Operations | Monitoring | ITSM | DevOps | Cloud

This post was written by InfluxAce Nikki Attea A long time ago in a galaxy far, far away the phrase “May the Force be with you” originated to wish those good luck before parting ways, oftentimes before a journey or battle.

There’s no question that subscription-based businesses are an incredibly popular revenue model in today’s economy. While single transaction revenue models tend to fluctuate due to the seasonality of markets, subscription plans offer much more consistent and predictable revenues. Although the subscription revenue model can certainly be advantageous over one-off transactions, these businesses are also notoriously challenging to keep subscribers active on their plan.

We hope everyone is staying safe and healthy and taking advantage of the added time at home to spend ample time with your families, picking up new hobbies, workout routines, and staying active! We are in unprecedented times, and as you look around, we are all having to change our ways and adjust to the new normal in our personal and professional lives.

As we connect with customers we increasingly hear the need for teams to be more predictive with their data. A big challenge is uncertainty around how to get started, especially when much of their data is unstructured. At Splunk, our goal is to make data — and machine learning — accessible for a broad range of users. The good news is, with machine learning doing even more work on your behalf, you don’t need to be a data scientist to use these advanced capabilities.

Amazon Web Services (AWS) products are countless, and at LogicMonitor, we are working tirelessly to bring monitoring support to as many of them as possible. With so many products and tools already on your plate, we want to make sure that monitoring is not a hassle, but rather a trusted companion. Here, we will focus on the analytics section of AWS and provide some tips on how to utilize the data collected from AWS Athena and Glue.

Microsoft Power BI is a business analytics solution providing interactive visualizations and business intelligence capabilities from data and provides an interface that is simple enough for admins to create their own reports and dashboards. Data inputs to Power BI can come from multiple sources – Excel worksheets, CSV files, database tables, log files, the web, etc. It then employs smart visualizations and built-in AI technologies on that data to turn it into interactive insights.

Let’s be honest. No one wakes up in the morning thinking of reasons to contact customer support. It’s tedious, onerous, and can eat into your evening Netflix time. Thankfully, most brands realize that customer experiences drive brand loyalty and repeat purchases.

Even though most of us have spent this month working from home or furloughed due to COVID-19, glitches certainly haven’t been taking a break. We’re still relying on intricate software systems to keep the world moving, and we have little ability to maintain them in person. What’s more, changing usage patterns have stressed global networks in ways that are hard to anticipate. As a result, we find ourselves in a perfect storm for technical outages.