Ship Software 10x Faster with AI-Powered Orchestration
Transform your 30+ disconnected tools into a unified platform. Achieve 100% standardization. Give developers self-service.
AI Accelerated Development not Delivery
Delivery is still Fragmented with multiple tools orchestrated through humans
Where Code Gets Stuck
- AI writes features in hours. Infra takes weeks.
- 30+ tools need manual coordination per deploy.
- Weeks for environments.
- Every team needs custom infra setup.
Orchestration Closes the Gap
- Deploy code as fast as you merge.
- Unifed Orchestration. Zero manual steps.
- Self-service environments in minutes.
- Reusable blueprints & standardized deployments.
Three Steps towards Intelligent Orchestration
Modern Delivery is missing a unified model and a way to orchestrate
Platform Team Builds Contracts
Centralized, reusable infrastructure modules with standardized interfaces
- Eliminate fragmentation across teams
- Contracts = Centrally sourced modules
Developers create a Blueprint
Developers use contracts to provide a blueprint of their project
- Drag-and-drop modules to create their blueprint
- Blueprint = Single Unifed Model
Orchestrator puts them together
Joins Blueprints and Contracts to create environments
- Automated delivery of Terraform, Helm, CI/CD, and monitoring
- Unifed Orchestration = Zero Drift
Platform Team Builds Contracts
Centralized, reusable infrastructure modules with standardized interfaces
- Eliminate fragmentation across teams
- Contracts = Centrally sourced modules
Developers create a Blueprint
Developers use contracts to provide a blueprint of their project
- Drag-and-drop modules to create their blueprint
- Blueprint = Single Unifed Model
Orchestrator puts them together
Joins Blueprints and Contracts to create environments
- Automated delivery of Terraform, Helm, CI/CD, and monitoring
- Unifed Orchestration = Zero Drift
Viewing: Platform Team Builds Contracts
The Problems You're Solving Today
Without an orchestrator, challenges compound as you scale - but the right solutions scale with your organization
Managing Environments
New deployments for regional expansion & customer deployments
- Launch a new environment in 15 mins
- Zero Configuration Drifts
- Multi-cloud environments from a single blueprint
Environment-as-a-commodity
" We manage 15+ global deployments with 20+ services each. Facets made this complex setup surprisingly efficient."
What Facets Can Orchestrate
Plus Extend the Integration suite with Terraform
Technology & Architecture
Built for Enterprise Reality
Enterprise Deployment
Your infrastructure, your control, your data
Terraform-Native Orchestrator
All operations transparent and auditable through Terraform
AI Agent Ecosystem
Next-generation AI agents with organizational context
Stay Updated with Facets
Latest insights, customer stories, and live content
What Engineering Productivity means now: The DORA lens
In the 6th episode of the AI x DevOps podcast, host Rohit Raveendran sits down with Nathen Harvey, the lead at DORA at Google Cloud Platform, to dissect the groundbreaking findings of the 2025 DORA Report. This deep dive explores how AI is transforming engineering productivity and what it really takes to succeed in the modern software delivery landscape. ### AI as an Amplifier, Not a Magic Wand Discover why AI is categorized as an "amplifier" rather than a "magic wand." Learn how solid existing practices are essential for AI to truly yield results, and why organizations with poor foundations struggle to benefit from AI adoption. ### The Platform Engineering Revolution Understand why 90% of survey respondents have now adopted platform engineering and what this massive shift means for DevOps teams. Explore the practical implications of this transformation and how teams are navigating the change. ### Navigating the J-Curve of Productivity Learn about the J-Curve phenomenon—the initial performance dip during transformation—and practical strategies to navigate this challenging period to reach higher stability and efficiency on the other side. ### AI-Centric Platform UX Engage with the thought-provoking question: Should platforms be redesigned to serve AI agents as primary users? Explore the implications of AI-first design thinking for internal developer platforms. ### Beyond Dashboards: Measuring What Matters Move beyond static dashboards toward team reflection and experimentation to genuinely improve software delivery. Learn why metrics alone aren't enough and how to foster a culture of continuous improvement. Essential listening for platform engineers, engineering leaders, DevOps practitioners, and anyone interested in understanding how DORA metrics and AI are reshaping software delivery performance.
Nathen HarveyRuntime Behavioral Nudging for Large Language Model Agents
A comprehensive framework for dynamic behavioral guidance in LLM agents through invisible context injection. Learn how runtime nudging enables just-in-time behavioral guidance without modifying user input or restricting agent capabilities.
Anshul SaoOCI...The Next Standard for AI Infrastructure?
Explore why OCI is emerging as the winning standard for AI/ML artifacts and how standardization is bringing order to the fragmented MLOps landscape with Görkem Ercan, CTO at Jozu
Rohit Raveendran2-Week GCP Migration Enables Multi-Cloud Distribution at Scale
How Refold AI leveraged Facets to transform their AWS-native integration agent platform into a multi-cloud distributed solution, enabling rapid deployment across AWS, GCP, and on-premise environments for their global distributor network.
Abhishek KumarKubernetes Agent for Natural Language Debugging
Discover how Facets' new Kubernetes Agent revolutionizes cluster management by enabling natural language debugging and secure troubleshooting. This episode showcases our AI-powered orchestrator that maintains proper guardrails and permissions while making Kubernetes operations conversational and intuitive. ### Live Demonstrations & Key Features Watch real-time troubleshooting as we diagnose a pod restart issue caused by missing sidecar files, identify and fix Redis deployment memory configuration problems, and demonstrate CPU usage analysis with Prometheus integration. See how the agent maintains security through user-scoped access controls while providing powerful debugging capabilities. ### Technical Deep Dive Explore the architecture behind Facets' Kubernetes Agent and how it orchestrates AI agents with secure infrastructure access. Learn about multi-tool integration supporting kubectl, Helm, and pod exec operations, plus natural language debugging that works with your existing permissions and kubeconfig setup. ### Audience Q&A Highlights Get answers to key questions about historical log analysis capabilities, chat history persistence and session management, integration possibilities with tools like Cursor and MCP, and comparisons with existing tools like ChatGPT and K9s. Plus, discover future plans for custom tool integration and blueprint generation. ### Perfect For DevOps Engineers looking to streamline Kubernetes troubleshooting workflows, Platform Engineers interested in AI-powered infrastructure management, Site Reliability Engineers seeking efficient debugging solutions, and Development Teams wanting to reduce time spent on cluster-related issues.
Anuj HydrabadiWhy Speed is the Only Moat: Acceldata’s Approach to Developer Velocity
Join Acceldata's engineering leadership as they reveal how speed became their ultimate competitive advantage. This isn't just another productivity talk — it's a deep dive into the systematic approach that transformed their development organization into a velocity powerhouse. In enterprise software delivery, speed has long been treated as a tradeoff, something to be sacrificed in favor of reliability, security, and stability. Acceldata, serving data observability needs for global enterprises, takes the opposite view: sustained speed is the only durable competitive moat. Key insights you'll gain: - **Friction assessment:** A practical method to find where developers lose time (local setup, environment drift, CI/CD bottlenecks) - **Platform blueprint:** How an internal platform standardizes the happy path for development - **Service templates:** Consistent starting points for new projects - **Golden pipelines:** Battle-tested CI/CD with sensible defaults - **Ephemeral environments:** On‑demand environments for realistic validation - **Progressive delivery:** Safe rollout patterns that reduce shipping anxiety - **Automated rollbacks:** Safety nets that make it cheap to change direction Measurement strategy: - **Core metrics:** Cycle time, change failure rate, lead time, deployment frequency - **Keep it practical:** Focus on a few signals that reflect real work, not hundreds of vanity metrics Cultural transformation: - **Autonomy with alignment:** Empower teams while keeping standards - **Lifecycle automation:** Automate the unglamorous but critical parts - **Paved‑road workflows:** Standardized paths with room to experiment - **Development observability:** Visibility across the entire delivery flow - **Feedback loops:** Continuous, high‑quality feedback to drive improvement Real‑world results: - **Shipping velocity:** 30 major releases in six months - **Service creation:** New services in minutes, not days - **Onboarding:** Hours instead of weeks - **Deployments:** Higher frequency with greater reliability - **Process visibility:** Clear insight into bottlenecks and waste This session provides a complete roadmap—from friction mapping to platform capabilities to the metrics that prove impact. It’s designed for engineering leaders, platform engineers, DevOps teams, and team leads looking to scale velocity without sacrificing reliability.
Ashwin RajeevaBegin your orchestration journey today
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