data Science, I covered the first the concept in a DevOps “Maturity Model” – a list of things you can do, in order, that will set you on the path for implementing DevOps in Data Science. The first thing you can do in your projects…


Stability and Change – Why and How to adopt WaaS.

Hello everyone, Today I am writing you after my visit to the DevOps Days in Singapore. The intention of this article is to give you a very brief overview of the current changes in IT, which you really should be aware of: Why is Windows 10 not just a simple operating system as the previous…


DevOps for Data Science – Infrastructure as Code

In the previous post in this series on DevOps for Data Science, I explained that it’s often difficult to try and implement all of the DevOps practices and tools at one time. I introduced the concept of a “Maturity Model” – a list of things you can do, in order, that will set you on…


Webinář : Vývojové a testovací prostředí v Microsoft Azure

Zítra, 28.11.2017, pořádáme od 14:00 hodinový Online Webinář na téma Vývoj a Testování v Azure. Bude to rychlý, technický či obchodně-technický přehled toho nejzajímavějšího a aktuálního co můžete ihned začít používat ve svých projektech. Něco zajímavého by si měli najít jak úplní začátečníci, tak i pokročilí uživatelé – vývojáři nebo IT odborníci kteří již možná…


Roll-Up Board widget extension supports feature flags

We shared our research of the implementation of the feature flags, using LaunchDarkly, with our VSTS extensions in a series of blog posts: Phase the features of your application with feature flags Building VSTS Extensions with feature flags : Part 1, Part 2, and Part 3 Azure Functions : Prepare for continuous delivery, Provisioning and…


DevOps for Data Science – DevOps Maturity

In this series on DevOps for Data Science, I’ve explained what DevOps is, and given you lots of resources to go learn more about it. Now we can get to the details of implementing DevOps in your Data Science Projects. Consider that the standard Software Development Lifecycle (SDLC) with Data Science algorithms or API’s added…


VSTS: Lessons Learned Doing DevOps at Microsoft at Scale

Last week I gave a keynote on DevOps at VS Live! 2017 in Orlando. In this talk I cover four main things. Controlling exposure using feature flags Greater resiliency by using circuit breakers Live site management and the importance of root cause Transforming our tests to become fast and reliable. The video is now online,…


Otestujte si bezpečnost OSS komponent ve vašem softwaru, za 15 min. z nuly do CI-CD

Vyzkoušejte si scénář, který jsem ukazoval minulou středu jako úvodní čtvrthodinové demo semináře DevTest a DevOps multiplatformně v cloudu. Cílem bylo malé intro do Azure a do Visual Studio Team Services formou demo ukázky úplně z nuly. V jedné ruce mikrofon v druhé myš, určený čas 15 minut a začínáme prakticky z ničeho, jediné co je k tomu…


DevOps for Data Science – DevOps isn’t the Toolchain (But you still have to care about the tech)

 In this series on DevOps for Data Science, I’m covering the Team Data Science Process, a definition of DevOps, and why Data Scientists need to think about DevOps. It’s interesting that most definitions of DevOps deal more with what it isn’t, than what it is. Mine, as you recall, is quite simple:  DevOps is including…