Curated articles, resources, tips and trends from the DevOps World.
One of the most important tasks that any aspiring Data-Scientist should be able to accomplish is creating and deploying an end-point. End-points are the back-bone of modern machine-learning, and are the easiest way to translate models into a real production environment.
This article tries to explain a little bit about the concepts on which Git works. This article assumes that you have working experience with Git. Git is one of the most used versioning systems. Git works on three main concepts: Commit, Tree, Blob.
Disaster recovery, replication and aggregation among Kafka datacenters. Before we start let's make some abbreviations. Mirror maker v1.0 -> mmv1 Mirror maker v2.0 -> mmv2 Find the Project Find all the stuff on this document over here. Here is what the repository contains.
The ultimate goal in data-science is typically going to be automation. While this can be done for incoming data and predictions with Python, R, or C, these languages don’t do quite as well at running system operations like you may need to in order to complete certain tasks.
Axon server in Docker, both using the public image up on Docker Hub as well as with a locally built image, and why you might want to do that. In my previous post, I showed you how to run Axon Server locally and configure it for secure operations.
DevOps is a software development and distribution process. It emphasizes collaboration and communication between product management, software development and operations experts, and ensures that processes are optimally coordinated.
Shit happens. No amount of planning, preparation, or conservative practices can prevent incidents. Some items are simply outside of our control and it isn’t possible to plan for every imaginable scenario. Low probability events will still occur.
GraphQL is one of the most modern ways to build and query API's using a declarative syntax, versus using endpoints like REST. GraphQL is a syntax that describes how to ask for data, and is generally used to load data from a server to a client.
Read on, how can implementing agile localization into your workflow help improve product quality and streamline your processes. Best practice Today everything that can be agile is going agile. Agility has become a bonafide IT mantra for every process in the software development life cycle.
Practical advice on helping junior developers succeed, based on personal experience. A few weeks ago, my friend Nico König asked the Twittersphere about best practices when onboarding a new junior developer to your team.
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