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Pulumi
✓ verifiedFreemium
Infrastructure-as-code platform to define and manage cloud resources in general-purpose languages, with an AI infra agent for teams.
1.9K saves
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Pump
✓ verifiedFree
Free cloud cost-optimization platform that pools buying power to give startups enterprise-level AWS, GCP, and Azure discounts.
64K visits/mo3.2K saves
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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
Individual: $0 forever (1 user, 500 deployment minutes, 5M Neo tokens/mo)
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
Core features
- ✦IaC in multiple general-purpose languages
- ✦State management for projects, stacks, and environments
- ✦Neo AI infrastructure agent
- ✦Secrets and configuration management
- ✦Registry of 170+ providers and reusable packages
- ✦Insights, governance, and compliance remediation
- ✦Automated cloud spend optimization
- ✦Group buying for enterprise discounts
- ✦Cost visibility and insights dashboards
- ✦Coverage across AWS, GCP, and Azure
- ✦No-cost service model
- ✦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
- →Provisioning multi-cloud infrastructure programmatically
- →Managing secrets and environment configuration
- →Building internal developer platforms
- →Automating deployments with CI/CD
- →Reducing startup cloud bills
- →Automating reserved-capacity savings
- →Gaining visibility into multi-cloud spend
- →Accessing enterprise pricing without scale
- →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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