Operations | Monitoring | ITSM | DevOps | Cloud

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.

Welcome to our monthly product newsletter - SigNal 24! Last month, our team worked on the upcoming trace and logs explorer page. With the new update, our users will be able to drive deeper insights into their application performance quickly. We also attended open source focused meetups and published a cost comparison blog comparing SigNoz with other popular observability tools. Let’s dive in to see what humans at SigNoz were up to in the month of April 2023.

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. We did a cost analysis of SigNoz and compared it with other vendors like DataDog, New Relic, and Grafana.

As the growth lead of an open-source APM tool, I keep interacting with developers from companies of all shapes and sizes. I recently talked with a developer from a fintech startup in India. The startup provides a payment processing platform that enables businesses to accept payments from customers worldwide. For them, monitoring is critical, but the dev shared how limited they were when exploring an APM tool for their application. The reason? Reserve Bank of India.

OpenTelemetry can auto-instrument many common modules for a Javascript application. The telemetry data captured can then be sent to SigNoz for analysis and visualization. OpenTelemetry is a set of tools, APIs, and SDKs used to instrument applications to create and manage telemetry data(Logs, metrics, and traces). For any distributed system based on microservice architecture, it's an operational challenge to solve performance issues quickly.

In this article, learn how to setup application monitoring for Node.js apps with our open-source solution, SigNoz. Node.js tops the list of most widely used frameworks by developers. Powered by Google's V8 javascript engine, its performance is incredible. Ryan Dahl, the creator of Node.js, wanted to create real-time websites with push capability. On Nov 8, 2009, Node.js was first demonstrated by Dahl at the inaugural European JSconf.

Welcome to our monthly product newsletter - SigNal 23! Last month, our team worked on improving the search capabilities across multiple tabs. We also made the logs tab more intuitive by adding color coding in the logs view. We presented SigNoz at an observability-focused meetup and crossed 12,000+ GitHub stars. Let’s dive in to see what humans at SigNoz were up to in the month of March 2023.

In modern microservices-based applications, it is difficult to get an overview of how requests are performing across multiple services, infrastructure, and protocols. As companies began moving to distributed systems, they realized they needed a way to track requests in their entirety for debugging applications. Distributed tracing is a technology that was born out of this need.

In this post, we will show you how to set up Redis monitoring with SigNoz - an open-source full-stack APM. SigNoz captures data using OpenTelemetry, which is becoming the world standard for instrumenting cloud-native applications. Apart from capturing metrics from your Redis server, you can also capture logs and traces with OpenTelemetry.

Cloud has become the de-facto standard for new application development. Kubernetes solves many problems of modern-day cloud infrastructure. It has made microservices-based distributed software systems possible, enabling organizations to provide on-demand scaling. But at the same time, Kubernetes has also increased operational complexity. In simple terms, Kubernetes is a container orchestration tool. Container environments are dynamic and ephemeral.