Operations | Monitoring | ITSM | DevOps | Cloud

I'm Konner, a Strategic Sales Executive here at Cycle.io. With a background rooted in DevOps and CI/CD, I've dedicated over three years to engaging with developers and the DevOps community, consistently learning and gaining insights from each conversation.

Many ITOps organizations we speak with want a state of self-healing systems capable of identifying and resolving issues without human intervention. Thanks to the progress in AI and ML, AIOps has made significant advancements in areas that automate many of the steps involved with identifying and triaging incidents. We ask ITOps leaders why they aren’t taking the next step with auto-remediating incident response workflows.

IT infrastructure must meet enterprise needs for effective service delivery while also providing value for money. This is a critical undertaking. Massive data growth, increased complexity of hybrid cloud environments, and emphasis on digital-first strategies are just some of the challenges. This requires an advanced approach to how infrastructure is configured and controlled — infrastructure management.

You’ve done your research and decided to use the DevOps approach for your software development process and IT operations. However, before you start tossing around terms like “continuous integration” and “containerization,” there’s an important starting point on your DevOps journey — creating a DevOps implementation roadmap.

The cognitive bias known as the streetlight effect describes our desire as humans to look for clues where it’s easiest to search, regardless of whether that’s where the answers are. For decades in the software industry, we’ve focused on testing our applications under the reassuring streetlight of GitOps. It made sense in theory: wait for changes to the codebase made by engineers, then trigger a re-test of your code. If your tests pass, you’re good to go.

This week, NVIDIA unveiled what they are calling “the world’s most powerful GPU for supercharging AI and HPC workloads,” the H200 Tensor Core GPU. There is much hype around the H200 as it is the first GPU with HBM3e. The larger and faster memory will further enable generative AI, large language models, and advance scientific computing for HPC workloads. Read the NVIDIA press release.

Last year, we released Reliability Management, a combination of pre-built reliability tests and scoring to give you a consistent way to define, test, and measure progress toward reliability standards across your organization. Today, we fulfill the next stage of that promise with the release of Custom Reliability Test Suites, Custom Scoring, and Dashboards.

Today marks a significant milestone for Qovery and a highly anticipated evolution of our product, especially among Platform Engineers and DevOps professionals. We're thrilled to announce the "Bring Your Own Kubernetes" (BYOK) offer in beta access, a transformative step in our journey towards more flexible and adaptive infrastructure management. Please keep reading to understand why we extend our offer.

Vehicles are becoming more and more like mobile data centres. On average, a modern vehicle contains over 60 sensors that monitor various aspects of the vehicle, generating an immense amount of data that is processed on the go. This transformation is creating an unprecedented set of challenges for OEMs. Edge computing is a new paradigm that is changing how data is processed in these types of environments.