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MCP Registry with Azure API Center

Azure just droppedMCP Center, showing off howAzure API Centercan double as a private registry forModel-Centric Protocol (MCP) servers. It’s built for internal use—think secure discovery, tight OAuth 2 auth, centralized control, and AI Gateway rules baked in. Handy when teams need to corral AI tools.. read more  

MCP Registry with Azure API Center
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Anthropic Revokes OpenAI’s API Access to Claude, Alleging Violation Ahead of GPT-5 Launch

Anthropic just yanked OpenAI’s API access to Claude. Reason? Alleged violations of terms that forbid using Claude to train rival models—like GPT-5. Windsurf, an OpenAI acquisition target, got the boot earlier too. Spot the pattern: tighten access, box out competitors. System shift:APIs aren’t just .. read more  

Anthropic Revokes OpenAI’s API Access to Claude, Alleging Violation Ahead of GPT-5 Launch
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Who does your assistant serve?

OpenAI’s release of GPT-5 backfired: instead of excitement, users felt betrayed by a forced upgrade that stripped away the warmth and reliability they had come to rely on in GPT-4o. Many treated the model as more than a tool — a companion, therapist, or emotional support — so when its personality sh.. read more  

Who does your assistant serve?
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AWS deleted my 10-year account and all data without warning

AWS permanently nuked a 10-year customer account—data, backups, everything—after a payment verification failed. That alone broke their own 90-day retention policy. It gets messier. Looks like an internal script meant to run as a “dry run” went full send in production. Blame a Java CLI parsing edge .. read more  

AWS deleted my 10-year account and all data without warning
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AWS Lambda now supports GitHub Actions to simplify function deployment

AWS Lambda just got a smoother ride to prod. There’s now a nativeGitHub Actions integration—no more DIY scripts to ship your serverless. On commit, the new action packages your code, wires up IAM viaOIDC, and deploys using either.zip bundles or containers. All from a tidy, declarative GitHub workfl.. read more  

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We built an MCP server so Claude can access your incidents

Incident.io dropped an open sourceMCP server in Gothat plugs Claude into their API using theModel Context Protocol. That means Claude can now ask questions, spin up incidents, and dig into timelines—just by talking. The server translates Claude’s prompts into REST calls, turning AI babble into real.. read more  

We built an MCP server so Claude can access your incidents
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How to use Terraform to generate secrets

Terraform just leveled up secret handling inAzure Key Vault. It now supports automated secret generation withrandom_password, plus full lifecycle control—rotation, expiration, and storage—baked right into your IaC. Secrets stay marked as sensitive. They're managed in one place. And thanks to Terraf.. read more  

How to use Terraform to generate secrets
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Does platform engineering make sense for startups?

Platform engineering isn't just for the big dogs anymore. Startups are picking it up as astrategic edge, building tight, high-leverage tooling from day one. Think:templated CI/CD pipelines, plug-and-play infra modules, zero-handoff onboarding. Done right, these early bets smooth the path and keep d.. read more  

Does platform engineering make sense for startups?
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A practical guide on how to use the GitHub MCP server

GitHub offers a managed MCP endpoint to simplify infrastructure management and streamline AI workflows, enhancing collaboration and code review processes... read more  

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Proton launches free standalone cross-platform Authenticator app

Proton just droppedProton Authenticator, a free 2FA app that actually respects your privacy. It’s cross-platform, offline-friendly, and skips the usual junk—no ads, no trackers, no bait-and-lock-in. It’s gotend-to-end encryption, a biometric lock, and lets youexport TOTP seedslike it’s your data (b.. read more  

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).