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.
In the not-too-distant past, the debate was between on-prem and cloud-native. You’re now faced with the choice of choosing between the different cloud infrastructure providers, and inevitably, someone will throw in the phrase “vendor lock-in”. And not having a response for the famed “vendor-lockin” sometimes leads to building things that are much more complex than required basis the stage that the product is in. In this one, I’d like to talk to you about how you can break out of the cursed vendor-lockin while using AWS ECS to manage your workloads.
Democratize observability for engineering teams of all sizes!
That’s the vision that drives us every day. SigNoz is open source, provides three signals (logs, metrics, and traces) under a single pane, and is OpenTelemetry-native. And it also costs lesser than other popular observability tools.
Welcome to SigNoz office hours! In this series, one of our team members gives a presentation about a topic of their choice. This talk is presented by Srikanth Chekuri, backend engineer at SigNoz. He talks about the following:
Not all industries are the same in terms of the sensitivity of data they handle. And as you mature as a company, you need to be more careful of how you handle your critical data. With the advent of modern cloud native technologies & Kubernetes, on-prem software is more viable now