Welcome back to our monthly product updates - SigNal! The latest release of SigNoz is now available with Logs management. You can use SigNoz as your one-stop open source observability solution with logs, metrics, and traces under a single pane of glass. We also participated in podcasts, held office hours, and got featured as one of the top promising startups in the DevOps ecosystem. Let’s see what humans at SigNoz were up to in the month of August 2022!

N+1 query problem is a problem in database retrieval where the related entities of an object are queried individually from a database, leading to O(n) queries where n is the number of related entities of the object. Mouthful of words, I agree 🙂 Let’s take an example to illustrate what it means.

Pranay, one of the the co-founders at SigNoz, was recently invited as a guest speaker by Jonah Kowall, CTO at Logz.io on his OpenObservability Podcast. In the podcast, Pranay talks about the mission behind SigNoz - unifying traces, metrics, and logs in a single platform and interface. He also shared anecdotes about the evolution of SigNoz since its inception, the community adoption, and its contribution to SigNoz.

Distributed tracing has become critical for application performance monitoring in microservice-based architecture. Jaeger is a popular open-source tool used for distributed tracing. With distributed tracing, engineering teams get a central overview of how user requests perform across multiple services.

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.

OpenTelemetry is a collection of APIs, SDKs, and libraries that provide an open source observability framework for instrumenting, generating, collecting, and exporting telemetry data like metrics, traces, and logs. It is incubated under Cloud Native Computing Foundation (CNCF), the same foundation which incubated Kubernetes. OpenTelemetry is quietly becoming the world standard for instrumenting cloud-native applications.

Modern digital businesses have adopted cloud technology and distributed architectures to enable on-demand scaling of resources. Containerization technologies like Kubernetes and Docker have made it possible to handle customer demands at scale. However, orchestrating a complex microservices architecture with Kubernetes is challenging. Monitoring your Kubernetes cluster can give you insights to better manage your cluster.

Welcome back to our monthly product updates - SigNal! Our team shipped some major upgrades to SigNoz last month. We’re elated to share that SigNoz is now available with log management. It’s a major milestone in our journey of democratizing observability for developer teams of all sizes. We also shipped an intuitive alerts builder, attended conferences, and played new games in our Friday chit-chats 🥳 A lot of new open source contributors also helped us in making SigNoz better.

Monitoring tools are only as good as the range and visibility they offer admins into applications’ performance. Prometheus is a metrics monitoring tool that provides a pull-based system to collect and monitor time-series samples. Once the data is collected and stored, you can use Prometheus Queries to interact with the data: select and aggregate across the provided dimensions. This article takes the reader from concept to content state about the Prometheus Query language.

In this guide, we will discuss the different aspects of MongoDB performance monitoring. MongoDB provides a set of tools and command-line utilities to monitor MongoDB instances. But first, you need to know what metrics should be monitored. Once you understand the performance metrics, you can create workflows and processes to keep a check on your MongoDB cluster’s health and performance.