|
By BigPanda
Network topology describes how a network‘s nodes, connections, and devices physically arrange and interconnect, as well as how they communicate. The arrangement or configuration of a network’s components plays a crucial role in ensuring smooth ITOps with minimum downtime. Any issues in the network can disrupt operations, leading to potentially dire consequences. To prevent this, you need to understand your network functionality and structure.
|
By Katie Petrillo
Lack of communication between IT operations and ITSM teams results in data silos. And data silos make it challenging, if not impossible, to solve problems efficiently. One-third of ITOps professionals say that gathering business context is the biggest challenge to effective incident response and management, according to EMA Research.
|
By Conor Castronovo
The lines between IT service management (ITSM) and AIOps are blurring. The Gartner Hype Cycle for ITSM, 20241 discusses this exciting convergence. Traditionally, ITSM has focused on structured processes and best practices. AIOps brings valuable new capabilities to service management, including automation, correlation, machine learning, and real-time insights. This convergence augments established ITSM frameworks and processes rather than replace them.
|
By Sam Osborn
Service operations (ServiceOps) is a technology-enabled approach that unifies IT operations and IT service (ITSM) teams and facilitates frictionless collaboration for more effective incident management. ServiceOps combines people, processes, and technology to improve visibility, workflows, and collaboration between otherwise siloed departments. Organizations of all sizes and industries worldwide have adopted ServiceOps.
|
By Nathan Bao
In a previous post, we discussed initiating your AIOps journey. Now, we’re exploring best practices for progressing through each phase of the maturity journey. In these posts, we’ll focus on how to get started, proven techniques, key participants, and how to measure success.
|
By Conor Castronovo
As technology evolves, so does the language we use to describe it. Not surprisingly, IT operations have evolved dramatically since 2016. Given these changes and enhancements in artificial intelligence, the industry is overdue for an updated definition of AIOps platforms. AIOps isn’t going away, but we are changing some ways we talk about it. In the Gartner Hype Cycle for ITSM, 2024, Gartner announced new phrasing to describe the technology used in event management.
|
By Sam Osborn
ServiceOps is a technology-enabled approach that unifies IT operations and IT service management (ITSM) teams to improve incident management. In a recent survey of more than 400 global IT leaders by Enterprise Management Associates (EMA), 96% of respondents reported positive results from implementing the approach. Adoption rates are high: 75% have either an active effort or a formal initiative to streamline collaboration between ITSM and ITOps teams.
|
By Sam Osborn
The complexity of modern IT environments and the volume of data they produce have increased by orders of magnitude. According to predictions from UBS, the data universe will grow by more than a factor of 10 — reaching 660 zettabytes — from 2020 to 2030. This explosive growth exceeds the abilities of legacy event-management tools and human operators. AIOps augments human activities within IT operations using AI, data, and machine learning.
|
By Sam Osborn
IT operations teams in the financial services industry face serious challenges. Customers expect a seamless experience across a complex landscape including online platforms, mobile devices, and ATMs. Competition is fierce. Technology evolution continually disrupts the marketplace. These factors create obstacles for the teams tasked with ensuring near-perfect service availability while continuing to innovate.
|
By Katie Petrillo
The ability to quickly and accurately identify the root cause of IT incidents is paramount. According to EMA Research, more than 80% of IT professionals said a solution that could generate an accurate summary of alerts and incidents, including the likely root cause, would be transformational or high value. Respondents noted that such a solution would reduce mean time to resolution (MTTR) by 10 to 30 minutes.
|
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
BigPanda's easy-to-use self-service Email Parser receives information in email form and converts the data into BigPanda alerts. This is ideal for monitoring tools and systems that do not support REST API, the email parser extracts alert data such as status and properties right from the email's subject or body without the need for custom code.
|
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.
- July 2024 (8)
- June 2024 (7)
- May 2024 (5)
- April 2024 (5)
- March 2024 (8)
- February 2024 (4)
- January 2024 (8)
- December 2023 (12)
- November 2023 (12)
- 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.