How AIOps and DevOps accelerate business growth

Along with DevOps, AIOps is fast gaining popularity in the tech world. AIOps and DevOps are critical elements for businesses that look to enrich their IT development and operations. With the pandemic striking unexpectedly, IT operations teams faced global challenges in monitoring and detecting incidents in a distributed environment while maintaining cybersecurity and compliance.

An era of hybrid IT makes traditional operation methodologies obsolete, where IT teams scaled alongside the infrastructure from standalone systems to vertical scaling via distributed computing. However, the advent of virtualization, with microservices and containerization, changed the whole scenario. We are in a world where an enterprise generates a bulk volume of data that’s too much for humans to monitor using legacy systems. Here is where AIOps and DevOps come into play.

What is AIOps?

AIOps (Artificial intelligence for IT operations) refers to using artificial intelligence (AI) and machine learning (ML) techniques to automate IT operations and processes. Moreover, enterprises use AIOps to analyze and process the vast amount of data generated from various sources like applications, including log data, performance metrics, and others, to detect and resolve issues before they impact end users.

How does AIOps function?

AIOps automate multifarious IT operations like monitoring, root cause analysis, event correlation, incident management, and anomaly detection. AIOps automates these tasks to free up the IT teams and let them focus on more strategic jobs of higher value. Various technologies like machine learning (ML), natural language processing (NLP), and predictive analysis are vital in implementing AIOps. Organizations often integrate AIOps with other tools or platforms like DevOps

Basics of DevOps

DevOps is a software development methodology focusing on collaboration, integration, and communication between the development and operations teams, representing the name. The goal of DevOps is to shrink the development cycle, reduce the time to deliver new features and increase the reliability and stability of the software. DevOps uses various tools and techniques to automate software building, testing, deploying, monitoring, and managing the software in production.

DevOps applies:

• Continuous integration and continuous delivery (CI/CD)
• Infrastructure as code (IaC)
• Automated testing and deployment
• Monitoring and logging
• Collaboration and communication between teams

DevOps enhances the efficiency and effectiveness of its software development process while delivering high-quality software more rapidly.

Why DevOps needs AIOps

Most organizations struggle to manage their staff, spending time on repetitive tasks you can otherwise automate. DevOps needs AIOps benefits to handle the evolving needs of operating teams, requiring streamlined monitoring, observability, and incident response.

Noise reduction

AIOps reduces the burden on DevOps of tirelessly sifting through noisy events data and checking all alerts, guessing it’s a major one. AIOPs’ observability directs DevOps to the most critical alerts.

Quick detection of issues

AIOps eliminates the requirement for manually tracking alerts in the IT environment to trace the effect of a happening or find the root cause by facilitating rapid incident detection by identifying deviations in behavior.

Root cause analysis

AIOps save precious time for the company and perform action steps for known incidents.

Incident response

AIOps leverage ML algorithms to learn consistently from historical incident data and act automatically.

Correlation of events

The correlation of events is what cuts down the noise. AIOps identifies time-series metrics and signs for a quicker resolution to enable event correlation.

How AIOps and DevOps complement each other?

AIOps and DevOps complement each other to help businesses achieve their goals swiftly and more efficiently.

Issue resolution gets faster

AIOps tools help organizations identify problems and automate the resolution process, saving IT teams time to solve the issues.

Enhanced software delivery

As AIOps helps to find issues and resolve them before they become a problem, it aids DevOps in rapid and enhanced software delivery.

Improved efficiency

The overall productivity of an enterprise increases while cutting down operational costs as AI streamlines the software development process.

Decision-making gets better

The core benefit of AI is it assists humans in making improved decisions. AIOps teams provide IT teams with insights into their procedures, aiding them to make decisions.

The powerful combo of AIoT and DevOps

Organizations are implementing DevOps practices with AIoT systems to improve their agility, scalability, and reliability. Here are some ways businesses use DevOps methodologies to develop, deploy, and scale AIoT systems rapidly.

Continuous integration and continuous delivery

DevOps teams use continuous integration and continuous delivery (CI/CD) pipelines to automate the software development lifecycle, letting them develop and release new features, updates, and patches more quickly.

Infrastructure as Code (IaC)

DevOps teams use Infrastructure as Code (IAC) to manage and automate infrastructure resources like databases, networks, and servers to ensure that the AIoT systems stay highly scalable, handling traffic and workload fluctuations.

Microservices

Microservices aid DevOps teams in breaking down large and complex AIoTb systems into more miniature, independent services, making it easier to scale and deploy them without affecting the rest of the system.

Monitoring and logging

Aided by monitoring and logging tools, DevOps teams collect and analyze AIoT data to help organizations detect and resolve systems.

Automated testing

Automated systems ensure that the AIoT systems are bug-free and free of errors and vulnerabilities. DevOps teams. DevOps teams run unit testing, integration testing, end-to-end testing, and others.

How AIOps and DevOps accelerate your business

AIOps and DevOps are two methodologies that complement each other and have the potential to accelerate business growth when the organization uses them efficiently. Here are a few ways how AIOps and DevOps accelerate business growth.

Greater efficiency

Integration of AI and automation into IT operations, AIOps trims down the manual effort, automating repetitive tasks and streamlining all workflows. The combination of AIOps and DevOps for business helps teams work with more efficiency, resulting in rapid product delivery, enhanced productivity, and greater customer satisfaction.

Rapid time-to-market

DevOps focuses on continuous integration and continuous delivery (CI/CD), enabling teams to deliver software updates frequently and more efficiently. The combination of AIOps and DevOps powers an organization to bring its products faster to the market.

Improved customer experience

Implementing AI and automation in business helps an organization improve its customer experience by providing faster response times, bringing personalization to its products or services, and implementing more efficient support.

Improved innovation & agility

The DevOps methodology encourages teams to adopt an agile development strategy, bringing flexibility and adaptability to the table. Along with AIOps, teams can innovate and experiment rapidly, fostering more business growth and higher revenue.

Enhanced risk management

The prima facie benefit of artificial intelligence is predicting risks and solving them before they become an issue. AIOps platforms power teams to manage risks proactively and bypass costly downtime. The combo of DevOps and AIOps ensures the stability and reliability of the IT infrastructure, powering business continuity and growth.

Conclusion

AIOps and DevOps are related methodologies that power businesses to accelerate their growth by enhancing speed, efficiency, and software development and operations quality. Want to know more about AIOps and DevOps for business? Let’s take your journey a step further.