Safe Deployment Window Recommender
HCLTech · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Software release failures often stem from deploying at the wrong time. The Safe Deployment Window Recommender is an autonomous agent that ingests change-management records (e.g., change_id, service, region, start/end times, outcome, rollback flag) and learns patterns to predict safe, low-risk deployment windows. It highlights hours with high success and low rollback probability, surfaces blackout/freeze periods, and provides actionable slot recommendations to reduce risk, increase efficiency, and improve success rates for DevOps teams.
Why Use This Agent?
Show the rest of the publisher’s description (13 more lines)
Saves Time: No more manual combing through change logs or coordinating across teams. The agent automatically analyzes historical data and recommends the best deployment windows—cutting planning time from hours to minutes.
Reduces Risk: Avoids windows with high failure or rollback rates, and flags blackout/freeze periods that could disrupt releases.
Improves Accuracy: Uses AI-powered pattern recognition to make informed decisions based on real-world outcomes, not assumptions.
Boosts Efficiency: Teams can focus on building and shipping features, not worrying about when to deploy.
Scales Seamlessly: Built on Amazon Bedrock, it integrates easily with AWS services and scales with your infrastructure.
Continuously Learns: The agent adapts to new data, improving its recommendations over time as deployment patterns evolve.
Key Benefits
Minimized Deployment Risk: Avoids historically high-failure windows and flags blackout/freeze periods, reducing the likelihood of rollbacks and outages.
Accelerated Release Cycles: Recommends optimal deployment slots, enabling faster and safer software releases.
Data-Driven Decisions: Uses historical change data and AI-powered pattern recognition to guide deployment planning.
Improved Success Rates: Boosts deployment reliability by identifying windows with high success probability.
Scalable Intelligence: Built on Amazon Bedrock, ensuring enterprise-grade scalability, security, and seamless integration with AWS services.
Autonomous & Adaptive: Continuously learns from new data to refine recommendations and adapt to evolving deployment patterns.
Highlights
Highlighted by the publisher on AWS Marketplace.
Risk Reduction: Avoids high-failure windows and flags blackout/freeze periods.
Operational Efficiency: Offers pre-vetted, low-risk deployment slots based on real historical outcomes.
Success Optimization: Uses Bedrock-hosted foundation models to recommend high-confidence deployment windows.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-07-01
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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