LeBron James. Marta. Daniel Cormier. Tom Brady. Simona Halep. One thing these individuals—each widely considered amongst the best in their respective sports—have in common is their commitment to training. Each dedicated countless hours to carefully honing their skills through continuous training, to the point that when faced with a challenge, they respond instinctively.
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.
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.
SAN FRANCISCO--(BUSINESS WIRE)-- Atlassian Corporation Plc (NASDAQ: TEAM), a leading provider of team collaboration and productivity software, today announced it has entered into a definitive agreement to acquire OpsGenie, Inc., whose technology enables companies to better plan for and respond to IT service disruptions.
