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Tracing

The latest News and Information on Distributed Tracing and related technologies.

OpenTelemetry Collector - architecture and configuration guide

OpenTelemetry Collector is a stand-alone service provided by OpenTelemetry. It can be used as a telemetry-processing system with a lot of flexible configurations to collect and manage telemetry data. Let's do a deep dive on OpenTelemetry Collectors to understand how it works. The first step in setting up observability with OpenTelemetry is instrumentation. The application code is instrumented with OpenTelemetry client libraries that help generate telemetry data like logs, metrics, and traces.

Accelerate TraceQL queries at scale with dedicated attribute columns in Grafana Tempo

With Grafana Tempo 2.3, we introduced a new storage format (vParquet3), which enabled an exciting new feature (dedicated attribute columns) that focused on the read path. Dedicated attribute columns offer a wide range of benefits primarily centered around query performance and memory usage. These columns can improve read speed across most queries, and they can have a major impact on resource utilization.

OTel Applications on Retrace

We are excited to inform you that Open Telemetry is now available for you with the introduction of “Netreo OTel Appliance”. With the OTel Appliance, cloud-native services like AWS Lambda, AWS ECS, AWS EKS, Azure Functions, Azure App Services, Azure Container Instances, and Azure Kubernetes Services can be monitored and you see application traces and logs in Retrace UI (s1.stackify.com). The applications hosted in the cloud Serverless and containers can be monitored without running the Retrace agent within the instance itself.

Decoding PostgreSQL Monitoring | 101 Guide

Monitoring PostgreSQL for performance issues is critical. PostgreSQL is a powerful open-source relational database system that stands out for its robustness, scalability, and strong emphasis on extensibility and standards compliance. In this guide on PostgreSQL monitoring, we will cover key PostgreSQL metrics that should be monitored, best practices for monitoring PostgreSQL and some tools with which you can set up PostgreSQL monitoring.

A Basic Introduction to OpenTelemetry Python

Think of a tool that simplifies application monitoring and helps developers and staff trace, collect logs and measure performance metrics. That is what OpenTelemetry Python provides. OpenTelemetry (OTel) Python acts as a guiding light, offering insights into the behaviors and interactions of complex, distributed systems and enabling a deeper understanding of performance bottlenecks and system dependencies. The significance of OTel lies in its pivotal role in modern software development.

What are Cloudwatch Metrics? How to implement Custom Metrics in Cloudwatch?

CloudWatch metrics play a critical role in monitoring AWS resources and facilitating effective troubleshooting during system failures. It allows for continuous monitoring of AWS resources like EC2 instances, Lambda functions, and RDS databases. Using Cloudwatch metrics, DevOps teams can monitor and manage their AWS infrastructure easily. Amazon CloudWatch is a comprehensive monitoring and observability service provided by Amazon Web Services (AWS).

OpenTelemetry VS Prometheus: The Essential Guide

OpenTelemetry vs Prometheus is a commonly searched and debated topic in the Observability and monitoring space. While both platforms are widely used in software and infrastructure management today, most people don’t understand the difference between the two. Both platforms stand as robust tools in the realm of observability, each offering unique capabilities. OpenTelemetry offers a uniform approach for gathering, instrumenting, and exporting telemetry data.

11 Top MongoDB Monitoring Tools; Free & Open-Source [2024]

Are you looking for MongoDB monitoring tools? Then you’re at the right place. MongoDB is one of the most popular and powerful NoSQL databases out there. The fact that it’s a document-based database makes it blazing fast. With all the features that MongoDB comes with, you need to keep an eye on your MongoDB's health and performance - especially as it directly deals with your data. There are many monitoring tools out there, and choosing the right one can be confusing.