👋 Hello everyone!
I’m excited to announce the second part of our Grafana LGTM Stack course, where we’ll focus on leveraging the Grafana Agent to enhance our logging capabilities! 🌟
In this episode, we will:
Install the Grafana Agent kubernetes operator, which will serve as our log collector.
Configure the agent to gather logs from our pods and send them directly to Loki, allowing us to efficiently manage our application logs.
Once the logs are flowing into Loki, we’ll visualize them in Grafana, enabling powerful insights into our application’s performance and behavior.
We’ll also dive into how to utilize Grafana Agent's pipeline stages to add meaningful labels to log lines, making our logging even more insightful and actionable.
Ready to elevate your observability game? Dive into this exciting journey with us! 🚀
https://youtu.be/7NZd5DyFFp0?si=tP6FWoK8CY2J0jbR
#GrafanaLGTM #GrafanaAgent #Loki #DevOps #Kubernetes #Logging #Observability #OpenSource
I’m excited to announce the second part of our Grafana LGTM Stack course, where we’ll focus on leveraging the Grafana Agent to enhance our logging capabilities! 🌟
In this episode, we will:
Install the Grafana Agent kubernetes operator, which will serve as our log collector.
Configure the agent to gather logs from our pods and send them directly to Loki, allowing us to efficiently manage our application logs.
Once the logs are flowing into Loki, we’ll visualize them in Grafana, enabling powerful insights into our application’s performance and behavior.
We’ll also dive into how to utilize Grafana Agent's pipeline stages to add meaningful labels to log lines, making our logging even more insightful and actionable.
Ready to elevate your observability game? Dive into this exciting journey with us! 🚀
https://youtu.be/7NZd5DyFFp0?si=tP6FWoK8CY2J0jbR
#GrafanaLGTM #GrafanaAgent #Loki #DevOps #Kubernetes #Logging #Observability #OpenSource
YouTube
Part2: Enhancing Application Logs with Grafana Agent Pipeline Stages
Hello everyone. In the second part of the Grafana LGTM Stack course, we will start by installing Grafana as a visualization tool on a Kubernetes cluster and add the Loki data source to Grafana via code, allowing us to access our application logs directly…
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🚀 The Final Episode of the Grafana LGTM Stack Course is Here! 🎉
In the eighth and final part of our course, we dive into Grafana Alloy and explore how to leverage its powerful components, integrating Tempo for comprehensive tracing. Here's what you'll learn:
How to receive traces from our deployed application via OpenTelemetry and send them directly to Tempo, the tracing backend that ties everything together.
How to enhance resource attributes of each span with new metadata using Grafana Alloy, ensuring rich trace information in Tempo.
How to generate metrics from spans to get detailed insights into your application's performance and flow, all within Tempo.
Hands-on with NodeGraph and ServiceGraph to visualize relationships between services and spans, making it easy to explore traces in Tempo.
Plus, we’ll link trace data to logs to provide a full picture of your system’s health in Tempo.
This episode is packed with insights and is a must-watch! 🔥
✨ A big THANK YOU to all of you who have joined this journey through the Grafana LGTM Stack course. Your support and engagement have meant a lot to me! 💙
https://youtu.be/uxRrRZ0PTcs?si=QbK_Q7w-OkpgSIEu
#Grafana #Tempo #Tracing #OpenTelemetry #ServiceGraph #NodeGraph #Metrics #Logging #DevOps #TechTraining #GrafanaLGTM #LearningJourney
In the eighth and final part of our course, we dive into Grafana Alloy and explore how to leverage its powerful components, integrating Tempo for comprehensive tracing. Here's what you'll learn:
How to receive traces from our deployed application via OpenTelemetry and send them directly to Tempo, the tracing backend that ties everything together.
How to enhance resource attributes of each span with new metadata using Grafana Alloy, ensuring rich trace information in Tempo.
How to generate metrics from spans to get detailed insights into your application's performance and flow, all within Tempo.
Hands-on with NodeGraph and ServiceGraph to visualize relationships between services and spans, making it easy to explore traces in Tempo.
Plus, we’ll link trace data to logs to provide a full picture of your system’s health in Tempo.
This episode is packed with insights and is a must-watch! 🔥
✨ A big THANK YOU to all of you who have joined this journey through the Grafana LGTM Stack course. Your support and engagement have meant a lot to me! 💙
https://youtu.be/uxRrRZ0PTcs?si=QbK_Q7w-OkpgSIEu
#Grafana #Tempo #Tracing #OpenTelemetry #ServiceGraph #NodeGraph #Metrics #Logging #DevOps #TechTraining #GrafanaLGTM #LearningJourney
YouTube
part8: Writing Traces to Tempo with Grafana Alloy
Hello everyone. In the eighth part of the Grafana LGTM Stack course, we will first focus on Grafana Alloy and use its components to receive traces from the application we deployed via OpenTelemetry and send them to the tracing backend, which is Tempo. We…
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