FUTURE

The Future of AI-Powered Software Delivery

Evolved from orchestration platform to building comprehensive organizational context

2025 Roadmap

Next-Generation AI Agents

Self-Healing Infrastructure

Autonomous system repair with safe change propagation

  • Detect issues using orchestrator context
  • Diagnose problems across multiple tool chains
  • Propagate fixes safely without breaking organization guard-rails
  • Learn from patterns to prevent similar issues

FinOps Agents

Automated actions from FinOps triggers

  • Integrates with FinOps Tools and creates remediation plans
  • Analyze the context to assess risk and resolution process
  • Automated PRs to blueprints to propagate changes in a safe way
  • Assess Turn around time and optimize

Data & ML Workloads

Native support for data operations

  • Native support for data workloads like Databricks, Snowflake
  • Empower DataOps teams
  • ETL, warehouse & Notebook change propagation
  • Opensource Spark, airflow reference implementation

Hybrid Cloud

Expand cloud horizon

  • Integrate with various sovereign and private clouds across geography
  • k3s, rancher and various k8s distributions
  • Efficient models for hybrid cloud support
  • On-premise native support
2026

In the Labs

Launching early 2026

Infrastructure from code

Automated infrastructure from application code. Scan application code and suggest optimal infrastructure configuration

Unified Cloud Intelligence

Bring all SDLC data at one Data Warehouse. Standardize organization wide metrics, Build CTO Dashboards and analyze productivity

Marketplace of contract-driven IaC

Community contributed contract-driven IaC. Contribute and consume community-led reusable IaC modules with built-in best practices

Comparison

Product Comparison

Why Orchestration Beats Alternatives

DIY Platform Reality

What enterprises attempt

  • Custom platforms for each workload
  • 30+ Manual Tool integrations
  • Project-specific maintenance
  • High cost of the building process
  • 12-18 months to partial functionality

Facets Delivers

Production-ready platform

  • Pre-built contracts
  • Reusable automation blocks
  • 85% reduction in maintenance
  • Proven at scale
  • 4-8 weeks to production

DIY Platform Reality Check

$1-$3M
Annual DIY platform costs
30+
Tools; requiring manual integration
60%
DevOps time on glue scripts
Rigid
Limited extensibility

Facets vs GitOps Solutions (ArgoCD, Flux)

Philosophy

Duct tape for existing systems
Coordination for new systems

Infrastructure

Assumes it already exists
Orchestrates provisioning first

Dependencies

No awareness between layers
Handles automatically across stack

Tool Coordination

Manual coordination required
Automated across all chains

Configuration

Manual setup of URLs, secrets
Auto-discovery via contracts

Deployment Scope

Kubernetes-only focus
Full-stack orchestration
Transformation

Traditional Teams vs Facets-Powered Teams

Team Focus

Ticket processors
Innovation enablers

Environment Creation

Days to weeks waiting
Minutes self-service

Process

Separate infra/app workflows
Unified deployment pipeline

Standardization

Fragmented across teams
Enforced through contracts

Security

Audited after deployment
Built into contracts

Knowledge

Trapped in individuals
Codified in platform
Category

Market Position

Gartner® Recognition

Featured in multiple Gartner® reports

  • Hype Cycle™ for Platform Engineering, 2024 & 2025
  • Hype Cycle™ for SRE 2024 & 2025
  • Market Guide for Infrastructure Automation & Orchestration 2025
  • Reference Architecture Brief: Infrastructure Platform Engineering, 2025

Industry Partnerships & Events

Strategic partnerships and recognition

  • CNCF Silver Member
  • Techcrunch Disrupt 2022
  • Thought leadership in Infrastructure Platform Engineering Category
  • AIxDevOps podcasts and office hours

Ready to Experience the Future?

See why leading companies choose orchestration over DIY platforms and context-driven AI in SDLC.