EMA Quick Take: Why Puppet Acquired Distelli – Kubernetes Management Is Key

Sep 21, 2017 4:50:38 PM

 

While Puppet could already manage the Kubernetes lifecycle from an IT Operations perspective, Distelli allows Puppet to also automate the DevOps process with Kubernetes as a deployment target. So this means, the Puppet Kubernetes module already covered the Ops part of DevOps and now Distelli's release automation covers the Dev part. Now it’s DevOps.

As business units and their developers gain on influence, the company needs to get out of the IT operators’ corner and convince developers and their bosses that their DevOps story beats what the competition can offer. For a successful business case, puppet needs a strong container story. It is key to understand that while Puppet has a large number of customers, the DevOps automation market is not easy to conquer for the following 2 key reasons:

  • Most enterprises use multiple tools for configuration management and DevOps automation. This means that Puppet often sees Chef and Ansible in their accounts and needs to deliver strong arguments to expand its footprint.
  • EMA Research has identified 17 different container related product categories. These will be analyzed in our upcoming market guide to provide enterprises with advice and a strategy in regard to their next steps for developing a successful and scalable container strategy.

Despite much marketing hype, the DevOps and container markets both are still at an early stage on their maturity curve. EMA research data from Q2 2017 shows that speed, cost, compliance and overall software quality are large concerns for almost any enterprise when it comes to DevOps and containers. Complexity, a lack of management tools, and deficiencies in terms of staff skills are holding back container adoption in production and at scale.

What Does Distelli Do?

Distelli simplifies the DevOps process by offering a GUI and an API for managing, automating and monitoring the DevOps pipeline. The process typically starts by a developer committing code to GitHub, Bitbucket or GitLab. Distelli grabs it from there, builds it and deploys it to one or multiple Kubernetes clusters based on a specific Docker image. Distelli integrates with Jenkins and supports the major container registries, such as Google Container Registry, EC2 Container Registry and DockerHub.

[embed width=500] https://youtu.be/cMQAv5T-OG4[/embed]

DevOps pipeline automation leads to fewer manual and often repetitive deployment steps and enforces deployment policies to optimize compliance. Managing code release through Distelli also results in enterprises receiving comprehensive audit reports showing exactly what changes were made, when and by whom. Interestingly Distelli offers very similar functionality for VM environment.

Market Context

This acquisition comes in the wake of Chef gaining traction with its Habitat product, RedHat’s Ansible growing faster due to its pragmatic approach to container management, and HPE remodelling its data center automation product into a comprehensive compliance centric DevOps and container management platform. There are numerous other strong players in the DevOps and container automation space, such as ElectricCloud, Automic CA / Automic, and IBM, with VMware and Microsoft also honing their stories. Many of these vendors are partnering with Puppet, however, they are competing for the same customer budget in the end.

Betting on Kubernetes Is Right

Based on EMA research, Kubernetes is growing twice as fast as its closest competitors -Mesosphere and Docker Swarm. Therefore, acquiring a company that automates the DevOps process around Kubernetes makes sense.

Should You Care?

You should care each time a competitor in the DevOps marketplace simplifies the always way too complex toolchain. If you are planning your DevOps strategy around Kubernetes, Puppet can now offer an interesting solution.

Torsten Volk

Written by Torsten Volk

With over 15 years of enterprise IT experience, including a two-and-a-half-year stint leading ASG Technologies' cloud business unit, Torsten returns to EMA to help end users and vendors leverage the opportunities presented by today's hybrid cloud and software-defined infrastructure environments in combination with advanced machine learning. Torsten specializes in topics that lead the way from hybrid cloud and the software-defined data center (SDDC) toward a business-defined concept of enterprise IT. Torsten spearheads research projects on hybrid cloud and machine learning combined with an application- and service-centric approach to hyperconverged infrastructure, capacity planning, intelligent workload placement, public cloud, open source frameworks, containers and hyperscale computing.

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