Opsani

Opsani is a cloud-native, AI-powered Continuous Optimization (CO) platform designed to automatically fine-tune application infrastructure for both cost and performance. Tailored for DevOps engineers, site reliability teams, cloud architects, and IT leaders operating on AWS, Azure, GCP, or Kubernetes environments, Opsani addresses the escalating complexity and expense surrounding modern cloud deployment. As cloud application environments scale in complexity—where even a simple five-container workload can yield over 255 trillion potential configuration permutations—traditional manual tuning is no longer viable. Opsani steps in with advanced machine learning and reinforcement learning to dynamically explore millions of resource and parameter combinations. It tunes everything from CPU and memory, middleware configurations (e.g., JVM GC types and pool sizes), kernel settings (e.g., page size, jumbo frames), to application-level parameters such as thread pools, cache timeouts, and autoscaler policies. This continuous, autonomous optimization adapts to shifting traffic patterns, new code deployments, evolving infrastructure, and changing business goals, delivering optimal performance at minimized cost PR Newswire +1 . Real-world results validate Opsani’s effectiveness. Customers report up to 80% reduction in cloud spend, and an impressive 200%+ increase in performance per dollar—all within minutes or hours of deployment PR Newswire +1 The Silicon Review . Leading enterprises such as Intuit and Ancestry have benefited notably—Ancestry observed over 50% cost reductions alongside up to 230% improvements in operational efficiency The Silicon Review . Another fintech player managing 1,300 virtual machines across multiple platforms saw a 67% cost reduction and saved millions in a single quarter

Opsani distinguishes itself from competitors by delivering autonomous, fine-grained, and adaptive cloud optimization—redefining how DevOps teams manage cost, performance, and complexity. Performance & Automation: Rather than merely monitoring or alerting like traditional APM tools, Opsani actively adjusts infrastructure and application parameters in real time. It uses reinforcement learning to continuously evaluate and apply millions of combinations autonomously—achieving results like 200%+ performance improvements per dollar and up to 80% cost savings overnight PR Newswire +1 . Pricing & Value: Opsani shifts cloud optimization from a manual, resource-intensive task to a hands-off, high-impact service. The ROI is clear: major clients report multi-million-dollar savings per quarter and performance efficiency gains up to 230% The Silicon Review . This stark contrast in cost vs. benefit positions Opsani well ahead of manual tuning or static optimization tools. UX & Integration: Seamlessly integrates with the DevOps toolchain—supporting GitHub, Terraform, Jenkins, Spinnaker, Wavefront, DataDog, Prometheus, Splunk, and more across AWS, Azure, GCP, and Kubernetes stacks PR Newswire +1 . Its autonomous tuning coupled with full CI/CD pipeline integration means no new management layer—the system applies optimizations with imperceptible friction. Technology & Unique Capabilities: Opsani optimizes across the full application stack—infra, middleware, OS kernel, application settings—including autoscaler behavior PR Newswire . Its continuously learning engine refines its recommendations over time as code, load patterns, and infrastructure evolve—creating a “self-optimizing” perimeter that scales with demand PR Newswire . Real-World Validation: Ancestry: Achieved 50% cost reduction and 230% performance efficiency gains The Silicon Review . Fintech SaaS provider: Managed to cut cloud spend by 67%, saving millions in one quarter The Silicon Review . Intuit: Reported over 70% cost reduction and faster time-to-production due to autonomous optimization

• Enterprise