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Enhance Observability and Monitoring Tools with Agentic AI
Maximize the benefits of core tools using agentic ITOps to improve IT efficiency and system performance.
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Enterprises invest billions annually into observability, but continue to struggle with visibility
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Agentic ITOps overcomes the gaps in observability and monitoring tools
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Agentic ITOps increases the actionability of alerts and improves the value of observability tools
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Improve visibility into IT operations and rationalize observability and monitoring tools
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Get more from observability and monitoring tools
Enterprises invest billions annually into observability, but continue to struggle with visibility
Effective monitoring and observability practices are critical for modern enterprises. Daily operations, digital transformation, and an ever-evolving tech stack require your teams to monitor increasingly complex systems. As IT teams are required to monitor increasingly complex and fragmented IT infrastructures, the need for instrumentation to monitor those systems is growing. Observability owners must achieve end-to-end visibility across every layer of their applications, services, and infrastructure. The expectation is that these teams can understand performance in real time and confidently report that they monitored critical systems if a significant incident occurs. However, the Monitoring and Observability Tool Effectiveness for IT Event Management found that despite investing billions annually into observability and monitoring tools, enterprises are still struggling to identify issues before they cause outages. The average BigPanda customer uses more than 20 observability and monitoring tools. Still, the sheer volume of alerts these tools produce, combined with siloed data and workflows, makes it extremely difficult to manually identify vital, actionable alerts. In fact, more than half of the organizations included in the study had an alert actionability rate of less than 20%.
There’s a disconnect between the belief that comprehensive observability coverage (high event volume) equates to more actionable alerts and proactive incident response..
Common challenges that enterprises face when establishing an effective observability and monitoring practice include:
The gap between observability coverage and actionability
Just because your enterprise has a lot of coverage, it doesn’t mean you will have better ITOps. Enterprises are drowning in data, creating an average of 9.6 million events annually. However, our research revealed a troubling signal-to-noise problem: just 18% of incidents were actionable.
End users, not tools, still catch most issues
End users still report 65% of incidents, often before observability and monitoring tools detect anything is wrong. This creates a gap between Network Operations Center (NOC) teams that review observability alerts and the actual impact of incidents on end users.
Manual work
Observability tools require manual effort, escalations to specialists, and complicated workflows to translate their output into actions. One Managed Service Provider reported that before adopting BigPanda, they had to manually correlate their alerts to ServiceNow tickets. This process was incredibly frustrating when alerts were updated with new context, requiring operators to go back and manually update the ServiceNow ticket.
Tool sprawl
The average BigPanda customer uses more than 20 observability and monitoring tools. Each tool has a separate console, workflow, and data, making it difficult for IT teams to gain a unified view of the entire infrastructure.
Observability and monitoring tools provide vital information about the health and performance of individual applications, services, or tools. Effective observability and monitoring strategies require data collection from multiple sources. And although having more tools creates more complexity, variety is necessary. 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. Advances in agentic IT operations can bring those disparate tools together and turn the information they generate into actionable steps. Agentic ITOps transforms manual and reactive ITSM processes into intelligent, autonomous systems. These systems can adapt to changing environments, learn from experience, and collaborate with humans to respond to incidents at machine speed. With intelligent, automated workflows, enterprises can enhance the value of their observability investments, gain faster mean time to resolution (MTTR), lower operational overhead, and increase team productivity.
BigPanda analyzed the top integrations our customers use. Each solution provides distinct value when combined with contextual data and event enrichment.
Top observability and monitoring tools used by BigPanda customers
Amazon CloudWatch, New Relic, and Prometheus are among the 15 most common observability and monitoring tools used by BigPanda customers.
Agentic ITOps overcomes the gaps in observability and monitoring tools
“By leveraging agentic ITOps 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.”
IT teams are the engine that powers every enterprise. Yet they must constantly battle to ensure the availability and reliability of applications and services across fragmented, hybrid-cloud infrastructures. And when incidents occur, no single observability and monitoring tool can provide the full context of what is happening.
Observability teams often grapple with over 20 monitoring tools, struggling to gain visibility into services and applications across the IT stack. At the same time, operations and incident response teams face a relentless deluge of noisy, unactionable alerts and contextless tickets that require significant manual effort to understand.
Agentic ITOps fills the gaps of observability and monitoring tools. Agentic AI can centralize all observability and monitoring data into a single platform and enrich alerts with vital context to fill in the missing pieces, giving responders a full view of what’s happening.
Agentic IT operations from BigPanda use AI to detect, respond to, and prevent IT incidents at machine speed.
When paired with observability tools, Agentic ITOps provides complementary capabilities to support observability, process large data volumes, identify irregularities, and automate responses. As a result, you get a better perspective on system performance and potential issues, helping maximize uptime, improve alert actionability, and minimize downstream incident impact.
“By leveraging agentic ITOps 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.”
By applying agentic ITOps to their observability and monitoring tools, enterprises can:
Ingest, normalize, and contextualize ITOps data
BigPanda ingests and normalizes data from observability tools into a cohesive, unified view, which reduces noise. Agentic ITOps platforms can enrich incidents with additional data from a variety of sources, such as CMDB, change, and topology, providing more context for end users.
Eliminate blind spots and drive smarter insights and actions
Observability and monitoring tools, while essential, provide only one view of what’s happening in your environment. Designed to enable an AI-first data strategy, The BigPanda IT Knowledge Graph continuously ingests and connects data from across fragmented systems and silos to build an intelligent model of your IT environment. This allows enterprises to evolve from reactive IT operations to proactive, agentic AI-powered decisions.
Agentically automate L1 workflows to accelerate detection, triage, and resolution
Agentic triage uses AI agents to instantly gather and analyze relevant data from various sources, streamlining manual validation and triage tasks that bog down the incident response process for L1 teams.
By automatically gathering and summarizing relevant incident information from multiple data sources, agentic ITOps platforms can dramatically accelerate incident detection, triage, and resolution.
Accelerate root-cause analysis
Analyze complex relationships within an IT environment to accelerate root-cause investigation and shorten MTTR.
Prevent incidents
Agentic ITOps platforms can analyze observability, monitoring, and change data to identify patterns that lead to incidents and recommend preventive measures to reduce them in the future.
Consolidate observability and monitoring tools
Agentic ITOps provides a unified view and framework to understand the contribution and value of each observability tool. This includes how the tool affects the downstream alert pipeline, alert actionability, and overall noise reduction.
Agentic ITOps increases the actionability of alerts and improves the value of observability tools
“Adding context to enrich alert data leads to more effective prioritization, resulting in faster problem resolution and fewer service disruptions.”
Maximize uptime and reduce MTTR by generating more actionable alerts from your monitoring and observability workflows. This increase is why more than half of organizations deploy AI-powered ITOps to improve the actionability of alerts and reduce noise.
Our research found that more than half (51%) of organizations have an actionability rate of less than 20%, with the lowest actionability rates having the highest incident volumes. This is likely due to high alert noise, poor correlation or triage mechanisms, or a lack of automation in incident handling.
Alert fatigue is a serious problem, and ITOps teams often face an overwhelming volume of notifications, many of which are false positives or low-priority alerts. They have to spend significant time sifting through these alerts, which reduces team efficiency and slows response. In this noisy, chaotic environment, your teams can easily miss critical issues, leading to system failures or prolonged downtime.
Agentic ITOps platforms can significantly reduce alert noise. Most (82%) of the BigPanda customers included in the study achieved at least 97% noise reduction, while more than half reduced noise by 99.5–99.9%. This statistic shows the effectiveness of agentic AI-powered ITOps platforms for filtering, deduplicating, and correlating events.
Reducing alert noise ensures that your teams can focus on critical, actionable alerts. By filtering out non-essential alerts, your teams can identify critical issues faster and significantly reduce response time. Your organization benefits from reduced downtime, a more resilient IT infrastructure, and happier customers.
BigPanda also improves the value of observability and monitoring tools during triage. For L1 teams, BigPanda uses triage agents to gather data from additional sources outside observability and monitoring to provide more information to the L1 operator.
You can present this information in a couple of ways, either within BigPanda itself or in a client’s ITSM environment. Overall, this greatly increases the actionability of alerts from observability and monitoring tools and avoids unnecessary escalations.
“Adding context to enrich alert data leads to more effective prioritization, resulting in faster problem resolution and fewer service disruptions.”
Improve visibility into IT operations and rationalize observability and monitoring tools
“BigPanda Unified Analytics helps unify monitoring and observability data into a single pane of glass. The dashboards help us avoid surprises and illuminate ways we can optimize incident management workflows.”
Operators can use AI to analyze vast quantities of observability and monitoring data to detect unusual patterns and put focus on top-priority issues. BigPanda Unified Analytics consolidates these into a single view, providing end-to-end visibility of your IT environment.
BigPanda Unified Analytics provides visibility of your observability architecture in a single pane of glass.
“BigPanda Unified Analytics helps unify monitoring and observability data into a single pane of glass. The dashboards help us avoid surprises and illuminate ways we can optimize incident management workflows.”
BigPanda unifies fragmented observability and monitoring data so you can assess tool performance using parameters such as alert quality, noise reduction, and others. You can compare tool productivity, identify gaps and overlapping coverage, and evaluate their relative value to the organization. BigPanda Unified Analytics includes multiple dashboards to improve actionability and demonstrate the value of your observability and monitoring stack.
Evaluate your tools using the BigPanda observability and monitoring tool rationalization framework.
Unified Analytics provides a comprehensive view of your observability stack, enabling you to objectively evaluate the utility and value of your tools. With the correct data, it’s easier to understand their downstream impact and identify optimization opportunities during a consolidation effort.
Get more from observability and monitoring tools
“With the help of BigPanda, we reduced incidents by 69% and significantly improved IT operational efficiency.”
Enhancing observability and monitoring tools with context and awareness through agentic ITOps is critical to long-term success. BigPanda can help maximize the value and impact of your investments. The Open Integration Hub allows IT teams to connect to virtually any monitoring tool, while the IT Knowledge Graph harnesses all of your siloed, hidden data to eliminate blind spots and drive smarter insights, actions, and automations.
While there is no cure-all to stop tool sprawl, BigPanda helps IT organizations deliver an unbiased view of each observability tool’s impact on the incident management process.
Agentic IT operations add value to observability tools by automatically filtering out unnecessary noise and highlighting critical, actionable alerts. The BigPanda agentic IT operations platform ingests alert data from observability and monitoring tools, normalizes it, and enriches it with operational, contextual, and topology data from available CMDBs. Our platform delivers accurate, up-to-date, real-time visibility into your applications, services, and infrastructure while reducing noise, correlating multi-source alerts, and enabling powerful workflow automations.
To learn more about the value agentic ITOps brings to observability and monitoring investments, please read our Monitoring and Observability Tool Effectiveness for IT Event Management report or schedule a demo to see BigPanda in action today.
“With the help of BigPanda, we reduced incidents by 69% and significantly improved IT operational efficiency.”
Report
Monitoring and Observability Tool Effectiveness for IT Event Management
Get insights and benchmarks on incident detection and noise reduction from 130 leading enterprise organizations.
