Introduction
On July 9, 2026, the Pega as-a-Service Expert Circle hosted a focused, hands-on webinar exploring how Pega Deployment Manager can become the engine for continuous improvement in your DevOps practice. Led by Tihomir (Timo) Petrovic, Principal System Architect and DevOps Evangelist, and Madhuri Vasa, Product Manager for Deployment Manager, the session walked attendees through the reporting capabilities, quality controls, and pipeline transparency features that help teams deploy faster, smarter, and with greater confidence. Whether you are at the start of your DevOps journey or refining an established pipeline, this webinar had something for everyone. 🎬 Watch the full recording here.
Key Highlights
Pega Deployment Manager: The No-Code Foundation
At its core, Pega Deployment Manager is a no-code solution that delivers out-of-the-box (OOTB) processes for testing and deploying Pega Infinity applications. It translates Pega paradigms into automated, governed workflows — removing guesswork and manual overhead from your release cycle. Its prescriptive merge and deployment processes are structured around four types of gates — Quality, Security, Stability, and Packaging — each designed to catch issues before they reach production.
Automated Quality Gates: Built-In Guardrails
The webinar gave a detailed look at what happens behind the scenes during each deployment cycle:
- Developmental checks validate branch guardrail scores, best practice adherence, and flag any overrides or conflicts.
- Packaging ensures test assets, branches, and application rule locks are all in order before promotion.
- Security & Stability checks scan for vulnerabilities and tampering, run automated tests, and trigger Pega Diagnostic Center (PDC) sign-offs for production readiness.
Reporting as a Measurement System
One of the session's most compelling themes was treating reporting not as an afterthought, but as a measurement system. Every pipeline run generates signals — pass/fail outcomes, task durations, bypassed checks — and those signals tell a story about your delivery health.
- The Application Quality Report tracks best practice adherence and quality metrics over a configurable period of up to six months, making it easy to spot deviations and accumulating technical debt.
- The Release Insight (Pipeline Report) surfaces benchmarks such as deployment frequency, average time to production, and time spent on specific tasks or failure points.
Release managers are encouraged to use these reports strategically: identify the top failure tasks for remediation, replace single-approver bottlenecks with distribution lists, and verify that test automation is covering the right scenarios.
What's Coming Next
The roadmap is exciting. AI-powered insights are on the way, including risk scoring and intelligent recommendations during the approval process. Blueprint integration will enable auto-creation of pipelines from Blueprint imports - a significant step forward for teams working at scale.
