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Latest DevOps Articles

Category: Ubuntu, containerization

Source: medium.com

Docker Morsels: From 0 to Docker

It’s been 6 years since Docker has arrived in the market and it is still one of the hottest IT technologies to learn. Paypal, Metlife, Splunk, Visa, BBC News, L...

Category: Security

Source: dzone.com

How to Secure APIs

To gather insights on the current and future state of API management, we asked IT professionals from 18 companies to share their thoughts. We asked them, "What...

Category: Business, Kubernetes, Docker, Jenkins, Architecture, gitlab, automation, yaml

Source: medium.com

Quick Primer to GitLab CI/CD Pipelines

Quick Primer to GitLab CI/CD Pipelines
Automation is essential for successful DevOps teams, and CI/CD pipelines are a big part of that automation journey. At its most basic level, what does a pipelin...

Category: Software, Business, Security, Kubernetes, Docker, Jenkins, github, gitlab, automation, bitbucket, bamboo

Source: medium.com

How to find the right CI/CD solution

How to find the right CI/CD solution
Continuous integration and delivery helps DevOps teams ship higher quality software, faster. But is all CI/CD created equal? What does successful CI/CD implemen...

Category: Software, automation

Source: dzone.com

What You Need to Know About DevTestOps

What is DevTestOps? The DevOps movement or culture celebrated its tenth anniversary in 2018. It is now critical to the success of many organizations. The origin...

Category: Kubernetes, containerization

Source: dzone.com

Getting Started With Kubernetes Clusters

Getting Started With Kubernetes Clusters
Kubernetes is rapidly turning into the new standard for sending and overseeing programming in the cloud. With all the power Kubernetes gives, be that as it may,...

Category: Software, Business, Data, Microsoft, Infrastructure, Architecture

Source: dzone.com

Evolving Integration Strategy at Major Canadian Bank, Part 2

Evolving Integration Strategy at Major Canadian Bank, Part 2
While understanding the importance of the APIF, we also recognize that good architectural practices and proper logical architecture of the application/services...

Category: Deployment, Data, Kubernetes, Infrastructure, containerization, automation

Source: dzone.com

What Is NoOps?

Automation has been driving the entire IT industry forward this past couple of years. By automating certain tasks, development teams can increase their capacity...

Category: Software, Data, artificial-intelligence

Source: dzone.com

Neuralink Reveals Their Brain-Machine Interface

Neuralink Reveals Their Brain-Machine Interface
Anyone with interest in wearable tech has been waiting with bated breath for Elon Musk's Neuralink to come out of stealth mode.

Category: Database, Data

Source: dzone.com

Trust, But Verify, Your JWTs

Trust, But Verify, Your JWTs
The Internet has changed a lot throughout the years as well as the way we work with it. In this tutorial, we’ll cover a modern and secure way of creating and ve...

Category: github

Source: devblogs.microsoft.com

What’s new in Azure DevOps Sprint 154

Sprint 154 has just finished rolling out to all organisations and you can check out all the cool features in the release notes. Here are just some of the featur...

Category: Kubernetes, Docker, container, containerization

Source: dzone.com

Containers Without Docker

Why do people go for Docker? Though we have many container technologies, people preferred Docker for one reason: Docker made great leaps in the simplification o...

Category: Deployment, Database, Kubernetes

Source: dzone.com

Deploy Grafana to Kubernetes Using Application Template

Deploy Grafana to Kubernetes Using Application Template
This tutorial shows you how to quickly deploy a Grafana application in KubeSphere via an Application Template, demonstrating the basic functionality of the appl...

Category: Software, Business, Data, Kubernetes, Docker, Jenkins, github, automation, bitbucket, artificial-intelligence

Source: medium.com

AI Ops — Managing the End-to-End Lifecycle of AI

As they journey toward AI, most organizations establish data science teams staffed with people skilled in ML/DL algorithms, frameworks and techniques.