Enhance observability with AI-powered IT operations
Your organization probably relies on a collection of observability tools to track specific elements of its IT stack. You’re not alone; a recent survey from Enterprise Strategy Group showed that most organizations have six or more observability solutions. Our research found that the average BigPanda customer uses 20 observability and monitoring data sources!
This complexity is necessary, as effective monitoring and observability practices are critical for modern enterprises. However, managing these specialized tools requires significant time and resources and complicates the ability to identify incidents. AI-powered IT operations offers a solution. By unifying data from these disparate tools and applying AI-powered analysis, your organization can benefit from actionable insights to accelerate incident management and improve efficiency.
Here are three ways to enhance the effectiveness of observability tools with AI-powered IT operations.
Improve visibility across your IT infrastructure
Observability and monitoring tools provide the raw data needed to reduce alert noise, prioritize alerts, develop full context, and automate incident resolution responses. However, these tools don’t resolve IT incidents on their own. AI-powered IT operations and incident management bridge the critical gap between alerts and action.
When paired with observability tools, AIOps provides complementary capabilities to help proactively resolve incidents and enhance your IT operations. Advanced AI can instantly analyze vast amounts of data to help operators focus on priority issues. These insights are then presented in a unified view, providing end-to-end visibility into your IT environment.
“By leveraging AIOps and BigPanda, we can ensure the highest level of availability by making sure that we are aware of issues in our environment and can resolve them quickly,” said Alvin Smith, vice president of global infrastructure and operations at IHG Hotels & Resorts.
Reduce alert noise to focus on priority issues
No single observability or monitoring tool provides comprehensive visibility across the entire technology stack. As a result, teams have to manually manage multiple dashboards to understand what’s happening in their environment. Disparate workflows, a mix of different tools, and siloed data generate a lot of alert noise. This noise and a lack of a centralized platform for event and incident management make it difficult to identify and focus on critical alerts.
Recent advances in AIOps, AI, and machine learning can bring those disparate tools together and turn the information they generate into actionable steps. AIOps uses pattern-matching to create a unified view of event data across all observability and monitoring sources. This enhances your operations by giving ITOps and incident management teams a unified platform to work in, sparing them from having switch back and forth between multiple monitoring systems.
Enhance response time across your IT operations
EMA recently surveyed more than 400 IT professionals to assess the costs and impacts of unplanned IT outages. The bad news is that unplanned outage costs have increased nearly 10% from 2022 to $14,056 per minute. For large enterprises, unplanned downtime can cost almost $1.5 million per hour.
The good news is that although outage costs have increased, the capabilities of AIOps solutions have improved. Machine learning and AI can transform massive volumes of noisy and fragmented data into actionable insights. AI-powered event and incident management can decrease the frequency and cost of outages by 30% and reduce their duration to under an hour.
Observability and monitoring are only part of modern event management. AIOps enhances IT operations by providing complementary capabilities to help teams proactively resolve incidents, improve ITOps, and reduce downtime.
Enhance your IT operations with AI-powered incident management
Enhancing your IT operations and incident management processes with context and awareness through AI capabilities is critical to long-term success.
AIOps can reduce IT noise, streamline incident management, and improve operational efficiency. Download our “Enhance the value of observability and monitoring tools” e-book to learn why 55% of organizations deploy an AIOps platform to maximize the value and impact of their observability investments.
Please visit us at Gartner IOCS 2024 to talk with our team about how BigPanda can help deliver reliable IT infrastructure.
