Capillary reduced ops tickets by 95%

“Our releases are fast. And with less developer time needed our teams can focus on building exciting features. We’ve saved countless hours and costs.”

Piyush K,
Chief Architect, Capillary Technologies,

Treebo reduced production issues by 70%

"With Facets, our staging environments look identical to production environments. So in case of production issues, we can be sure there are no infra drifts."

Kadam Jeet Jain,
Co-Founder & CTO, Treebo Hotels and Hotel Superhero.

GGX switched from AWS to GCP in 2 weeks

"Facets has radically changed our DevOps for the better. They did all the heavy lifting and saved us precious time and resources in our when we switched from AWS to GCP."

Kaustubh Bhoyar,
Head of engineering, GGX

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Application Definition

Pack

The Cloud Native Buildpacks CLI for building container images

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Summary

Pack is a versatile CLI tool developed for Cloud Native Buildpacks, enabling users to effortlessly build container images for their applications. It offers a streamlined workflow for building images by automatically detecting, analyzing, and compiling application source code into optimized images. With pack, developers can easily customize their build process using buildpacks, ensuring consistency and reliability across different environments. Its intuitive interface and robust functionality make it an essential tool for modern application development and deployment workflows, empowering developers to build and manage containerized applications with ease.

Key Features

  • Pack is designed for Cloud Native Buildpacks, providing seamless integration and support for building container images.
  • With pack, developers can automate the process of detecting, analyzing, and compiling application source code into optimized container images.
  • Pack offers a command-line interface (CLI) for building container images, making it easy for developers to incorporate into their existing workflows.
  • Allows developers to customize the build process using buildpacks, enabling them to tailor the image creation process to their specific requirements.

How does it work?

Real world example

Pros

  • Seamlessly integrates with Cloud Native Buildpacks, ensuring compatibility and smooth operation within modern containerization workflows.
  • Developers can automate the process of building container images, streamlining the development and deployment pipeline for enhanced efficiency.
  • Produces optimized container images, optimizing resource utilization and enhancing performance for deployed applications.
  • Developers can maintain consistency in image builds across various environments, minimizing potential deployment discrepancies and ensuring a reliable deployment experience.

Cons

  • While pack provides robust features for container image building, it may lack some advanced capabilities compared to alternative containerization tools, potentially limiting its suitability for complex use cases.
  • The functionality of Pack is contingent on the Cloud Native Buildpacks ecosystem, including buildpack libraries and registries, which may restrict flexibility or interoperability with other containerization tools and ecosystems.
  • Building container images with pack may consume additional system resources, particularly for larger or more intricate applications, potentially impacting performance in resource-constrained environments.

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Capillary reduced ops tickets by 95%

“Our releases are fast. And with less developer time needed our teams can focus on building exciting features. We’ve saved countless hours and costs.”

Piyush K,
Chief Architect, Capillary Technologies,

Treebo reduced production issues by 70%

"With Facets, our staging environments look identical to production environments. So in case of production issues, we can be sure there are no infra drifts."

Kadam Jeet Jain,
Co-Founder & CTO, Treebo Hotels and Hotel Superhero.

GGX switched from AWS to GCP in 2 weeks

"Facets has radically changed our DevOps for the better. They did all the heavy lifting and saved us precious time and resources in our when we switched from AWS to GCP."

Kaustubh Bhoyar,
Head of engineering, GGX

Trusted by companies to run production at scale

Capillary | FacetsMPL | FacetsTreebo | FacetsPurplle | Facets

Get in touch with us

Tell us your queries and we’ll get back to you

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