Every engineering team is building agents. Nobody's managing them. Agents scattered across repos. Running on personal API keys. Accessing production systems with zero oversight. No versioning. No rollback. No audit trail. It's the early days of cloud computing all over again, and we know how that ends without a control plane. Build anywhere. Run on Guild. guild.ai
Engineering Teams Lack Control Over Agents
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Kubernetes drives a growing share of cloud costs. As these workloads scale, a shared cost foundation for FinOps and engineering teams is vital. That’s why we’ve introduced IBM Cloudability Advanced Containers, powered by IBM Kubecost, to bring real-time K8s analytics, optimization, and automation directly into Cloudability. Learn more in our blog 👉 https://ibm.co/6042EyiiI
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Provisioning infrastructure shouldn’t be chaotic. Define what you need → validate → generate → plan & cost → policy check → review → deploy. Clear steps. Full visibility. No surprises in production. That’s how IaC should work. #DevOps #IaC #PlatformEngineering #Cloud #EKS
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Hired to build AI, but stuck doing DevOps? 🤯 Hourly GPU rates are a trap. Between egress fees, storage setups, and hours wasted managing Kubernetes, the hidden costs of Hyperscalers add up fast. We did the math. Running 8x H100s for a year on a Hyperscaler vs. VESSL Cloud? 💸 The difference is over $73,000. Stop building infrastructure. Start training instantly. ⚡ Read our 2026 GPU Cloud Comparison to see the real numbers: 👉 https://lnkd.in/gVzJwmwi
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As I wrap up the last few chapters of Site Reliability Engineering, I just got an email that my next book Systems Performance: Enterprise and the Cloud has shipped! What are some other must have books for platform and cloud engineers that I should add to the shelf?
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Claude and Cursor are both going hard at automagically running agents in the cloud. For them this is the 10x and 100x tokens consumed to justify the valuations. If you're looking to get started with automagically triggered agent tasks, heres my 2 favorites: 1. Find and delete dead code caused by this change 2. Find and fix documentation drift relating to this change The first alone has resulted in net 8k lines deleted in the last month. We'v been running similar workloads in GH actions for about 4 months now. For us the best results have to do with keeping the project healthy. Definitely not implemeting features with 10 hour running tasks. We run currently 5 of these per commit reviews and for very small changes these are all combined into a single task. In addition we run a few weekly reviews that don't make changes but just discuss need to evolve architecture and such. Full prompt to dead code review in comments. Happy to share (slightly redacted versions) of any other tasks in comments.
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DevOps and FinOps share a common goal: keeping cloud spending under control while maintaining high performance. Shifting FinOps strategies left helps teams work together to prevent waste, maximize efficiency, and build a culture of collaborative optimization. Read guide: https://stwb.co/eeapehl
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One of the hardest parts of cloud engineering isn’t building infrastructure. It’s deciding what not to build. Every new service, tool, or abstraction increases operational surface area. The best systems often look simple from the outside. Because someone deliberately kept them that way. #CloudDesign #PlatformEngineering #DevOps
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These days, I have started paying more attention to what happens after a system goes live. Not just the deployment itself, but the days that follow. How it behaves under pressure. How it handles small changes. How predictable it really is. #DevOps #Cloud #Engineering
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