Troubleshooting Slow Frames
Philipp Hofmann (Software Engineer @Sentry) shows how developers can troubleshoot Slow Frames in their mobile applications.
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What are Mobile Vitals?
Philipp Hofmann (Software Engineer @Sentry) talks through 4 metrics every mobile developer should monitor to understand how their applications are performing.
Common Ways to Monitor Mobile Applications
Philipp Hofmann (Software Engineer @Sentry) shares common ways developers can monitor their mobile applications.
Auto-instrumenting Transactions & Troubleshooting a Frozen Frame
Philipp Hofmann (Software Engineer @Sentry) shows how to auto-instrument transactions in your mobile applications and troubleshoots a Frozen Frame.
Building a frictionless Azure support workflow
In this webinar snippet, Michael Stephenson, Microsoft Azure MVP highlights Serverless360 capabilities to address the business challenges and empower the Microsoft Azure support team.
Tutorial: Set up an AWS CloudTrail Source
This tutorial explains to first-time users how to set up an AWSCloudTrail source quickly and easily, so that they can then install the AWSCloudTrail app with confidence.
Benefits of switching to Civo Kubernetes - Keptn case study
Find out how Keptn makes use of Civo’s simplicity and speed from Juergen and how it helps them in their day-to-day cloud native development.
Logging USB Storage with Graylog
Learn all about logging USB storage with Graylog with Jeff.
Monitoring compute infrastructure with the Cloud Ops Agent
How can you improve observability for workloads that use compute infrastructure directly and run on Google Compute Engine instances? In this episode of Engineering for Reliability, we show how you can use the Cloud Operations agent to do just that. Watch to learn about the Cloud Operations Agent, how to install it manually and automatically, and how to use the data it collects to improve the reliability of your services - and keep your users happy!
Face Detection using Robotic Data Automation(RDA) in 4 mins
Perform real-time face detection through a webcam/recorded video using Robotic Data Automation(RDA) in 4 mins. This method is so quick that we can start getting real-time reports on the faces of every person/object in the video without much performance overhead. The best part is it's a low code tool. Intriguing enough?