IT Ops execs and service owners in most enterprises want to be able to quickly and easily report on application and service uptime and performance, IT Ops and Network Operations Center (NOC) team performance, and incidents by source, severity and other parameters. But in order to accomplish this, most IT Ops teams waste precious hours every week, wrangling with spreadsheets and general-purpose reporting tools that are hard to use and keep up to date. IT Ops teams also struggle with not having the right data, relying on the wrong data, and focusing on the wrong metrics.
Trusted by some of the most demanding organizations in the world, including Intel, United Airlines and Turner Broadcasting, BigPanda AIOps is the fastest, most effective and least-disruptive way to adopt AIOps. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management and unifies fragmented IT operations. Overwhelmed and understaffed IT Ops and NOC teams use BigPanda to detect, investigate and resolve IT incidents faster and more easily than ever before.
With Log Intelligence you can reduce the noise in your IT/logs events without losing context or the essence of events. Log Intelligence sits in between your enterprise IT logs/events and your SIEM tools (like Splunk, QRadar, Exabeam etc.) and lets you intelligently reduce noise using a combination of AI/ML models and configurable rules using data bots and pipelines.
- Data Reduction
- Data Enrichment
- Data Replay
- Data Analytics & Observability
BigPanda’s Incident 360 Console is the “single pane of glass” for IT operations teams. The console allows them to easily see and investigate incidents, analyze their impact, determine their root cause and take action on them, as well as collaborate with other team members to simplify their resolution – all from one screen.
BigPanda’s Root Cause Analysis (RCA) capability uses Open Box Machine Learning to help organizations identify changes in infrastructure and applications that cause the majority of today’s incidents and outages. Additionally, BigPanda identifies low-level infrastructure issues that cause problems. By harnessing the power of AIOps, BigPanda is able to pinpoint the root cause of incidents and outages in real-time. The result is tangible in both revenue and SLAs, by helping IT Ops rapidly resolve incidents and outages.
CloudFabrix has taken its fully-featured, Enterprise-class platform and brought it to a SaaS model for you to experience and enjoy. Now enterprises can simply signup and get benefit from broad set of services enabled by the powerful platform ranging from Log Intelligence, E-Bonding, Asset Intelligence, AIOps, Automation and more ...
As software development continues to evolve, testing teams are under pressure to release faster while maintaining the highest levels of quality amidst a complex and fragmented ecosystem. With AI-powered test modeling, you can quickly assess risks and make informed decisions. Keysight Eggplant Test and Automation Intelligence delivers the coverage you need to optimize the user experience, speed up release cycles, and improve your quality assurance process.
BigPanda Automatic Incident Triage automates and shortens the triage phase of your incident management lifecycle.
Featured Case Studies
When companies like NTT Ltd. put AI/ML at the forefront of their strategy, they see rapid results- their initial deployment of Grok yielded a 50% improvement in mean time to repair (MTTR) and another 50% improvement in mean time to identify (MTTI).
"Without this tool our teams would waste valuable time logging into many different programs. BigPanda helped us streamline our process so that in turn we could solve issues and troubleshoot in a much more timely manner."
Download the case study to see how a 3D Design Software company cut its Amazon EMR costs through Pepperdata's Capacity Optimizer and Spotlight solutions.
Grok AIOps was implemented to provide better visibility and to enable the customer to improve their ability to manage increasing event volumes and improve service levels with their customers.
TiVo’s stated objective is to proactively detect and resolve issues before its customers are impacted. But the non-stop pace of digital innovation required to support its ‘Ultimate Entertainment Experience’ mission meant that TiVo’s IT Ops team had to first solve the challenges that come with ever-increasing IT complexity.