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Ship new models with confidence — automated rollback before users feel a thing.

CanaryShield

Orchestrates canary, blue-green, and shadow deployments for ML models, routing production traffic gradually to new model versions while monitoring for performance regressions. Eliminates the all-or-nothing model swap that causes production incidents when a new model underperforms on edge-case inputs.

Why It Matters

CanaryShield removes the scariest moment in production ML — the model swap.
Instead of an all-or-nothing cutover that bets the business on untested edge-case behavior, new models earn production traffic gradually, with automated rollback firing before users ever notice a regression.
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No more all-or-nothing swaps

Canary, blue-green, and shadow deployments expose new models to real traffic incrementally — edge-case failures surface on 5% of requests, not 100%.

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Rollback on business KPIs, not just tech metrics

A model can be technically healthy while quietly approving bad loans or missing fraud — KPI-based triggers catch business-level regressions technical monitoring misses.

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Confidence to ship faster

When rollback is automatic and instant, teams release model improvements continuously instead of hoarding changes into risky quarterly big-bang deployments.

The Cloudly Advantage

CanaryShield brings Cloudly’s DevOps heritage to its logical ML conclusion — progressive delivery for models, the practice we already implement for software.
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DevOps credibility transfer

Canary and blue-green deployment are our CI/CD Implementation bread and butter — extending them to ML models is the most natural product-service pairing in the portfolio.

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Unblocks conservative buyers

Risk-averse BFSI and healthcare clients hesitate to put models in production at all — automated rollback is the safety argument that converts stalled pilots into production contracts.

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Completes the serving stack

InferenceGateway serves the models, CanaryShield governs how they change — bundled, they're a production ML operation no naive deployment matches.

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Istio and Argo services depth

Service mesh traffic management and Argo Rollouts operations are premium Cluster Services and DevOps consultancy engagements with ongoing operational revenue.

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AIOps monitoring pull-through

KPI-based rollback triggers require the business-metric observability our AIOps and AWS Monitoring services build — every deployment includes a monitoring engagement.

The Final Takeaway

Incident-cost sales pitch — One production model incident in fraud or lending can cost more than the entire platform — BD can anchor pricing against the incidents CanaryShield prevents.

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Istio/Envoy traffic splitting

Core to the CanaryShield technology stack.

Argo Rollouts

Core to the CanaryShield technology stack.

Seldon Core

Core to the CanaryShield technology stack.

AWS ALB weighted routing

Core to the CanaryShield technology stack.

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