devops

AI-Driven DevOps With RPA tools

Nastel Technologies®
November 18, 2019

DevOps – Robotic process automation (RPA), which essentially is a software used to capture and interpret existing applications for the purpose of automating IT processes across the organization, has gained a lot of traction across enterprises over the past few years. RPA automates rules-based tasks; hence, it is important to identify the problem and all the tasks/steps involved in a process.

RPA tools are widely used for tasks that were previously performed by humans. These rule-based tasks can be automated to improve accuracy and efficiency and can be scaled without adding additional human capital. Once you are able to flowchart a process, you can create AI bots.

DevOps is a set of collaboration practices or processes between the software development team and operations (IT) team with the main goal of getting feedback from the customers and operations team to create a finite loop to improve the software by being able to build and deploy changes efficiently.

What can you robotize?

There are several use cases for DevOps and several benefits as repeatable human tasks can be automated with RPA tools. RPA tools are primarily technology-agnostic and can work with different systems (e.g., ticketing systems, CRMs and other custom applications) to provide an opportunity to improve efficiency by automating DevOps tasks.

Some examples include:

  • Analysis of service tickets and identifying bottlenecks.
  • Access management and surveillance.
  • Digital privacy and protection routines.
  • Detection of latency on servers and adding resources in peak times.
  • Automation of reporting and compliance tasks.
  • Workflow automation of few kind tickets for access authorization.

Use Cases

Here are a couple of examples from clients that our developers worked with in the past to help them automate with RPA.

One operations team used to manually work on a process that involved dropping scanned and handwritten PDFs. It would take 10-12 minutes and force them to update the process across various systems. A robot reduced execution time down two to three minutes with the ability to scale and improve efficiency.

Another example featured a process that involved the automation of multiple sequential tasks through Sharepoint, Remedy, IPM and internal web applications. The goal was to robotize a process that would monitor data load requests in SharePoint. If a request came, the bot would capture certain details and then send them to IPM, which would run the process and monitor it for completion. Finally, the bot would connect to another web application to generate reports and send an email.

How business leaders can get started using RPA tools

There are multiple RPA tools available in the marketplace today, including UIPath, Automation Anywhere, Blue Prism and Pega Platform. The best way to get into RPA is to start identifying use cases. Begin by identifying a process and learning about it. Experiment with identifying the problem, analyzing the process and implementing the flow.

I would definitely insist on trying multiple tools and experimenting with different scenarios before picking a tool that works for your solution. It takes days or sometimes weeks (not months) to start seeing some results.

This article originally appeared on forbes.com To read the full article and see the images, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT and many more.

 

The Nastel i2M Platform provides:

  • Secure self-service configuration management with auditing for governance & compliance
  • Message management for Application Development, Test, & Support
  • Real-time performance monitoring, alerting, and remediation
  • Business transaction tracking and IT message tracing
  • AIOps and APM
  • Automation for CI/CD DevOps
  • Analytics for root cause analysis & Management Information (MI)
  • Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics

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