AIOps is an application of AI-based technologies such as NLP and ML models for automating, improving, and optimizing IT service management and operational processes. AIOps operates with minimal manual intervention based on centralizing disparate manual IT operations tools into a single smart, automated ITOps platform. This allows IT teams to quickly identify slowdowns and outages, with end-to-end visibility and contextual insight.
AIOps analyzes ITOps data, distinguishing meaningful signals from irrelevant noise by separating abnormal events and recognizing data patterns. At a basic level, AIOps tools can automatically deliver alerts and suggested solutions to the appropriate IT teams and assemble response teams based on the issue and its resolution.
How do AIOps secure the modern IT infrastructure of organizations?
The main advantage of AIOps is that it allows IT operations teams to quickly identify, address, and resolve slowdowns and outages more efficiently than relying on manual analysis of alerts from multiple tools and systems.
- Improved collaboration and visibility: Integrations in AIOps monitoring tools enhance collaboration among DevOps, ITOps, governance, and security teams. Enhanced visibility, communication, and transparency allow these teams to make better decisions and address issues more quickly.
- Reduced operational cost: The automatic identification of operational issues and the use of reprogrammed response scripts help lower operational costs and enable more accurate resource allocation. Additionally, this approach minimizes the workload on IT staff, allowing them to focus on more innovative and complex tasks, which enhances the overall employee experience.
- Prior detection of issues: AIOps relies on in-built predictive analytics to continually identify priority alerts. With this technology, IT teams resolve or predict issues even before they occur and avoid unplanned downtime, disruptions, and service outages.
Incorporating AIOps with DevOps for Promising Future
The combination of AIOPs and DevOps is anticipated to transform the production process. DevOps aims at accelerating the timescales of development and deployment in software by providing opportunities for effective communication and collaboration between the development and operations teams. AIOps is predicted to enter an entirely new future for the DevOps workflow with automated monitoring, proactive issue detection, and predictive analytics.
AIOps enables teams to automatically adapt to changes in the operations of the production facility, while DevOps teams can ease the transition from development to production. DevOps teams enhance workflow and make better decisions by using machine learning to identify anomalies, forecast performance issues, detect the root cause, and much more.
Secured cloud infrastructure with AIOPs
Most organizations prefer step-by-step cloud adoption. As a result, this creates a hybrid multi-cloud environment, where many integrated parts are powered by APIs and microservices. This introduces hundreds of interdependencies that shift too quickly to keep track of documents. AIOps reduce operational risks from cloud migration and hybrid cloud strategies by implementing transparency into these complicated interdependencies.
Cloud computing along with AIOPs boosts the productivity and efficiency of organizations. It further minimizes the number of operations, increases performance with actionable insights, and gives analyses of trends while automating tasks. More importantly, AIOPs also provide efficient security measures for cloud infrastructure. It helps protect sensitive data and minimize possible risks with real-time threat identification abilities.
How are recent strategic alliances highlighting the potential of AIOPs?
Leading players in the AIOPs market are investing in R&D to discover new products. These products help them strengthen their position in the competitive industry. They also streamline complicated IT operations with high precision and safety. Here are some latest strategic moves of frontrunners:
- Datadog released advanced IT management in May 2024 to advance its AIOPs’s abilities. It enriches, correlates, and combines all important signals and alerts from third parties and Datadog monitoring tools. The process saves the time required for approaching multiple alerts.
- In August 2023, the all-in-one observability platform built for all engineers, New Relic, announced its enhancements in AIOps capabilities in the form of recommended alerts. This new capability allows quick detection and resolution of alert coverage gaps through AI, which detects unusual behavior, identifies where aspects of the tech stack aren’t monitored, and provides the recommendation of new alerts to the engineers.
- Fortinet launched advanced AIOps abilities among its SD-WAN, Wired/Wireless, and 5G/LTE gateway portfolio in September 2022. When merged with the advanced AIOps enhancements to Fortinet’s Wired/Wireless LAN and Secure SD-WAN range, network operations teams gain access to even more dynamic insights and event correlation across the entire network. This makes FortiAIOps the most comprehensive AIOps network management platform in the industry.
Winding up
AIOps is transforming the IT infrastructure of multiple organizations by making it much more efficient and cost-effective with better collaboration teams. However, its association with DevOps and cloud strategies allows it to forecast problems earlier and apply real-time security measures, ensuring that it empowers the organization to respond to intricate environments.
Author Bio
Gayatri Mohite is an emerging author who loves to explore new things. An addiction to reading motivates her to write. With a background in biotechnology and a passion for clear, concise writing, she has written multiple articles and editorials that inform and engage readers across various industries. A fresher who is constantly upgrading her skills has embarked on a new journey to touch up her expertise even more.
Email: gayatri.mohite@alliedanalytics.com
