Continuous integration sits at the heart of modern DevOps. Teams merge code frequently, run automated builds and tests on every change, catch issues early, and keep the main branch deployable. In 2026 the top platforms handle this smoothly-some stay dead simple for small teams, others scale to enterprise complexity with built-in security and multi-cloud support. The best ones cut setup time, minimize flakes in pipelines, and let developers ship faster instead of wrestling YAML forever. Here are the standout options that consistently top lists and real-world usage right now. These platforms dominate because they solve real pain points differently. Cloud-hosted ones spin up runners instantly and charge only for what gets used. Open-source heavyweights give total control if teams want to self-host and customize everything. Integrated all-in-one solutions bundle repo management, issues, and pipelines so nothing feels bolted on. Pick based on team size, existing stack, and whether speed, flexibility, or zero vendor lock-in matters most. The landscape keeps shifting toward AI-assisted tuning, stronger security scans in the pipeline, and tighter Kubernetes/GitOps integration-but the core leaders still deliver reliably year after year.
1. AppFirst
AppFirst provides infrastructure instantly for applications without manual config work like Terraform, YAML, or VPC setup. Developers define app needs such as compute, databases, networking, or Docker images, and the platform handles secure, compliant resources across AWS, Azure, and GCP automatically. Built-in logging, monitoring, alerting, and auditing come along, plus cost visibility.
It targets developers who want to skip infra headaches, companies enforcing standards without custom tooling, and groups shipping quickly minus dedicated DevOps layers. The abstraction lets focus stay on features, though it’s more about infra spin-up than traditional build/test pipelines – kind of a different angle in the DevOps space.
Key Highlights:
- Instant secure infrastructure provisioning
- No Terraform or YAML required
- Support for AWS, Azure, and GCP
- Built-in security, monitoring, and auditing
- App-first definition for resources
Pros:
- Cuts out infra boilerplate
- Enforces best practices automatically
- Fast for feature-focused work
- Cross-cloud without rework
- Centralized change tracking
Cons:
- Infra provisioning focus over CI
- Less control for deep customization
- Tied to supported clouds
- Newer entrant in crowded space
- May overlap with existing IaC
Contact Information:
- Website: www.appfirst.dev
2. Jenkins
Jenkins runs as an open-source automation server that handles builds, deployments, and project automation at various scales. It started life focused on continuous integration but grew into something teams use for full continuous delivery setups too. The whole thing runs as a Java program that installs easily on different operating systems, and configuration happens mostly through a web browser with helpful checks along the way. Hundreds of plugins connect it to almost any tool someone might need in a pipeline. A recent UI refresh made the interface look cleaner and more up-to-date, which helps when digging through logs or setting up jobs.
Extensibility comes built-in through that plugin system, so people stretch it in all sorts of directions depending on the project. Distributed builds let work spread across machines, which speeds things up when tests or compiles pile on. Maintenance stays active with regular updates, security fixes, and community contributions keeping it relevant even now.
Key Highlights:
- Open-source with a massive plugin ecosystem for integrations
- Self-hosted and runs on Java across Windows, Linux, macOS
- Supports pipelines as code plus freestyle projects
- Distributed builds across agents for faster execution
- Web-based configuration with built-in help and error detection
Pros:
- Extremely customizable through plugins and extensions
- No vendor lock-in since it’s fully self-hosted
- Strong community support and ongoing updates
- Works well for complex or legacy setups
- Free to use without usage limits
Cons:
- Requires self-management including security and scaling
- Plugin overload can make setups fragile if not careful
- Steeper initial learning curve compared to cloud-native options
- UI still feels dated in spots despite the refresh
- More hands-on maintenance than hosted alternatives
Contact Information:
- Website: www.jenkins.io
- LinkedIn: www.linkedin.com/company/jenkins-project
- Twitter: x.com/jenkinsci
3. GitHub Actions
GitHub Actions embeds workflow automation straight into GitHub repositories so builds, tests, and deployments happen without leaving the platform. Workflows trigger on pretty much any GitHub event – pushes, pull requests, issues, releases – and run on hosted runners for Linux, macOS, Windows, even ARM or GPU when needed. Matrix strategies let tests fan out across combinations of OS and runtime versions without duplicating config. The Actions marketplace offers pre-made steps plus the ability to build custom ones in JavaScript or Docker containers.
Secrets management keeps sensitive data secure inside workflows, and live logs show progress with easy sharing for debugging failures. It handles more than just CI/CD too – things like auto-responding to issues or generating reports via the GitHub API fit naturally. For open-source projects everything stays free, while private repos get included minutes with options to scale up or bring self-hosted runners.
Key Highlights:
- Native integration with GitHub events and repositories
- Hosted runners including matrix builds for cross-platform testing
- Marketplace for reusable actions and custom ones
- Real-time logs and one-click failure sharing
- Supports self-hosted runners for custom environments
Pros:
- Seamless if code already lives on GitHub
- Simple YAML workflows with lots of triggers
- Free for public repos and generous included minutes
- Built-in secret store and container support
- Easy to extend beyond basic CI/CD
Cons:
- Tied to GitHub ecosystem for best experience
- Can hit minute limits on heavy private usage
- Less all-in-one than full DevOps platforms
- Self-hosted runners add management overhead
- Marketplace actions vary in quality
Contact Information:
- Website: github.com/features/actions
- LinkedIn: www.linkedin.com/company/github
- Twitter: x.com/github
- Instagram: www.instagram.com/github
4. GitLab CI/CD
GitLab CI/CD forms part of a broader DevSecOps platform that combines version control, issue tracking, and automated pipelines in one place. Pipelines run from code commit through testing to production deployment, all defined in YAML files stored in the repo. The setup keeps everything connected so changes flow smoothly without switching tools constantly. Open-source origins keep the core free, with options to self-host or use the hosted version.
Built-in features handle security scanning and compliance checks alongside regular builds. Remote-friendly design supports async collaboration across time zones. Monthly releases bring steady improvements, and the unified interface reduces context switching when reviewing code or monitoring deployments.
Key Highlights:
- Integrated CI/CD within the same platform as git hosting
- YAML-based pipeline configuration as code
- Built-in security and compliance scanning
- Supports self-hosted or SaaS deployment
- Unified workflow from planning to production
Pros:
- Single pane of glass for code, issues, and pipelines
- Strong focus on security baked into CI/CD
- Consistent monthly feature updates
- Works for both open-source and enterprise needs
- Easy to scale from small projects to large ones
Cons:
- Heavier footprint if only CI/CD is needed
- Self-hosting requires infrastructure management
- Learning curve for full platform features
- Can feel overwhelming for simple workflows
- SaaS version ties to their hosting
Contact Information:
- Website: gitlab.com
- LinkedIn: www.linkedin.com/company/gitlab-com
- Facebook: www.facebook.com/gitlab
- Twitter: x.com/gitlab
5. CircleCI
CircleCI provides a cloud-based platform focused on fast, reliable CI/CD with an emphasis on autonomous validation and quick feedback loops. Pipelines handle testing and deployment across many languages and environments, from mobile to AI apps to containers. Features like test chunking and smarter execution cut wait times noticeably. Rollback support adds safety for production changes.
The system supports a huge range of tech stacks and deployment targets without much hassle. AI-assisted elements help with failure analysis and pipeline tuning. Free signup gets things started, with paid tiers unlocking more capacity and advanced controls.
Key Highlights:
- Cloud-native with emphasis on speed and minimal oversight
- Broad support for languages, frameworks, and deployments
- Features for test optimization and rollback pipelines
- AI-powered insights for troubleshooting
- Works for any app at varying scales
Pros:
- Quick setup and fast pipeline execution
- Strong handling of diverse tech stacks
- Helpful automation around failures
- Reliable for frequent deploys
- Good for teams wanting less manual intervention
Cons:
- Pricing can add up on high usage
- Less flexible for heavy customization
- Relies on cloud-hosted runners primarily
- Some advanced features stay behind paywall
- Not as integrated with git hosting as others
Contact Information:
- Website: circleci.com
- LinkedIn: www.linkedin.com/company/circleci
- Twitter: x.com/circleci
6. Travis CI
Travis CI offers hosted CI/CD with a focus on simple, quick pipeline setup using minimal configuration syntax. Pipelines build and test code across supported languages like Python, JavaScript, Java, and more, often in under 20 minutes from scratch. Precision syntax cuts down on YAML bloat, and parallel jobs handle linting, docs, or multi-environment testing concurrently.
Preconfigured environments speed initial runs, while caching dependencies avoids repeated installs. Notifications go to email, Slack, or other channels on success or failure. The developer-oriented design keeps things straightforward without heavy ops work.
Key Highlights:
- Fast setup with minimal YAML configuration
- Parallel and multi-environment builds
- Preconfigured language environments
- Caching for dependencies
- Customizable notifications and integrations
Pros:
- Quick to get pipelines running
- Clean syntax reduces config hassle
- Solid parallel execution support
- Good for open-source and smaller projects
- Easy language-specific setups
Cons:
- Less feature-rich than newer platforms
- Scaling can feel limited compared to alternatives
- Community momentum has slowed
- Fewer advanced automation options
- Relies on hosted service without deep self-hosting
Contact Information:
- Website: www.travis-ci.com
- Email: support@travis-ci.com
7. Bamboo by Atlassian
Bamboo handles continuous delivery through self-hosted setups that focus on keeping pipelines running reliably even when things get busy. It ties in closely with other Atlassian tools like Bitbucket for version control and Jira for tracking, so changes stay traceable from idea through to live deployment. Automation covers workflows from code commit to pushing out releases, and built-in options help with disaster recovery plus scaling capacity without constant babysitting. High availability features aim to cut downtime during builds or deploys.
The whole thing runs on a Data Center license model with annual terms, giving full control over the environment. Remote agents handle the actual execution work, and integrations reach into things like AWS CodeDeploy for cloud pushes or Opsgenie for incident follow-up. Some find the tight coupling to the Atlassian stack convenient if already invested there, though it can feel restrictive otherwise – kind of like how ecosystem lock-in sneaks up on you after a while.
Key Highlights:
- Self-hosted continuous delivery server with high availability features
- Deep integration with Bitbucket and Jira for end-to-end traceability
- Workflow automation from code to deployment
- Support for Docker deployments and AWS CodeDeploy tasks
- Built-in disaster recovery and scaling via remote agents
Pros:
- Solid traceability when using the full Atlassian suite
- Reliable for environments needing on-prem control
- Handles disaster recovery without extra setup
- Scales through added remote agents
- Annual licensing with no credit card trials needed
Cons:
- Tied heavily to Atlassian products for best results
- Self-hosting means dealing with your own infrastructure
- Licensing costs scale with agent count
- Less flexible outside the ecosystem
- Setup feels heavier for standalone CI use
Contact Information:
- Website: www.atlassian.com/software/bamboo
- Phone: +1 415 701 1110
- Address: 350 Bush Street Floor 13 San Francisco, CA 94104 United States
- LinkedIn: www.linkedin.com/company/atlassian
- Facebook: www.facebook.com/Atlassian
- Twitter: x.com/atlassian
8. TeamCity by JetBrains
TeamCity serves as a CI/CD server built around handling projects at different sizes with a mix of configuration styles. Pipelines support code as configuration, and features like test intelligence help spot flaky tests or slow steps without manual digging. Self-optimizing builds adjust based on past runs, which cuts down on wasted time over repeated executions. Security stays front and center with compliance to standards like SOC 2.
The interface keeps everything visible at a glance across multiple projects, which helps when juggling several repos. Free starts exist for basic use, with paid options unlocking higher limits and advanced controls. Some setups lean into its strength in large monorepos or mixed tech stacks, though the learning curve hits harder if coming from simpler YAML-only tools.
Key Highlights:
- Configuration as code with self-optimizing pipelines
- Test intelligence for identifying issues automatically
- All projects overview in one interface
- Strong focus on security and compliance standards
- Support for varied tech stacks and scales
Pros:
- Helpful test insights reduce debugging time
- Scales well for bigger project collections
- Configuration options feel flexible once set up
- Security baked in from the start
- Free entry point for small usage
Cons:
- Can overwhelm with options on first try
- Self-hosted version needs maintenance
- Paid tiers required for serious scaling
- Less cloud-native feel than newer entrants
- Interface takes getting used to
Contact Information:
- Website: www.jetbrains.com/teamcity
- Phone: +1 888 672 1076
- Email: sales.us@jetbrains.com
- Address: 989 East Hillsdale Blvd. Suite 200 CA 94404 Foster City USA
- LinkedIn: www.linkedin.com/company/jetbrains
- Facebook: www.facebook.com/JetBrains
- Twitter: x.com/jetbrains
- Instagram: www.instagram.com/jetbrains
9. Bitbucket Pipelines
Bitbucket Pipelines runs CI/CD straight inside the Bitbucket repo, so builds, tests, and deploys happen without jumping between tools. AI steps in to suggest fixes when pipelines break, which cuts down on staring at error logs wondering what went wrong. Templates get things started quickly for common languages, and everything ties back to commits, pull requests, and Jira issues if the setup includes those. Visibility stays in one place with logs, progress tracking, and deployment status all visible in the interface.
Hybrid runners let some jobs run on Atlassian-hosted infrastructure while others use self-hosted ones for sensitive or custom needs. Standards enforcement applies across projects without locking down every detail, leaving room for teams to tweak non-critical steps or pull in external tools. The whole thing scales capacity automatically based on load, which helps when usage spikes without constant manual tweaks. It fits nicely if the code already lives in Bitbucket, though it can feel a bit locked into the Atlassian world once pipelines get complicated.
Key Highlights:
- CI/CD embedded directly in Bitbucket repositories
- AI assistance for troubleshooting broken pipelines
- Built-in templates for quick workflow setup
- Hybrid runners mixing hosted and self-hosted execution
- Centralized visibility for logs, progress, and deployments
Pros:
- No context switching when code is already in Bitbucket
- AI suggestions speed up fixing failures
- Easy scaling without upfront capacity planning
- Ties deployments to commits and issues naturally
- Templates reduce initial YAML writing
Cons:
- Works best inside the Atlassian ecosystem
- Less flexible for non-Bitbucket repos
- Self-hosted runners add management work
- Can get pricey with heavy pipeline usage
- Customization limited in stricter org standards
Contact Information:
- Website: bitbucket.org
- Phone: +1 415 701 1110
- Address: 350 Bush Street Floor 13 San Francisco, CA 94104 United States
- Facebook: www.facebook.com/Atlassian
- Twitter: x.com/bitbucket
10. GoCD
GoCD stands out for modeling and visualizing complex delivery workflows without relying on plugins for core CD features. The value stream map lays out the full path from commit to production in one screen, making bottlenecks easier to spot. Dependency management and parallel execution handle intricate pipelines cleanly. Traceability tracks every change through builds for quick troubleshooting when something breaks.
Cloud-native deployments work smoothly with Kubernetes, Docker, and AWS out of the box. The plugin system extends integrations thoughtfully, with upgrades designed to avoid breaking existing setups. People who deal with multi-stage or fan-out workflows often stick with it because the modeling just makes sense once past the initial setup hump.
Key Highlights:
- End-to-end visualization via value stream map
- Built-in complex workflow modeling and dependencies
- Advanced traceability from commit to deploy
- Native support for Kubernetes and Docker deployments
- Extensible plugin architecture with non-breaking upgrades
Pros:
- Clear visibility into pipeline flow
- Strong at handling complicated CD paths
- No plugins needed for core CD capabilities
- Good troubleshooting through change tracking
- Open-source core keeps it accessible
Cons:
- Visualization focus might feel overkill for simple pipelines
- Self-hosted requires ops effort
- Learning the modeling constructs takes time
- Less emphasis on raw build speed
- Community plugins vary in maintenance
Contact Information:
- Website: www.gocd.org
11. Buddy
Buddy focuses on deployment-heavy workflows with support for mixing targets across clouds, VPS, bare metal, and CDNs. Pipelines run actions in containers on different architectures like Intel, ARM, Linux, Windows, or even NixOS. Triggers pull from GitHub, AWS, Slack, and more, while secrets stay managed securely with OIDC options. One-click rollbacks and manual approvals add safety nets.
The interface lets building happen through UI, YAML, or even generated code, which suits different preferences. Caching keeps repeated runs snappy, and matrix steps handle parallel or sequential execution. It shines in GitOps or IaC scenarios, though the sheer number of targets can make initial config a bit fiddly if not planned out.
Key Highlights:
- Deployments to thousands of mixed targets
- Agent and agentless options with one-click rollback
- Pipelines via UI, YAML, or code generation
- Containerized steps across architectures
- Triggers from GitHub, AWS, Slack, and others
Pros:
- Avoids vendor lock-in with broad target support
- Rollback simplicity saves headaches
- Flexible pipeline design methods
- Solid caching for faster runs
- Good for deployment-focused workflows
Cons:
- Deployment emphasis over pure build speed
- Managing many targets adds complexity
- UI/YAML mix can feel inconsistent
- Less known in some circles
- Self-management for advanced secrets
Contact Information:
- Website: buddy.works
- Email: support@buddy.works
- Twitter: x.com/useBuddy
12. Harness
Harness centers on AI-driven automation across the software delivery process, with strong emphasis on CI/CD pipelines that handle builds, tests, and deployments. Continuous Integration supports various languages and OS while aiming for quicker execution, and Continuous Delivery covers multi-cloud and multi-region setups through GitOps approaches. AI agents tackle specific areas like release management, testing, reliability, security, and even cost optimization, trying to reduce manual work in pipelines. The platform bundles extras like security scanning, chaos experiments, feature flags, and cloud cost tools into one place.
It appeals to setups where code generation ramps up volume and pipelines risk becoming bottlenecks. Automation reaches into infrastructure and full paths to production, with developer self-service elements. Some parts feel geared toward larger environments where AI helps spot issues or suggest fixes, though it packs a lot – which can make it dense if only basic CI is the goal.
Key Highlights:
- AI agents for DevOps, testing, release, reliability, and security tasks
- Continuous Integration with broad language and OS support
- Continuous Delivery via GitOps for multi-cloud deployments
- Built-in security orchestration and vulnerability remediation
- Additional tools for chaos engineering, feature management, and cost control
Pros:
- AI reduces repetitive pipeline work
- Covers end-to-end from build to production
- Multi-cloud handling without much rework
- Security and compliance features integrated
- Self-service options ease developer flow
Cons:
- Heavy on features which adds complexity
- AI reliance might need tuning for accuracy
- Broader scope than pure CI tools
- Setup involves more decisions upfront
- Potential overlap if already using specialized tools
Contact Information:
- Website: www.harness.io
- LinkedIn: www.linkedin.com/company/harnessinc
- Facebook: www.facebook.com/harnessinc
- Twitter: x.com/harnessio
- Instagram: www.instagram.com/harness.io
13. Spinnaker
Spinnaker operates as an open-source continuous delivery platform originally built at Netflix for managing releases across multiple clouds. Pipelines support running tests, managing server groups, and monitoring rollouts with triggers from git events, CI systems like Jenkins or Travis, Docker images, or schedules. Deployment strategies include blue/green and canary approaches, plus support for immutable images to avoid configuration drift and simplify rollbacks.
Integrations cover major providers like AWS, Kubernetes, Google Cloud, Azure, and others, with monitoring hooks into tools like Prometheus or Datadog for analysis during canaries. Role-based access and notifications through Slack or email fit into enterprise workflows. The immutable infrastructure push makes sense for stability-focused environments, though the pipeline setup can get intricate when chaining many stages.
Key Highlights:
- Open-source multi-cloud continuous delivery platform
- Flexible pipeline management with varied triggers
- Built-in blue/green and canary deployment strategies
- Immutable image support for consistent rollouts
- Integrations with major clouds and monitoring tools
Pros:
- Strong multi-cloud capabilities
- Good rollback and drift prevention
- Open-source avoids vendor ties
- Battle-tested in high-volume releases
- Customizable strategies and triggers
Cons:
- Pipeline complexity grows quickly
- Requires self-hosting and maintenance
- Steeper curve for simple use cases
- Less focus on build speed
- Integrations need configuration effort
Contact Information:
- Website: spinnaker.io
- Twitter: x.com/spinnakerio
14. Codefresh
Codefresh builds around GitOps with tight Argo CD integration, adding layers for testing, promotion, and full CI/CD on Kubernetes. Promotion flows get defined in one CRD to move changes across environments without heavy scripting. The setup starts by connecting Argo CD, annotating apps, defining environments, and setting rules – then promotions happen with self-service access for developers.
CI pipelines run container-first with caching, live debugging, and shared YAML for multiple repos. It positions itself to fill gaps in plain Argo CD by handling what happens between syncs. The approach suits teams already deep into GitOps who want controlled progression without tickets, though it assumes Kubernetes familiarity from the start.
Key Highlights:
- GitOps platform built on Argo CD
- Promotion flows via single CRD
- Kubernetes-first CI with caching and debugging
- Self-service deployments and visibility
- Enterprise support options for Argo CD
Pros:
- Clean GitOps promotion logic
- Reduces scripting for environment moves
- Developer-friendly self-service
- Solid Kubernetes pipeline support
- Abstracts some Argo complexity
Cons:
- Relies heavily on Argo CD ecosystem
- Less ideal outside Kubernetes
- Promotion rules take planning
- CI feels secondary to CD focus
- Enterprise features behind contact
Contact Information:
- Website: codefresh.io
- LinkedIn: www.linkedin.com/company/codefresh
- Facebook: www.facebook.com/codefresh.io
- Twitter: x.com/codefresh
15. Octopus Deploy
Octopus Deploy handles continuous delivery with emphasis on complex or scaled releases to Kubernetes, multi-cloud, and on-prem infrastructure. It automates deployments, runbooks, and operations from commit through production, often pairing with separate CI tools for builds. Release orchestration covers environment progression, tenanted setups, and reusable processes across clusters.
The tool shines when deployments involve many environments or compliance needs, providing centralized views, logs, and troubleshooting without scattered scripts. It separates CD concerns from CI to avoid bloat in all-in-one platforms. For some, the dedicated CD focus feels refreshing after wrestling with overgrown pipeline configs.
Key Highlights:
- Deployment automation for Kubernetes and multi-cloud
- Release orchestration and runbook automation
- Environment progression and tenanted deployments
- Integration with various CI systems
- Centralized dashboard for status and logs
Pros:
- Handles scale and complexity well
- Clean separation of CI and CD
- Good for compliance and auditing
- Reusable processes reduce duplication
- Strong Kubernetes and cloud support
Cons:
- Not a full CI replacement
- Requires another tool for builds
- Setup geared toward larger ops
- Less lightweight for small projects
- Management overhead in self-hosting
Contact Information:
- Website: octopus.com
- Phone: +1 512-823-0256
- Email: sales@octopus.com
- Address: Level 4, 199 Grey Street, South Brisbane, QLD 4101, Australia
- LinkedIn: www.linkedin.com/company/octopus-deploy
- Twitter: x.com/OctopusDeploy
16. AppVeyor
AppVeyor delivers hosted continuous integration and deployment with a long-standing focus on Windows environments, though Linux and macOS get support too. Builds run in clean VMs with admin access, multi-stage deployments, and YAML or UI configuration. Source control connections cover GitHub, Bitbucket, GitLab, Azure Repos, and others, with branch and pull request builds included.
Open-source projects use the service free, while private ones need subscriptions and enterprise options exist for on-prem installs. The Windows emphasis makes it a go-to for .NET or Windows-specific stacks where other tools sometimes stumble on compatibility quirks.
Key Highlights:
- Hosted CI/CD with Windows focus
- Clean isolated build environments
- YAML or UI pipeline configuration
- Support for multiple source controls
- Free for open-source projects
Pros:
- Reliable Windows build handling
- Simple setup for .NET workflows
- Branch and PR builds built-in
- Deployment stages included
- On-prem enterprise choice available
Cons:
- Windows bias limits some stacks
- Hosted limits on free tier
- Less buzz in modern cloud-native circles
- UI feels a bit older-school
- Private projects require payment
Contact Information:
- Website: www.appveyor.com
- Email: support@appveyor.com
- Address: 1012–1030 West Georgia Street Vancouver, BC V6E 2Y3, Canada
- Twitter: x.com/appveyor
Conclusion
Picking a CI tool boils down to what actually slows your work down right now. If you’re drowning in config files and waiting on builds that never seem to finish, something cloud-native and fast might feel like a breath of fresh air. Got a pile of legacy stuff or need total control without someone else’s billing surprises? Self-hosted open-source options still hold their own, even if they ask for more elbow grease upfront. The point isn’t chasing the shiniest new thing – it’s finding the setup that lets you push code, see it run, fix what breaks, and do it again tomorrow without wanting to throw your laptop out the window.
The landscape keeps moving. Pipelines get smarter with AI nudges, security checks slip in earlier, and GitOps-style thinking spreads because who has time to manually promote every change? But at the end of the day, the best tool is the one you actually use consistently. Start small, test a couple that match your stack and pain points, measure how much less swearing happens on deploy days. You’ll know pretty quick which one fits. Keep shipping – the rest sorts itself out.
