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AI Agent Infrastructure Devops Deployment Dev Infrastructure Software Development

Defang

✓ verifiedFreemium

Developer tool that deploys Docker Compose apps (with LLMs and databases) into your own AWS, GCP or Azure account via one command.

20K visits/mo

StackGen

✓ verifiedPaid

Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.

13K visits/mo

K8sGPT

✓ verified

Diagnoses Kubernetes issues in plain English; well-known open-source developer tool.

8.7K visits/mo510 saves

Releem

✓ verifiedFree trial

Continuously analyzes MySQL, MariaDB, and PostgreSQL workloads to recommend and safely apply configuration and query fixes.

22K visits/mo5.1K saves

Middleware

✓ verifiedFreemium

Full-stack observability platform with an AI SRE agent that detects, debugs, and auto-fixes issues across infra, apps, and users.

47K visits/mo713 saves

Pricing

Starter: $0 (1 cloud account)

Pro: $49/mo (1 account, +$29/mo per extra)

Enterprise: $499/mo (3 accounts, +$49/mo per extra)

No public pricing

Starter: $39/month billed annually (1 database server, or $49/month on-demand)

Scale: $123/month billed annually (up to 5 database servers, or $199/month on-demand)

Hosting: $99/month (up to 9 database servers)

Free trial available

No public pricing

Core features

✦One-command deploy from Docker Compose
✦Deploys into your own or a customer's cloud account
✦Native managed LLM access (Bedrock/Vertex/Azure AI)
✦Managed Postgres, MongoDB and Redis
✦Auto-configured IAM, VPC, TLS and load balancing
✦Open-source CLI and cloud providers

✦Automated service discovery and dependency topology mapping
✦SLO-based alert triage and prioritization
✦AI-driven root cause analysis with pre-built workflows
✦Human-approved remediation with full audit trails
✦Works alongside existing tools like Datadog, Grafana, New Relic
✦Governance and policy enforcement layer for agent actions

✦AI-Powered Analysis of Kubernetes clusters
✦Data Anonymization
✦Support for multiple AI providers (OpenAI, Azure, Google, etc.)
✦Auto Remediation of common Kubernetes issues
✦Claude Desktop Integration
✦Fine-Grained Control & Guardrails
✦Local AI Models support

✦Workload-based configuration tuning
✦SQL query analytics and optimization suggestions
✦Schema optimization (duplicate/unused index detection)
✦24/7 automated health and security monitoring
✦One-command agent installation
✦Human approval required before applying changes

✦Infrastructure and application performance monitoring
✦Log monitoring with AI insights
✦Real user monitoring
✦OpsAI SRE agent for detection and auto-fix
✦Synthetic and browser testing
✦LLM observability

Use cases

→Shipping AI agents and web apps to production
→Deploying the same app across many customer clouds
→Agencies deploying into client cloud accounts
→Avoiding hand-written Terraform or Kubernetes

→SRE teams reducing mean-time-to-resolution during incidents
→Platform engineers wanting policy-governed AI infrastructure management
→Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations

→Diagnosing and fixing Kubernetes issues with AI-driven insights
→Automated troubleshooting and remediation of cluster problems
→Enhancing Kubernetes management with Claude Desktop integration
→Analyzing cluster state and identifying potential problems
→Improving Kubernetes workflows

→Database teams reducing manual tuning workload
→Hosting providers optimizing customer databases at scale
→Engineering teams without a dedicated DBA fixing performance issues
→AWS RDS users tuning managed database instances

→Monitor full-stack app and infra health
→Debug incidents faster with AI
→Correlate frontend and backend issues
→Observe Kubernetes and cloud environments

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