Continuous delivery (CD) is more than a buzzword. In fact, CD today drives development and operations (DevOps) teams at enterprises around the world.

When a critical incident hits, the implications for the business could not be more profound. Whether it’s a productivity system that powers the efficiency of thousands of employees, or an online service that serves millions of customers and drives the company’s revenues - no organization can afford anything less than an immediate and effective resolution.

At first glance, applying machine learning to Continuous Delivery might sound a bit like cracking a peanut with a sledgehammer. I mean, how hard can deployment automation actually be? As it turns out, it’s way more complex than we think.

The Incident Command Center (ICC) empowers your organization to command, control, and coordinate incident response without having to leave the OpsGenie app. With the ever-expanding demand for always-on services, increasing uptime is just as critical. Streamlining incident response leads to faster resolution of issues and less headaches for your customer.

Small and slow leaks sink ships – by analogy, slow and small leaks can also cause significant losses for any business if not detected and fixed early. Are small leaks interesting? Suppose an eCommerce business sees a decline of 50% of purchases in the last day – the entire company would be called in – from the CEO all the way to R&D, Support, to figure why it happened as quickly as possible.

The VictorOps application is an incident management system built specifically for DevOps. It’s focus on system data and team collaboration makes it an excellent choice for ensuring that StatusCake alerts go to the right person at the right time, which will reduce alert fatigue and ultimately increase uptime.

Software has become part of our daily lives – from sending money using your phone to signing contracts with a click. But all this progress comes with a downside – specifically, downtime. When a popular online service goes down, it disrupts millions of people and costs businesses $700 billion per year in North America alone. Responding to service disruptions has become one of the biggest challenges facing IT organizations today.

SAN FRANCISCO – Sept. 4, 2018 – PagerDuty, a global leader in digital operations management, today announced it has surpassed 300 integrations as part of its market-leading, open ecosystem for real-time operations. This ecosystem enables PagerDuty customers to automate the detection, triage, response and resolution of real-time events and incidents across complex and constantly changing tech stacks and microservice architectures.