Productivity is the spirit of any organization. Since the advent of the assembly line, companies have been striving to ramp up production to a whole new level. Most Fortune 500 organizations have realized this dream by fusing development and operations teams into DevOps.
With the elimination of communication gaps, the DevOps approach has axed productivity time and efforts. There’s no longer any need to scram from pillar to post as DevOps axes communication gaps by automating and integrating the work of Dev and Ops teams.
With the waterfall methodology, the operations team would have to wait for the development team to deliver the entire package for testing and implementation. Upon their feedback, the dev team would further refine the product and send it back to ops teams. The result was months or even years between software releases.
By bringing them together with the agile process, DevOps helps develop and implement the software in phases. The refinements can always be doled out as updates to the end-users. This improves customer experience, accelerates development cycles, and boosts cohesiveness among teams.
Also Read: 6 Ways DevOps Promises ‘100% Customer Satisfaction’
Considering the increased appetite for cyber solutions, most companies are opting for DevOps as their go-to production model. The companies would drastically reduce the chances of getting outdated as efficiency is a given with this approach. However, with time comes change. And, in this digital age, DevOps needs to dole out solutions faster than ever. This is where cloud automation shoulders the load.
Cloud Automation: A DevOps Imperative
The inception of the cloud has ushered in many welcome changes. One of the USPs of the cloud is flexibility. The popular cloud tech out there features various models, enabling developers to build a solution from the ground up.
With licensing, operating software compatibility concerns taken care of, DevOps can build the software in iterations and have it tested in the ideal environs of the cloud.
Cloud takes a step further by sporting automation under its hood. With a burgeoning load, DevOps will need every resource support possible. Automation frees up the DevOps team from tasks that don’t always need manual upkeep. With a reduced burden, the team can focus on more valuable, high-impact tasks.
For instance, a software update that needs to take effect across servers can be automated. The cloud can initiate an update installation at a scheduled time with or without a planned outage across all servers. This swift process is cost-effective and high on customer satisfaction.
However, sometimes updates are flawed. This defeats the purpose of the update and leaves a dissatisfying experience for all. However, the dissatisfied client can be automated to rollback if the update is undesired or dissatisfactory.
To mitigate the demand, clients can exploit the autoscale feature, which scales the resources automatically. All this is without the DevOps writing another line of code. However, cloud automation is a smooth ride only when coordination, resource identification, and implementation is done right.
Without further ado, let’s have a look at how cloud automation is applied in DevOps seamlessly.
1) Coordination
The first checkbox to tick off is whether you have migrated to the cloud already. Cloud adoption is a different aspect by itself. After migrating to the cloud from on-premises, consult both development and operational teams as to what all processes can be automated. Coordination between both teams is vital for successful cloud automation.
The teams should be involved from the onset of the automation. By pooling their collective resources, DevOps will mold the automation, further refined by machine learning and AI ingrained in the cloud. Cloud analytics help DevOps analyze how automation is affecting their business. These analyses will provide constructive inputs for improvement.
2) Resource Identification
Although cloud automation is about mechanizing the solutions, it is the DevOps teams that decide how successful the automation is. It is imperative for the organization to identify the right people to manage this. With prior intimation, DevOps can help build a proper cloud infrastructure to support the automation. By roping in the right people, the organization will lower undesired risks and incidents which hinder automation.
3) Implementation
The ascent to automation is a meticulous process. It is better to start slow with the objective set-in stone. Though most organizations have already harnessed cloud automation, the DevOps team should proceed at an overall pace that the company is comfortable with.
Although every challenge is an opportunity, it is better not to test one’s luck on automation.
Veritis, the cloud solutions provider for various Fortune 500 companies and others, will guide you to the optimal automation solution. To cap it off, to stay competitive, one has to adapt to the changing times. Leverage every practical utility to aid that adaptation. After all, it is now the survival of the smartest.
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