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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Introducing CartShark

Ecommerce websites are more vulnerable than ever to cyberattacks. Among these threats, web-skimming attacks – also known as data exfiltration or Magecart attacks – stand as the number one threat, targeting sensitive customer data and payment information. RapidSpike is proud to introduce CartShark, a revolutionary cybersecurity platform that empowers ecommerce businesses to combat these threats swiftly and effectively.

How to perform a ping check with Grafana Cloud Synthetic Monitoring

Synthetic monitoring is a critical practice to proactively track the health and performance of web applications. By simulating user interactions, this approach helps developers identify issues before they impact real users. One of the simplest forms of synthetic monitoring is known as a ping check, which verifies whether an endpoint is reachable. In this blog post, we’ll take a closer look at what a ping check is, and then walk through how to perform one using Grafana Cloud Synthetic Monitoring.

How to Monitor Azure Cloud Services with Grafana Cloud | Demo | Observability | Grafana Labs

Microsoft Azure Cloud monitoring has never been more streamlined! In this video, Vasil Kaftandzhiev, Product Manager for Cloud Provider Observability in Grafana Cloud, walks you through how easy it is to monitor Azure Cloud Services with Grafana. With out-of-the-box dashboards, you can instantly visualize key metrics for essential Azure services like: API Gateway Queue Storage Virtual Machines Log Storage Events Hub Network Load Balancers SQL.

HTTP Caching Headers: The Complete Guide to Faster Websites

The fastest website is the website that is already loaded, and that’s exactly what HTTP caching delivers. HTTP caching is a powerful technique that lets web browsers reuse previously loaded resources like pages, images, JavaScript, and CSS without downloading them again. Understanding HTTP caching headers is essential for web performance optimization, but misconfiguration can cause big performance problems.

Optimized IBM Power Systems Monitoring

Monitoring IBM Power Systems requires a robust, efficient, and proactive approach. With the release of NiCE HMC VIOS Management Pack v1.1, IT teams gain access to advanced monitoring capabilities designed to improve visibility, optimize performance, and ensure seamless operations within Microsoft SCOM.

Lakehouse Demo

Cribl Lakehouse is the first lakehouse built for the unpredictable nature of telemetry data. Unlike traditional solutions for structured data, it eliminates schema complexity and manual transformation while delivering elastic scalability, automated, ​​cost-optimized tiered storage, and federated queries across diverse datasets. IT and security teams can effortlessly store and analyze massive volumes of evolving telemetry data in real time—without data engineering expertise—unlocking the full value of their data with a unified, management experience.

Enhancing Jenkins performance: Resource optimization for high-traffic workloads

Jenkins is the backbone of many CI/CD pipelines, automating builds, tests, and deployments at scale. However, when handling high-traffic workloads, such as during peak development hours, large-scale deployments, or parallel builds and pipelines, Jenkins can quickly become a resource hog, leading to slow builds, queue backlogs, and even system crashes. Optimizing resource usage is essential to ensure smooth, efficient, and scalable performance.

Monitor Microsoft Azure in Grafana Cloud: simplify and centralize your cloud provider observability

Organizations around the world use Microsoft Azure to power their businesses. The cloud computing platform includes hundreds of products and services organizations can use to build and manage applications, but monitoring those environments can often feel like navigating a maze of fragmented data, tools, and processes.

OpenTelemetry Metrics Explained: A Guide for Engineers

OpenTelemetry (often abbreviated as OTel) is the golden standard observability framework, allowing users to collect, process, and export telemetry data from their systems. OpenTelemetry’s framework is organized into distinct signals, each offering an aspect of observability. Among these signals, OpenTelemetry metrics are crucial in helping engineers understand their systems.