News Category: DevOps

Open Source's Evolution in Cloud-Native DevOps

Open source tools continue to serve as the underlying cornerstone of cloud native DevOps patterns and practices — while they also continue to change and evolve. Cloud native’s origins, of course, trace back to when Amazon and then Microsoft began to offer so-called cloud platforms, allowing...
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Kubernetes
Operators can help you extend Kubernetes functionality to include managing any stateful applications your organization uses; learn more in this tutorial.

Demystifying Kubernetes Operators with the Operator SDK: Part 1

You may have heard about the concept of custom Operators in Kubernetes. You may have even read about the CoreOS operator-sdk, or tried walking through the setup. The concept is cool: Operators can help you extend Kubernetes functionality to include managing any stateful applications your...
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Taming the Rate of Change

Change frequency is an indicator of time to create business value. In order to create value in a given amount of time, you need to be able to release your code a certain number of times and learn from those changes. The less frequently you release, the longer it can take to create value. Increase...
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The Great "DevOps Engineer" Title Debate

At the DevOps Enterprise Summit in Las Vegas last month, DevOps author and researcher Gene Kim unveiled his latest definition of DevOps: The architecture, technical practices, and cultural norms that enable us to: increase our ability to deliver applications and services; quickly and safely, which...
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Machine Learning for Operations

Managing infrastructure is a complex problem with a massive amount of signals and many actions that can be taken in response; that’s the classic definition of a situation where machine learning can help.  IT and operations is a natural home for machine learning and data science. According to Vivek...
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The Growing Significance Of DevOps For Data Science

DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring.  DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively. Data science brings additional...
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6 Best Practices for High-Performance Serverless Engineering

When you write your first few lambdas, performance is the last thing on your mind. Permissions, security, identity and access management (IAM) roles and triggers all conspire to make the first couple of lambdas, even after a “hello world” trial just to get your first serverless deployments up and...
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gRPC Load Balancing on Kubernetes without Tears

Many new gRPC users are surprised to find that Kubernetes’s default load balancing often doesn’t work out of the box with gRPC. For example, here’s what happens when you take a simple gRPC Node.js microservices app and deploy it on Kubernetes: While the voting service displayed here has several...
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DevOps and Cloud: A Symbiotic Relationship

DevOps and cloud computing have become two of the ways companies can achieve this needed transformation, though the relationship between the two is not easily reconciled—DevOps is about the process and process improvement, while  cloud computing is about technology and services. It’s important to...
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An Introduction to Ansible Operators in Kubernetes

For years, Ansible has been a go-to choice for infrastructure automation. As Kubernetes adoption has skyrocketed, Ansible has continued to shine in the emerging container orchestration ecosystem. Ansible fits naturally into a Kubernetes workflow, using YAML to describe the desired state of the...
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