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Progressive Delivery Without the Rollback Scramble

Roll out features gradually with feature flags and canary releases so bad deploys affect 1% of users, not 100%.
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Trusted and top rated tech team

"Curotec has provided top-notch developers that have been invaluable to our team. Their expertise and dedication leads to consistently outstanding results, making them a trusted partner in our development process."
Jen hired nearshore developers from Curotec
Jennifer Stefanacci
Head of Product, PAIRIN
"We're a tech company with a rapidly evolving product and high development standards; we were thrilled with the work provided by Curotec. Their team had excellent communication, a strong work ethic, and fit right into our tech stack."
Kurt hired nearshore developers from Curotec
Kurt Oleson
Director of Operations, Custom Channels

Release to a subset of users first.

Deploying code and releasing features don’t have to be the same thing. Most teams ship to everyone at once and hope nothing breaks. We implement progressive delivery with feature flags, canary releases, and ring deployments so you can validate with real traffic, catch problems early, and roll back by flipping a switch instead of redeploying.

Our capabilities include:

Who we support

Shipping to everyone at once turns every release into a gamble. We help teams control who sees what so they can validate features with real users before going all-in.

Teams With All-or-Nothing Releases

Every deployment goes to 100% of users immediately. There's no way to test with a subset first. Feature flags let you ship code dark and release to 1% before you release to everyone.

Companies With Painful Rollbacks

When something breaks, rolling back means redeploying, which takes time and coordination. Kill switches let you disable a broken feature in seconds without touching the pipeline.

Organizations Running Blind Experiments

You want to A/B test but lack the infrastructure. Product decisions rely on opinions instead of data. Experimentation frameworks give you real metrics on what actually works.

Ways to engage

We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.

Staff Augmentation

Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.

Retainer Services

Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.

Project Engagement

Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.

We'll spec out a custom engagement model for you

Invested in creating success and defining new standards

At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.

Pairin
Helping a Series B SaaS company refine and scale their product efficiently

Why choose Curotec for progressive delivery?

Our engineers implement release controls that your team actually uses. We set up feature flags, canary releases, and experimentation infrastructure that integrate with your existing CI/CD pipeline. You get gradual rollouts and instant rollback without adding complexity or slowing down deployments.

1

Extraordinary people, exceptional outcomes

Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration. 

2

Deep technical expertise

We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.

3

Balancing innovation with practicality

We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.

4

Flexibility in our approach

We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.

Release controls that put you in charge

Percentage-Based Rollouts

Start at 1%, watch your metrics, then increase to 10%, 50%, 100% as confidence grows instead of betting everything on one deploy.

User Segment Targeting

Release to internal teams, beta users, or specific regions first so you validate with friendlies before exposing everyone.

Metric-Driven Promotion

Tie rollout progression to error rates, latency, and conversion metrics so releases advance automatically when thresholds pass.

Instant Kill Switches

Disable a broken feature in seconds without redeploying, coordinating teams, or waiting for a pipeline to complete.

Flag Audit and Cleanup

Track which flags are active, who owns them, and when they should be removed so temporary toggles don't become permanent debt.

SDK Integration

Connect feature flags to your frontend and backend with SDKs that evaluate locally for fast decisions without network latency.

Tools to release with confidence

Feature Flag Platforms

Our engineers implement flag management platforms that give you control over who sees what without touching your deployment pipeline.

  • LaunchDarkly — Enterprise feature management platform with targeting rules, audit logs, and SDKs for controlling releases across web, mobile, and backend
  • Split — Feature delivery platform with built-in experimentation, metric tracking, and automated rollout policies based on performance data
  • Flagsmith — Open-source feature flag service with self-hosted and cloud options, remote config, and multi-environment management
  • Unleash — Developer-focused open-source platform with flexible targeting strategies, gradual rollouts, and GitOps-friendly configuration
  • ConfigCat — Lightweight flag management with instant propagation, percentage rollouts, and integrations for teams that want simplicity
  • Harness Feature Flags — Feature management integrated with CI/CD pipelines, governance controls, and automated rollback on metric degradation

Experimentation & A/B Testing

Curotec configures experimentation infrastructure that lets you test variations with real users and measure what actually works.

  • Optimizely — Enterprise experimentation platform with A/B testing, multivariate experiments, and AI-powered personalization for product decisions
  • VWO — Conversion optimization platform with A/B testing, heatmaps, and session recordings for understanding user behavior and validating changes
  • Statsig — Product experimentation platform with automated statistical analysis, feature gates, and real-time metrics for data-driven releases
  • Eppo — Warehouse-native experimentation tool that runs analysis on your existing data stack for accurate, trustworthy experiment results
  • GrowthBook — Open-source A/B testing platform with Bayesian statistics, feature flags, and integrations with your analytics warehouse
  • Amplitude Experiment — Experimentation tied to product analytics so you can target cohorts, run tests, and measure impact in one platform

Canary Release & Traffic Shifting

We set up progressive rollout tools that route traffic percentages to new versions and roll back automatically on failures.

  • Argo Rollouts — Kubernetes controller for canary deployments, blue-green releases, and automated rollback based on metrics from Prometheus or Datadog
  • Flagger — Progressive delivery operator that automates canary analysis, traffic shifting, and promotion with service mesh and ingress integration
  • Istio — Service mesh with traffic splitting, weighted routing, and fine-grained control over which percentage of requests hit new versions
  • AWS App Mesh — Managed service mesh for gradually shifting traffic between task versions in ECS and EKS with built-in health checks
  • Linkerd — Lightweight service mesh with traffic splitting capabilities for canary releases without the complexity overhead of heavier meshes
  • Spinnaker — Multi-cloud continuous delivery platform with canary analysis, automated rollback, and deployment strategies across cloud providers

Release Observability

Our teams integrate monitoring that tracks release health so you know when to advance, hold, or roll back based on real data.

  • Datadog — APM and infrastructure monitoring with release tracking, deployment markers, and dashboards that correlate releases with error spikes
  • Honeycomb — Observability platform with high-cardinality queries for debugging releases and understanding exactly which users are affected by changes
  • New Relic — Full-stack observability with deployment tracking, error analysis, and SLO monitoring to validate releases against performance targets
  • Grafana — Visualization platform for building release dashboards that show error rates, latency, and business metrics during rollouts
  • LaunchDarkly Metrics — Built-in experimentation metrics that tie feature flag changes to conversion, performance, and custom business outcomes
  • Split Metrics — Automatic metric tracking that measures feature impact and triggers alerts when releases degrade key performance indicators

CI/CD Integration

Curotec connects feature flags to your pipeline so releases can be gated, promoted, or reverted as part of your existing workflow.

  • GitHub Actions — Workflow automation that gates deployments on flag status, triggers rollouts on merge, and syncs flag state with pull requests
  • GitLab CI/CD — Pipeline integration for promoting releases through environments with feature flag checks and automated canary progression
  • CircleCI — Orbs and workflows that connect feature flag state to build pipelines for conditional deployments and staged rollouts
  • Harness — Continuous delivery platform with native feature flag support, pipeline governance, and automated rollback on failure detection
  • Jenkins — Plugin ecosystem for integrating flag management into legacy pipelines with stage gates and deployment verification
  • Argo CD — GitOps deployment tool that syncs feature flag configuration alongside application manifests for declarative release management

SDKs & Evaluation Libraries

We implement client and server SDKs that evaluate flags locally for fast decisions without adding latency to every request.

  • LaunchDarkly SDKs — Client and server libraries for JavaScript, React, Node, Python, Go, and mobile with local evaluation and streaming updates
  • OpenFeature — Vendor-neutral SDK standard that lets you switch flag providers without rewriting application code or changing integration patterns
  • Flagsmith SDKs — Open-source libraries with local evaluation mode, offline support, and edge caching for fast flag decisions at runtime
  • Split SDKs — Evaluation libraries with built-in impression tracking, local caching, and streaming connections for real-time flag updates
  • Unleash SDKs — Client libraries with offline mode, bootstrap support, and flexible targeting strategies for frontend and backend integration
  • ConfigCat SDKs — Lightweight libraries with lazy loading, polling intervals, and webhook support for teams prioritizing simplicity and speed

FAQs about our progressive delivery

CI/CD gets code to production. Progressive delivery controls who sees it after deployment. You can deploy a feature to all servers but only release it to 1% of users. They work together — CI/CD handles the pipeline, progressive delivery handles the rollout.

Not with proper implementation. SDKs evaluate flags locally using cached rules, so decisions happen in microseconds without network calls. We configure streaming updates so flag changes propagate in seconds without polling overhead.

Flags should have owners, expiration dates, and removal plans from day one. We implement lifecycle tracking that shows which flags are stale, who owns them, and when they were supposed to be cleaned up. Temporary flags don’t become permanent.

Yes. Feature flags work at the application layer and don’t require infrastructure changes. You can start with simple percentage rollouts in your code, then add canary releases and traffic shifting later as your practices mature.

We tie rollouts to metrics you already track — error rates, latency, conversion. You define thresholds, and releases advance automatically when metrics stay healthy or roll back when they degrade. No more guessing.

Most teams do, usually inconsistent implementations scattered across services. We consolidate existing flags into a managed platform, standardize evaluation patterns, and clean up the ad-hoc toggles that have accumulated.

Ready to have a conversation?

We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.

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