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By BigPanda
Imagine you’re in the middle of a critical project, and suddenly, your system crashes. Or it’s the middle of the night, and your server goes down, affecting countless users. While no enterprise can avoid all IT incidents, how you handle them can significantly reduce their impact. Fast, effective IT incident management is critical, as major incidents are increasingly costly.
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By Nathan Bao
Every enterprise IT leader facing the spiraling complexity of modern IT environments has a version of the same conversation. How can we manage the increasing complexity of more services, more dependencies, and more layers of observability and monitoring? Their answer would add headcount to the NOC, sign another Global System Integrator contract, and buy your organization another year.
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By Nathan Bao
IT incidents are rarely isolated. A network disruption can trigger degradations in infrastructure, which can ripple and cause application errors and end up causing a flood of user complaints. When an L1 operator looks at a single incident, they see only part of the story. Outside their immediate scope, other incidents are actively occurring that are either directly related or impacted by the same underlying cause. Without broader visibility, there is no way to know.
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By Conor Castronovo
As enterprise ITOps teams monitor increasingly complex, cloud-based, containerized systems, traditional observability practices are struggling to keep up. As IT infrastructure complexity increases, the typical response is to layer on more monitoring, logging, and instrumentation.
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By Conor Castronovo
As enterprise ITOps teams monitor increasingly complex, cloud-based, containerized systems, traditional observability practices are struggling to keep up. As IT infrastructure complexity increases, the typical response is to layer on more monitoring, logging, and instrumentation.
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By Rachel Pearson
Enterprise Management Associates found that major IT service outages are increasing in cost, frequency, and duration, with unplanned downtime costing large enterprises nearly $25,000 per minute, or $1.5 million per hour. When every minute costs $25,000, you can’t afford to waste engineering time on coordination tasks like creating channels, paging experts, typing summaries, and posting updates. An agentic AI-powered incident assistant can eliminate that waste and reduce bridge call costs.
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By Rachel Pearson
Every enterprise depends on continuous changes to its IT environment. New code releases, infrastructure updates, configuration changes, and security patches are all crucial to support continuous innovation. These same changes are also a leading source of operational risk and one of the most common causes of failures at the network, infrastructure, and software layers, resulting in outages.
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By Sam Osborn
Enterprise ITOps leaders are realizing that legacy incident management processes are collapsing under the weight of today’s sprawling, hybrid-cloud enterprise environments. The fastest path from reactive firefighting to proactive, automated control is an agentic AI-powered incident assistant that can understand context, coordinate people, and take intelligent action at machine speed. Enterprise IT doesn’t look anything like it did even five years ago.
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By Manish Agarwal
When something breaks in a modern digital service, customers feel it instantly. Pages stall, requests time out, and carts are abandoned, while frustration grows long before a root cause is identified. What the world never sees is the engineering effort required to keep these systems healthy in the first place. Site Reliability Engineers (SREs) carry that responsibility every day.
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By Katie Petrillo
The recent Cloudflare outage served as a stark reminder of how fragile the global digital ecosystem can be due to a single point of failure. In a matter of minutes, thousands of websites that rely on Cloudflare’s CDN, from Fortune 500 brands to SaaS platforms and consumer apps, went offline for hours. The business impacts were severe, with Shopify alone suffering over $4 million in losses while downstream merchant impacts potentially exceeded $170 million.
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By BigPanda
In a crowded MSP market, standing out takes more than great service. See how BigPanda customers are using AI-driven operations to differentiate their offerings, boost profitability, and maximize their ServiceNow investment.
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By BigPanda
When a problem spans multiple domains, L1 teams only see part of the story. BigPanda incident correlation connects the dots automatically, identifying how incidents relate across teams and systems, surfacing the blast radius, and pointing directly to the root cause so teams can triage faster and escalate smarter.
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By BigPanda
When end-users report a problem, L1 teams shouldn't have to manually connect the dots. Service desk correlation automatically correlates service desk tickets with active BigPanda incidents, surfacing end-user impact instantly so teams can prioritize and triage with the full picture.
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By BigPanda
This demo of AI Incident Assistant shows the agentic AI capabilities that help streamline collaboration, investigate smarter, and automate resolution for major incident management teams.
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By BigPanda
BigPanda delivers the next evolution in AIOps solutions, featuring agentic automation for ITOps and ITSM teams, all in a single platform. Agentic IT operations from BigPanda keep the digital world running by transforming reactive, manual IT processes into proactive, intelligent automation. Our platform uses AI to detect, respond to, and prevent IT incidents at machine speed.
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By BigPanda
Post-incident reporting through AI Incident Assistant relieves the burden of post-incident analysis and report creation and saves incident responders valuable time.
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By BigPanda
BigPanda Change Risk Management delivers scalable, proactive change management with AI-powered analysis and improves service reliability.
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By BigPanda
The new Problem Management feature in BigPanda automatically identifies underlying patterns and root cause across incidents, giving problem managers the insights they need to resolve issues permanently.
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By BigPanda
When enterprises run dozens of monitoring and observability tools, performance gaps almost always emerge. By applying the BigPanda Observability Scorecard, our customers consistently see their tool portfolio fall into three groups: In some cases, removing bottom-tier tools can reduce portfolio complexity by double digits while cutting operational noise by as much as 35-40%. This simplification reduces costs while creating a leaner, more reliable monitoring environment that strengthens service availability and operational efficiency.
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By BigPanda
Choosing the right observability tools is critical so ensure your teams get actionable insights. In this video, we explore how to evaluate observability platforms based on their ability to detect anomalies, link causes, and trigger effective responses.
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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.
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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.
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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.
- April 2026 (3)
- March 2026 (5)
- February 2026 (2)
- January 2026 (3)
- December 2025 (4)
- November 2025 (2)
- October 2025 (8)
- September 2025 (6)
- August 2025 (1)
- July 2025 (1)
- June 2025 (4)
- May 2025 (2)
- April 2025 (3)
- March 2025 (2)
- February 2025 (11)
- January 2025 (9)
- December 2024 (4)
- November 2024 (6)
- October 2024 (10)
- September 2024 (9)
- August 2024 (8)
- July 2024 (10)
- June 2024 (6)
- May 2024 (5)
- April 2024 (5)
- March 2024 (8)
- February 2024 (4)
- January 2024 (8)
- December 2023 (11)
- November 2023 (9)
- October 2023 (9)
- 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 (4)
- 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.