BigPanda improves service availability
BigPanda improves the performance and availability of critical business applications by reducing MTTR by 50% or more. IT Ops teams can deliver better user experiences by eliminating noise, automating incident management and reduce manual toil.
Why are services hard to keep up and running?
IT complexity, manual processes and unending alert noise are constantly working to undermine the availability of digital services and businesses’ reputations. IT Operations teams often struggle to manage legacy tools that can’t keep up with the volumes and variety of monitoring data that is generated by ever-growing IT scale and complexity.
Poor user experiences
Today’s IT scale, complexity and pace of change are creating more incidents and outages than ever before—tarnishing the user experience. Resolving these complex problems is more difficult than ever. Critical revenue-generating applications and services experience painful, frequent and prolonged outages.
Improve user experiences
By using machine learning (ML) to correlate alerts, changes and topology data, BigPanda detects incidents as they start to form and before they escalate into outages. This reduces the frequency and impact of outages that affect critical revenue-generating applications and services. When outages do occur, BigPanda surfaces the root cause and routes them to the right IT teams for rapid resolution. Fewer service-level agreements (SLAs) are breached, and users are happier.
Detect incidents before they escalate into outages.
Because many aspects of incident management are manual and inefficient, incidents and outages take longer to resolve. The performance and availability of critical applications and services are degraded for long periods of time.
BigPanda automates different aspects of incident management—including ticketing, sharing with chat and notification tools and custom workflows—so that IT Ops, NOC, DevOps and SRE teams don’t waste time on manual tasks. It also provides ML-driven insights like probable root cause and business impact, which accelerate remediation. This means that critical apps and services benefit from fewer incidents and outages. And when problems do occur, performance and availability are restored faster.
Diminished customer loyalty
Enterprises are under enormous revenue and margin pressure today. Given a plethora of choices and low switching costs, customer loyalty is hard to earn and harder to keep. Over time, poor application and service experiences or failed transactions cause frustration and put future revenue at risk.
Protect customer loyalty
BigPanda reduces the frequency, duration and impact of outages so that enterprises can more reliably serve their customers and continue to take customer orders or process transactions with far fewer interruptions. BigPanda also lets users drive long-term improvements to their incident management capabilities by providing actionable, insight-rich reports highlighting KPIs, metrics and trends.
Make long-term improvements with more valuable reports.
Fragmented team collaboration
Fragmented and inefficient collaboration between IT Ops, NOC, DevOps and SRE teams results in incidents and outages getting stuck in different stages of the incident management lifecycle. This needlessly prolongs incidents and outages, increasing downtime and MTTR.
Streamline team collaboration
BigPanda streamlines collaboration between the IT Operations team members using it, as well as with other teams that use ticketing, chat and collaboration tools via bi-directional sharing and syncing. This helps enterprises improve application and service performance and availability, thus reducing MTTR.
Improve service performance.
Massive alert noise
Most enterprises have significant investments in 15 or more monitoring tools. These tools provide deep visibility into their part of the infrastructure or app landscape, but they generate an overwhelming amount of noise. IT Ops, NOC and DevOps teams drown in this noise and can’t focus on real incidents until it’s too late.
Eliminate alert noise
BigPanda uses ML to correlate alerts, changes and topology data together, and reduces IT alert noise by over 95%. BigPanda provides unprecedented control over its ML, letting users see the logic in plain English, edit it and incorporate their tribal knowledge and test and preview results before deploying changes into production. No longer overwhelmed and distracted by IT alert noise, IT Operations teams can catch evolving incidents as they happen—before they escalate into crippling outages.
Reduce noise by 95%.
Because IT Ops teams are drowning in alert noise, critical incidents fall through the cracks or just wait in line for an operator to have time to handle them. IT Ops teams can’t detect incidents in real time. When these incidents escalate into outages and users complain, these teams switch to a reactive mode and are forever stuck there.
Proactive incident management
By detecting incidents as they start to form and surfacing them before they escalate into crippling outages, BigPanda helps IT Operations teams take a real-time incident management approach. This helps these IT teams switch from reactive to proactive incident management.