BigPanda announced powerful new integration capabilities to support ServiceNow customers and a multitude of other systems, and the launch of a new online self-service resource called BigPanda University.
Integration with ServiceNow
Based on customer demand, BigPanda has developed a new integration with ServiceNow, providing additional value to joint customers from their ServiceNow instances.
With today’s large enterprises embracing a best-of-breed tools strategy involving the adoption of world-class solutions like ServiceNow and BigPanda, this new integration enables:
- Easily customizable ticketing automation. In minutes, users can quickly customize and fine-tune the behavior of their ticketing integration (e.g. define new logic to populate the priority of a ticket or link a ticket to specific CIs based on alert tags) without needing to rely on expensive professional services or a long in-house development project.
- Enhanced, highly intuitive administration UI. The new streamlined admin UI enables users to easily and quickly configure and customize all three aspects of the integration: Automated Ticketing, Change Management and CMDB/Topology.
- Fully extendable capabilities. For customers looking to create highly advanced logic, BigPanda makes it easy to customize and tweak the integration’s ServiceNow scripts and business rules. BigPanda provides an out-of-the-box library of examples, code snippets and documentation for fast results.
Additionally, BigPanda has announced the launch of Integrations Diagnostics, a new capability that helps customers rapidly build, fine-tune and troubleshoot custom integrations on their own, and bring in new sources of data and address evolving business needs.
Integrations Diagnostics makes it easy for teams to bring in data from commercial, homegrown, legacy or other niche tools with the full support that BigPanda is known for.
BigPanda University
The company has also announced the launch of BigPanda University, an online resource where prospects and customers can consume content including a library of “Getting Started” videos, guides and best practices documentation to help users get the most value from the BigPanda platform.
BigPanda University reaffirms the company’s commitment to ease-of-use and a world-class, self-service user experience by providing the necessary tools to empower and enable success throughout the AIOps journey.
BigPanda University also offers advanced learning opportunities, allowing users to take a deeper dive and walk through the steps of a highly effective workflow for incident management.
“One aspect of a comprehensive self-service experience is the creation of an extensive set of customer education content, for all the stages of the product onboarding process and all levels of usage,” said Elik Eizenberg, CTO and co-founder, BigPanda. “The content housed under the BigPanda University umbrella are valuable companions to our comprehensive documentation library and FAQ knowledge base, further reinforcing the rapid time to value we deliver for our users.”
BigPanda Growth in 2020
During fiscal year 2020, BigPanda added 31 Fortune 500 companies as customers, including seven in the Fortune 100, doubling its enterprise customer base. New customers include household names across all industries and sizes, including Expedia, Sony Interactive, Wiley, Fanatics, LogMeIn and TIVIT. To capitalize on their momentum, the company has continued to build out the Go To Market team to support accelerated growth in 2021.
This year, BigPanda also saw a 96% renewal rate across their customer base, with a 99.4% cumulative customer satisfaction score. This demonstrates that, in addition to new growth, the business is retaining happy customers who see strategic and continued value in BigPanda’s solution.
“Every business faced a multitude of unforeseen challenges in 2020, so we’re both proud and grateful to our new and existing customers who continue to place trust in us as they navigate today’s circumstances,” said Assaf Resnick, CEO and co-founder, BigPanda. “As we look ahead to 2021, we have put ourselves in an advantageous competitive position, and our commitment to continually evolving our industry-leading platform will keep us there for the foreseeable future.”
BigPanda at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference
BigPanda will take part in the Gartner IT Infrastructure, Operations & Cloud Strategies Conference, an online event taking place Dec. 7-10. The company will meet with Gartner customers and analysts during the virtual conference, showcasing its AIOps-powered Event Correlation and Automation solution and to attendees who want to understand how they can successfully adopt AIOps.
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...