Customer-centered business practices have become a major focal point in IT innovation. The advent of massive communication has brought forth a big challenge, however: how does one provide a top-notch customer experience when there are so many factors to account for? The market’s answer to this conundrum is monitoring software.
Ah, good question! TL;DR: store the start time of the span, and then create the span on the new page. Usually, you want to start a span, do some work, and then end the span. The whole span gets sent to your OpenTelemetry collector (and thence to Honeycomb) when you end it. But when a page load happens, that span object is lost. Honeycomb never hears about it becausespan.end()wasn’t called. How can we deal with this? Create the span only on the new page, where you can end it. But!
Back in 2019, David Simmons created an awesome blog introducing LoRaWAN devices and The Things Network. He also showed you how easy it was to connect The Things Network V2 to InfluxDB. Since then, a few things have changed and I thought it was time to revisit the Things Network with a new project.
Feature Highlights is a new addition to our ongoing series of webinars. As the name suggests, it’ll focus on specific product features with anonymized customer use cases taking center stage. In other words, how Cribl customers actually use the features to get the job done, sometimes in unintended ways. QuickConnect was the first act with a session “Streamline Connections w/ LogStream QuickConnect”.
Python code optimization may seem easy or hard depending on the performance target. If the target is “best effort”, carefully choosing the algorithm and applying well-known common practices is usually enough. If the target is dictated by the UX, you have to go down a few abstraction layers and hack the system sometimes. Or rewrite the underlying libraries. Or change the language, really. This post is about our experience in Python code optimizations when whatever you do is not fast enough.
In this episode of Network AF, your podcast host Avi Freedman chats with networking investor, advisor and VC partner, Alan Cohen. Alan brings a hilarious, witty and nonconformist attitude to the talk, exploring Silicon Valley in the 90s, the joy of moving from large enterprises to small disruptors, and generously sharing secrets of the trade with Avi and podcast listeners.
To provide a fast, seamless, and highly available experience for the end-user, modern applications increasingly rely on third-party services. Due to this rising complexity, it's become important for IT employees to ensure that these services are up and running and communicating as they should. API monitoring has thus become a must-have for DevOps teams.
Almost every organization is moving towards or planning to move towards digital transformation and IT is a significant part of it. The pandemic has made digital transformation a necessity to achieve maximum customer and employee engagement and satisfaction, bridge cultural and talent gaps, and promote IT as a valuable business process.
Datadog Notebooks enable your teams to create and manage key reports and documentation as they build out, monitor, and maintain their infrastructure. Notebooks can include both text and graphs of any telemetry data you have collected in Datadog, and they support collaborative editing so that multiple team members can edit and leave comments simultaneously.
