Infrastructure Provisioning for Ansible with Digital Rebar Provision

Digital Rebar Provision (DRP) is the perfect technology partner for Ansible customers looking to automate their infrastructure setup before applying their orchestration tool of choice. DRP automatically generates a complete inventory of provisioned infrastructure which is a must have for Ansible to complete its orchestration. In addition, DRP is able to deploy Kubernetes clusters using Ansible and Kubespray as part of its standard Workflow automated process.

Together, DRP and Ansible enhance the automation, repeatability, and transparency for DevOps teams.

Learn more about DRP and Ansible in the demonstration video and podcasts below.

Demonstration Video of Kubespray with Digital Rebar Provision:

Learn more about Digital Rebar Provision and Ansible in this podcast:

Learn more about Digital Rebar Provision, Ansible and Kubernetes installation with Kubespray in this podcast:

Full Stack Physical Provisioning Automation: Metal to Platform Delivery

RackN and the Digital Rebar community are focused on solving key issues learned from enterprise DevOps teams:

  1. Operations are inconsistent, manual and heterogeneous
  2. Foundational automation makes many problems go away
  3. “Apply, Rinse, Repeat” (aka Immutable Infrastructure)

The learnings from these experiences led the RackN founders to analyze the current state of the provisioning to platform marketplace which is currently a jumble of disconnected tools that have been architected and released over the past 20 to 30 years. As you can see in the diagram below, there exists an Integration Gap between the limited number of Provision/Control tools and a large selection of Orchestration/Platforms.

This Integration Gap presents significant challenges to DevOps teams looking to deploy a variety of platforms with their chosen Orchestration tool. We seamlessly integrate the Control and Provision layer with any Orchestration or Platform chosen providing a single foundational platform to manage your infrastructure.

With a solid foundation built on Digital Rebar and RackN, operators can proactively choose how far up the stack they wish to deploy without being locked in from old tools. For example, Digital Rebar can simply provision a Windows or Linux OS, an Ansible or Chef environment, or continue up the stack to a complete Kubernetes Cluster.

This flexibility from a single Provision and Control platform meets the needs of operators faced with complexity in heterogeneous infrastructure, clouds, and edge computing. This foundation enables IT to take advantage of new deployment concepts such as Immutable Infrastructure.  

Get started today with our 30-day trial to see how Digital Rebar and RackN can automate your provisioning and control technology to meet the rapidly accelerating demands on internal IT teams.

Data Center’s Last Mile: Zero Touch Metal Automation

The embedded video is an excellent RackN and Digital Rebar overview created by Rob Hirschfeld and Greg Althaus, co-founders of RackN on the critical issue facing data center operations teams. Their open-source based offering completes the integration challenge existing between platforms/orchestration tools and control/provision technology.

By integrating with the platform and orchestration solutions, RackN is able to replace the control and provisioning tools without adding complexity or replacing established technology.

Watch the complete video below as Rob Hirschfeld provides the background of how RackN arrived at the current offering and the benefits for data center operators to support bare metal provisioning as well as immutable infrastructure. (Slides)

The demonstration video referenced in this overview:

The white paper referenced in this overview:

 

 

 

 

 

 

 

Have more questions? Contact us at sales@rackn.com or via social media on Twitter at @rackngo to learn more.

Why Fork Docker? Complexity Wack-a-Mole and Commercial Open Source

Update 12/14/16: Docker announced that they would create a container engine only project, ContinainerD, to decouple the engine from management layers above.  Hopefully this addresses this issues outlined in the post below.

Monday, The New Stack broke news about a possible fork of the Docker Engine and prominently quoted me saying “Docker consistently breaks backend compatibility.”  The technical instability alone is not what’s prompting industry leaders like Google, Red Hat and Huawei to take drastic and potentially risky community action in a central project.

So what’s driving a fork?  It’s the intersection of Cash, Complexity and Community.

hamsterIn fact, I’d warned about this risk over a year ago: Docker is both a core infrastucture technology (the docker container runner, aka Docker Engine) and a commercial company that manages the Docker brand.  The community formed a standard, runC, to try and standardize; however, Docker continues to deviate from (or innovate faster) that base.

It’s important for me to note that we use Docker tools and technologies heavily.  So far, I’ve been a long-time advocate and user of Docker’s innovative technology.  As such, we’ve also had to ride the rapid release roller coaster.

Let’s look at what’s going on here in three key areas:

1. Cash

The expected monetization of containers is the multi-system orchestration and support infrastructure.  Since many companies look to containers as leading the disruptive next innovation wave, the idea that Docker is holding part of their plans hostage is simply unacceptable.

So far, the open source Docker Engine has been simply included without payment into these products.  That changed in version 1.12 when Docker co-mingled their competitive Swarm product into the Docker Engine.  That effectively forces these other parties to advocate and distribute their competitors product.

2. Complexity

When Docker added cool Swarm Orchestration features into the v1.12 runtime, it added a lot of complexity too.  That may be simple from a “how many things do I have to download and type” perspective; however, that single unit is now dragging around a lot more code.

In one of the recent comments about this issue, Bob Wise bemoaned the need for infrastructure to be boring.  Even as we look to complex orchestration like Swarm, Kubernetes, Mesos, Rancher and others to perform application automation magic, we also need to reduce complexity in our infrastructure layers.

Along those lines, operators want key abstractions like containers to be as simple and focused as possible.  We’ve seen similar paths for virtualization runtimes like KVM, Xen and VMware that focus on delivering a very narrow band of functionality very well.  There is a lot of pressure from people building with containers to have a similar experience from the container runtime.

This approach both helps operators manage infrastructure and creates a healthy ecosystem of companies that leverage the runtimes.

Note: My company, RackN, believes strongly in this need and it’s a core part of our composable approach to automation with Digital Rebar.

3. Community

Multi-vendor open source is a very challenging and specialized type of community.  In these communities, most of the contributors are paid by companies with a vested (not necessarily transparent) interest in the project components.  If the participants of the community feel that they are not being supported by the leadership then they are likely to revolt.

Ultimately, the primary difference between Docker and a fork of Docker is the brand and the community.  If there companies paying the contributors have the will then it’s possible to move a whole community.  It’s not cheap, but it’s possible.

Developers vs Operators

One overlooked aspect of this discussion is the apparent lock that Docker enjoys on the container developer community.  The three Cs above really focus on the people with budgets (the operators) over the developers.  For a fork to succeed, there needs to be a non-Docker set of tooling that feeds the platform pipeline with portable application packages.

In Conclusion…

The world continues to get more and more heterogeneous.  We already had multiple container runtimes before Docker and the idea of a new one really is not that crazy right now.  We’ve already got an explosion of container orchestration and this is a reflection of that.

My advice?  Worry less about the container format for now and focus on automation and abstractions.

 

Hybrid DevOps: Union of Configuration, Orchestration and Composability

Steven Spector and I talked about “Hybrid DevOps” as a concept.  Our discussion led to a ‘there’s a picture for that!’ moment that often helped clarify the concept.  We believe that this concept, like Rugged DevOps, is additive to existing DevOps thinking and culture.  It’s about expanding our thinking to include orchestration and composability.

Hybrid DevOps 3 components (1)Here’s our write-up: Hybrid DevOps: Union of Configuration, Orchestration and Composability

We need DevOps without Borders! Is that “Hybrid DevOps?”

The RackN team has been working on making DevOps more portable for over five years.  Portable between vendors, sites, tools and operating systems means that our automation needs be to hybrid in multiple dimensions by design.

Why drive for hybrid?  It’s about giving users control.

launch!I believe that application should drive the infrastructure, not the reverse.  I’ve heard may times that the “infrastructure should be invisible to the user.”  Unfortunately, lack of abstraction and composibility make it difficult to code across platforms.  I like the term “fidelity gap” to describe the cost of these differences.

What keeps DevOps from going hybrid?  Shortcuts related to platform entangled configuration management.

Everyone wants to get stuff done quickly; however, we make the same hard-coded ops choices over and over again.  Big bang configuration automation that embeds sequence assumptions into the script is not just technical debt, it’s fragile and difficult to upgrade or maintain.  The problem is not configuration management (that’s a critical component!), it’s the lack of system level tooling that forces us to overload the configuration tools.

What is system level tooling?  It’s integrating automation that expands beyond configuration into managing sequence (aka orchestration), service orientation, script modularity (aka composibility) and multi-platform abstraction (aka hybrid).

My ops automation experience says that these four factors must be solved together because they are interconnected.

What would a platform that embraced all these ideas look like?  Here is what we’ve been working towards with Digital Rebar at RackN:

Mono-Infrastructure IT “Hybrid DevOps”
Locked into a single platform Portable between sites and infrastructures with layered ops abstractions.
Limited interop between tools Adaptive to mix and match best-for-job tools.  Use the right scripting for the job at hand and never force migrate working automation.
Ad hoc security based on site specifics Secure using repeatable automated processes.  We fail at security when things get too complex change and adapt.
Difficult to reuse ops tools Composable Modules enable Ops Pipelines.  We have to be able to interchange parts of our deployments for collaboration and upgrades.
Fragile Configuration Management Service Oriented simplifies API integration.  The number of APIs and services is increasing.  Configuration management is not sufficient.
 Big bang: configure then deploy scripting Orchestrated action is critical because sequence matters.  Building a cluster requires sequential (often iterative) operations between nodes in the system.  We cannot build robust deployments without ongoing control over order of operations.

Should we call this “Hybrid Devops?”  That sounds so buzz-wordy!

I’ve come to believe that Hybrid DevOps is the right name.  More technical descriptions like “composable ops” or “service oriented devops” or “cross-platform orchestration” just don’t capture the real value.  All these names fail to capture the portability and multi-system flavor that drives the need for user control of hybrid in multiple dimensions.

Simply put, we need devops without borders!

What do you think?  Do you have a better term?

Ironic + Crowbar: United in Vision, Complementary in Approach

This post is co-authored by Devanda van der Veen, OpenStack Ironic PTL, and Rob Hirschfeld, OpenCrowbar Founder.  We discuss how Ironic and Crowbar work together today and into the future.

Normalizing the APIs for hardware configuration is a noble and long-term goal.  While the end result, a configured server, is very easy to describe; the differences between vendors’ hardware configuration tools are substantial.  These differences make it impossible challenging to create repeatable operations automation (DevOps) on heterogeneous infrastructure.

Illustration to show potential changes in provisioning control flow over time.

Illustration to show potential changes in provisioning control flow over time.

The OpenStack Ironic project is a multi-vendor community solution to this problem at the server level.  By providing a common API for server provisioning, Ironic encourages vendors to write drivers for their individual tooling such as iDRAC for Dell or iLO for HP.

Ironic abstracts configuration and expects to be driven by an orchestration system that makes the decisions of how to configure each server. That type of orchestration is the heart of Crowbar physical ops magic [side node: 5 ways that physical ops is different from cloud]

The OpenCrowbar project created extensible orchestration to solve this problem at the system level.  By decomposing system configuration into isolated functional actions, Crowbar can coordinate disparate configuration actions for servers, switches and between systems.

Today, the Provisioner component of Crowbar performs similar functions as Ironic for operating system installation and image lay down.  Since configuration activity is tightly coupled with other Crowbar configuration, discovery and networking setup, it is difficult to isolate in the current code base.  As Ironic progresses, it should be possible to shift these activities from the Provisioner to Ironic and take advantage of the community-based configuration drivers.

The immediate synergy between Crowbar and Ironic comes from accepting two modes of operation for OpenStack: bootstrapping infrastructure and multi-tenant server allocation.

Crowbar was designed as an operational platform that seeds an OpenStack ready environment.  Once that environment is configured, OpenStack can take over ownership of the resources and allow Ironic to manage and deliver “hypervisor-free” servers for each tenant.  In that way, we can accelerate the adoption of OpenStack for self-service metal.

Physical operations is messy and challenging, but we’re committed to working together to make it suck less.  Operators of the world unite!