Puppet is looking to shed light on potential container deployment and management challenges with a pair of new platforms that expand its enterprise offerings.
In tackling the first issue, Puppet launched its Lumogon platform, which the company said provides a “window” into each Docker image and running container and provides a way to collect, query and report on container application metadata. The platform can provide records on all changes made through a container lifecycle without needing to install software into the container image or run a shell in a container namespace. It also provides a centralized query tool for multiple container deployments, and is is scalable.
The platform launch garnered accolades from Google.
“Containers are the atomic units of software,” said David Aronchick, Kubernetes product manager at Google, in a statement tied to the Lumogon news. “But sometimes you need to inspect the particles that make up the atoms and know in what atoms exactly each particle lives. We’re happy to see open solutions like the Lumogon project help users know what software is in their containers without having to change the way they build and run containers today.”
Puppet’s second effort is around its Cloud Discovery service, which it said brings situational awareness to cloud environments not managed by Puppet. The cloud-first, as-a-service platform allows for scanning and data collecting across public, private, and hybrid cloud deployments, which can allow for quicker action in terms of managing data models for companies relying on various cloud deployment methods.
Puppet CTO Deepak Giridharagopal said the moves were “pivotal” for the company as it looks to expand beyond its enterprise platform and into systems allowing for discovery and management.
Portland, Oregon-based Puppet last year unveiled its Docker Image Build, which automates the container build process to help organizations deploy containers into production environments. The company said the product provides users a consistent way to install Docker environments using the same code to automate the delivery of software in the data center or the cloud.
The company at the same time announced updates to Puppet Enterprise 2016.4, including a deeper awareness into the changes of an organization’s infrastructure designed to allow an IT team to segment infrastructure and applications based on facts stored in Puppet, such as location, environment, or configuration resources, and deploy changes to those targeted subjects.