Enterprise DevOps
Forking RHEL! Oracle and SUSE Join the Fight ¦ Silverman Sues AI Firms
Richi Jennings | | ai, CentOS, commercial open source, Ethics in Open Source Development, Fedora, free software, generative AI, gpl, ibm, large language model, legal, legal issues, LGPL, license, licensing, linux, LLM, LLMs, open source, open source code, open source community, open source development, open source ecosystem, open source licensing, Oracle, red hat, Red Hat Enterprise Linux, Red Hat Linux, rhel, software licensing, SUSE, The Long View, training modelsIn this week’s #TheLongView: SUSE announces a Red Hat Enterprise Linux fork after Oracle said a similar thing, and Sarah Silverman says OpenAI and Meta have stolen her words ...
Are LLMs Leading DevOps Into a Tech Debt Trap?
Some of the most alluring uses of LLMs could lead to terrible outcomes for enterprises and their DevOps and platform engineering teams ...
Monitor Toolchain Health, Too
Don Macvittie | | CD, ci, continuous delivery, continuous deployment, continuous integration, DevOps Monitoring, DevOps toolchains, Enterprise Continuous Testing, toolchainTool everything, because the software delivery toolchain is now the core of application development and deployment, Don MacVittie advises ...
Key Insights From the Stack Overflow 2023 Developer Survey
Bill Doerrfeld | | ai, developer experience, generative AI, languages, software development, Stack OverflowStack Overflow's 2023 developer survey reveals insights into programming language and tooling preferences and the use of AI in the development workflow. Here's what these trends could mean for DevOps ...
Revolutionizing the Nine Pillars of SRE With AI-Engineered Tools
In my blog Rapid Strategic SRE Assessments Accelerate IT Transformations published last year, I classified site reliability engineering (SRE) into nine pillars of SRE practices—a comprehensive framework that covers the full scope ...
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 ...
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 ...
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 ...
Survey Surfaces Raft of Enterprise IT Challenges
Less than a third of enterprises are extremely confident that they have the right technology, processes and people in place to execute an effective approach to IT management ...
