Today, to maintain competitiveness, every company needs to behave like a software company and deliver new solutions with high velocity, quality and reliability. New features need to be introduced at a rapid pace, but with high-quality expectations. At the same time, deployment releases and operations are getting complex, debugging and traceability in production are increasingly […]
VW CEO Fired for Dev Fails | Fiber Shortage Hits | Google Fires Blake Lemoine
In this week’s The Long View: Herbert Diess is out at VW because software is hard (yo), fiber optic cable is hard to find, and the guy who said LaMDA was sentient is dumped by Google.
AI: It’s What Staff Crave!
If you’ve seen Idiocracy (Side note: I am not recommending the movie; I’m using a phrase from it we’ve all heard. The movie itself was a comedy not at all meant to be family-friendly when it was made, and changes in social mores since its 2006 release make it far less acceptable today), you are […]
EP 19: How AI/ML are Used in DevOps Today
Artificial intelligence (AI) and machine learning (ML) help improve the performance of DevOps teams by automating repetitive tasks and eliminating inefficiencies across the SDLC. By using AI, teams can test, code and check software faster and more efficiently. In this episode of DevOps Unbound, Brian Dawson, Judith Hurwitz, Alan Shimel and Mitch Ashley discuss how AI and ML are transforming DevOps and what new use cases await AI and ML in 2021 and beyond.
3 Pillars of Autonomous IT Ops
Imagine a future where human IT operators and intelligent systems work together in a virtual operations room; the systems do the heavy lifting while the humans supervise. This may seem like science fiction, but the truth is we are already on the way to that future with AIOps. While actual AI-augmented teams are still quite […]
The Future of IT: Smart Tools, Intelligent Technology
In the last few years, the lines between information technology and development have been blurred. Developers need to know about infrastructure, and administrators need to know how to code. Advances like containerization, orchestration, continuous integration and infrastructure-as-code (IaC) happened in tandem with DevOps’ rise. The advantage of DevOps is that you can quickly build and […]
Using ML/AI to Support Infrastructure Monitoring
Successful infrastructure monitoring enables IT teams to ensure constant uptime and performance of their company’s systems. Technologies like machine learning (ML) and artificial intelligence (AI) benefit infrastructure monitoring by more quickly collecting and analyzing data from all of the hardware and software components that comprise the IT stack. Infrastructure changes are occurring faster than ever […]
Enterprise ML Investments on the Rise
The second wave of enterprise artificial intelligence and machine learning (AI/ML) adoption is building, and is expected to crest in 2021, as many organizations increased and accelerated their investments in tools and people. That was one of the unmistakable conclusions of our 2021 enterprise trends in machine learning report: 83% of the companies we surveyed […]