To achieve the cutting-edge speed and agility assured by DevOps, you need to pick the right tools to empower automation across all phases of development, production, and operations. Undeniably, conferring to a 2013 study by Puppet Labs, more than 80% of high-performing software-development companies depend on automated tools for infrastructure management and deployment. That means you perhaps already have many of the tools used in DevOps environments, but are they the right ones for your organization’s needs?
Everyone with in Engineering Team should take an active role in collaborating with their Ops colleagues on strategy to use the tools they engage for software development and learns and inspire coupling to help admins realize how these tools can benefit both the individual and the overall achieving organizational goal. Equally, Ops can represent system management to other involved groups so they can take accountability for deployments, and deploy improved quality code that works right in production at the first time. QAs and testers should similarly be pulled into the initial stages of tool acceptance.
The success of DevOps rises from everyone within the team working with the same tools and processes, but as by nature we all tend to get a little inflexible about the changes we make, so regulating on a toolchain involves much more than simply announcing: “Here we have a new tool; and now we’re using it!”
Make a Strategic Roadmap:
The basic is to make a strategy about all essentials and goals of your company. Your business needs, engineering group, budget, legacy systems and workflows, all of them are exceptional to your company and so there’s no fit-to-all method for selecting the right DevOps tools for your goals. For example, if collaboration is your goal, the ideal tools can encourage your teams to do the right thing and can answer basic questions like: does QA have to wait for the provisioning of test environments? Does committed code get bogged down in testing? You have to decide how important testing is to your overall goals.
The Next step is to identify the process blockages that prevent your organization from developing code faster, and deploying it more regularly. You can use two main tracks for identifying process blockages.
The First, ask your teams where things get stuck down as code changes through your development and production pipeline. Tell them to rate the severity of each blockage, and identify the must have, critical ones.
Certainly the subjective approach isn’t enough. You also need to study system’s historic data and evidences and collect hard evidence of where your channel is working well, where it can be improved, and where it’s failing. The important one, you need to have baseline data that you can use to measure performance improvements moving forward and determine the parts of your channel that still need work. Combine the results of your subjective and data oriented research to rank your tool needs.
Emphasize on core categories of tools
You have to focus on the categories of the core tools available to make sure you implement and standardize on tools that are appropriate for your organization in each of tool categories, and consider how each tool you select fits in with the other tools. It’s also very important to make sure someone owns the problems of overall tool compatibility and is authorized to take decisions around tooling.
Most of the most successful DevOps organizations automate using tools in a few core categories, using a range of specific tools:
- Version control (GitHub, Mercurial, Perforce, Subversion, Team Foundation Server)
- Configuration management (Puppet, Ansible, CFEngine, Chef, Puppet, RANCID, SaltStack, and Ubuntu Juju.)
- Continuous integration (Atlassian Bamboo, Go, Jenkins, TeamCity, Travis CI, )
- Deployment (Capistrano, MCollective [part of Puppet Enterprise] )
- Monitoring (New Relic, Nagios, Splunk, AppDynamics, Loggly, Elastic)
As you build your toolchain, it’s important to understand how each tool increases the benefits of the others. The right tool chain for DevOps will automate IT services, provide real-time visibility into system and application performance, and give you a single source of truth. We have to be the big believers in managing infrastructure as code, and once your infrastructure code is in a version control system, you’re able to apply the best practices of agile development.
More important than an individual tool’s capabilities, though, is how closely the all match your organization’s strategic goals. That’s the right way to maximize your chances of achieving DevOps goodness. Of course, tools are only part of the DevOps equation. You also need to create a culture that gets dev and ops working together towards the same goals.