The three new Puppet products based on Distelli’s technology are Puppet Pipelines for Apps, which automates key application development and delivery tasks; Puppet Pipelines for Containers, which enables users to build Docker images from a repository and deploy them to Kubernetes clusters; and Puppet Container Registry, which gives developers a comprehensive view of their Docker images across all repositories.
Source: Puppet Launches Barrage Of Products To Enable ‘New Age’ Of Software Automation And DevOps
When we’re talking with customers about the value that Puppet brings to them, invariably we talk about the future, and the future in their mind in some ways includes containers. There’s a lot experimentation going on. There’s a lot of Docker work being done and container work being done, Kubernetes work being done on their laptops. The conversations we have with them is how does Puppet help you bring it into production, into mission-critical production? How do you keep it secure? How do you operate it? All of those things that we know how to do and have done with various kinds of infrastructure, whether it was OpenStack, whether it was virtual machines, whether it’s just server configuration. For us, we take the same approach to containers and are evolving our road maps to make sure that customers have the same benefits they’ve have had over the years now with containers or other technology.
From an interview with Puppets CEO, Sanjay Mirchandani.
Growth, in terms of customers and revenue, appears to be significant. About 34,000 companies use Puppet’s software to automate data center operations, with 6,000 added last year, Kanies said. The company is approaching $100 million in annual sales and is expanding its headquarters in Portland, Ore. In January, it secured $22 million in financing from Silicon Valley Bank to fuel further expansion.
And then a stray container momentum/penetration number from Forrester:
Stroud sees promise in Puppet’s container support, despite his observation that only about 8% of companies are using containers for production workloads. “It gives current Puppetized work the ability to be containerized,” he said.
From The Register’s PuppetConf report