Operations | Monitoring | ITSM | DevOps | Cloud

BigPanda

What are the benefits of generative AI for IT?

Can generative AI help improve IT efficiency? Imagine you’re part of an IT team constantly juggling a growing number of support tickets, system issues, and daily maintenance tasks. It can feel like you’re always playing catch-up. It’s a common challenge: Repetitive tasks and troubleshooting waste valuable time, leaving little room for innovation or strategic improvements. Generative AI (GenAI) for IT provides a solution.

How data integration improves incident management

During critical incidents, teams often scramble to pull data from multiple sources, wasting precious time and delaying issue resolution. Manual processes hamper response and create blind spots that can lead to costly oversights. Data integration addresses this head-on. Data integration collects incident management information from various sources, such as monitoring tools, logs, and user reports, into a unified system.

How AIOps improves response times in the NOC

The sheer volume of data and the need for fast, accurate troubleshooting can overwhelm even the most experienced network operations center (NOC) teams. Stress levels increase when response times lag — as do costs, customer frustration, and risks to revenue. AIOps can help. Deploy AIOps to automate data analysis and correlate alerts in real time, filter alerts to reduce noise, and pinpoint incident root cause faster than traditional methods.

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!

New BigPanda features accelerate IT incident response

ITOps teams are inundated with a significant volume of alerts each day. Sifting through these alerts to discern which ones are harmless and which could lead to major incidents is a time-consuming and tedious task. This process often involves hunting for information across disparate data sources, tools, and workflows. As a result, the investigation can slow down incident response times, negatively affecting service reliability and customer satisfaction.

Operationalizing AI for IT operations

Advances in artificial intelligence are rapidly transforming the IT operations landscape. According to Enterprise Strategy Group, 85% of organizations use or plan to deploy AI across many functional areas, including IT operations. Among its many benefits, AI can help ITOps teams: AI has immense potential to transform how IT operations, service management, and infrastructure teams function. Adoption is the first step toward creating organizational change.

How to normalize data for incident management

Handling IT alert data can feel like you’re drowning in information. The average BigPanda customer uses more than 20 observability and monitoring tools. Between system logs and user reports, an overwhelming amount of information is coming from all directions. That’s why normalizing data is such a critical part of IT operations. Data normalization in IT incident management involves putting data from various tools into a standard format.

Incident response plans: Benefits and best practices

The primary objective of an IT incident response plan is to clarify roles and responsibilities, communication protocols, escalation scenarios, and technical steps to minimize further damage and safeguard business operations. The plan formally defines guidelines, procedures, and activities for identifying, evaluating, containing, resolving, and preventing IT incidents. Whether they cause intermittent errors or global service crashes, IT incidents can severely disrupt service quality and cause outages.

Five core incident response phases for ITOps

Effective IT event management is about more than restoring services. Managing and mitigating threats involves a comprehensive approach with five incident response phases: It’s crucial to take a structured approach to addressing disruptive events. Incident response involves multiple phases to minimize the impact and prevent service outages. An “incident” is any event that disrupts normal operations or threatens your information systems.

What is a runbook for IT operations?

A runbook is a structured document detailing standardized procedures for completing routine IT operations processes. Runbooks are comprehensive guides that outline the steps and dependencies required to manage infrastructure, applications, and services within your IT operations. Runbooks bring order and organization to ITOps. These guides offer simple instructions for your team to handle challenges confidently and efficiently.