CEO & Co-Founder at StackBooster, specializes in cloud infrastructure optimization and Kubernetes management, driving innovation and efficiency in tech solutions.
Enterprises waste more than $300B annually in unused cloud credits and SaaS overspending. Learn why cloud commitments go unused, why multicloud expansions intensify waste, and how AI automation—like StackBooster—helps engineering teams regain control. Cloud spending was supposed to bring efficiency, elasticity, and better economics. But today, the opposite
How AI Agents Reduce MTTR and On-Call Fatigue in Modern Kubernetes Environments Learn how AI agents are transforming DevOps and platform operations by reducing MTTR, eliminating on-call fatigue, and automating performance optimization across Kubernetes environments. Every engineering leader knows the feeling: an alert pings at 2:12 AM. Traffic spike.
Kubernetes has transformed how organizations scale and manage modern infrastructure. Yet, even the most mature teams face a common problem: resource inefficiency. Beneath the surface of automation and elasticity, clusters quietly leak resources: wasting compute, memory, and budget every minute they run. But here’s the real challenge: most teams
Kubernetes has become the backbone of modern cloud infrastructure — enabling scalability, automation, and resilience at massive scale. But behind that innovation lies a costly truth: most clusters waste between 30% and 65% of the resources companies pay for. This isn’t just about cloud bills. It’s about how organizations
Introduction: The Growing Challenge of Managing Kubernetes Costs Kubernetes has become the de facto standard for container orchestration, empowering organizations to build, deploy, and scale applications with unprecedented agility. However, this flexibility comes at a cost. As cloud-native environments grow in complexity, managing the underlying infrastructure costs has become a
Introduction Kubernetes pod scheduling is more than a background process—it is a key decision‑making layer that determines where your workloads run, how much they cost, and how resilient they are under pressure. Cloud-native teams constantly face the same challenge: How can we minimize cloud spend while keeping applications
FinOps vs. AI Scaling: The Future of Cloud Cost Optimization As cloud spending balloons - projected to surpass $700 billion in 2025 —organizations face a stark choice: stick with reactive FinOps-centered workflows or embrace smarter, AI-driven autoscaling. The answer isn't either/or—it’s both. Here’s why
Hey folks, Alex Sharabudinov here — your friendly neighborhood Stackbooster CEO and resident Kubernetes whisperer. Prometheus 3.0 has officially landed, and it’s more exciting than a Friday night Kubernetes rollout (just kidding, nothing beats that thrill). What's new in Prometheus 3.0 (apart from the fancy version
We're gearing up for KubeCon + CloudNativeCon 2025 in London! We recently finished an unbelievable week at CloudFest 2025 in Germany, and wow, what an event. From sharp minds to sharp ideas, the energy was magnetic. We had eye-opening discussions regarding cloud cost control, AI-powered scalability, and how K8s
We’ve just landed at CloudFest 2025 in Germany, and let me tell you - it’s already shaping up to be an incredible event. The energy here is unmistakable, with a packed schedule of keynotes, discussions, and some seriously interesting tech on display. And, of course, it’s the
The Scaling Illusion: Why "Auto" Doesn’t Always Mean "Optimized" AWS Autoscaling promises a dream scenario - your infrastructure scales up and down automatically, ensuring optimal performance without breaking the bank. Sounds great, right? In theory, yes. In reality, many companies end up overpaying, underutilizing, or
💡The AWS Cost Paradox: More Optimization, Yet Higher Bills Have you ever opened your monthly AWS invoice and thought, “Is this real?” I’ve heard that exact gasp more times than I can count. Honestly, it’s a little unsettling — especially for teams who thought they had everything under control.