Productivity is the spirit of any organization. Since the advent of the assembly line, companies have been striving to ramp up production to a new level. Most Fortune 500 organizations have realized this dream by fusing development and operations teams into DevOps.
The DevOps approach has eliminated communication gaps, reducing productivity time and effort. There’s no longer any need to scram from pillar to post, as DevOps eliminates communication gaps by automating and integrating the work of Dev and Ops teams.
With the waterfall methodology, the operations team had to wait for the development team to deliver the entire package for testing and implementation. Based on their feedback, the dev team further refined the product and returned it to the ops teams. The result was months or even years between software releases.
DevOps helps develop and implement software in phases by combining them with the agile process. Refinements can always be doled out as updates to the end users. This improves customer experience, accelerates development cycles, and boosts team cohesiveness.
Considering the increased appetite for cyber solutions, most companies opt for DevOps as their go-to production model. Companies would drastically reduce the chances of becoming outdated as efficiency is a given with this approach. However, with time comes change. DevOps needs to dole out solutions faster than ever in this digital age. This is where cloud automation shoulders the load.
Cloud Automation: A DevOps Imperative
Since its inception, the cloud has brought many welcome changes. One of its USPs is flexibility. Popular cloud technology features various models, enabling developers to build a solution from scratch.
With licensing and operating software compatibility concerns taken care of, DevOps can build the software in iterations and test it in the ideal cloud environment.
Cloud takes a step further by sporting automation under its hood. With a burgeoning load, DevOps will need the support of every resource possible. Automation frees the DevOps team from tasks that don’t always need manual upkeep. The team can focus on more valuable, high-impact tasks with a reduced burden.
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 highly customer-satisfying.
However, sometimes updates are flawed, defeating their purpose and leaving everyone dissatisfied. If this happens, the dissatisfied client can be automated to roll back the update.
To mitigate the demand, clients can exploit the autoscale feature, which scales the resources automatically without the DevOps writing another line of code. However, cloud automation services ensure this process runs smoothly only when coordination, resource identification, and implementation are done correctly.
Without further ado, let’s look at how cloud automation is applied in DevOps seamlessly.
1) Coordination
The first checkbox to tick is whether you have migrated to the cloud already. Cloud adoption is a different aspect. After migrating to the cloud from on-premises, consult both development and operational teams to determine what processes can be automated. Coordination between both teams is vital for successful cloud automation.
The teams should be involved from the onset of automation. By pooling their collective resources, DevOps will mold the automation, which will be 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 input for improvement.
2) Resource Identification
Although cloud automation is about mechanizing solutions, the DevOps teams decide how booming the automation is. The organization must identify the right people to manage this. With prior intimation, DevOps can help build a proper cloud infrastructure to support the automation. The organization will reduce undesired risks and incidents that hinder automation by hiring the right people.
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. One has to adapt to changing times to cap it off and stay competitive. Leverage every practical utility to aid that adaptation. After all, it is now the survival of the smartest.
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