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Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

How to monitor MongoDB with OpenTelemetry

MongoDB is a document-oriented and cross-platform database that maintains its documents in the binary encoded JSON format. Mongo’s replication capabilities and horizontal capability using sharding make MongoDB highly available. An effective monitoring solution can make it easier for you to identify issues with MongoDB such as resource availability, execution slowdowns, and scalability. observIQ recently built and contributed a MongoDB metric receiver to the OpenTelemetry contrib repo.

How Elastic powers speed, security, and connectivity in capital markets

Speed is everything in capital markets. Success in the front and back office is dependent on the ability to provide accurate, fast responses to challenging questions. Over the past several decades, there has been a tremendous increase in the amount of information available to market participants, and trade transactions are now being carried out at a very rapid pace. In parallel, the technology which capital markets firms are developing is becoming increasingly complex.

AWS Service Observability using OpenTelemetry

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.

Application logging with Flask

Without logs, or a good understanding of them, debugging an application or looking through an error stack trace can be challenging. Luckily, Flask logging can change the way you understand debugging and how you interact with logs produced by the application. The Flask logging module gives you a way to record errors over different severity levels. A default logging module is included in the Python standard library, and it provides both simple and advanced logging functions.