Leading the Future of Platform Engineering
Consistently recognized by Gartner® for two consecutive years in Self-Service Environment Management and Infrastructure Platform Engineering categories
Recognition
Referenced in Gartner's Reference Architecture Brief for Infrastructure Platform Engineering.
Gartner® Hype Cycle™ for Platform Engineering, 2025
Included as a Sample Vendor for Self-Service Environment Management category.
Acknowledged in Self-Service Environment Management category.
Listed as a representative vendor providing infrastructure automation and orchestration capabilities.
Gartner® Hype Cycle™ for Platform Engineering, 2024
Mentioned in the Self-Service Environment Management category as a Sample Vendor.
Hype Cycle for Site Reliability Engineering, 2024
Facets is mentioned in the context of platform engineering and infrastructure automation capabilities.
Defining the Categories
Our perspective on the transformative categories that are reshaping how enterprises build and operate software
Self-Service Environment Management
The paradigm shift from ticket-based operations to developer autonomy
- Declarative; Not TicketOps
- Launch a new environment in 15 mins
- Zero Configuration Drifts
- Environment Lifecycle Automation
Environment-as-a-commodity
" We manage 15+ global deployments with 20+ services each. Facets made this complex setup surprisingly efficient."
Platform Capabilities at a Glance
Features designed for Platform Teams, Developers and streamlining releases
For Platform Teams
Features for platform teams to standardize and govern infrastructure
Module Registry
Build Central registry of approved, reusable modules with version control and security compliance
Developer Abstraction
Build Developer abstraction in the Terraform Modules for giving developer friendly abstractions
Project Types
Pre-configure templates for Kubernetes, data pipelines, microservices, and ML platform architectures
Contract Validation
Build-time validation with security policy enforcement, cost controls, and dependency checking
For Developers
Self-service, that empower development teams to move fast
Visual Blueprint Canvas
Drag-and-drop interface with real-time validation. Connect resources to create your achitecture
Environment Lifecycle
Create, clone, scale environments from blueprints in minutes with instant rollback capability
Hyperconverged Configurations
Single blueprint manages infrastructure and applications configuration creating a unified declarative view to manage
Single Pane of Glass
Unified view of all releases, resource states and configuration drifts across environments and cloud
Release & Orchestration
Core engine that powers reliable, scalable infrastructure automation
Unified Release Pipeline
Single pipeline for infrastructure, configuration, and applications with atomic releases
Smart Promotion
Intelligent change promotion with dependency resolution and approval workflows
Environment Management
Hibernate environments when not-in-use, schedule releasess and configure safe release windows
Zero-Drift Enforcement
100% IaC-driven operations preventing manual changes with real-time drift detection and alerts
The Road Ahead
Innovations that will transform platform engineering in 2025 and beyond
AI-Generated Environment Blueprints
Our AI Module Writer will automatically create environment templates based on application needs, eliminating manual blueprint creation.
Self-Optimizing Environments
AI-powered environments will automatically optimize for cost, performance, and security without developer intervention.
Intelligent Resource Management
AI will predict and right-size environment resources automatically, ensuring optimal performance while minimizing waste.
Explore Further
Deep dives, case studies, and insights from our platform engineering journey
OCI...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 RaveendranAI meets MLOps - Making sense of the mess
In this episode of AI x DevOps, Rohit sits down with Görkem Ercan, CTO at Jozu, a company building a DevOps platform for AI agents and models. Görkem, a veteran with over two decades of software experience (including contributions to the Eclipse Foundation), explains why MLOps is fundamentally different from traditional, deterministic DevOps—leading to extreme pipeline fragmentation. ### Standardization is Key Discover why OCI is the recognized standard for packaging AI/ML artifacts, and how the Model Packs project (with ByteDance, Red Hat, and Docker) is defining the artifact structure. Learn how standardization is bringing order to the fragmented MLOps landscape. ### Open Source Challenges Understand the critical challenges maintainers face when receiving large amounts of untested, verbose, AI-generated code. Görkem shares insights on the impact of AI-generated Pull Requests on open-source projects. ### LLM Economics and Strategy Explore why running small, fine-tuned LLMs in-house can be cheaper and provide more predictable, consistent results than generic large providers. Get practical insights on when to build versus buy. ### KitOps Solution Learn how KitOps creates an abstraction that allows data scientists to focus on training while leveraging existing DevOps platforms for deployment. Discover how ModelKits are simplifying the AI/ML deployment pipeline. Essential listening for platform engineers, DevOps practitioners, MLOps engineers, and anyone working at the intersection of AI and infrastructure. Tune in to understand the standardization movement reshaping the future of AI development.
Görkem ErcanInfrastructure Platform Engineering: Facets Mentioned in Gartner's Reference Architecture Brief
Gartner’s Reference Architecture Brief: Infrastructure Platform Engineering named Facets Cloud in its Catalog access section.
Pravanjan ChoudhuryKubernetes 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 RajeevaFirst Environment Live in 1 Week with AI-Powered GCP Migration
How ZeonAI Labs leveraged Facets' AI agents to achieve the first environment migration in 1 week and establish self-service operations with 3 daily releases for their agentic platform
Biswa SinghExperience Our Infrastructure Platform
See why Gartner® has recognized Facets for self-service environment management & Infrastructure Platform Engineering