Robotic Process Automation (RPA) is a buzzword in the automation industry that has gained lots of traction across enterprises. This software captures and interprets existing apps to automate IT processes across global organizations. It systematizes rules-based tasks to detect tasks and problems in a particular process. Many organizations see RPA as an affordable alternative to DevOps and agile investments in the world of digital transformation.
Different research reports predict tremendous growth for this technology in the coming years. But the success of RPA depends upon the factors of efficiency, quality, infrastructure, human judgment, readiness to change, and performance standards. Read the content and find out more about RPA potential in terms of cost controls, RPA fitting in an automation space, and applying the same for DevOps automation.
RPA Potential: Cost Control
A global report on the robotic process automation market published by Fortune Business Insights predicts that the global RPA market size will reach USD 6.10 billion by 2027 at an impressive CAGR of 24.9% between 2020 and 2027. This data entices most enterprises to adopt RPA to cut costs, eradicate manual errors, and free up software and app developers to engage in more brain-intensive work.
“RPA has revolutionized how organizations run their back-office work to automate business tasks that are often mundane,” says Sachin Garg, associate director of electronics and semiconductors at MarketsandMarkets. He adds, “The biggest benefits of deploying RPA are seen in process centers that have large volumes of repetitive processes, such as data entry and migration, invoice processing, loan processing, and claims processing.”
All RPA products mark the business and render an automated platform to help workforces set repetitive, manually rigorous work on rails effortlessly. RPA simply mimics the sequence of actions that a user takes. “RPA has a well-defined sweet spot: automating specific tasks for organizations stuck with legacy software. These systems often do not offer an API,” says Jakob Freund, co-founder and CEO of workflow automation tool vendor Camunda.
Where Robotic Process Automation Fits Your Automation Gamut
Many big enterprises consider RPA an alternative to IT and DevOps because they believe IT is not doing enough. According to Ollie O’Donoghue, research VP, IT Services at HFS Research, non-IT departments have business transformation targets and ambitions. They often feel frustrated because IT focuses mainly on keeping the lights on. When technologies like RPA reach business audiences, they can see positive results almost immediately. As a result, they often prefer implementing RPA themselves rather than having lengthy discussions with IT. They may avoid discussions about proper implementation or how RPA fits within their technology roadmap.
However, without a structured RPA implementation process, organizations risk running isolated automation efforts that may lack long-term scalability and integration with core IT systems. RPA is a great automation tool for solving deterministic problems. It simply fits end-to-end automation needs across different departments like back office, HR, and finance. From ticketing systems to custom apps to CRMs, there are lots of systems where RPA tools can work well and present an opportunity to advance efficiency by automating many DevOps tasks.
- Access management and surveillance
- Analysis of service tickets and identifying bottlenecks
- Detection of latency on servers and addition of resources
- Digital privacy and protection routines
- Mechanization of reporting and compliance tasks
- Workflow automation of tickets for access authorization
Applying RPA for DevOps Automation
When it comes to applying RPA for automating DevOps, it is essential to use automation in a meaningful way. DevOps teams need to focus on human-in-the-loop automation. The team also needs to use incremental automation rather than end-to-end automation from the start. It will help the team strengthen and build trust in automation. First, identify predictable steps that you can automate. Then, move ahead to more complex workflows.
Simply automate parts of the processes while integrating human checkpoints to ensure sustainability in high-stress environments. Define the processes up for automation to the keystroke level regarding architecture and logic creation standards.
According to Mark Davison, global research partner at Information Services Group (ISG), “If a process requires complex or fuzzy logic, it is best to wait to introduce RPA until after the company gains confidence with the technology with other less complex processes.”
Vishal Awasthi, CTO for Dolphin Enterprise Solutions Corp, thinks RPA is not magic. “A broken process, whether done by a person or RPA, is still broken. Organizations need to develop a process roadmap to figure out areas that need to be streamlined, and then leverage RPA wherever it makes the most sense.” On getting the best out of RPAs and removing the dark side of robotic process automation (RPA).
“For the classic, rules-based RPAs, if the rules get too complex, or get set up by business analysts not familiar with all the nuances of the processes, RPA can produce incorrect results and put companies at risk. This is a classic case where you gain efficiency at the cost of effectiveness,” adds Awasthi
Conclusion
Although RPA targets simplistic, repeatable tasks, end-to-end automation may be fallible because many DevOps processes are dynamic and unpredictable. There should be agile processes to solve the complexity of modern technology stacks and infrastructure. In addition, human-in-the-loop automation can be the future of DevOps automation. A competent business process automation company can help enterprises get immense benefits from process automation with its business process automation services in real-time.
Technology experts can learn from the RPA movement and apply insights to eliminate the risks of modern production operations. There are many unique problems involved in DevOps process automation that you can eliminate with proper human judgment and automate repetitive manual steps.
Frequently Asked Questions
RPA can automate repetitive, rule-based tasks across applications, helping DevOps teams reduce manual effort, improve consistency, and accelerate routine workflows.
RPA can support repetitive activities such as data transfers, report generation, notifications, system updates, and other rule-based tasks that span multiple applications.
Combining RPA with DevOps practices can help organizations improve productivity, reduce human errors, accelerate repetitive processes, and free teams to focus on higher-value engineering work.
Organizations should consider process suitability, bot maintenance, integration complexity, security, scalability, and exception handling. RPA works best with structured, repetitive, rule-based processes.
An RPA development partner can identify suitable automation opportunities, design and develop bots, integrate existing systems, establish monitoring, and scale automation across workflows. This helps businesses implement RPA strategically rather than automating processes that require frequent human judgment.
