Efficient use of observability statistics is essential to any microservice architecture. OpenTelemetry is a project supported by the Cloud Native Computing Foundation (CNCF) to enhance the observability of microservice projects. AWS Distro for OpenTelemetry (ADOT) is an AWS-supported distribution of the OpenTelemetry project specifically designed to improve the observability of AWS projects.

Hive smart meters revolutionized the way customers control their energy use. But since their launch in 2012 by UK energy company British Gas, advances in cloud technology and a rapid increase in the number of smart homes has led to an explosion of data.

More often than not, as developers, when we get a report that a large customer is hitting 502 errors, there's a flurry of activity. What's wrong? Is something deeply broken? So you start digging through AWS logs to see what you can find, but it's hard to reproduce. Sometimes, there's no clear answer, and you move on without any resolution. What if I told you it doesn't have to be this way?

The telecom industry is at an inflection point today, where the endless possibilities of 5G meet the growing challenges of accelerating 5G monetization. This is particularly true for telecom providers who have pumped billions of dollars in building 5G networks. The telecom cloud market is expected to cross USD 74 billion by 2026.

New Relic is known for empowering the world’s leading engineering teams to deliver great software performance and reliability. And the network that delivers that service to New Relic’s users plays a critical role. Hiccups in the performance of the network between New Relic’s mission-critical service and their users can create a cascade of problems.

We are excited to share the latest advances around the Deep Learning Toolkit App for Splunk (DLTK). Earlier this year, Splunk’s Machine Learning Toolkit (MLTK) was updated with some important changes. Please refer to the blog post Driving Data Innovation with MLTK v5.3 and the official documentation to learn more about what changes were made and most importantly how they may affect you, especially if you run MLTK models in production.