Google Kubernetes Engine Reviews

GitHub MCP Server Reviews

Google Kubernetes Engine mentions (54)

• The Fairwater Paradox: Microsoft Built a Monster That Needs 900TB/Second of USEFUL Data

  Have you ever tried to coordinate 84,000 anything? I helped launch Google Kubernetes Engine. Coordinating 1,000 nodes was hard. 84,000 storage accounts? That's not engineering. That's prayer. - Source: dev.to / 3 months ago

• Bridging the Gap: Future Directions for Kubernetes and Distributed Systems

  When Pokémon GO launched, the world went wild. At Google, we watched as our product, Google Kubernetes Engine, handled a scale we had only theorized about. The game shattered every record for a consumer workload and became a massive success story for Kubernetes and cloud-native orchestration. - Source: dev.to / 3 months ago

• Google Just Split Its TPU Into Two Chips. Here's What That Actually Signals About the Agentic Era.

  TPU 8t and TPU 8i will be available to Cloud customers later in 2026. You can request more information now to prepare for their general availability. The chips are integrated into Google's AI Hypercomputer stack, supporting JAX, PyTorch, vLLM, and XLA. Deployment options range from Vertex AI managed services to GKE for teams that want infrastructure-level control. - Source: dev.to / 4 months ago

• This is Cloud Run: A Decision Guide for Developers

  Teams that need truly stateful workloads (ML model serving with warm caches that must survive across deploys, game servers with persistent connections beyond 60 minutes) find GKE's persistent volumes and StatefulSets a more honest fit. - Source: dev.to / 5 months ago

• Maximizing Efficiency with Dev Containers: A Developer's Guide

  In this section, we'll explore the scenario of connecting to a container that's running within a Kubernetes cluster pod. For demonstration purposes, we're using the Google Kubernetes Engine (GKE) service. - Source: dev.to / about 1 year ago

GitHub MCP Server mentions (18)

• Do unused MCP tools cost you money?

  I have a small "GitHub summarizer" agent: one system prompt, one job — answer questions about my GitHub account by calling the GitHub MCP server. I duplicated its configuration (MAVERIK supports this directly — same model, same prompt, same everything) and changed one field on the copy: the set of attached MCP servers, adding deepwiki, microsoft-learn, and context7. Neither agent needs any of those three for the... - Source: dev.to / 11 days ago

• Every API Will Be Rebuilt for Agents

  GitHub's official MCP server is excellent — and GitHub is narrowing its default toolset and consolidating PR tools into fewer, more capable ones, explicitly to cut tool bloat and improve agent reasoning. The implication is hard to miss: even one of the best API companies on the planet is learning that a 1:1 mapping from product API to agent tools isn't the right shape. - Source: dev.to / about 2 months ago

• Your AI Agent Has Push Access to Every Repo

  The official GitHub MCP server registers 83 tools. Most people set it up for reading code and managing issues. What they don't realise is they've also handed their agent the keys to:. - Source: dev.to / about 2 months ago

• Helping Claude Do Its Best Work

  A lot of people use MCP servers to connect Claude to tools. I'm not generally a fan. MCP servers load a lot of information into context and often don't do everything that the API can. Last I looked, even the official Github MCP Server is guilty of this. I'd rather write tools directly, to my specifications. - Source: dev.to / 4 months ago

• Kiro showcase: Automating Changes Across Several Repos with Spec-Driven Development and Custom Sub-Agents

  Rather than manually searching through repositories, I used Kiro with the GitHub MCP server to:. - Source: dev.to / 4 months ago