Progress Chef Infra Client 19 has new habitat-based packaging system, smooth installs and faster upgrades.

AI and platform engineering are taking over IT Ops and Progress Chef is leading the way. Find out how.

Discover how Progress Chef simplifies configuration management with modern features like YAML and JSON recipes, agentless execution, local mode and robust testing via Test Kitchen. Learn why Chef is now easier to adopt and scale than Ansible, especially for compliance, heterogeneous environments and enterprise needs.

Infrastructure environments naturally drift over time as small, undocumented changes accumulate across systems. While traditional configuration management helps define and enforce a desired state, modern infrastructure moves too quickly for periodic convergence alone to be sufficient. This blog explains how Progress Chef 360 extends traditional configuration management into a continuous operations model by combining Desired State Management (DSM), drift detection, orchestration, compliance validation, operational visibility, and AI-assisted automation. Using a Kubernetes vulnerability remediation scenario, the blog demonstrates how organizations can: Define and maintain a desired state across infrastructure. Detect configuration drift and identify impacted systems. Generate remediation workflows using AI-assisted automation. Orchestrate changes through governed workflows. Validate outcomes using compliance checks. Continuously maintain governance and operational consistency. The core message is that modern infrastructure teams need more than configuration convergence—they need a continuous operational framework that can detect drift, automate remediation, validate results, and maintain compliance across constantly changing hybrid environments.

Large enterprises often operate across multiple automation tools and failures usually stem from governance gaps rather than the tools themselves. This post identifies four recurring breakpoints - human-owned execution paths, runtime mismatches, fragmented targeting and weak execution evidence and explains why governing execution is more important than consolidating tooling. It encourages teams to assess recent incidents through these lenses before pursuing automation standardisation.

Skill Lifecycle Hooks in the Progress Chef® 360™ platform allow administrators to automate operational tasks before and after skill installation, updates, and removal. By embedding custom scripts directly into a Skill Definition, organizations can standardize deployment workflows, perform prerequisite checks, validate installations, execute cleanup tasks, and improve operational consistency across managed infrastructure. This article explains how Skill Lifecycle Hooks work, walks through their configuration, and shares best practices for implementing reliable and secure lifecycle automation.

Automation failures often stem not from bad tools, but from unmanaged execution. When separate approved workflows collide, organizations pay hidden costs in investigation, coordination, recovery, audits, and delays. Platform-governed automation provides a single trusted execution path, improving visibility, control, accountability, and trust without requiring teams to rewrite existing automation.

Gartner's 2026 ThreatScape identifies software supply chain attacks as a top enterprise security threat. Learn why build-chain assurance matters for infrastructure automation and how organizations can evaluate the security, accountability and trustworthiness of the software managing their environments.

Notification Management in the Progress Chef 360 Platform helps organizations stay informed about important infrastructure and platform events through centralized, configurable notifications. Administrators can configure notification providers, while users can personalize their notification preferences to receive updates relevant to their roles. This article explores the core concepts of Notification Management, walks through the configuration process, and highlights best practices for improving operational visibility and reducing response times across enterprise environments.

Most enterprises have succeeded with automation, but often in disconnected silos using tools such as Chef, Ansible, Puppet, Terraform and custom scripts. This creates "automation islands" where teams lack visibility into each other's changes, making audits, troubleshooting and governance difficult. Rather than attempting costly rip-and-replace standardisation efforts, organisations should implement a shared execution layer that governs how automation is executed across tools. This approach improves visibility, auditability, execution control and operational consistency while allowing teams to continue using their existing automation investments.

A practical guide to upgrading from CINC to Chef 360, covering migration phases, key considerations and how to transition to a cloud-native, policy-driven automation platform while minimizing risk and maximizing the long-term value.

Apply a zero-trust, policy-driven lifecycle model to NVIDIA DGX Spark using Chef. Standardise AI infrastructure, enforce compliance and manage workloads at enterprise scale.