Operations | Monitoring | ITSM | DevOps | Cloud

Intelligent Instance Selection for Your Kubernetes Workloads

Picking the right AWS instance is challenging because you have to match the ever-changing resource usage patterns of your apps with the 500+ AWS instance types, and the result is over-provisioning and waste. Nearly one-third of businesses exceed their cloud budgets by as much as 40%, in part due to poorly sized instances.

Building personalized ecommerce search experiences with Elastic

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.

Bringing business context to network analytics

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.

An Introduction to OpenTelemetry and Observability

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.

Using search analytics to strengthen ecommerce solutions

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.

Importance of Data Warehouse Automation

The enterprise data warehouse (EDW) provides access to business data stored in a denormalized structure called a star schema, which makes it easy to analyze, visualize, and forecast essential business metrics. Business intelligence (BI) reporting makes use of the data warehouse for real-time self-service dashboards, custom visualizations, data marts, decision-making reports, and machine learning (ML).

TL;DR Python Client Library

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.

Importance of Data Warehouse Automation

The enterprise data warehouse (EDW) provides access to business data stored in a denormalized structure called a star schema, which makes it easy to analyze, visualize, and forecast essential business metrics. Business intelligence (BI) reporting makes use of the data warehouse for real-time self-service dashboards, custom visualizations, data marts, decision-making reports, and machine learning (ML).

EnerKey Reduces Energy Consumption in Commercial Buildings Using InfluxDB

Commercial buildings produce 16% of carbon dioxide emissions in the US, and the EPA estimates that 30% of the energy used by these buildings is wasted. Energy efficiency in commercial buildings is a vital aspect of the transition to greener systems worldwide to fight climate change.