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Testimonials
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.
We were impressed with their commitment to the project.
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.
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.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
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.
Nguyen is a champ. He's fast and has great communication. Well done!
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.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
They are very knowledgeable in their area of expertise.
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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?
HashiCorp Packer is a tool designed to automate the creation of machine images across multiple platforms from a single configuration. It simplifies the process of image creation for cloud, virtual, and physical environments by integrating with various builders such as AWS, Azure, and Google Cloud, and provisioning tools like Chef and Ansible. This ensures consistent, repeatable builds, enhancing security and reducing potential errors. Packer supports immutable infrastructure practices by facilitating the use of disposable images, making the deployment process more efficient and manageable. Its extensive documentation and strong community support further aid in its adoption for infrastructure management and deployment tasks.
Continuous Integration is a mode of work where multiple programmers can integrate changes continuously into the same code.
The foundation of successful collaboration lies in the agreement on facts, while the key to achieving development velocity is through conducting experiments in the form of tests to validate the code's functionality.
Continuous Integration facilitates both of these processes by creating two distinct processes:
- The first process allows developers to agree on the "true" codebase, commonly called the master branch or trunk.
- The second process validates the codebase after changes are made using tests.
For startups, it is crucial to have processes in place that enable collaboration, and enhance the delivery of changes in a consistent, predictable, and safe manner. This is typically achieved by running automated tests after the introduction of a change into a Git branch or after creating a Pull-Request. If the tests fail or if the branch is not up-to-date with the latest changes from the main branch, the change to the code cannot be introduced to the main version of the code. Such measures ensure that non-working changes are not introduced into the main branch, instilling confidence in introducing changes to the system.
- HashiCorp Packer automates the creation of any type of machine image
- Enables consistent image creation for multiple platforms from a single source configuration
- Supports a wide array of builders such as AWS, Azure, Google Cloud, VMware, and more
- Facilitates the integration of provisioning tools like Chef, Ansible, or Shell scripts
- Streamlines the development and deployment process by creating predictable, repeatable builds
- Enhances security and compliance by automating the image creation process
- Reduces the potential for human error in image creation and configuration
- Promotes immutable infrastructure practices by encouraging the use of disposable, consistent images
- Offers detailed documentation and a strong community for support and collaboration
- Simplifies the management of infrastructure across various cloud and on-premises environments
