Software applications have become crucial for business growth and success in today's world. However, as businesses become increasingly competitive, the necessity to provide top-notch software applications is also increasing. Additionally, as organisations gravitate towards developing extensive, feature-rich applications, they are witnessing an increase in software complexity – that can often cause things to get out of hand very quickly.

When evaluating a monitoring product, it is essential you fully understand its alerting capabilities. Alerting is a responsive action triggered by a change in conditions within the system being monitored. Typically, an alert can be defined by a condition to trigger the alert and an action defining what that alert should do when the trigger condition occurs.

You’ve spoken and we’ve listened and as a result, the highly anticipated Slack integration for Raygun Alerting is here! Once integrated with Slack, you’ll receive customized error, crash, and performance alert notifications directly to the channel of your choosing. Reduce your Mean Time to Resolution (MTTR) and resolve issues in your code before your customers even notice.

One of the most requested features for Crash Reporting has been the ability to perform a search across all of your applications rather than by one application at a time (the default behavior). It’s not hard to see why it’s a popular feature request - rather than manually performing the same search across many applications, it would be super handy to perform one search and understand the impact of the search results across all of your applications immediately.

Azure Advisor analyzes your configurations and usage telemetry and offers personalized, actionable recommendations to help you optimize your Azure resources for reliability, security, operational excellence, performance, and cost. Azure Advisor is a free service and can be accessed via the GUI on the Azure portal where recommendations are collated and can be manually examined. Azure Advisor makes recommendations for potential improvements in several areas, including.

Today’s cloud environments rely on microservices, service meshes, containers, and orchestration tools and are too complex for traditional tools to measure and monitor performance metrics effectively. The number of interdependent services—and the inherently ephemeral nature of cloud workloads—make it challenging to identify which metrics to monitor and issues to troubleshoot down to the root cause.

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.

Virtual desktop infrastructure (VDI) is a technology that refers to the use of virtual machines to provide and manage virtual desktops. Users access virtual desktops from their laptops, desktops, thin clients, or mobile devices from anywhere. Virtual desktops are hosted in a data center, on servers, and all the necessary processing is done on the server that hosts the virtual desktops.

Among the 200+ fully features services that Amazon Web Services (AWS) offers, Elastic Compute Cloud (EC2) is the most popular. In the recent eG Innovations and DevOps Institute survey of 900+ IT professionals, cloud instances were the most commonly used cloud service, with 63% usage among respondents.