Today, we’re excited to unveil the Anomaly Detection feature. It will enable users to create smarter alerts based on dynamic metrics, moving beyond traditional fixed-threshold alerts. It will soon be available to all our users and is currently undergoing beta testing with select users. By detecting deviations from expected patterns, Anomaly Detection will help you stay informed about critical issues without getting overwhelmed by irrelevant alerts. Let’s dig in deeper.

It’s day 1 of SigNoz Launch Week 2.0, and we’re releasing Ingest Guard, a feature that will help platform and finops teams have granular control over data ingestion and observability costs. At SigNoz, we are constantly evolving to meet the needs of modern engineering teams, and this launch week, we're excited to introduce a highly anticipated feature—Ingest Guard.

Feature flags are crucial in modern software development, allowing teams to safely deploy and test new features. However, the absence of standardization has resulted in fragmentation and vendor lock-in. OpenFeature addresses this by offering an open specification for feature flagging, set to transform how developers manage and implement feature flags across various projects.

As applications grow in complexity, the ability to gather, process, and analyze logs becomes crucial for maintaining system health and troubleshooting issues. Two popular open-source log collectors have emerged as frontrunners in this space: FluentD and FluentBit. But how do you choose between them? This article dives deep into the FluentD vs FluentBit debate, exploring their features, performance, and use cases to help you make an informed decision.

OpenTelemetry can be used to trace React applications for performance issues and bugs. You can trace user requests from your frontend web application to your downstream services. OpenTelemetry is an open-source project under the Cloud Native Computing Foundation (CNCF) that aims to standardize the generation and collection of telemetry data. Using OpenTelemetry Web libraries, you can instrument your React apps to generate tracing data.

Centralizing logs (arranging all records in one place) is often challenging as we need to decide whether to use a log shipper or directly log from the application. If you are not familiar with a log shipper, logging directly from the library might be a suitable option for development (it is easy to configure). However, in production, you'll likely want to use one of the available log shippers, mainly due to buffers, since blocking the application or dropping data (immediately) may not be an option.

Distributed tracing is becoming a critical component of any application's performance monitoring stack. However, setting it up in-house is an arduous task, and that's why many companies prefer outside tools. Jaeger and Zipkin are two popular open-source projects used for end-to-end distributed tracing. Let us explore their key differences in this article.

Microservices architectures have revolutionized software development, enabling scalability and flexibility. However, they also introduce complexities in system monitoring and troubleshooting. Effective logging is crucial for maintaining visibility and diagnosing issues in these distributed environments. This comprehensive guide explores best practices for microservices logging, helping you navigate the challenges and implement robust logging strategies.

Elasticsearch is primarily a search engine optimized for fast, complex search queries, especially text searches, and is often used for log and event data analysis. MongoDB, on the other hand, is a general-purpose, document-oriented database that excels in storing and retrieving structured and semi-structured data. It is commonly used for mobile, social, and IoT applications. While Elasticsearch provides superior search capabilities, MongoDB offers more robust data processing and storage features.

Cloud infrastructure provides the hardware and software components that power cloud computing. It allows you to focus on your business logic instead of managing physical resources. In this article, you'll learn about cloud infrastructure, its benefits, and core components. You'll also explore delivery and deployment models that cater to different business needs, and discover how SigNoz can help you monitor and optimize your cloud infrastructure.