Best CI/CD for gated releases and progressive delivery?

When you need robust gated releases (compliance, security scans, manual/automated approvals) paired with progressive delivery (canary shifts, blue-green, metric-driven automated rollbacks), looking at a single monolithic tool rarely cuts it. The modern industry standard is a hybrid separation of concerns : a traditional CI/CD orchestrator handles the "gated build & test" phase, while a cloud-native GitOps/progressive delivery engine handles the live rollout.

The top combinations and platforms optimized for this workflow break down as follows:

1. The Gold Standard for Kubernetes: Argo Ecosystem (Argo CD + Argo Rollouts)

If your target is Kubernetes, this is the most powerful and widely adopted pairing.

• Gated Releases: Handled via your CI engine (GitHub Actions or GitLab CI/CD ) which runs unit tests, SAST, container builds, and updates an image tag in a Git repository or Helm values file.
• Progressive Delivery: Argo Rollouts replaces standard Kubernetes deployments with a custom resource that natively supports blue-green and canary updates. It ties directly into metrics providers (Prometheus, Datadog, New Relic) to automatically promote or rollback traffic based on real-time error rates and latency.
• Why it shines: Granular, step-by-step weight shifting with deep visibility in the Argo dashboard. It can handle both automated analysis and manual approval gates during the rollout phase.

2. The Cloud-Native Minimalist: Flux CD + Flux Flagger

If you prefer a decentralized, push-less GitOps model over a central management server:

• Gated Releases: Handled by your preferred CI pipeline validating pull requests and pushing artifacts to a container registry.
• Progressive Delivery: Flagger (by Weaveworks/CNCF) acts as a progressive delivery operator that works with Flux, mesh/ingress tech (Istio, Linkerd, Traefik, APISIX), and standard deployments.
• Why it shines: Flagger is heavily focused on fully automated analysis and rollback loops. If a canary spike causes error metrics to breach thresholds, Flagger reverts the traffic shift instantly without requiring human intervention.

3. The Enterprise All-In-One: Harness

If you do not want to stitch together separate CI and CD/progressive tools:

• Gated Releases: Harness CI handles builds with built-in governance, approval workflows, and OIDC compliance checks.
• Progressive Delivery: Harness CD has native, first-class continuous verification. It automatically connects to your APM tools, learns your baseline metrics over 2–3 deployments, and executes intelligent canary/blue-green rollouts with automated rollbacks.
• Why it shines: It abstracts away the complexity of writing custom Prometheus queries or managing complex Kubernetes CRDs for progressive delivery.

4. The Traditional Enterprise Heavyweight: GitLab CI/CD + Native Rollouts

• Gated Releases: Excellent built-in environment protection rules, merge request approvals, and compliance pipelines.
• Progressive Delivery: Offers native incremental rollouts, canary deployments [cite: GitLab], and feature flags tightly coupled with observability metrics.
• Why it shines: Everything lives in a single pane of glass from code commit to production monitoring, minimizing toolchain sprawl.

Summary Recommendation

• Choose GitHub Actions + Argo CD/Rollouts if you are on Kubernetes and want the most active, flexible cloud-native ecosystem.
• Choose Harness if you are an enterprise looking for commercial support, advanced AI/ML-driven metric verification out-of-the-box, and a unified platform.
• Choose GitLab CI/CD if you want an integrated all-in-one platform without adopting standalone GitOps operators.

To help narrow down the ideal choice, tell me:

• What is your target infrastructure ? (Kubernetes, AWS ECS, Serverless, VMs?)
• What observability tool do you use for metrics? (Prometheus, Datadog, New Relic?)
• Do your release gates require strict human sign-offs or purely automated metric evaluation?

If you mean “best architecture/tooling for production releases that require gates and then roll out gradually”, my default recommendation is:

🏆 Best overall: GitHub Actions + Argo Rollouts

• CI/CD:
• Release gates: GitHub Environments with required reviewers, branch restrictions, wait timers, and custom protection rules. A deployment job cannot proceed until the environment's protections pass.
• Progressive delivery: argoproj.github.io for Kubernetes canary/blue-green deployments and metric-driven promotion/rollback.
• Observability gate: Have the rollout evaluate error rate, latency, saturation, business KPIs, etc., rather than relying solely on a human approval.
• Typical flow: PR → tests/security → build immutable artifact → staging → automated validation → production approval → 5% canary → 25% → 50% → 100%
• If metrics deteriorate, Argo Rollouts can abort the rollout; blue/green deployments can also perform analysis before switching traffic.

Strong alternatives

about.gitlab.com is particularly attractive if you want approvals and protected environments built directly into the CI/CD platform. GitLab supports protected environments and multiple approval rules, with deployments blocked until the required approvals are granted.

The important distinction

I wouldn't make CI/CD itself responsible for progressive delivery.

Use:

CI/CD = “Is this artifact allowed to deploy?”

Progressive-delivery controller = “Is this deployment healthy enough to continue?”

That separation gives you a much cleaner release model:

                 ┌── tests
                 ├── security scan
PR ──> CI ───────┤
                 ├── artifact
                 └── staging
                       │
                       ▼
                 automated gates
                       │
                       ▼
              human production gate
                       │
                       ▼
                 5% canary
                       │
                health analysis
                  /         \
               fail          pass
                │              │
             rollback       25% → 50% → 100%

If you're on Kubernetes, I'd choose GitHub Actions + Argo CD + Argo Rollouts for a modern GitOps setup. If you're not on Kubernetes, the answer changes substantially—tell me your cloud/platform (AWS/GCP/Azure, Kubernetes/ECS/VMs, GitHub/GitLab), and I can give you a concrete recommended stack.

If your priority is gated releases + progressive delivery, my default recommendation is:

Best overall: GitHub Actions + Argo Rollouts

• GitHub Actions for CI, artifact promotion, approvals, release gates, and deployment orchestration.
• Argo Rollouts for Kubernetes progressive delivery: canary/blue-green, weighted traffic shifting, metric-based analysis, automated promotion and rollback.
• Prometheus/Datadog/New Relic/etc. for the actual health signals that determine whether the rollout proceeds.

The resulting flow is:

PR → tests/security → build immutable artifact → staging → automated checks → production approval → 5% canary → metrics → 25% → 50% → 100%

GitHub Actions environments can enforce required reviewers, branch/tag restrictions, wait timers, concurrency, and custom protection rules. GitHub Docs GitHub Docs Argo Rollouts can then make the deployment itself progressive and automatically abort/rollback when analysis fails.

How I'd choose

One important distinction: CI/CD and progressive delivery are different layers. I wouldn't try to make the CI system itself handle sophisticated canary traffic management. Let CI/CD decide when a release is eligible, and let a rollout controller decide how traffic moves and whether the release is healthy.

For a Kubernetes production platform, my preferred architecture is therefore:

GitHub Actions → container registry → Argo CD → Argo Rollouts → ingress/service mesh → observability

If you tell me Kubernetes vs VMs/serverless, GitHub vs GitLab, and whether you need SOC2/enterprise approval gates, I can narrow this to the best 1–2 options.

When looking for the best toolchain for gated releases (strict quality controls, approvals, security scans, and tests before promotion) and progressive delivery (canary deployments, ring-based rollouts, and feature flag management), the industry standard is rarely a single monolithic tool. Instead, it’s a powerful CI/CD + GitOps + Release Orchestration combination.

The top options and pairings depend on your infrastructure and architectural philosophy:

1. The Cloud-Native / Kubernetes Standard: Argo CD + Argo Rollouts (+ GitHub Actions or GitLab CI)

If your workloads run on Kubernetes, this is the gold standard for progressive delivery.

• Gated Releases: Handled by GitHub Actions or GitLab CI/CD to run your unit tests, security/vulnerability scans, and container builds, culminating in a PR or automated commit that updates an image tag in a GitOps repository.
• Progressive Delivery: Handled natively by Argo Rollouts , which replaces standard Kubernetes Deployments with CRDs supporting blue/green and canary updates. It integrates with metrics providers (Prometheus, Datadog) to automatically promote or rollback based on error rates and latency.
• Best for: Teams deeply invested in Kubernetes who want declarative, automated traffic-shifting and metric-driven progressive rollouts.

2. The Enterprise All-In-One: GitLab Ultimate (CI/CD + Environments + Feature Flags)

If you prefer a single pane of glass rather than stitching together cloud-native tools.

• Gated Releases: GitLab offers robust merge request approvals, compliance frameworks, external security gate integration, and deploy boards.
• Progressive Delivery: Features native continuous delivery loops, incremental rollouts via Kubernetes, and built-in Feature Flags (powered by Unleash) to separate deployment from release.
• Best for: Enterprises looking for unified governance, security gates, and audit trails without maintaining multiple distinct toolsets.

3. The Complex Release Specialist: Octopus Deploy

If your deployments span a hybrid mix of Kubernetes, traditional Windows/Linux VMs, AWS/Azure services, and database changes.

• Gated Releases: Features world-class runbooks, mandatory manual intervention approvals, environment-by-environment promotion channels, and ServiceNow integration.
• Progressive Delivery: Excels at complex, multi-tenant, and ring-based deployment patterns (e.g., Dev → QA → Canary Ring → Prod Ring 1 → Prod Ring 2).
• Best for: Traditional enterprise or hybrid environments where Kubernetes-only tools like Argo fall short of handling non-containerized infrastructure.

4. The Feature-Flag-Driven Approach: GitHub Actions + LaunchDarkly / Unleash

If progressive delivery to you means granular user-segment targeting rather than just shifting infrastructure traffic.

• Gated Releases: GitHub Actions manages the CI gate, automated testing, and secure artifact publishing.
• Progressive Delivery: Handled via dedicated feature flag platforms like LaunchDarkly or self-hosted alternatives, allowing you to decouple code deployment from feature release entirely, doing percentage-based rollouts at the application layer.
• Best for: Product-led engineering teams that need instant kill-switches and targeted user cohort rollouts.

Summary Recommendation

• Choose GitHub Actions + Argo CD + Argo Rollouts if you are cloud-native/Kubernetes-heavy and want cutting-edge progressive delivery.
• Choose GitLab CI/CD if you want an all-in-one platform with strong built-in compliance gates and feature flags.
• Choose Octopus Deploy layered over your CI if you have a complex hybrid/legacy infrastructure requiring heavy visual release governance.

To help narrow down the ideal setup, tell me:

• What is your target infrastructure (pure Kubernetes, AWS/Azure cloud services, or hybrid/VM-based)?
• Do you prefer an all-in-one platform or a best-of-breed toolchain?

If your priority is gated releases + progressive delivery, I’d separate the problem into CI, deployment orchestration, and progressive rollout/feature management rather than looking for one tool to do everything.

My shortlist

🥇 Best Kubernetes-native choice: GitHub Actions + Argo CD + Argo Rollouts

This is my default recommendation if you're running Kubernetes.

Flow:

PR → tests/security gates → build/sign image → GitOps PR → approval → Argo CD → canary → metric analysis → automatic promote/rollback

Argo Rollouts supports canary, blue/green, traffic shifting and metric-driven analysis, and integrates naturally with Argo CD/GitOps.

GitHub Actions also has deployment environments with required approvals, protection rules, branch restrictions and concurrency controls, making it a good CI/gating layer.

Why I'd choose it: excellent separation of concerns, Kubernetes-native, highly customizable, and no need to put your entire deployment platform behind a proprietary vendor.

---

🥇 Best all-in-one: Harness

If you want approvals + deployment orchestration + progressive delivery + observability-driven gates in one commercial platform, I'd look hard at Harness.

Its current GitOps integration can orchestrate Argo Rollouts, including waiting for health checks, automated promotion, manual gates, aborts, retries and timeouts.

Harness also supports GitOps PR pipelines where deployment changes become auditable Git changes and can pass through approval gates before reconciliation.

Choose this when: your organization values centralized governance and wants less platform engineering.

---

🥇 Best for feature-level progressive delivery: LaunchDarkly

If "progressive delivery" means gradually exposing a feature to customers, rather than gradually shifting Kubernetes traffic, LaunchDarkly is particularly strong.

It supports progressive and guarded releases, with rollout percentages, monitoring and release policies. launchdarkly.com Its release pipelines can also combine approvals with guarded rollouts across phases/environments.

A powerful architecture is:

GitHub Actions → Argo CD/Rollouts for infrastructure → LaunchDarkly for feature exposure

That lets you deploy code safely and separately decide when users actually receive the feature.

---

What I'd implement

For a modern engineering organization, I'd use:

Developer PR
    ↓
GitHub Actions
    ├── unit/integration tests
    ├── SAST/dependency scanning
    ├── build container
    ├── sign + SBOM
    └── publish immutable artifact
             ↓
        GitOps PR
             ↓
       Human approval
             ↓
          Argo CD
             ↓
      Argo Rollouts
             ↓
       5% canary
             ↓
   metrics / error rate / latency
        ↙           ↘
    rollback       promote
                     ↓
                  25%
                     ↓
                  50%
                     ↓
                  100%
                     ↓
             LaunchDarkly flag
                     ↓
              gradual user rollout

The important distinction is deployment ≠ release:

• CI gates establish that the artifact is safe to deploy.
• CD gates establish that production is safe to receive it.
• Progressive delivery limits blast radius while you observe it.
• Feature flags control which users actually experience the change.

For Kubernetes, Argo Rollouts is deliberately designed around short-lived progressive deployments, and its documentation recommends it for rollouts on the order of minutes to an hour or two rather than keeping multiple versions alive for weeks.

Bottom line:

• Kubernetes + engineering control: GitHub Actions + Argo CD + Argo Rollouts
• Enterprise all-in-one: Harness
• Feature flags / customer-facing releases: LaunchDarkly
• Already standardized on GitLab: GitLab CI/CD
• Azure/Microsoft ecosystem: Azure DevOps

If you tell me your cloud/Kubernetes setup, Git provider, team size, and whether you need feature flags, I can narrow this to a concrete architecture and compare the cost/complexity/tradeoffs of the top 2–3 options.

When building a pipeline for gated releases (strict approval policies, security scans, compliance checks) and progressive delivery (canary shifts, blue/green analysis, automated rollbacks based on metrics), the modern approach in 2026 relies on a ** decoupled CI and CD stack** rather than looking for a single monolithic tool.

The industry standard is to split the problem: use a powerful CI/Trigger engine for the gates, paired with a specialized GitOps/Progressive Delivery controller for the deployment.

Top Stacks for Gated Releases & Progressive Delivery

1. The Cloud-Native Gold Standard: GitHub Actions + Argo CD + Argo Rollouts
   • How it works: GitHub Actions handles your CI, linting, unit tests, container builds, and security/vulnerability gating via pull request checks and environment protection rules. Once merged, it updates image tags in a GitOps repository. Argo CD syncs the change to the cluster, and Argo Rollouts takes over the actual progressive delivery (canary/blue-green traffic shifting tied to Prometheus/Datadog analysis runs).
   • Best for: Teams running on Kubernetes who want deep UI visibility, declarative configurations, and fine-grained control over canary weights and metric analysis.
2. The Enterprise All-in-One Powerhouse: GitLab CI/CD + Harness
   • How it works: GitLab provides a single pane of glass for source code, rigorous merge request approval gates, and security scanning (SAST/DAST). For the delivery phase, Harness steps in as an enterprise CD layer, offering advanced governance, AI-driven continuous verification (auto-analyzing logs and metrics to rollback), and native progressive canary/blue-green deployments across multi-cloud environments.
   • Best for: Large enterprises with strict regulatory compliance, change management board (CAB) approvals, and multi-cloud or hybrid infrastructure targets.
3. The Flux-Native Alternative: GitHub/GitLab CI + Flux CD + Flagger
   • How it works: Similar to the Argo stack, but uses Flux CD for lightweight, cluster-local GitOps reconciliation and Flagger as the progressive delivery operator. Flagger wraps around standard Kubernetes Deployments using a service mesh (Istio/Linkerd) or ingress to automate canary progression.
   • Best for: Platform engineering teams who prefer an "inside-out" decoupled pull model over a centralized management cluster.

Comparison of Core Capabilities

To help narrow down the ideal architecture for your team, tell me:

• Are your target applications deployed to Kubernetes, VMs, or serverless?
• Which Version Control System (GitHub, GitLab, Bitbucket) and observability tool (Prometheus, Datadog, New Relic) are you currently using?

If you mean gated releases + progressive delivery, my default recommendation in 2026 is:

Best overall: GitHub Actions + Argo Rollouts

Use GitHub Actions for CI and release governance, and Argo Rollouts for the actual progressive deployment layer.

Why this combination works well:

GitHub Environments can require reviewers, restrict deployment branches/tags, add wait timers, and integrate custom protection rules that can evaluate external systems before deployment.

Argo Rollouts then handles the part ordinary CI/CD systems aren't particularly good at: gradually exposing production traffic and automatically deciding whether to continue or abort based on metrics. It supports canary and blue/green strategies, weighted traffic shifting, analysis, automated promotion and rollback.

A typical production flow:

PR
 │
 ├─ unit/integration tests
 ├─ security scans
 └─ build immutable artifact
       │
       ▼
 staging
       │
       ├─ smoke/e2e tests
       └─ automated quality gates
       │
       ▼
 production approval
       │
       ▼
 5% canary
       │
       ├─ error rate OK?
       ├─ latency OK?
       ├─ saturation OK?
       └─ business KPI OK?
       │
       ▼
 25% → 50% → 100%
       │
       └─ failure → automatic rollback

Argo Rollouts can pause between canary steps and use metric analysis to decide whether the rollout proceeds; failed analysis can abort the rollout.

If you're not on Kubernetes

I'd instead favor GitHub Actions + your cloud's deployment mechanism + an external progressive-delivery platform. Argo Rollouts is specifically a Kubernetes controller, so introducing Kubernetes solely to get progressive delivery is usually not worth it.

My shortlist

1. GitHub Actions + Argo Rollouts — best balance of CI, governance, GitOps and sophisticated progressive delivery.
2. GitLab CI/CD — attractive if you want one integrated DevSecOps platform rather than assembling components.
3. GitHub Actions + feature flags — excellent if releases need user/tenant/region-based progressive exposure rather than infrastructure-level canaries.
4. Spinnaker — powerful for sophisticated multi-cloud deployment orchestration, but I'd generally avoid its operational complexity for a new platform unless you have a strong reason.

Key distinction: don't make the CI pipeline itself responsible for watching production for 30 minutes and deciding whether to promote. Let CI establish release eligibility, while a deployment controller evaluates runtime health. That separation makes gated releases much more robust.

If you tell me your stack (e.g. AWS/EKS, GKE, Azure, Kubernetes/non-K8s, GitHub/GitLab) I can recommend a concrete architecture and promotion policy.

When implementing gated releases (approvals, security checks, compliance verifications) and progressive delivery (canary, blue/green, metric-driven rollouts), modern DevOps engineering rarely relies on a single monolithic tool. Instead, best-in-class setups pair a CI Engine with a Dedicated Progressive Delivery/GitOps CD tool or adopt an Enterprise Delivery Platform.

The top stack choices depend on your infrastructure and architectural preferences:

1. The Cloud-Native / Kubernetes Gold Standard: GitHub Actions + Argo CD + Argo Rollouts

• Best for: Teams running on Kubernetes who want developer-friendly CI tightly coupled with GitOps.
• How it works:
  1. GitHub Actions handles the CI phase (compiling, running test suites, scanning containers, and pushing images).
  2. GitHub Actions acts as the first gate by requiring environment approvals or status checks before updating a separate GitOps configuration repository.
  3. Argo CD pulls the new desired state into your Kubernetes cluster.
  4. Argo Rollouts takes over progressive delivery , executing automated canary phases, pausing for analysis, and rolling back automatically if error rates or latency metrics spike in Prometheus/Datadog.
• Pros: Highly transparent, declarative, huge community mindshare, and completely open-source.
• Cons: Requires stitching together multiple tools; can feel complex to maintain if you deploy outside of Kubernetes.

2. The Enterprise All-In-One Platform: Harness

• Best for: Mid-to-large enterprises that want native, out-of-the-box progressive delivery, governance, and AI verification without gluing plugins together.
• How it works: Harness provides unified pipeline orchestration. It handles gated approvals (including ServiceNow/Jira integrations), continuous verification using machine learning to analyze APM logs (Datadog, Dynatrace, New Relic) during a canary phase, and native progressive traffic shifting.
• Pros: Deep enterprise governance, first-class environment and promotion modeling, native cost visibility, and automated canary verification out of the box.
• Cons: Commercial licensing costs can be steep, and it has a steeper learning curve than lighter open-source tools.

3. The Unified DevSecOps Platform: GitLab CI/CD

• Best for: Organizations that want a single pane of glass for source code, security gates, and deployment strategies without tool sprawl.
• How it works: GitLab CI/CD handles code management, deep built-in security scanning (SAST/DAST) as hard quality gates, and progressive delivery via integrated feature flags and managed environments.
• Pros: Excellent compliance dashboards, minimal integration friction, and native DORA metrics tracking.
• Cons: Advanced security and release controls require higher-tier (Ultimate) licenses.

Quick Comparison Matrix

To help narrow down the ideal choice, tell me:

• Are you deploying primarily to Kubernetes, VMs, or serverless?
• Is your source code hosted on GitHub, GitLab, or bitbucket?

For gated releases + progressive delivery, the “best” CI/CD stack is usually not a single CI tool. The strongest setups separate:

1. CI → build, test, scan, package artifacts
2. CD orchestration → approvals, environments, promotion rules
3. Progressive delivery → canary/blue-green rollout, metrics-based promotion, rollback

A strong modern pattern is:

GitHub Actions and GitLab CI/CD are usually the CI layer; the progressive delivery layer is often handled separately.

My default recommendation for a modern Kubernetes platform

Pull-based GitOps:

Developer
   |
   v
PR checks
   |
   v
CI pipeline
(build/test/security scan)
   |
   v
Container registry
   |
   v
Update deployment manifest
   |
   v
Argo CD
   |
   v
Argo Rollouts
   |
   +--> 5% traffic
   |       |
   |       v
   |   metrics checks
   |
   +--> 25%
   |
   +--> 50%
   |
   +--> 100%

Argo CD provides declarative GitOps deployment, while Argo Rollouts adds canary, blue-green, traffic shifting, metric analysis, and automated promotion/rollback capabilities.

Gates I would implement

Before merge

• Unit/integration tests
• SAST/dependency scanning
• Required reviewers
• Infrastructure policy checks

Before production

• Change approval (if required)
• Security signoff for high-risk changes
• Database migration checks
• Manual promotion button for regulated workloads

During rollout

• Canary percentage steps (5% → 25% → 50% → 100%)
• Automated checks:
  • error rate
  • latency
  • saturation
  • business KPIs
• Automatic rollback on regression

Feature flags vs canary deployments

Use both, but for different things:

• Canary deployment: “Is this build safe to run?”
• Feature flags: “Should users see this capability?”

A common mature setup is:

• CI: GitHub Actions/GitLab CI
• CD: Argo CD
• Progressive delivery: Argo Rollouts
• Observability: Prometheus/Grafana + Datadog/New Relic
• Feature control: LaunchDarkly/Unleash/etc.

Short answer

If I were designing a new platform today:

Kubernetes shop:
→ GitHub Actions (or GitLab CI) + Argo CD + Argo Rollouts + Prometheus metrics

Non-Kubernetes shop:
→ GitHub Actions/GitLab CI + Harness or native deployment approvals + feature flags

The key is not the CI engine; it is having automated promotion decisions based on production signals, rather than relying only on humans watching dashboards.

For gated releases + progressive delivery, the “best” CI/CD stack is usually not one product—it’s a combination:

Recommended modern stack (Kubernetes/cloud-native):

CI: GitHub Actions / GitLab CI / CircleCI
Artifact & security gates: container registry + SAST/SCA + policy checks
CD: Argo CD (GitOps)
Progressive delivery: Argo Rollouts or Flagger
Feature release control: LaunchDarkly / OpenFeature-compatible flags
Observability gates: Prometheus, Datadog, Grafana, New Relic, etc.

My shortlist by scenario

What a good gated release pipeline looks like

Commit
  |
  v
CI
 ├─ Unit tests
 ├─ Integration tests
 ├─ Security scans
 ├─ Build container
 └─ Sign artifact
  |
  v
Deploy to staging
  |
  v
Automated gates
 ├─ Health checks
 ├─ Integration tests
 ├─ Performance checks
 └─ Approval (optional)
  |
  v
Production canary (5%)
  |
  v
Metrics evaluation
 ├─ Error rate
 ├─ Latency
 ├─ Saturation
 └─ Business KPIs
  |
  +--> Promote to 25% → 50% → 100%
  |
  +--> Rollback

Argo Rollouts specifically supports canary, blue-green, metric analysis, and automated promotion/rollback patterns.

My default recommendation in 2026

For most engineering organizations:

GitHub Actions + Argo CD + Argo Rollouts + OpenFeature/LaunchDarkly + Prometheus

Why:

• CI stays simple.
• Releases are declarative and auditable.
• Production changes happen through Git.
• Canary decisions can be automated.
• Feature exposure can be decoupled from deployment.

When I would choose something else

• Choose GitLab CI/CD if your organization wants one integrated DevSecOps platform.
• Choose Azure DevOps if you are deeply invested in Microsoft/Azure governance.
• Choose Spinnaker only if you truly need complex multi-cloud orchestration and have the platform team to operate it.

A useful rule of thumb: CI answers “is this code safe to build?”; CD answers “how do we safely change production?”; progressive delivery answers “how do we limit blast radius if we are wrong?”. The best setups separate those concerns.