Thanks to Vinay Kumar for being a key contributor to this article. We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product to meet developers where they are, to ensure their happiness, and accelerate Time to Awesome. This week, we are covering a featured product release that we think will save you time and effort when building with time series, InfluxDB – and specifically – Tasks.
For online storefronts, there’s a fine line between a converted sale and a lost opportunity. The slightest overlooked detail on an ecommerce site can lead to customers quickly clicking elsewhere. The key to retaining site visitors and driving clicks that lead to sales lies in the technology behind the customer experience — specifically, search.
Kentik brings real-world business context to the telemetry we collect and the analytics we provide. That’s the overarching theme I got from Networking Field Day: Service Provider 2. As I watched and listened to each presentation, it was pretty obvious to me that Avi, Steve, Doug, and Nina, all technical powerhouses, were a little less focused on packets and a little more focused on how we can improve network operations and a service provider’s ability to make smart business decisions.
Cloud native and microservice architectures bring many advantages in terms of performance, scalability, and reliability, but one thing they can also bring is complexity. Having requests move between services can make debugging much more challenging and many of the past rules for monitoring applications don’t work well. This is made even more difficult by the fact that cloud services are inherently ephemeral, with containers constantly being spun up and spun down.
When it comes to delivering exceptional results to customers, having an understanding of all the tools at your disposal will give you a leg up. Especially in these uncertain economic times, this is even more important as companies look to gain any advantage possible. Being able to convert browsers into buyers and customers for life by providing the best customer experience will truly usher in this advantage.
InfluxDB has over a dozen different client libraries to help developers work with time series data in whatever programming language they like best. The Python client library is one of our most popular options. It’s simple to learn, and working with InfluxDB in a language you’re comfortable with helps you get started doing powerful time series analysis quickly.
