Reducing #Kubernetes cost while improving system performance and resilience KPIs is a top priority for many companies in 2023. A great place to start is optimizing your Pod resources. See how @PerfectScale_io PodFit solution can help!.#DevOps #k8s #Cloud .

Join our Kubernetes Optimization Workshop (GPUs Included!) . free training + live Q&A with CNCF leaders . 📍 Tuesday, July 29, 2025, 12:00PM EST. 👉 Answer: Overprovisioned workloads wasting money.

Q: 💻📦📦📦📦📦📦 ➕ 🚫⚙️ ➕ 💰🔥.A:.

Are your LLM workloads draining your budget? Join the live GPU-inclusive K8s optimization workshop!.#kubernetes #devops #sre #gpus #llms .

→ Register now! Spots are limited!..#devtool #kubernetes #devops #llms #k8s #genai #finops #sre

🎉 Now Available! .GPU visibility: Drive precise K8s optimization with granular GPU insights. Get full visibility into GPU utilization across the entire Kubernetes environment with PerfectScale’s GPU visibility feature. This release empowers your team to pinpoint inefficiencies

🚨 Run LLMs on Kubernetes? Stop burning the budget on idle GPUs. Learn the field-tested strategy to cut costs without breaking your cluster reliability. Join Arthur Berezin (VP Product @PerfectScale) & Anton Weiss (Chief Cluster Whisperer) for a power-packed workshop built for

🎉 Now Available! .GPU visibility: Drive precise K8s optimization with granular GPU insights. Get full visibility into GPU utilization across the entire Kubernetes environment with PerfectScale’s GPU visibility feature. This release empowers your team to pinpoint inefficiencies

👇TODAY👇 .If you're deploying LLMs or GenAI in production, you already know the pain:. → GPU quotas are hard to manage. → Scaling is unpredictable. → Kubernetes isn’t designed for this… or is it?. Join us for a live webinar that shows you how to run and scale Generative

FinOps isn’t a buzzword. It’s an evolution. → Cloud has been around for 23 years. And just like any powerful innovation, it brought complexity. → Managing cloud spend went from “track your usage” to a whole new discipline: FinOps. And it keeps evolving. → From observational.

If you're deploying LLMs or GenAI in production, you already know the pain:. → GPU quotas are hard to manage. → Scaling is unpredictable. → Kubernetes isn’t designed for this… or is it?. Join us for a live webinar that shows you how to run and scale Generative AI on

PerfectScale by DoiT × Kedify | LIVE WORKSHOP → Event-driven vs. Resource-based: Choosing the Right Scaling Approach for K8s Workloads | June 24, 2025 · 12:00PM EST .→ Join a hands-on session tackling real-world Kubernetes autoscaling with event-driven scaling and intelligent

You’re growing fast on GKE. But so is your cloud bill? 🤔.To budget effectively, you need to understand how GKE editions and modes work—and which is right for your team. Get the full pricing breakdown → #kubernetes #gke #googlecloud #devops #cloud

Running GKE but your cloud bill keeps growing?. → GKE is powerful, but unmanaged costs can eat your budget fast. Clusters scale, workloads expand, and suddenly you’re paying for what you don’t use. → From right-sizing with autoscalers to using Spot VMs and Committed Use.

PerfectScale Docs are now LIVE!.No more guessing, no more digging — everything you need to optimize Kubernetes at scale is now in one place. From smart autoscaling strategies to cost-saving automation — it’s all documented, searchable, and constantly updated. Start exploring →.

[Workshop] How to simplify #GKE node management using Node Auto-Provisioning (#NAP) . Most teams still manage their node pools manually. That means overprovisioning, underutilization, and spiraling cloud bills. What if your cluster could just create the right node pools for you?

→ AI just became kubectl fluent. ▲ With AutoGen v0.4 and Ollama, we built Kaia — a simple AI agent that helps troubleshoot Kubernetes issues by running real commands and reflecting on the results. Start here: #devops #kubernetes #k8s #ai #genai.

Join Patrick Debois + Anton Weiss to learn the mechanics behind GenAI for developers + operators. 📍 Thursday, April 24 2025, 12:00pm EST. → From RAG to MCP, we’ll show you real code and real answers ↓.→ Save your seat now ↓ . #genai #devops.

Karpenter gives you real-time, cost-aware node provisioning. But what if you could take it even further?. Pair Karpenter with PerfectScale and gain:.→ 30–50% additional cost reduction.→ Smart right-sizing based on real usage.→ Fewer pods evicted, smoother consolidations. 💰.

→ Think Karpenter will solve all your autoscaling problems?. ✅ It can right-size nodes, optimize costs, and scale fast. ⚠️ But misconfigurations can break things just as fast. 👀 From misaligned expectations to EC2 limits,.Karpenter has traps you need to sidestep:.—.

→ Are you really getting the most out of Karpenter?. ▶ Most teams follow best practices:.✓ expireAfter for node rotation.✓ do-not-disrupt for critical pods.✓ PDBs, terminationGracePeriod, etc. But sometimes these practices backfire. Like when "do-not-disrupt" blocked node.