Operations | Monitoring | ITSM | DevOps | Cloud

Recently, I was talking to Catchpoint’s High School Summer Interns about what software engineering is all about. They’re spending a week at a time with various Catchpoint departments, and last week was with the Catchpoint Technology Group.

MongoDB is one of the most popular NoSQL databases in the world, used by millions of developers to store application metrics from e-commerce transactions to user logins. The MongoDB Enterprise plugin for Grafana — which is available for users with a Grafana Cloud account or with a Grafana Enterprise license — unlocks all of the data stored in MongoDB as well as diagnostic metrics for monitoring MongoDB itself for visualization, exploration, and alerting.

This is the second post in a 2 part blog series on debugging, monitoring and tracing NodeJS Lambda applications. If you haven’t yet seen part 1, check it out here (it’s a great read!) Now let’s get back into our post with one of the most commonly experienced issues when it comes to Lambda functions, Cold Starts.

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.

As a managed service provider, your success depends largely on the satisfaction of your customers. If they’re happy, they’ll stay with you and recommend you to others. But if they’re not, they’ll take their business elsewhere. Sometimes, some customers are never satisfied no matter how hard you try. Instead, they’re always finding something to complain about, which can be frustrating.

Since the beginning of June this year, internet connectivity in the Russian-held Ukrainian city of Kherson has been rerouted through Crimea, the peninsula in southern Ukraine that has been occupied by Russia since March 2014. As I explain in this blog post, the rerouting of internet service in Kherson appears to parallel what took place following the Russian annexation of the Crimean peninsula.

Telemetry data is a powerful tool for understanding the behavior of complex systems. OpenTelemetry provides a platform-agnostic, open-source way to collect, process, and store telemetry data. This post explores the OpenTelemetry collector architecture, specifically focusing on the Collectors component. We'll look at how collectors work and how they can be used to process telemetry data from any system or application. We'll also discuss some benefits of using OpenTelemetry for your telemetry needs.