In the world of smart gardening, keeping track of environmental conditions like humidity, temperature, wind, and soil moisture is key to ensuring your plants thrive. But how do you bring all this data together in an efficient and scalable way? Enter the powerful trio of Kafka, Telegraf, and InfluxDB Cloud v3.

In this tutorial, we’ll explore how Bytewax can seamlessly integrate with InfluxDB to tackle a common challenge: downsampling. Whether you’re dealing with IoT data, DevOps monitoring, or any time series metrics, downsampling (or materialized views) is your key to managing your time series data for long-term storage without losing essential trends. Bytewax is an open source Python framework for building highly scalable dataflows to process any data stream.

After reading this guide, you’ll have a fully functional real-time data intelligence system. We’ll do the full build, including adding a database, without ever having to manage the complexities of the database server.

At AppNeta we talk a lot about network performance, but sometimes a user experience issue lies with the application itself. As network operations teams rarely have full visibility into the applications that drive the business, getting metrics to isolate when the app is the problem is crucial to ensure low mean time to repair (MTTR) and reduce mean time to innocence (MTTI). When it is an app issue, understanding how your web application performs is crucial for ensuring a positive user experience.

Java is a flexible and commonly used programming language known for its platform independence, object-oriented design, and robustness. It was originally developed by Sun Microsystems (now owned by Oracle Corporation) in the mid-1990s and soon gained popularity due to its "Write Once, Run Anywhere" (WORA) principle, allowing developers to write code that can operate on any device or platform with a Java Virtual Machine (JVM).

In the rapidly evolving landscape of software development, the integration of generative AI has become a game-changer for organizations striving to deliver high-quality software at scale. Among its many transformative applications, autonomous debugging stands out as a critical advancement, offering the potential to revolutionize the way development teams tackle errors and maintain operational efficiency.

Netdata now integrates with ilert, a leading incident response platform. With this integration, the incident management features and alerting capabilities of ilert and the real-time systems monitoring provided by Netdata can be leveraged. By combining both systems, users can not only monitor their infrastructure with fine detail as never before, but also assure the responsiveness of critical alerts to the correct teams swiftly.

Effective monitoring is important for maintaining robust and reliable systems. While Prometheus has long been a go-to solution for many organizations, the growing complexity of modern infrastructure has led to an increased demand for prometheus alternatives. This comprehensive guide will explore various monitoring tools that can serve as viable prometheus alternatives, helping you make an informed decision for your specific needs.

We’re excited to announce Vectorize now integrates with Elasticsearch vector database! This powerful combination simplifies building retrieval augmented generation (RAG) pipelines, allowing AI engineers to focus on building applications with unprecedented speed and accuracy. Elasticsearch vector database enables fast and efficient real-time search and retrieval of vector data, making it an excellent database for RAG applications.

OpenTelemetry has quickly become a must-have tool in the DevOps toolkit. It helps us understand how our applications are performing and how our systems are behaving. As more and more organizations move to cloud-native architectures and microservices, it's super important to have great monitoring and tracing in place. OpenTelemetry provides a strong and flexible framework for capturing data that helps DevOps engineers keep our systems running smoothly and efficiently.