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Testimonials
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
They are very knowledgeable in their area of expertise.
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
I was impressed with the amount of professionalism, communication, and speed of delivery.
They have been great at adjusting and improving as we have worked together.
Working with MeteorOps was exactly the solution we looked for. We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
Nguyen is a champ. He's fast and has great communication. Well done!
We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
We were impressed with their commitment to the project.
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❌
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💥
🔍
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
Dagger is a programmable CI/CD engine that lets teams define build, test, and delivery workflows in code and run them consistently across developer machines and CI runners. It is commonly used by DevOps and platform engineering teams to reduce environment drift, standardize automation across repositories, and make pipeline logic easier to review and reuse.
Dagger executes steps in containers, making dependencies explicit and portable. It typically integrates with existing CI platforms (such as GitHub Actions or GitLab CI) by invoking Dagger from a job while keeping the workflow code versioned alongside the application.
- Container-based execution for reproducible builds and tests
- Pipeline-as-code modules that can be shared across services
- Local-to-CI parity to speed up iteration and debugging
- Works alongside existing CI systems rather than replacing them
Continuous Delivery is a software development practice in which code changes are automatically built, tested, and deployed to production with minimal human intervention.
Several advantages of using Continuous Delivery in your business:
- Continuous Delivery enables frequent, small releases, leading to faster time to market for new features and bug fixes.
- Collaboration between development and operations teams is promoted, ensuring code is always in a releasable state.
- Automation of many steps in the release process increases efficiency and reduces human error.
- More frequent testing and integration lead to fewer bugs and better overall software quality.
- Faster delivery of new features and bug fixes results in increased customer satisfaction and loyalty.
Dagger is a programmable CI/CD engine that lets teams define build, test, and release workflows in code and run them consistently across developer machines and CI runners. It is used to improve portability, reproducibility, and maintainability compared to YAML-heavy pipelines.
- Workflow-as-code makes pipelines versioned, reviewable, and refactorable with the same practices as application code.
- Consistent containerized execution reduces environment drift by running identical steps locally and in CI.
- Reusable modules enable standardized build, test, security, and release patterns across many repositories.
- Local pipeline runs shorten feedback loops by allowing developers to debug CI steps without pushing commits.
- Explicit dependencies improve reproducibility by capturing tools and runtime requirements in the pipeline definition.
- Composable primitives support parallel tasks, fan-out workflows, and conditional logic without brittle templating.
- Portability across CI providers keeps pipeline logic stable when changing runners or moving between platforms.
- Cache-friendly execution can reduce build times by reusing layers and intermediate artifacts across runs.
- Supply chain controls are easier to integrate because signing, SBOM generation, and policy checks can be codified as shared steps.
Dagger is a good fit for teams standardizing CI/CD across multiple services, building internal delivery platforms, or reducing YAML sprawl. Trade-offs include adopting a code-first pipeline approach and investing in module design to keep shared components maintainable.
Common alternatives include GitHub Actions, GitLab CI, Jenkins, and Tekton.
Our experience with Dagger helped us turn CI/CD workflows into versioned, testable code that runs the same on developer laptops and CI runners, and we’ve applied those patterns to client environments to reduce pipeline drift and improve delivery reliability.
Some of the things we did include:
- Designed Dagger module architectures to standardize build, test, and release workflows across multiple repositories and teams.
- Refactored YAML-heavy pipelines into Dagger pipeline code, keeping existing CI orchestrators such as GitHub Actions and GitLab CI as the runner layer.
- Implemented reproducible container build pipelines with Docker, including cache strategies, multi-stage builds, and artifact promotion between environments.
- Added “run locally” developer workflows so engineers could reproduce CI failures quickly, shorten feedback loops, and reduce time spent debugging runners.
- Integrated Dagger pipelines with Kubernetes delivery processes, automating environment bootstrapping, smoke tests, and release validation steps.
- Hardened secret handling by implementing least-privilege access, short-lived credentials, safe log redaction, and clear separation of build vs deploy permissions.
- Built reusable modules for common checks (linting, unit/integration tests, SBOM generation, signing, release tagging) to reduce duplicated CI logic and enforce consistency.
- Improved pipeline performance by tuning concurrency, caching, dependency layering, and splitting fast checks from longer-running suites.
- Added CI observability with structured logs, build metadata, and failure classification to improve triage and reporting across teams.
- Delivered enablement sessions and hands-on pairing to help teams adopt Dagger practices, maintain modules, and evolve pipeline code safely over time.
This experience helped us accumulate significant knowledge across multiple Dagger use-cases, and it enables us to deliver high-quality Dagger setups that are portable, secure, and aligned with real-world delivery constraints.
Some of the things we can help you do with Dagger include:
- Review your current CI/CD pipelines, build tooling, and runner setup, then deliver a findings report with prioritized remediation and quick wins.
- Create an adoption roadmap to standardize “pipelines as code” across teams, repositories, and environments with clear ownership and rollout phases.
- Design and implement reusable Dagger modules for build, test, packaging, security checks, and release workflows to reduce duplication.
- Migrate brittle YAML-based CI configurations into portable Dagger pipelines that run consistently on developer machines and CI runners.
- Harden supply-chain security with guardrails such as pinned base images, SBOM generation, secret handling, provenance, and policy checks.
- Optimize performance and cost by improving caching strategies, container layering, parallel execution, and runner utilization.
- Integrate Dagger workflows with container build and registry practices to produce traceable, reproducible artifacts and predictable promotions.
- Implement release automation aligned with Git workflows, approvals, and environment promotion, including quality gates and rollback-friendly patterns.
- Troubleshoot flaky pipelines and nondeterministic builds to improve reliability, reduce cycle time, and tighten developer feedback loops.
- Enable your team with hands-on workshops, reference implementations, and documentation so engineers can own and extend Dagger long-term.
