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AI Agent Infrastructure Devops Deployment Dev Infrastructure Software Development

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

StackGen

✓ verifiedPaid

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

13K visits/mo

Frugal

✓ verifiedFree trial

FinOps tool that maps cloud and AI spend to the code driving it and auto-generates cost-cutting pull requests.

9.7K visits/mo

Dagster

✓ verifiedFreemium

Open-source asset-based data orchestrator, with Dagster+ cloud, for building, observing and delivering reliable data and AI pipelines.

152K visits/mo

Releem

✓ verifiedFree trial

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

22K visits/mo5.1K saves

Pricing

No public pricing

Free trial available

Solo: $10/mo + $0.040/credit (1 user)

Starter: $100/mo + $0.035/credit (up to 3 users)

Free trial available

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

Core features

✦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

✦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

✦Maps cloud costs to the code that drives them
✦Cost-impact review on every pull request
✦Frugalbot agents that generate cost-reducing PRs
✦Coverage of storage, logs, AI APIs, serverless and databases
✦GitHub and GitLab workflow integrations

✦Asset-based pipeline orchestration
✦Built-in lineage and data-quality checks
✦Data catalog with asset metadata
✦Native dbt, Snowflake and Fivetran integrations
✦Branch deployments and hybrid deployment
✦Open-source core plus managed Dagster+ cloud

✦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

Use cases

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

→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

→Cut usage-based cloud and AI bills
→Add cost reviews to the development workflow
→Guide developers and AI agents to write cheaper code
→Find savings that infrastructure right-sizing misses

→Orchestrate ETL/ELT and dbt pipelines
→Monitor data health and lineage
→Build AI/ML data pipelines
→Run reliable, observable data platforms

→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

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