Curated articles, resources, tips and trends from the DevOps World.
Today, I am happy to announce the availability of AWS Cloud Control API a set of common application programming interfaces (APIs) that are designed to make it easy for developers to manage their AWS and third-party services. AWS delivers the broadest and deepest portfolio of cloud services.
Ansible Automation Platform 2 leverages containers dubbed automation execution environments which bundle in collection, python and platform dependencies to provide predictable, self-contained automation spaces that can be easily distributed across an organization.
Laravel has a number of convenient methods to help speed up your development. When developing you sometimes need to see what an object or variable contains to make sure the code is doing what you expect.
In 2017, AWS and VMware brought VMware Cloud on AWS, the VMware enterprise-class Software-Defined Data Center (SDDC) software for all vSphere-based workloads, to the AWS Cloud with optimized access to native AWS services.
Today AWS Step Functions expands the number of supported AWS services from 17 to over 200 and AWS API Actions from 46 to over 9,000 with its new capability AWS SDK Service Integrations.
The release of Laravel 8 introduced us to many great new features, and I think it is one of the best releases we have ever had! 🎉 😍 However, to me, the schema dump command is far by the most useful for me in some personal projects and for the large projects I work on every day at work.
Inspired by the big names in the Laravel and wider development community I have always wanted to start a blog. Mostly, I will write mostly about things I learn and practices I follow while maintaining several large applications at my work and in personal projects.
Whether you’re already in the cloud or migrating to the cloud, ongoing skills development is a critical success factor. The range of tools and features from cloud vendors and third parties is vast, and it’s continually expanding.
You are building and managing resilient applications to serve your customers. Building distributed systems is hard; maintaining them in an operational state is even harder. The question is not if a system will fail, but when it will, and you want to be prepared for that.
Two years ago, we introduced Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML).
Have valuable insights to share with the DevOps community? Submit your article for publication.
Get the latest DevOps news, tools, and insights delivered to your inbox.
Made with pure grit © 2025 Jetpack Labs Inc. All rights reserved. www.jetpacklabs.com