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Facets Cloud Named in 2026 GartnerĀ® Market Guide for AI Assistants for Infrastructure as Code
AI writes features in hours. Infrastructure still takes weeks. GartnerĀ® inaugural Market Guide for AI Assistants for IaC names Facets Cloud for its Facets Intelligence (Praxis) as a Representative Vendor. Here's what changed and why it matters.
The Quiet $1M Leak in Your Engineering Org
The costs are visible. The potential savings hiding inside them aren't. Three calculations ā grounded in DORA research ā make them obvious.
Runtime 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.
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 Gƶrkem Ercan, CTO at Jozu
Infrastructure Platform Engineering: Facets Mentioned in Gartner's Reference Architecture Brief
Gartnerās Reference Architecture Brief: Infrastructure Platform Engineering named Facets Cloud in its Catalog access section.
AI DevOps Reality: Field Report from the Enterprise Trenches
Understand the real-world impact of AI in DevOps with AWS Senior Container Specialist, Sanjeev Ganjihal
Unifying Your Toolchain: Introducing the Facets Orchestration Platform
Learn how an infrastructure orchestrator allows platform engineers to become enablers, enabling developers to self-service.
Mastering Cloud Interoperability with Cloud-agnostic Blueprints
Leverage Cloud Interoperability for seamless cloud migration between AWS, Azure, GCP - automated documentation, zero downtime, consistent environments, enabling agile multi-cloud strategies.
Unifying Your Software Delivery Lifecycle (SDLC): The Power of Blueprints
Learn how blueprints, a declarative representation of your entire application architecture can replace the fragmented approach by providing a single source of truth for all elements of your software product
When AI Writes Code, Who Writes the Guardrails: Addressing AI Security Risks
Learn about the security risks when building AI-powered products, including prompt injection, common vulnerabilities, and architectural pitfalls.
From APIs to MCPs: Rethinking the Interface Between LLMs and Infrastructure
When should you build an MCP (Model Context Protocol) server? Get practical insights, real examples, and decision criteria for seamless LLM-tool integration.
Rethinking Kubernetes Fleet Management: From Central Control to Platform Engineering
Managing multiple Kubernetes clusters? Learn how platform engineering approaches solve fleet management challenges by balancing team autonomy with standardized automation.