SOFTWARE & SYSTEMS
Cloud cost optimization under strict SLOs
Cloud cost optimization under strict SLOs is an OpenEnv-compatible reinforcement learning environment in our Software & Systems catalog. An agent acts through the tools below, and a deterministic verifier scores every episode, so the reward can be used for GRPO or other RLVR post-training.
Task and verification
Right-size cluster instances, database tiers, and autoscaling policies to reduce monthly infrastructure spend while provably preserving p99 latency and availability SLOs.
Tools and runtime
Infracost + k6 load generator + p99 latency gates
OPENENV / COST-SLO
Related Software & Systems gyms
- Lean 4 formal theorem proving
- Kernel / Triton GPU optimization
- SQL transformation & query optimization
- Database query plan performance tuning
- Compiler optimization pass verification
- Concurrency race & deadlock repair
- Production incident reproduction & RCA
- Mutation testing & test suite hardening
- Automated software migrations & refactoring
- Enterprise network verification (Batfish)
- Protocols & distributed safety (TLA+)
- Quantum-circuit compilation & routing
- Research mathematics & symbolic conjectures
- Desktop OS agentic computer use (QEMU)
See how these environments are run privately on the custom RL environments page, and how their rewards are made hard to game in our verifier design guide.
Plan a training run
Check the environment’s availability, compatible models and compute in Studio. A catalog entry does not guarantee that hosted training is enabled for your workspace.