|
By BigPanda
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.
|
By BigPanda
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.
|
By Sam Osborn
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!
|
By Nathan Bao
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.
|
By Conor Castronovo
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.
|
By BigPanda
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.
|
By BigPanda
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.
|
By BigPanda
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.
|
By BigPanda
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.
|
By BigPanda
AIOps monitoring is a proactive process that uses AI to anticipate and identify IT infrastructure issues. Going beyond traditional troubleshooting, it enables your systems to detect anomalies in advance to prevent potential disruptions. AIOps uses advanced technology like AI and machine learning to simplify IT operations. AIOps monitoring collects and analyzes large data sets from diverse sources, such as logs, metrics, and events.
|
By BigPanda
Use a powerful AI/ML-driven alert correlation engine to group related alerts into meaningful, actionable incidents in real time. BigPanda provides default correlation patterns and gives you the option to tailor patterns to your organization. #aiops #itoperations #incidentmanagement.
|
By BigPanda
The New York Stock Exchange relies on AIOps to extract crucial incident insights, allowing IT teams to focus on innovation instead of manually investigating alert data. Chuck Adkins, CIO, shares how an AIOps tool helps the NYSE save time and resolve problems instead of searching through alerts to find them.
|
By BigPanda
BigPanda transforms millions of events into a small number of actionable alerts, no matter where they originate, on a first pane of glass. Watch this video to learn more.
|
By BigPanda
What will 2023 hold for ITOps? As we look back to 2022, its stellar growth for many companies and positive hiring trends, we hope that 2023 is even more successful for those involved in ITOps. In this episode, we take a deep dive into #predictions for 2023 and the future of #ITOps.#aiops #ITOps #podcast
|
By BigPanda
Even the best teams can encounter outages. Sometimes there's environmental anomalies in the data center or a component failure that leads to unplanned downtime. In this episode, we explore how IT teams can limit the impact of outages to business operations and resolve them when they arise.#itops #aiops #podcast
|
By BigPanda
BigPanda transforms IT data into actionable intelligence and automation, enabling incident response teams to increase uptime, efficiency, and velocity.
|
By BigPanda
It’s that time of year when ITOps leaders quantify their plans in budgets that must compete with other equally hungry groups for limited corporate resources. How can the thankless task of proactively preventing outages and speeding time to resolution win against funding flashier projects? Real-world facts can make that difference. Some of the major topics Nigel and Craig will discuss is how to help organizations successfully build and defend their 2023 ITOps budget for investments in tooling, headcount, and workflow improvements.
|
By BigPanda
Learn how leading game studio Bungie relies on BigPanda to help support the seamless operation of its iconic game universes including Destiny, Halo, Myth, Oni, and Marathon - and about the role BigPanda played in the recent launch of ShadowKeep.
|
By BigPanda
The Open Integration Manager enables you to create custom inbound alert integrations through the configuration of a generic, out-of-the-box inbound integration rather than creating custom code. This self-service and intuitive approach streamlines the integration process, accelerates data flow, and enables faster time to value.
|
By BigPanda
Autonomous operations based on AI lets IT operations teams quickly identify the root cause of incidents in today's hybrid computing environments. Learn how to evaluate AIOps solutions and pick the one that best meets the needs of your organization.
|
By BigPanda
Stretched thin and relying on legacy IT Ops tools, IT Ops, NOC and DevOps teams are unable to effectively support today's highly complex, dynamic IT stack. This is causing a rising tide of outages, poor app performance and service disruptions. What's the answer? AI and ML-driven IT Ops automation.
|
By BigPanda
Grounded in the latest market research, this new report, The Modern NOC: IT Ops Predictions for 2018, features 9 key predictions for our industry. Whether you are an executive, manager or engineer, this report examines issues and trends that affect the enterprise at all levels.
- November 2024 (5)
- October 2024 (11)
- September 2024 (9)
- August 2024 (8)
- July 2024 (10)
- June 2024 (7)
- May 2024 (5)
- April 2024 (5)
- March 2024 (8)
- February 2024 (4)
- January 2024 (8)
- December 2023 (11)
- November 2023 (11)
- October 2023 (10)
- September 2023 (2)
- August 2023 (3)
- July 2023 (4)
- June 2023 (3)
- May 2023 (3)
- April 2023 (5)
- March 2023 (11)
- February 2023 (8)
- January 2023 (6)
- December 2022 (5)
- November 2022 (2)
- October 2022 (6)
- September 2022 (10)
- August 2022 (14)
- July 2022 (1)
- June 2022 (6)
- May 2022 (4)
- April 2022 (4)
- March 2022 (5)
- January 2022 (1)
- December 2021 (2)
- November 2021 (5)
- September 2021 (1)
- July 2021 (2)
- June 2021 (3)
- May 2021 (4)
- April 2021 (2)
- March 2021 (8)
- February 2021 (5)
- January 2021 (1)
- December 2020 (15)
- November 2020 (4)
- October 2020 (5)
- September 2020 (2)
- August 2020 (1)
- July 2020 (2)
- June 2020 (5)
- May 2020 (3)
- April 2020 (4)
- March 2020 (2)
- February 2020 (3)
- January 2020 (1)
- December 2019 (3)
- November 2019 (2)
- October 2019 (7)
- September 2019 (4)
- August 2019 (4)
- July 2019 (4)
- June 2019 (3)
- May 2019 (7)
- April 2019 (5)
- March 2019 (3)
- February 2019 (3)
- January 2019 (2)
- December 2018 (2)
- November 2018 (5)
- October 2018 (6)
- September 2018 (1)
- August 2018 (1)
- July 2018 (2)
- June 2018 (1)
- May 2018 (2)
- March 2018 (1)
- November 2017 (2)
- September 2017 (1)
- April 2017 (1)
BigPanda Autonomous Operations platform helps IT Ops, NOC and DevOps teams detect, investigate, and resolve IT incidents faster and more easily than ever before.
Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations. Customers such as Intel, TiVO, Turner Broadcasting and Workday rely on BigPanda to reduce their operating costs, improve service availability and performance, and de-risk and accelerate their digital transformation initiatives. Founded in 2012, BigPanda is backed by top-tier investors including Sequoia Capital, Mayfield, and Battery Ventures.
The intelligent automation your IT Ops team always wanted:
- Correlate: BigPanda's Autonomous Operations platform intelligently correlates alerts from all your monitoring, topology, change and other tools into a handful of context-rich incidents. This lets your ops teams quickly and easily focus on what matters the most to your customers and your business.
- Automate: BigPanda's Autonomous Operations platform intelligently automates responses to your IT incidents across their lifecycle. This lets your ops teams handle more incidents faster and more effectively than ever before.
- Streamline: BigPanda's Autonomous Operations platform intelligently streamlines workflows across your Level 1, 2 and 3 team members, and across your ticketing, service desk and collaboration tools. This lets your ops team rapidly resolve incidents, before they affect your customers and your business.
Autonomous Digital Operations. Intelligent Automation for IT Incident Management.