Infrastructure
19 articles about infrastructure.
New Startups Building AI Agent Infrastructure in 2025 and 2026
A practical survey of the new startups building AI agent infrastructure across Linux, desktop, and API layers in 2025 and 2026, with technical comparisons and architecture patterns.
Running AI Agent Swarms on Kubernetes
How to deploy AI agent proxies on GKE, handle websocket defaults that break long-running connections, and scale agent swarms without losing state.
AWS Q4 2025 Results - What $35B Cloud Revenue Means for AI Agent Infrastructure Costs
AWS grew 24% to $35.6B in Q4 2025 with 35% operating margins. Here's what that margin story means for developers building AI agent infrastructure and how to avoid the cloud cost squeeze.
API Endpoints That Stay Alive - Health Checks, Heartbeats, and Warm Connections
A 200 OK response means almost nothing. Here is how to implement real health checks, application-level heartbeats, and connection pooling that keep AI agent integrations reliable - with working code examples.
AWS Certification That Changed Architecture
Certifications teach what a platform can do. Building teaches what it should do. Both matter for AI agent infrastructure decisions.
Mapping AI Agent Permissions in Cloud with Graph-Based Inventories
How Cartography and graph-based tools map AI agent permissions, blast radius, and access patterns across AWS, GCP, and Azure before a security incident forces you to.
Uptime Lies - Co-Failure Patterns in AI Infrastructure
Five services sharing the same Postgres instance all report 99.9 percent uptime individually. But when the database goes down, they all fail together.
Why We Still Don't Have a Proper Control Plane for LLM Usage
LLM API costs need the same control plane infrastructure that manages cloud compute: rolling budgets, automatic model downgrade, per-project quotas, and real-time analytics. Here is how to build one now.
Data Availability Transfer Notes: The Hidden Bottleneck
Data availability is the hidden bottleneck in AI agent systems. Agents stall not because they lack capability, but because the data they need is not
DevOps Is Mostly Glue Scripts - And AI Agents Are Great at That
Day-to-day DevOps at startups is writing automation scripts that connect services. AI agents that can operate your desktop turn this glue work into
The Infrastructure That Makes Agent Networks Possible
Shared state, not communication, is the bottleneck for agent networks. Agents that can read and write to common state without coordination overhead
Invisible Infrastructure in AI Agent Systems - The Scripts That Run Silently
The best AI agent infrastructure is invisible until it breaks. Understanding the cron jobs, daemon processes, and silent pipelines that keep agent systems
The Missing Tools in the AI Agent Ecosystem
AI agents need tools that do not exist yet - universal UI element inspectors, cross-app state managers, and reliable desktop APIs. Here is what is missing.
Keep Your SaaS Stack Simple - Lessons from Building a macOS Desktop App
Vercel, a single Postgres instance, and basic logging. When your product is a macOS desktop app, a simple stack lets you focus on the product instead of
Singapore as a Safe Host for AI Agents
Singapore delivers 99.999% uptime, sub-50ms latency to 600M+ people, and stable tech regulation. For always-on AI agents where interrupted workflows are worse than slow ones, infrastructure reliability beats cheap compute.
Supabase Auto-Pause - Free Tier Limits and Health Checks That Actually Write
Supabase free tier databases auto-pause after inactivity. Read-only health checks do not prevent this. You need health checks that perform writes to keep
What Actually Makes Agent Networks Work - The Boring Stuff
The boring infrastructure - health checks, retry logic, queue management, logging - is what separates agent demos from agent systems that run in production
Your AI Agent Needs a Control Plane - LLM Routing, Token Budgets, and Fallbacks
Why AI agents need infrastructure for routing between Claude and local models, tracking token budgets, retrying with fallback, and audit logging.
Running an AI Desktop Agent 24/7 on a Mac Mini
How to run an AI automation agent around the clock on a Mac Mini M4. launchd vs cron, context management, and overnight batch processing.