DevOps Onramp
How to Build a Data Platform for Self-Service, Ad-Hoc Analytics
To truly fulfill the promise of self-service, ad-hoc data analytics across huge datasets, teams need to work in real-time ...
5 Effective Git Workflows to Streamline Your Development Process
Git workflows are powerful tools that help streamline the software development process. Here are five of the most popular ...
Best Practices for DevOps in the Hybrid Cloud
To leverage cloud-bursting and safeguard applications and data, DevOps can embrace a hybrid cloud strategy ...
What is a Shadow Deployment?
Shadow deployment enables observation of changes without causing any disruption to a live application ...
What DevOps Teams Need to Know About Responsive Web Design
Here's how to to effectively implement and support RWD, enhancing UX and significantly improving overall user satisfaction and engagement ...
Observability Leaders: The Mighty Minority Holding Their Own Against Outages
A robust observability strategy can preemptively detect anomalies and potential issues—before they become full-blown outages ...
Documentation as Code: A Game Changer for DevOps Teams?
Documentation-as-code improves collaboration, ensures consistency and accuracy, facilitates version control and streamlines updates and maintenance processes ...
5 Microservices Design Patterns Every DevOps Team Should Know
Understanding and applying these five key microservices design patterns can help you design more scalable, reliable and maintainable applications ...
The Differences Between DevOps, DevSecOps and SRE
DevOps, DevSecOps and SRE are all quickly gaining traction within the tech world due to their effectiveness and promise of reliability for companies. Each framework provides various levels of safety and scalability—DevOps ...
System Initiative Open Sources Digital Twin Tool for DevOps
System Initiative is making the digital twin tool it developed to manage DevOps workflows available under an open source Apache 2.0 license ...
How Observability and Explainability Benefit the SDLC
Software systems require continual modification to meet changing requirements, address errors, improve performance and enhance reliability. Yet, maintaining and modifying complex and distributed software systems as they change and grow can present ...
Using Observability to Create a Smart Data-Driven Culture
The first words that come to mind when talking about smart technologies are often artificial intelligence, machine learning and automation. While these smart technologies play a crucial role in smart-driven cultures, they ...