Choreo is an AI-native internal developer platform as a service that empowers both platform engineers and software engineers by simplifying software delivery and operations and enterprise software engineering. With Choreo you can: • Accelerate software delivery: Automate developer workflows, reduce bottlenecks, and scale dynamically. • Modernize with agility: Transform apps into modern, scalable, and secure units of work an harness the power of K8s without the steep learning curve. • Optimize cloud costs: Deliver instant ROI, optimize costs intelligently, and align usage with real-time demand. • AI-powered: Choreo equips developers to ship code faster with embedded AI tools, while giving AI builders the infrastructure to build and deploy AI apps seamlessly. • 10X your platform engineering: Enable developer self-service, abstract platform complexities while being in control, and reduce repetitive tasks with intelligent defaults. Some key capabilities for software engineers include: • Cloud native application development: Get the scalability, performance, and reliability benefits of the cloud. • API-first development: Build powerful APIs, services, events, and tasks using any programming language. • Enterprise application modernization: Continuously evolve and adapt to changing technology landscapes. • Multi-cloud and hybrid cloud deployments: Deploy cloud native apps across Azure, AWS, GCP, or your Kubernetes clusters effortlessly. • GenAI app deployment: Easily build and deploy production-grade Generative AI applications. • Insights and analytics: Insights into engineering efficiency and app performance to optimize processes, identify bottlenecks, and make data-driven decisions. Some key capabilities for platform engineers include: • Automating CI/CD and GitOps: Eliminate manual processes with Choreo’s CI/CD pipelines, offering complete control, reliability, and flexibility. • Observability and monitoring: Monitor your DevOps efficiency and achieve faster, safer production deployments using Choreo’s integrated DORA metrics. • Enabling developer self-service: Create self-service environments where developers can independently build, deploy, and manage their apps. • Optimizing cloud costs & resource optimization: Use AI to automatically optimize costs and maximize resource efficiency without overspending. • Managing multi-cloud deployments: Deploy cloud native applications across Azure, AWS, GCP, or your Kubernetes clusters, ensuring portability and flexibility. • Security enablement: Simplify security management with managed data flows, authentication, authorization, and zero-trust security by default.