An MSP’s ability to do effective work depends on their technical expertise. However, their ability to ensure customer satisfaction is what really grows their business. This is because high levels of customer satisfaction retain current clients and win over future ones. Given this reality, MSPs need to be strategic about how they approach their work as every interaction is an opportunity to improve customer satisfaction.
More and more organizations are adopting DevOps practices, and it’s been well documented that DevOps is more of a journey than a true destination. Development teams release software more often on increasingly ephemeral infrastructure, making communication and agility a business requirement. PagerDuty helps modern DevOps teams automate their incident resolution process so they can deliver better software, faster.
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.
You can now install our very own StatusCake app on any iOS or Android device. This means you can check your test status on the go wherever you are without needing to log into email or access the StatusCake site in a mobile view! At launch the app covers Uptime, SSL and PageSpeed type tests, and you can view all of the important information for each type at a glance. All you will need to make use of this is your StatusCake username and API key.
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.
