19 December 2014 blogs Diana Krieger 4 min read
In many parts of the world, December is the month of lights. Houses and trees are decorated with festive lights to celebrate the holidays and everything glows. Inside other lights are glowing: people are online and shopping like crazy because stores are having sales, sales, and more sales. This is exactly what retailers want and what the economy needs. But what no one wants, not the customer or the retailer, is for the customer to become frustrated while trying to buy products. And we have all experienced that haven’t we?
We have our deeply discounted purchases in our shopping cart and we are trying to check out but the page stops responding and everything slows to a crawl. Sometimes you can’t even get that far —the page freezes when you try to add an item or you get an error message and you have to start all over again. In the back of our mind we know that the servers must be overloaded because of the huge volume of traffic but then we wonder why this traffic wasn’t anticipated? Why didn’t they make sure we would have a seamless experience? They want us to buy things right? Frustration is closely followed by stress and sometimes even mild panic at the thought of losing our great deals.
Even if you haven’t been on the customer side of things when it comes to an overloaded server scenario, then chances are you’ve been on the panicking business side of things. You might have gotten the call or alert late at night and your stress levels go up with the knowledge that your customers cannot complete their transactions and your company is losing both sales and future customers. It might even have gotten to the point that you and your team get stressed in advanced about upcoming peak transaction times but it doesn’t have to be like that anymore. By using a combination of predictive, real-time, and historical analytics your team can know in advance when things are going to get busy and they can test your IT environment to make sure that the infrastructure and applications can handle the volume. With the right solution in place when the peak time arrives your team can be notified at the first sign that a disruption might be about to occur so they can resolve it quickly before a business-critical service goes offline.
Two layers of technology are needed to get these critical analytics that can minimize downtime during peak volumes: the first layer is the Operations Manager component of Microsoft® System Center (SCOM) and the second layer is Live Maps. SCOM monitors the performance and availability of the infrastructure and applications in your datacenters and Live Maps makes business sense out of the SCOM alerts by showing your team the health of your company’s business-critical services in the form of graphical dashboards, maps, and service models—and from three different perspectives: end users, infrastructure, and applications. Your IT specialists can use Live Maps to view the impact of changes, such as increases in transactions or traffic, on the performance of the current IT environment and use this information to help prepare for peak times. And during peak times your team will receive streamlined service-based alerts that will help them quickly prioritize, troubleshoot, and resolve issues before they become a larger and more serious problem.
Check out our flagship product- Live Maps, to learn more about how you can take the stress out of peak times and ensure that your customers are happily shopping the holidays away.
About Diana Kriger
Diana was responsible for defining, implementing and executing the growth acceleration strategy and the day-to-day operations of Savision.
Diana has a strong track record in various industries like fashion, cosmetics and online recruitment; in her last jobs, she was the Managing Director for the Benelux market at Monster Worldwide and led the growth strategy of internet agency TDC Lighthouse Internet before realizing an exit. She has also been involved in many online start-ups.
She graduated at the University of Amsterdam with a degree in Business Economics and is a certified Marketeer (NIMA C).