Moving or migrating to the cloud is the new mantra across all industries. Improvements in technologies across the board have led to the total cloud-based computing trend that will revolutionize how business is conducted altogether. This is specifically applicable to the IT industry and DevOps in particular.
Combining the DevOps methodologies like Agile development with cloud computing will accelerate the processes. Adding cloud automation to the mix will overcome present hurdles holding back smooth DevOps functioning and make it more efficient and productive.
Bringing the Pieces Together
Industrial automation or IT automation is implemented in many ways already in all IT industries. Artificial Intelligence and Machine Learning algorithms plug gaps in project management of software development very well. The same is being done with cloud automation as the processes are shifted to it with time. The consequences of it are many and of the beneficial kind.
Application Coordination
A large business contains a large number of applications run on many machines, and possibly across locations. Utilizing them to the fullest requires consistent and reliable coordination. The scale also increases complexity, needing automation to manage all the automated tasks and multiple systems configurations. This orchestration gives greater control over all that is used and reduces the complexity involved during production.
This particularly applies to cloud-based platforms, which are remote, as the teams utilizing them will be. Synchronized usage of applications results in error-free production.
Security and Safety
Security is vital to the entire production process. The ever-changing technological and regulatory landscape necessitates a standardized approach to it, which is possible with IT processes automation. Better risk management means smoother production too.
Cyber attacks can not only compromise vital data, but they can also add to costs due to recovery-related charges and fees. Production might also have to be stopped in the meantime, meaning further loss of income. Manual efforts tend to have loopholes that can be exploited, unlike automated processing.
Application Configuration
Every application used for production is its own thing; it contains its own data packages and system requirements. Manually installing these applications by carefully coordinating a myriad of files, settings, ports, users, etc. is tedious, time-consuming, and prone to error introduction. Only a robust automation solution can handle this task reliably.
The random frameworks offered by cloud services for the initial setup also mean that configuration will require effort that can be easily managed by automation.
Application Deployment
The deployment of the applications also happens in different ways, particularly in the traditional or with the more recent Continuous Deployment/Continuous Integration (CD/CI) methods. Cloud infrastructure automation provides the critical trouble-free deployment pipeline with successfully configured services from the start.
It provides immediate start-up of applications, certainty, and transparency that all users across teams and infrastructure types can operate easily. It can also be tuned to serve the specific needs of the application being deployed as well.
Cloud automation is crucial for the optimization of the IT infrastructure, especially when scaling is involved. It helps to integrate everything seamlessly, from networks to entire environments, along with specialized technologies and methodologies, which help make the whole DevOps production line agile.
