DevOps Practice
Threads: Twitter Killer or Ad-Infested Hellscape?
Richi Jennings | | ActivityPub, Cinder, Elon Musk, fediverse, Instagram, JIT, Mark Zuckerberg, Mastodon, Meta, Meta Platforms, Python, The Long View, ThreadsIn this week’s #TheLongView: Meta launches its much-leaked Threads microblogging app. A spinoff from Instagram, it’s already reached 30 million signups at the time of writing. How is Meta’s DevOps team making ...
How TestOps Enhances DevOps and Software Development
By properly setting up TestOps, companies can make their DevOps processes more efficient, transparent and bug-free ...
How AI Transforms DevOps Infrastructure
AI can help manage cloud resources for DevOps by predicting future needs based on usage trends and automatically adjusting resources to optimize cost and performance ...
Reimagining CI/CD: AI-Engineered Continuous Integration
AI has the potential to greatly improve the efficiency, accuracy and effectiveness of DevOps continuous integration (CI) practices ...
Identify Needs First
In several projects of late, I have noted a trend in otherwise rockstar IT departments: They identify an area that they wish to implement or approve and then set out to address ...
Five Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted to better serve our audience. Our goal in these challenging economic times is to ...
FinOps Gaining Ground, But Progress is Slow
Mike Vizard | | Cloud Computing, cloud cost management, CloudBolt, FinOps, hybrid cloud, Multi-cloudA CloudBolt survey found more than three-quarters of respondents said it will take two to three years to see real FinOps-driven results ...
Tabnine Unveils Beta of Generative AI Automated Testing Tool
Tabnine this week made available in beta a tool that enables developers to use natural language to interact with the artificial intelligence (AI) models embedded within its test automation platform. Brandon Jung, ...
How AI Addresses DevOps Monitoring and Observability Challenges
Marc Hornbeek | | ai, ai-engineered tools, continuous monitoring, devops, Engineering DevOps, nine pillars of devops, observabilityAI can support monitoring and observability by analyzing logs and metrics to predict potential system failures or performance degradation ...
IBM/Red Hat Sparks Anger at GPL ‘breach’ as RHEL Source Locked Up
Richi Jennings | | CentOS, commercial open source, Ethics in Open Source Development, Fedora, free software, gpl, ibm, legal, legal issues, LGPL, license, licensing, linux, open source, open source code, open source community, open source development, open source ecosystem, open source licensing, red hat, Red Hat Enterprise Linux, Red Hat Linux, rhel, software licensing, The Long ViewIn this week’s #TheLongView: Red Hat Enterprise Linux (RHEL) goes closed source. Well—not really, but … ...
Harnessing AI in Continuous Delivery and Deployment
Marc Hornbeek | | ai, CD, continuous delivery, continuous deployment, devops, Engineering DevOps, nine pillars of devopsIn my recent article Revolutionizing the Nine Pillars of DevOps with AI-Engineered Tools, I explained that the continuous delivery pillar is an approach where code changes are automatically built, tested and prepared ...
How Platform Engineering Protects Profit, People and our Planet
Platform engineering offers lots of tangible benefits for businesses, but sustainable platform engineering can be even better ...
