Curated articles, resources, tips and trends from the DevOps World.
Over the past decade, DevOps engineers teams have gained impressive experience in combining development and operations using advanced technologies such as GitLab CI/CD, CircleCI, Docker, Kubernetes. Today, this methodology is applicable to any business that has an IT department.
I just finished reading the new book by Viktor Farcic called DevOps Paradox. It’s a departure from Victor’s previous writing which was mostly focused on DevOps tooling. In a way this book can be seen as an extension of his DevOps Paradox podcast.
In this final piece of the series, we will focus on the actual computational aspects of the challenge of reasoning about both request-level and stream-level data and deriving the desired metrics. We have a lot of key-value stores nowadays, e.g. redis, RocksDB, etc.
Where the world meets DevOps
I first wrote about AWS DeepRacer at this time last year, and described it as an opportunity for you to get some hands-on experience with Reinforcement Learning (RL). Along with the rest of the AWS team, I believe that you should always be improving your existing skills and building new ones.
This post is co-authored by Anny Dow, Product Marketing Manager, Azure Cognitive Services. In an age where low-latency and data security can be the lifeblood of an organization, containers make it possible for enterprises to meet these needs when harnessing artificial intelligence (AI).
There are the more obvious reasons Microsoft remained near or at the top of the most influential companies in high tech: the arrival of Satya Nadella taking over from Steve Ballmer; the subsequent refocusing from proprietary products to open source, as well as making the cloud its first priority.
Discover Kubernetes Service Discovery. Modern applications rely on microservices to remain scalable and efficient. Kubernetes provides the perfect environment for microservices to exist and work together with the tools and features it offers.
Design Docker images with a heirarchy in mind.Over the past few years, I’ve had the need to create Docker images for various applications/microservices. In my case, the most predominant use cases were Java and Python.
We have seen large enterprises in all industry segments meaningfully utilizing AWS to build new capabilities and deliver business value. While doing so, enterprises have to balance existing systems, processes, tools, and culture while innovating at pace with industry disruptors.
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