Curated articles, resources, tips and trends from the DevOps World.
Objective: We are creating a project where when a developer pushes code to Github and Jenkins job download that code and start a container with the environment containing all the requirements and help to improve accuracy.
When you run stateful container with Nomad, you need to consider how to persist data between Docker containers that run on different hosts. What you want is this: Independent of where the container runs, it should have access to the same data.
MLOps means (Machine learning + Operations). MLOps is communication between data scientists and the operations or production team. It’s deeply collaborative in nature, designed to eliminate waste, automate as much as possible, and produce richer, more consistent insights with machine learning.
In this post, we consider why we shouldn't nest event handler inside the Repeater loop and how we can escape it. At first sight, adding event handling for repeated items looks easy.
CloudBees has extended the integrations embedded within its software delivery management (SDM) platform to add support for additional services provided by Google.
Aaron Aldrich is a Developer Advocate at LaunchDarkly, Founding organizer of DevOpsDays Hartford, and frequent DevOpsDays organizer and participant all over. When not talking about DevOps and Resilience Engineering, you can find him talking about Mental Health with osmi-help.
MLOps is a practice of integrating machine learning with devOps, which aims to deploy and maintain ML systems in production reliably and efficiently. As we all know in machine learning we have to train model to get better accuracy .
The adoption of IT technologies has increased exponentially over the last few decades. Nowadays, the need to create quality web applications while simultaneously managing their extensive data effectively is a major concern for any organization.
GitLab has updated its continuous integration/continuous delivery (CI/CD) platform with a raft of capabilities spanning everything from value stream management to cybersecurity.
After several weeks of studying and researching and a lot of trials and errors using Kubernetes, I managed to get things working. It is indeed quite a steep learning curve, especially for someone who has never put his hand on it.
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