Most folks familiar with BigPanda know that automation is a foundational block of our technology. Our platform automates the entire events pipeline with functions including standardizing and deduplicating alerts, cutting down on the volume of incidents, and automated enrichment that provides better context and alert payloads. But these are all part of an inbound flow of events through integrations.

Remember when Slack went down in early January? The three-hour outage, set off by AWS capacity issues, cost the company an untold amount of money. And the effects rippled across the enterprise. The outage devalued the company’s stock and seemed to send all 142,000 of its customers to Twitter to gripe. This high-profile outage is just the most recent of many outages highlighting the critical nature of continuous availability. And there’s only one answer to the problem.

IT Operations is experiencing lightning-fast change right now. From the emergence of cloud computing to the explosion of data—not to mention ever-present cyber threats—every day is a new day for IT Ops. At BigPanda, we’re laser-focused on making life easier for IT Ops teams, which means we’re staying on top of all this change to help IT Ops keep up.

Enterprise data systems are like busy family households. You see a constant flow of activity to varying degrees from room to room. This activity includes people wandering, opening and closing doors. And then there are other streams constantly flowing through the household- electricity, water, Wi-Fi networks and more. In modern enterprises, the data deluge is a critical issue. While we take the complexity for granted in a household, such is not allowed in a connected enterprise.

The concept of AIOps is simple: Infuse artificial intelligence(AI) into IT to make operations speedier and more efficient. In theory, AIOps at its best should lead to an autonomous IT environment in which functions can run themselves with little or no human intervention. In practicality, the path to this nirvana state is anything but straightforward and raises several questions. Where should you start? How do you measure the value? Is AI ready to scale across production environments?

ScienceLogic customers are well-aware of the challenges inherent with the growing complexity of their IT infrastructures. That’s why you’re making investments in digital transformation and adopted SL1 as your AIOps platform of choice for your IT operations monitoring and management strategy.

Operational Resilience has always been the goal of any financial institutions IT Team but achieving “always available” and “always secure” is more complicated to achieve than many would expect.