DevOps

The digital landscape is a battleground where modern applications—complex constructs of cloud stacks, APIs, microservices, and AI integrations—present an ever-expanding attack surface for malicious actors. In this environment, a single security breach can lead to catastrophic data leaks, crippling

As organizations accelerate their migration to the cloud, many are unknowingly bringing outdated security philosophies with them, attempting to protect hyper-dynamic, distributed infrastructures with tools designed for a static, on-premises world. This fundamental mismatch creates a dangerous blind

As organizations increasingly leverage generative AI platforms like ChatGPT as a primary distribution channel for their services, they are encountering a critical and often invisible barrier to success. The very architecture that makes these AI environments secure and functional creates a profound

The rapid proliferation of generative AI tools has created a puzzling contradiction within software development teams: developers are writing code faster than ever before, yet the overall speed of project delivery has failed to keep pace. GitLab is directly confronting this "AI paradox" with the

The integration of artificial intelligence into software development has rapidly evolved from a novel concept to a fundamental necessity, with a recent market shift pushing AI beyond simple code completion tools and into the very fabric of the DevOps lifecycle. The promise is no longer just about

The rapid proliferation of artificial intelligence has ignited an unprecedented global demand for cloud computing power, transforming specialized resources like GPUs from abundant commodities into scarce, high-value assets. This escalating "capacity crunch" means the foundational cloud