Operations | Monitoring | ITSM | DevOps | Cloud

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.

Aiven for OpenSearch® On 2022-08-23, Aiven will complete its migration away from Elasticsearch. Read on to find out how this affects the backwards compatibility we were providing.

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.

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).

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).

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.

As the number of data assets and related technologies grows, figuring out how they relate gets harder. Find out about a new tool that can give useful insights.