If you're looking for an open-source alternative to AppDynamics, then you're at the right place. SigNoz is a perfect open-source alternative to AppDynamics. SigNoz provides a unified UI for metrics, traces and logs with advanced tagging and filtering capabilities.
This guide is for anyone who is getting started monitoring their application with OpenTelemetry, and is generating unstructured logs. As is well understood at this point, structured logs are ideal for post-hoc incident analysis and broad-range querying of your data. However, it’s not always feasible to implement highly structured logging at the code level.
With SigNoz, you get some parsing automatically to identify details like timestamp, container ID, container name, and an optional body. But it’s possible to go much deeper with a relatively simple configuration. It’s also a good idea to check for attributes that may contain Personal Identifying Information (PII) and remove them with filters. Since the SigNoz collector is a fork of the OpenTelemetry collector, this tutorial will also work for configuring a baseline OpenTelemetry collector.
Join Nočnica Mellifera and Pranay as they discuss architecting and collecting data with the OpenTelemetry Collector. We discuss using Apache Kafka queues to handle OTLP data, and why you probably shouldn't push OTel data straight to Postgres.
Below is the recording and an edited transcript of the conversation.
Tune in to learn more about OpenTelemetry Collector processors and how you can use them effectively in SigNoz with Pranay, one of the the co-founders at SigNoz , and Nočnica Mellifera
Below is the recording and an edited transcript of the conversation.
The team at SigNoz would like to share recent developments released this month that greatly enhance the ability to dynamically query your trace and log data. With these tools anyone can explore complex OpenTelemetry data and gain insight into their stack.
In a recent conversation on our SigNoz community Slack, a user shared their query that asks a deceptively simple question: what is the average time between two spans in a trace?
The usefulness of this answer is evident if you think about how often the total trace time does not highlight the time you care about most. This could mean any number of things: that the total trace time of handling a web request might include lots of spans after a satisfying response was sent to the user. Or the time to handle a critical transaction might happen inside a larger trace.
Prometheus and InfluxDB are open-source projects created to make application performance monitoring a breeze. That is, of course, if you choose the option that covers your entire observability scope.
In this article, we will implement distributed tracing for a Golang application with three microservices. To implement distributed tracing, we will be using open-source solutions - SigNoz and OpenTelemetry, so you can easily follow the tutorial.
OpenTelemetry can be used to trace Gin applications for performance issues and bugs. OpenTelemetry is an open-source project under the Cloud Native Computing Foundation (CNCF) that aims to standardize the generation and collection of telemetry data like logs, metrics, and traces.
"You cannot cross the sea merely by standing and staring at the water.”
Ravindranath Tagore
Welcome to the 27th edition of our monthly product newsletter - SigNal 27! Our team shipped the much anticipated Trace and Logs Explorer. With the new Trace Explorer page, SigNoz is the most powerful open-source distributed trace product out there.