infrastructure▌

Encore Go uses declarative infrastructure - you define resources as package-level variables and Encore handles provisioning:

Reduce infrastructure costs through intelligent resource allocation, reserved instances, spot instances, and continuous optimization without sacrificing performance.

Encore.ts uses declarative infrastructure - you define resources in code and Encore handles provisioning:

ln-743-test-infrastructure

Build scalable infrastructure as code with Terraform, managing AWS, Azure, GCP, and on-premise resources through declarative configuration, remote state, and automated provisioning.

Complete API specification for Agentica multi-agent coordination infrastructure.

Design and scale internal platforms by abstracting common capabilities and planning infrastructure before hitting limits. \n \n Focuses on understanding platform purpose, assessing organizational readiness, identifying leverage points, and designing for actual developer adoption rather than theoretical needs \n Emphasizes invisible infrastructure qualities like reliability, performance, and privacy as critical success factors alongside visible features \n Recommends proactive infrastructure scal

Recommend Azure VM sizes, scale sets, and configurations based on workload type, performance needs, and budget. \n \n Analyzes workload requirements (web, database, ML, batch, HPC) and recommends appropriate VM families, sizes, and instance counts without requiring an Azure subscription \n Supports both single VMs and VM Scale Sets (VMSS) with guidance on autoscaling, load balancing, and orchestration modes (Flexible vs Uniform) \n Queries the unauthenticated Azure Retail Prices API to provide c

Fast discovery and inventory of Azure resources across subscriptions using Resource Graph queries. \n \n Queries any Azure resource type (VMs, storage accounts, web apps, container apps, Key Vaults, etc.) across subscriptions and resource groups using KQL \n Identifies orphaned resources, missing tags, and resources in specific states without needing dedicated MCP tools \n Routes single-resource-type queries to specialized MCP tools (compute, storage, cosmos, acr, aks) when available; falls back

Analyze Azure resource groups and generate detailed Mermaid diagrams visualizing resource relationships and architecture. \n \n Discovers all resources within a resource group and maps their interdependencies, including network connections, data flows, identity bindings, and configuration references \n Generates layered Mermaid diagrams with logical grouping by function (Network, Compute, Data, Security, Monitoring) and includes SKU, tier, and configuration details in node labels \n Creates comp