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By Jason Walker
As work environments for entire industries continue to evolve between on-site, remote, and hybrid models, the performance of IT operations (ITOps) teams is more critical than ever. If you need proof, just remember the global impact of the CloudStrike outage. Operations teams must monitor, triage, communicate, and manage incidents 24×7 across all services. SaaS, legacy on-premises, and homegrown tools and systems are all stretching to meet business demand. Customer expectations are ever-increasing.
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By Sam Osborn
In a recent webinar, BigPanda CEO Assaf Resnick noted that for the last 15 years, CIOs staked their reputations on how effectively they could move their enterprises to the cloud. Assaf predicts CIOs will focus on integrating generative AI into their enterprises over the next 10 years to deliver tangible business value. IT operations (ITOps) and IT service management (ITSM) offer significant opportunities to incorporate AI to enhance and accelerate their processes.
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By BigPanda
Do you feel you’re always playing catch-up with incidents? If so, you’re not alone. As IT environments become more complex, alerts keep piling up, and finding the root cause feels like searching for a needle in a haystack. And ITOps and incident responders are left scratching their heads and wondering: what went wrong? It can be frustrating when you don’t have end-to-end visibility into your systems. This is where observability comes in.
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By Elli Dugger
Your ITOps and Incident Management teams face thousands of alerts daily. How can they find the “needle in the haystack” to prevent critical alerts from escalating into incidents that impact users and customers? This challenge plagues modern IT departments as alert noise, fragmented data, and chaotic workflows extend response times and undermine service reliability.
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By BigPanda
Modern IT environments are complex and interconnected, making observability essential for maintaining system and application performance. The challenge is not just about ensuring systems run smoothly; it’s about understanding the complicated web of data, services, and user interactions that drive your operations. This is where observability comes into play. Observability offers a deeper understanding of why issues arise in the first place.
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By Conor Castronovo
BigPanda was honored to be a premier sponsor of Gartner’s IT Infrastructure, Operations & Cloud Strategies Conference (IOCS) in Las Vegas, Nevada. This event allowed us to showcase the latest BigPanda capabilities, connect with industry leaders, and gain valuable insights into the future of IT operations. For those who couldn’t attend, here are the three most impactful insights from my conversations with the customers, vendors, and analysts at IOCS 2024.
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By Sam Osborn
Today, every enterprise is digital. Regardless of industry, every business must incorporate digital technologies and strategies into its operations to remain competitive. Maintaining reliable IT infrastructures and digital services while minimizing downtime due to unplanned outages is critical to business success.
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By Sam Osborn
Are your IT systems underperforming due to incomplete or outdated data? In ITOps, where quick and accurate decision-making is critical, raw data alone can limit efficiency. Data enrichment adds the context needed to turn basic data into a powerful source of actionable insights.
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By Nathan Bao
Managing modern IT environments is becoming more complex and fragmented as organizations rely on a broader range of applications and services, including cloud, hybrid infrastructure, microservices, and legacy systems. This complexity and velocity surpass human capacity and old processes, making it challenging for IT teams to respond efficiently to incidents.
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By BigPanda
The handoff between IT operations (ITOps) and incident management is often chaotic. NOC operators receive an overwhelming deluge of noisy low-priority alerts, which prevents them from detecting actionable, important alerts. This delay causes tickets to pile up, SLAs breached, and unnecessary assignments and escalations to L2 and L3 engineers. Concurrently, L1 analysts react to user-initiated tickets with little to zero context, forcing them to escalate the issues.
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By BigPanda
Meet BigPanda Biggy AI, the interactive AI that’s purpose-built for incident responders. Powered by BigPanda’s AI-powered ITOps and incident management platform, Biggy streamlines troubleshooting for incident management by aggregating data such as observability tools, service history, informal and institutional knowledge, and more.
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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.
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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.
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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.
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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
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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
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By BigPanda
BigPanda transforms IT data into actionable intelligence and automation, enabling incident response teams to increase uptime, efficiency, and velocity.
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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.
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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.
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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.
- January 2025 (7)
- December 2024 (4)
- November 2024 (6)
- 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.