In today’s blog, we’re taking a close look at BigPanda’s latest report, Enhancing Observability and Monitoring with AIOps. This report addresses pressing challenges in IT operations and offers fresh perspectives on maximising the value of monitoring and observability tools.
The report sheds light on the realities of managing complex IT environments and explores how AIOps can cut through the noise, unify fragmented tools, and deliver actionable insights. Whether you’re grappling with tool sprawl, alert fatigue, or sluggish incident resolution, there’s plenty in this report to consider. Let’s dive into the key findings and what they mean for IT leaders looking to modernise their approach.
Making Sense of Complexity
One of the standout observations in BigPanda’s report is the sheer number of monitoring and observability tools organisations rely on—on average, more than 20 per customer. These tools often operate in isolation, each with its own dashboard and workflows, which makes it difficult for IT teams to get a clear, unified view of their systems. Instead of creating clarity, this “tool sprawl” results in fragmented data and siloed operations.
The challenge here isn’t just the volume of tools but the inefficiency they introduce. Each tool may provide valuable insights, but when used in isolation, they don’t connect the dots. IT teams end up managing endless alerts and juggling complex workflows, wasting valuable time on manual escalations and investigations. This not only slows down incident resolution but also makes it harder to extract meaningful insights from the data.
BigPanda’s report underscores that while observability tools are essential, they’re not the full solution. The key lies in integrating and enhancing these tools to deliver actionable insights, and that’s where AIOps steps in.
Actionable alerts allow IHG to reach 99.8% availability of internal systems.
The Promise of AIOps: Turning Data into Action
BigPanda positions AIOps as the glue that holds the observability ecosystem together. By using artificial intelligence and machine learning, AIOps takes the raw data from various monitoring tools and turns it into something actionable. One of its most immediate benefits is reducing alert noise. Instead of drowning in a sea of notifications, IT teams can focus on what really matters, thanks to intelligent prioritisation and enrichment.
But it’s not just about filtering alerts. AIOps adds critical context by combining monitoring data with information from sources like configuration management databases (CMDBs) or topology maps. This makes it much easier for teams to pinpoint root causes and resolve incidents faster. Predictive analytics also play a big role, helping organisations identify and address potential issues before they escalate into major problems.
The report highlights how BigPanda’s platform consolidates data into a unified view, sometimes referred to as a “single pane of glass.” This capability is transformative for teams managing multiple tools, providing a clear picture of what’s happening across the IT environment and allowing them to measure tool performance, identify gaps, and optimise processes.
Moving Beyond Reactive IT
One of the most compelling insights from the report is the shift from reactive to proactive IT operations. With traditional observability tools, teams often find themselves reacting to issues as they arise. AIOps changes this dynamic by enabling organisations to anticipate problems and take preventative action. By analysing patterns in historical data and using machine learning to detect anomalies, AIOps provides early warnings for potential disruptions.
The report features several success stories, including Autodesk and Lucid Motors. Autodesk, for example, reduced its incident volume by 69% after adopting BigPanda’s platform, while Lucid Motors credited AIOps with giving them better visibility and control over their IT environment. These real-world examples show how AIOps isn’t just a theoretical improvement—it delivers tangible results.
This proactive approach doesn’t just improve incident resolution times; it fundamentally changes the way IT teams work. By automating repetitive tasks and eliminating unnecessary escalations, AIOps frees up valuable resources, allowing teams to focus on innovation and strategic initiatives.
“Don’t wait to start your AIOps journey once you are overwhelmed with alerts. Start early to get a single pane of glass to understand which monitoring tools you need.”
Sanjay Chandra – Vice President of Information Technology, Lucid Motors
Integrating Tools for Maximum Impact
A key takeaway from BigPanda’s report is the importance of integration. Observability tools on their own are limited by the silos they create. AIOps bridges these gaps, turning disparate systems into a cohesive network of tools that work together. BigPanda’s Unified Analytics feature, for instance, provides dashboards that help organisations evaluate everything from alert quality to ticket automation. These insights allow teams to measure ROI, identify areas for improvement, and ensure their observability stack is delivering maximum value.
The report also addresses tool rationalisation—streamlining the number of tools in use while ensuring no critical functionality is lost. By bringing everything into one ecosystem, AIOps simplifies IT operations without sacrificing depth or detail.
Real-World Success: IHG’s Journey with AIOps
A notable example of AIOps in action is InterContinental Hotels Group (IHG). Facing rapid growth and increased operational complexities across over 6,000 hotels, IHG struggled with siloed monitoring solutions that led to low availability and extended outages. By implementing BigPanda’s AIOps platform, IHG consolidated events from various monitoring tools into a single, centralised view. This integration enabled their Unified Command Center to detect incidents earlier and resolve them more efficiently, achieving a service availability of 99.8%—the highest on record for their internal systems. (Link to case study)
Wrapping Up
BigPanda’s report provides a clear roadmap for organisations looking to improve their observability and monitoring practices. The combination of traditional tools with AIOps capabilities doesn’t just make IT operations more efficient—it transforms how teams interact with data and resolve issues.
However, technology alone isn’t the solution. The success of AIOps depends on thoughtful implementation and alignment with business goals. It’s not just about adding another layer to your tech stack—it’s about creating a system that delivers meaningful outcomes for your organisation.
If you’ve been struggling with tool sprawl, alert fatigue, or inefficiencies in incident management, now is the time to consider how AIOps could fit into your strategy. BigPanda’s report shows that by integrating these capabilities early, organisations can achieve more resilient, agile, and proactive IT operations.
If you’re considering AIOps for your organisation, it’s a good idea to start by evaluating your current AIOPs maturity. Taking a gradual approach can help you understand the benefits while minimising disruptions. Feel free to contact me if you have questions or need guidance on starting your journey!
