Continuous Cloud Optimization at Scale
Cloud environments evolve continuously. Resources become overprovisioned, workloads drift from optimal configurations, commitments lose efficiency, and infrastructure costs climb without clear accountability.
Traditional optimization approaches rely heavily on periodic reviews and manual execution, causing organizations to miss savings opportunities and operate inefficiently.
Andromeda continuously identifies, prioritizes, and executes optimization opportunities across compute, storage, networking, Databricks, Kubernetes, Snowflakes, databases, and cloud commitments.
- Rightsizing recommendations and automation
- Idle resource detection
- Automated start/stop scheduling
- Network and load balancer optimization
- Approval-based optimization orchestration
- RI/SP coverage and utilization optimization
- Continuous optimization tracking and reporting
- Cost allocation across accounts, subscriptions, projects, and business units
- Policy-driven optimization workflows
- Kubernetes rightsizing and optimization
- Databricks optimization insights
- Storage optimization and orphaned resource cleanup
Business Outcomes
Accelerate financial investigations: With Agent Sherlock’s conversational AI interface, finance and FinOps teams can investigate cost anomalies, billing discrepancies, and budget overruns in minutes rather than days. Instead of manually querying dashboards and stitching together data across multiple cloud providers, users can simply ask natural-language questions and receive instant, AI-synthesized answers with full context. This dramatically compresses investigation cycles and ensures that financial issues are identified and resolved before they compound into larger budget risks.
Improve operational productivity: By automating the most time-consuming aspects of cloud financial operations including data aggregation, report generation, and anomaly triage, Andromeda frees FinOps practitioners, engineers, and finance teams to focus on higher-value strategic work. Agent Sherlock handles repetitive analytical tasks through AI-driven orchestration, reducing the operational burden on teams and enabling them to manage larger, more complex cloud environments without proportionally scaling headcount.
Reduce dependency on manual reporting: Traditional cloud cost reporting relies on manually built dashboards, scheduled exports, and siloed spreadsheets that are often outdated by the time they are reviewed. Andromeda eliminates this dependency by enabling on-demand, AI-generated financial reports that pull from live, unified data across all cloud environments. Teams no longer need to wait for monthly reporting cycles or rely on data engineers to produce custom extracts. Accurate financial intelligence is always available, on demand.
Enable faster optimization and governance actions: Speed of insight must translate into speed of action. Andromeda closes the loop between financial visibility and operational response by surfacing AI-driven optimization recommendations directly within the Agent Sherlock workflow. Teams can identify inefficiencies, evaluate remediation options, and initiate governance actions such as rightsizing, commitment purchases, or policy enforcement without leaving the conversational interface. This tightens the feedback loop between observation and action, enabling organizations to continuously optimize cloud spend in real time.
Cloud optimization is not a one-time exercise.
Organizations require continuous governance and automated optimization to keep pace with dynamic cloud environments. Andromeda transforms cloud optimization from a reactive activity into an ongoing operational capability.