Grafana started as a data visualization tool. It slowly evolved into a tool that can take data from multiple data sources for visualization. For observability, Grafana offers the LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). You need to configure and maintain multiple configurations for a full-stack observability setup.
While support for logging in the OpenTelemetry Python project is listed as 'experimental,' it's completely possible to send logs from your Python application. The Opentelemetry Collector has support for numerous existing logging systems, effectively exporting log data from wherever you were sending logs currently; you can also use the filelog receiver to tail and send logs from files. The only 'experimental' portion of the Python SDK is sending logs directly from code-level instrumentation.
Everyone talks about the need for observability, it even comes up in board meetings. But let’s talk about the reasons you shouldn’t add observability to production.
"Trade isn't about goods. Trade is about information. Goods sit in the warehouse until information moves them.”
C. J. Cherryh
OpenTelemetry is the future of Observability, APM, Monitoring, whatever you want to call ‘the process of knowing what our software is doing.’ It’s becoming common knowledge that your time is better spent gaining experience with an open, standardized system for telemetry than closed-source or otherwise proprietary standard. This truth is so universally acknowledged that all the big players in the market have made announcements of how they’re embracing OpenTelemetry. Often these statements mention how ‘open is the future’ et cetera. But how committed are these teams to OpenTelemetry? In this series, we’ll talk about how native OpenTelemetry tools compare to APM products that have adopted OpenTelemetry only partially. In this article, we will explore how, in both New Relic and Datadog, OpenTelemetry data is a ‘second class citizen.’
Amazon CloudWatch is a monitoring and observability service provided by Amazon Web Services (AWS). It allows you to collect, monitor, and analyze data from various AWS resources, applications, and services in real-time.
CloudWatch is a good tool for monitoring AWS, but it gives you limited visibility. You also need a centralized monitoring tool if you’re monitoring things outside of AWS. In this article, we will go through top CloudWatch alternatives that you can use.
Are you looking for a New Relic alternative? Then you have come to the right place. New Relic is a comprehensive observability tool. But it might be too complex for your use case, or you might have been bugged by its complex pricing policies like user seats-based pricing.
Debugging errors in distributed systems can be a challenging task, as it involves tracing the flow of operations across numerous microservices. This complexity often leads to difficulties in pinpointing the root cause of performance issues or errors.
Are you looking for a DataDog alternative? Then you have come to the right place. In this article, we will go through top 9 DataDog alternatives. One of the biggest challenge users face with DataDog is its pricing policies. Its complex SKU-based pricing policy leads to unpredicatble bills.