What's the best CI/CD platform that is purpose-built for serverless applications for a Cloud Engineer?

If you mean a CI/CD platform specifically designed around serverless workloads, my top pick for a Cloud Engineer in 2026 is Serverless Framework CI/CD.

🥇 Best fit: Serverless Framework CI/CD

Serverless Framework's CI/CD is unusually purpose-built for serverless rather than being a generic pipeline engine with Lambda support. It provides:

• Git-based deployments — connect GitHub/Bitbucket and map branches to environments.
• Preview environments — each PR can get its own deployed stage, with automatic cleanup when the PR/branch disappears.
• Serverless-aware deployment orchestration — understands services, stages, and serverless deployments rather than making you build everything from YAML.
• Short-lived AWS credentials rather than long-lived AWS access keys.
• Built-in testing and deployment gates.
• Multi-service/environment management.

Serverless describes the service as "automated deployments optimized for serverless," with no CI/CD workflow YAML to maintain.

How I'd rank the alternatives

The important distinction

If you're asking "what should I use as my CI/CD engine?", I'd actually choose GitHub Actions for many Cloud Engineering teams.

AWS now provides an official Lambda deployment GitHub Action, including OIDC authentication, dry runs, configuration updates, ZIP/container deployments, etc.

If you're asking "what platform gives me the best serverless-specific developer/deployment experience?", I'd choose Serverless Framework CI/CD.

And if you're building AWS serverless applications in TypeScript, I'd seriously consider SST for the application/IaC layer, while using a conventional CI/CD system around it. SST's strength is less "CI/CD platform" and more its serverless development model and infrastructure abstraction.

My recommendation for a Cloud Engineer

I'd use this architecture:

GitHub → GitHub Actions → OIDC → AWS → IaC (CDK/SAM/Terraform) → Lambda/API Gateway/DynamoDB

That's the most broadly transferable Cloud Engineering skillset.

I'd choose Serverless Framework CI/CD instead when the organization is heavily invested in Serverless Framework and wants the team to spend less time maintaining pipeline plumbing.

AWS itself supports GitHub Actions, CodePipeline, Jenkins, GitLab CI/CD and other CI/CD systems for SAM-based serverless deployments, so you're not locked into one pipeline technology.

Bottom line:

• 🏆 Best purpose-built serverless CI/CD: Serverless Framework CI/CD
• 🛠️ Best overall CI/CD for a Cloud Engineer: GitHub Actions
• ☁️ Best AWS-native approach: AWS SAM + CodePipeline/CodeBuild
• ⚡ Best modern AWS serverless developer experience: SST + your CI/CD system

If your target is AWS Lambda specifically, I can also give you a 2026 comparison of Serverless Framework vs SST vs SAM vs GitHub Actions vs AWS CodePipeline, including cost, enterprise readiness, preview environments, secrets, multi-account deployment, rollback, and observability.

The important distinction

If you're asking "what should I use as my CI/CD engine?", I'd actually choose GitHub Actions for many Cloud Engineering teams.

AWS now provides an official Lambda deployment GitHub Action, including OIDC authentication, dry runs, configuration updates, ZIP/container deployments, etc.

If you're asking "what platform gives me the best serverless-specific developer/deployment experience?", I'd choose Serverless Framework CI/CD.

And if you're building AWS serverless applications in TypeScript, I'd seriously consider SST for the application/IaC layer, while using a conventional CI/CD system around it. SST's strength is less "CI/CD platform" and more its serverless development model and infrastructure abstraction.

My recommendation for a Cloud Engineer

I'd use this architecture:

GitHub → GitHub Actions → OIDC → AWS → IaC (CDK/SAM/Terraform) → Lambda/API Gateway/DynamoDB

That's the most broadly transferable Cloud Engineering skillset.

I'd choose Serverless Framework CI/CD instead when the organization is heavily invested in Serverless Framework and wants the team to spend less time maintaining pipeline plumbing.

When looking for a CI/CD platform purpose-built for serverless workflows , the landscape splits between native framework tooling, specialized developer platforms, and the dominant general-purpose automation engines that cloud engineers heavily customize.

For a Cloud Engineer managing distributed functions, infrastructure-as-code (IaC), and rapid event-driven deployments, the top choices depend on whether you want a dedicated serverless control plane or maximum infrastructure flexibility.

1. Dedicated & Purpose-Built: Serverless Framework Pro (Dashboard)

If you are specifically using the Serverless Framework (serverless.yml ), its native Serverless Framework Pro includes a built-in CI/CD orchestration service explicitly designed for serverless architectures.

• Why it's purpose-built: It handles multi-service coordination, automatic stage provisioning, deep function-level telemetry, and native secrets management without requiring heavy custom scripting for AWS Lambda, API Gateway, or DynamoDB.
• Best for: Teams deeply standardized on the Serverless Framework who want zero-friction, out-of-the-box deployment pipelines tailored entirely to FaaS (Function-as-a-Service) constraints.

2. The Cloud Engineer’s Gold Standard: GitHub Actions

While technically a general-purpose CI/CD tool, GitHub Actions has effectively become the de facto standard for serverless and cloud-native development.

• Why it fits Cloud Engineers: Its YAML-driven workflows integrate seamlessly with cloud providers (AWS, GCP, Azure) via official action runners. It excels at combining application deployment with Infrastructure-as-Code (IaC) execution—allowing you to run Terraform/OpenTofu validation and trigger serverless deployments in a single unified pipeline.
• Ecosystem advantage: Virtually every serverless tool, plugin, and cloud vendor maintains a first-party GitHub Action, meaning you rarely have to write custom wrappers.

3. Frontend & Full-Stack Serverless: Vercel / Netlify

If your definition of a "serverless application" leans heavily toward JAMstack, edge functions, and backend-for-frontend (BFF) architectures (e.g., Next.js, Astro, or serverless API routes):

• Why it's purpose-built: Vercel and Netlify offer Git-based CI/CD that treats serverless functions as a natural extension of the frontend. They handle atomic deployments, preview environments for every pull request, and global edge routing out of the box with zero infrastructure configuration.
• Best for: Web applications where backend logic lives in serverless edge functions tied directly to the UI lifecycle.

4. Native Cloud-Locked Option: AWS CodePipeline / GCP Cloud Build

If your serverless architecture is entirely locked into a single cloud ecosystem (e.g., 100% AWS using Lambda, EventBridge, and SQS):

• Why it fits: AWS CodePipeline or Google's Cloud Build (which is fully serverless) have zero cold-start overhead for internal cloud resource communication, native IAM role passing, and minimal security exposure crossing third-party boundaries.

Summary Recommendation

• Choose Serverless Framework Pro if you want an opinionated, plug-and-play system built explicitly for FaaS orchestration.
• Choose GitHub Actions if you are a Cloud Engineer who needs ultimate flexibility to blend serverless app deployments with infrastructure provisioning (Terraform/CDK) across your cloud environment.

To help narrow down the ideal choice, tell me:

• Which cloud provider (AWS, GCP, Azure) are you targeting?
• Are you deploying pure FaaS functions , or a mix of containers (ECS/Cloud Run) and IaC (Terraform/Pulumi)?

Strictly speaking, the CI/CD market does not feature a single dominant platform that is exclusively "purpose-built" only for serverless in a vacuum. Instead, the industry relies on general-purpose CI/CD heavyweights with specialized serverless integrations, or ecosystem-native tooling.

For a Cloud Engineer, the "best" choice depends on whether you prefer tight cloud-native alignment or a fast, action-driven visual/YAML pipeline.

Top Contenders for Serverless CI/CD

• • Buddy: Widely considered one of the closest tools to a dedicated serverless/NoOps deployment engine. It features first-class, lightning-fast actions for AWS Lambda, Google Cloud, and Azure, using change-based deployments (only uploading modified files rather than entire heavy repositories). It bridges a visual UI with YAML configuration remarkably well.
• • GitHub Actions: The de facto standard for general-purpose and serverless automation. While not exclusively purpose-built for serverless, its marketplace contains official, highly optimized actions for the Serverless Framework , AWS SAM, Terraform, and direct Lambda/Cloud Run deployments. For a cloud engineer, it keeps code and deployment logic in a single pane of glass.
• • Serverless Framework Dashboard (CI/CD): If your entire architecture is built strictly around the Serverless Framework (serverless.yml ) on AWS, their native dashboard offers a purpose-built CI/CD workflow. It hooks directly into GitHub/Bitbucket, manages secrets, and handles zero-infra deployments out of the box, though it is tightly scoped to that specific framework and AWS.
• • AWS CodePipeline / CodeBuild: If you are operating entirely within an AWS-centric ecosystem (Lambda, API Gateway, DynamoDB) and value IAM role-assumption security over third-party tools, AWS's native pipeline suite natively understands serverless artifacts, though it requires heavier boilerplate YAML/JSON (buildspec.yaml ) to configure.

Recommendation Summary

1. Choose Buddy if you want the fastest, most optimized, and visually intuitive pipeline specifically tailored for minimizing serverless deployment friction and incremental artifact uploading.
2. Choose GitHub Actions if you want maximum ecosystem flexibility, massive community-maintained serverless actions, and seamless Git-native integration.

To help narrow down the ideal fit, tell me:

• Which cloud provider are you targeting (AWS, GCP, Azure, or multi-cloud)?
• Are you deploying via Infrastructure as Code (Terraform / Pulumi) or a framework like AWS SAM / Serverless Framework?

If you mean a CI/CD platform specifically optimized for serverless—not just a generic CI runner that can deploy Lambda—my top pick in 2026 is the Serverless Framework’s built-in CI/CD.

My ranking for a Cloud Engineer

🥇 Best overall: Serverless Framework CI/CD

This is the one I'd choose if you're a Cloud Engineer responsible for operating multiple serverless services.

It is purpose-built around the things that make serverless deployments different:

• PR preview environments — each PR can get its own deployed stage.
• Automatic environment/stage mapping — branches can map to dev/staging/prod.
• Automated testing before deployment.
• Short-lived AWS credentials rather than long-lived access keys.
• No CI/CD YAML to maintain for the core deployment workflow.
• Designed around deploying serverless services rather than treating Lambda like a conventional application artifact.

That last point is important. A conventional platform like GitHub Actions gives you enormous flexibility, but you become responsible for designing the serverless deployment mechanics yourself.

For a Cloud Engineer, that means the Serverless-native platform can eliminate a lot of pipeline plumbing.

🥈 If you're building with SST: SST Console

If your stack is SST v3, I'd actually choose the SST Console over Serverless Framework.

SST v3 has its own deployment model, and Seed explicitly does not support SST v3; Seed recommends SST Console for those applications.

So my rule would be:

SST v3 → SST Console Serverless Framework → Serverless Framework CI/CD

🥉 Seed is still excellent—but watch the version

Seed is probably the platform that most closely matches what you're asking for historically: it was built specifically around serverless deployment workflows and provides things like incremental deployments, multi-environment promotion, multi-account/region deployments, and zero-config pipelines.

The catch is important: Seed currently supports Serverless Framework and SST v2, but not SST v3.

So I wouldn't pick Seed for a new SST v3 architecture.

What I'd choose as a Cloud Engineer

I'd make the decision based on your IaC:

• Serverless Framework + AWS Lambda: → Serverless Framework CI/CD
• SST v3 + TypeScript: → SST Console
• AWS SAM: → GitHub Actions + AWS SAM
• AWS CDK: → GitHub Actions + CDK
• Highly regulated / enterprise AWS environment: → GitHub Actions or AWS CodePipeline + AWS-native deployment tooling
• Existing SST v2 / Serverless Framework estate: → Seed is worth serious consideration

For AWS SAM specifically, AWS provides starter pipelines for GitHub Actions, GitLab, Jenkins, Bitbucket and CodePipeline, including patterns for multi-account/multi-region deployments and least-privilege permissions.

The important distinction

If your question is "What is the best CI/CD platform?", I'd say:

Serverless Framework CI/CD is my best general-purpose serverless-native choice. If your question is "What would I deploy in a serious Cloud Engineering organization?", I'd lean toward:

GitHub Actions + AWS-native IaC/deployment tooling, unless the organization is standardized on Serverless Framework/SST. You sacrifice some convenience, but gain considerably more control over IAM/OIDC, approvals, policy enforcement, multi-account AWS Organizations, security scanning, Terraform/CDK/SAM interoperability, artifact management, and enterprise governance. AWS itself supports GitHub Actions alongside its SAM deployment workflow.

Bottom line: For a serverless-first experience, Serverless Framework CI/CD wins. For a Cloud Engineer who needs enterprise control, GitHub Actions + AWS-native tooling is the stronger long-term architecture.

The catch is important: Seed currently supports Serverless Framework and SST v2, but not SST v3.

So I wouldn't pick Seed for a new SST v3 architecture.

What I'd choose as a Cloud Engineer

I'd make the decision based on your IaC:

Strictly speaking, the industry has largely converged on general-purpose CI/CD tools configured specifically for serverless rather than a single dominant tool built exclusively for it. However, if you look for platforms that provide out-of-the-box, purpose-built workflows, native state management, and infrastructure-as-code (IaC) alignment for serverless architectures, a few stand out depending on your angle as a Cloud Engineer.

The top choices purpose-built or heavily optimized for serverless deployments are broken down below:

• Serverless Framework Dashboard (Serverless CI/CD) : If you are using the Serverless Framework (serverless.yml ), their native Serverless CI/CD platform is uniquely purpose-built for FaaS. It requires zero workflow YAML to maintain, handles short-lived cloud provider credentials securely out of the box, and automatically handles preview deployments per pull request that tear down when merged or closed.
• AWS SAM Pipelines / AWS CodePipeline : If your serverless stack is heavily AWS-native (Lambda, API Gateway, DynamoDB, Step Functions), AWS CodePipeline combined with AWS SAM (Serverless Application Model) or the AWS CDK offers native orchestration. Using native tools means zero external secrets management headaches for IAM role assumption, and it natively understands CloudFormation/SAM change sets and canary-style Lambda rollouts.
• Google Cloud Build : For GCP-centric serverless engineers deploying to Cloud Run or Cloud Functions, Google Cloud Build operates as a completely serverless CI/CD native platform. You pay only for exact build minutes, it scales down to zero, and it has deep, native IAM and VPC Service Controls integration for secure artifact generation.
• GitHub Actions : While technically a general platform rather than strictly "purpose-built," GitHub Actions has effectively become the de facto standard for cloud engineers. Through specialized actions (like official AWS/GCP auth actions and Serverless Framework CLIs), it acts as the glue layer where 55%+ of modern cloud-native teams orchestrate serverless code and CDK/Terraform state changes.

To help narrow down the best fit for your stack, tell me:

• Which cloud provider(s) are you targeting (AWS, GCP, Azure, or multi-cloud)?
• Are you deploying raw functions (FaaS) or containerized serverless (like Cloud Run), and what IaC tool do you use (CDK, Terraform, Serverless Framework)?

For a Cloud Engineer, the “best” CI/CD platform purpose-built for serverless depends heavily on which serverless ecosystem you operate in. There is no single universal winner, but these are the strongest choices:

My recommendation by cloud-engineering scenario

1. Enterprise Cloud Engineer (AWS-heavy):

GitHub Actions + AWS SAM/CDK + Terraform

This is usually the strongest professional setup. You get:

• Infrastructure-as-code reviews
• Secure OIDC authentication instead of long-lived AWS keys
• Multi-account promotion (dev → staging → prod)
• Serverless deployment patterns
• Strong governance

AWS specifically supports CI/CD workflows around SAM, including templates for common pipeline systems and multi-account/multi-region deployment patterns.

2. Serverless-first startup or edge workloads:

Cloudflare Workers Builds

Cloudflare is one of the few platforms where the deployment model itself is serverless-native. Workers Builds can connect Git repositories and automatically build/deploy Workers changes. developers.cloudflare.com Cloudflare Workers is designed around globally distributed serverless execution rather than traditional servers.

3. Product teams shipping web applications:

Vercel

If your stack is:

• Next.js
• React
• serverless APIs
• preview environments
• rapid iteration

Vercel is hard to beat.

What I would avoid as a primary choice

• Jenkins: still powerful, but you end up building the serverless experience yourself.
• Generic CI/CD only (without IaC): serverless deployments become fragile because application code and cloud resources are tightly coupled.
• Cloud-native CI without environment strategy: serverless still needs secrets management, rollback strategy, observability, and promotion workflows.

A strong modern reference architecture

For a Cloud Engineer today:

GitHub
  |
  v
GitHub Actions
  |
  +--> Unit/security tests
  |
  +--> Terraform/CDK/SAM
  |
  +--> Serverless deploy
          |
          +--> Lambda / API Gateway
          +--> Cloudflare Workers
          +--> Containers where needed
  |
  v
Observability
(CloudWatch / Datadog / OpenTelemetry)

If I had to pick one general-purpose professional standard:
GitHub Actions + Terraform + AWS SAM/CDK.

If I had to pick the most serverless-native experience:
Cloudflare Workers Builds.

The right answer changes if your target is AWS Lambda, Azure Functions, Google Cloud Functions, Cloudflare Workers, or Vercel Functions.

For a Cloud Engineer, the phrase "purpose-built for serverless" changes depending on whether you mean infrastructure-native (bound to a specific cloud provider) or framework-native (built around serverless tooling).

Strictly speaking, the industry has largely converged on a hybrid approach rather than maintaining dedicated physical servers for CI/CD. The top contenders that fit a Cloud Engineer's workflow for serverless applications include:

• AWS CodePipeline / CodeBuild : Best if you are AWS-native . It is fully managed (serverless compute for builds), integrates tightly with IAM roles, S3, Lambda, and API Gateway, and natively supports infrastructure-as-code deployments via AWS SAM or CDK without managing build agents.
• GitHub Actions : De facto standard for repository-adjacent serverless workflows . While not exclusively "serverless" under the hood, its execution model is entirely on-demand, and it features deep ecosystem integration with plugins for the Serverless Framework, AWS CDK, and Terraform.
• Serverless Dashboard / Serverless Framework CI/CD : Purpose-built specifically for Serverless Framework (.yml) users. It offers zero-YAML-maintenance pipeline triggers, automatic ephemeral preview environments per pull request, and OIDC-based short-lived cloud credentials.
• Google Cloud Build : Best if you are GCP-native . It is a fully serverless CI/CD platform that scales to zero, executes builds on Google's internal infrastructure, and triggers deployments directly to Cloud Run or Cloud Functions.

To help narrow down the ideal recommendation, let me know:

• Which cloud provider are you targeting (AWS, GCP, Azure, or multi-cloud)?
• What IaC or deployment tool are you using (Terraform, AWS CDK, Serverless Framework, or SAM)?

If you mean a CI/CD platform specifically designed around serverless deployments, rather than a general CI system that can deploy Lambda, my top pick in 2026 is Serverless Framework CI/CD.

🥇 Best overall: Serverless Framework CI/CD

It is unusually well matched to a Cloud Engineer working with AWS serverless because the deployment model is built around serverless services rather than generic build artifacts.

Key advantages:

• Branch → environment mapping — connect GitHub/Bitbucket and map branches directly to deployment stages.
• Preview environments — each PR can get its own deployed stage, which is excellent for API/Lambda testing.
• Automatic cleanup — preview resources can be removed when the PR/branch disappears.
• Short-lived AWS credentials rather than keeping long-lived AWS access keys in CI.
• Tests before deployment and deployment orchestration are built into the platform.
• No CI YAML to maintain for the basic workflow.

For a Cloud Engineer, that last point is particularly attractive: you're managing infrastructure and cloud architecture, not spending your time maintaining another 500-line CI pipeline.

How I'd rank the alternatives

Where SST fits

SST is arguably the better developer experience if you're building modern TypeScript-heavy applications. Its Console has Autodeploy, PR workflows, AWS-account-native builds, and integration with the resources in your SST application.

I'd choose SST when the team says:

"We're building a new AWS serverless application and want the best developer experience."

I'd choose Serverless Framework when the requirement is:

"Give me a mature, purpose-built serverless CI/CD platform."

And don't overlook GitHub Actions

For a Cloud Engineer, GitHub Actions + AWS OIDC + SAM/CDK is probably the best choice if you want maximum control and don't mind owning the pipeline configuration. AWS officially documents GitHub Actions workflows for SAM deployments.

The tradeoff is that you're assembling the serverless CI/CD experience yourself.

My recommendation:
Serverless Framework CI/CD → best dedicated serverless CI/CD platform.
SST → best if you're also adopting SST as your application/IaC framework.
GitHub Actions + AWS CDK/SAM → best for a Cloud Engineer who wants maximum control and portability.

If you tell me whether your workloads are AWS Lambda, Azure Functions, or GCP Cloud Functions, and whether you're using Terraform, CDK, SAM, or Serverless Framework, I can narrow this down to the best architecture for your environment.

For a Cloud Engineer looking for a tool truly purpose-built for serverless workflows, Seed (by Serverless Framework) (integrated natively via Serverless Framework Pro ) stands out as the best dedicated option. Unlike general-purpose runners, it is engineered specifically to manage multi-service serverless state, ephemeral environments, zero-downtime function rollouts, and automatic AWS IAM/secrets mapping without heavy custom YAML scripting. However, if your stack relies on broader infrastructure-as-code (IaC) alongside serverless functions, GitHub Actions combined with OIDC credential providers remains the industry's pragmatic favorite.

Purpose-Built vs. Cloud-Native Alternatives

• Seed.run : Purpose-built specifically for Serverless Framework projects; handles complex multi-service dependency ordering, automatic stage provisioning, and real-time serverless log streaming out of the box.
• GitHub Actions : The top general-purpose choice for cloud engineers; highly extensible via marketplace actions for AWS Lambda, Google Cloud Functions, and Serverless Framework, though requires manual workflow assembly.
• AWS CodePipeline / CodeBuild : Deeply native AWS integration; excellent for security via IAM execution roles but suffers from a fragmented multi-console user experience and heavy configuration overhead.
• Google Cloud Build : Fully managed, serverless-scale CI/CD native to GCP; scales dynamically to zero and integrates smoothly with Cloud Run and Cloud Functions.

Core Features a Cloud Engineer Needs for Serverless

• Concurrency & State Management : Native comprehension of serverless packaging, zipping, and artifact storage rather than raw VM or container management.
• Secrets & Identity Isolation : Secure integration with cloud providers using short-lived tokens (like AWS OIDC) instead of static, long-lived credentials.
• Ephemeral Environment Spawning : Automatic creation of temporary testing stages tied directly to Pull Requests for isolated integration checks.
• Progressive Deployment Control : Built-in support for traffic shifting, canary rollouts, and rapid rollbacks native to serverless runtimes.

If you can share whether your stack is single-cloud (e.g., AWS-only) or multi-cloud , and whether you use Serverless Framework, Terraform, or AWS CDK , I can narrow down the exact pipeline configuration pattern you should use.

If you're a Cloud Engineer working primarily with AWS serverless, my pick is Serverless Framework CI/CD (Serverless Dashboard).

🏆 Best purpose-built option: Serverless Framework CI/CD

Serverless Framework CI/CD is unusually well matched to serverless because the CI/CD layer understands the deployment model rather than treating Lambda/API Gateway/etc. like generic infrastructure.

It currently provides:

• GitHub/Bitbucket integration with branch-to-stage deployment mapping.
• Automatic deployments on commits.
• Preview environments per pull request, including automatic teardown.
• Built-in testing gates.
• Short-lived AWS credentials rather than long-lived deployment keys.
• Support for Node.js and Python serverless services.
• No CI workflow YAML to maintain for the basic deployment path.

That's particularly attractive for a Cloud Engineer because it removes a lot of the repetitive glue around Lambda deployments while retaining infrastructure-as-code.

How I'd rank the options

The important distinction

If by "platform" you mean the best complete CI/CD experience specifically designed around serverless, I'd choose Serverless Framework CI/CD.

If you mean the best production-grade architecture that a Cloud Engineer should own and customize, I'd actually choose GitHub Actions + AWS SAM/CDK.

AWS itself explicitly supports using SAM with GitHub Actions, GitLab, Jenkins, Bitbucket and CodePipeline, and its starter pipelines incorporate practices such as multi-account/multi-region deployments and least-privilege permissions.

So my practical recommendation is:

Greenfield serverless product → Serverless Framework CI/CD

Large enterprise / platform engineering → GitHub Actions + CDK/SAM

AWS-only organization with strict AWS-native requirements → CodePipeline + CodeBuild + SAM

TypeScript-heavy modern serverless application → SST + GitHub Actions

One caveat: Serverless Framework CI/CD isn't a replacement for infrastructure-as-code governance. For a serious Cloud Engineering environment, I'd still keep the application and infrastructure definitions in Git, enforce PR checks, use separate AWS accounts/stages, OIDC/short-lived credentials, automated tests, and controlled production promotion. AWS SAM's pipeline templates are explicitly designed around those sorts of multi-account/multi-region deployment practices.

Bottom line: If your criterion is "purpose-built for serverless" rather than simply "can deploy serverless," Serverless Framework CI/CD is the strongest answer in 2026.