PerfAgents

🚀 We've launched a dedicated log page for monitoring executions! With this upgrade, troubleshooting issues has never been simpler. Quickly pinpoint and resolve problems to keep your applications running smoothly.

What is OpenTelemetry? 🔭 OpenTelemetry is an Observability Framework 🔭 OpenTelemetry is a toolkit to create and manage telemetry data such as traces, metrics, and logs 🔭 OpenTelemetry is a Cloud Native Computing Foundation (CNCF) open-source project 🔭 OpenTelemetry is Vendor Agnostic 🔭 OpenTelemetry is Tool Agnostic 🔭 OpenTelemetry can be used with Observability Backends like Jaeger and Prometheus 🔭 OpenTelemetry can also be used with Commercial Offerings ➡ You can instrument your applications to track requests as they flow across different microservices, giving you valuable insights into performance and behavior. ➡ In simple terms, OpenTelemetry is like a super-smart tracker for your software (to know the internals). ➡ It helps developers understand what their software is doing while it's running (like more of in production). ➡ It monitors how fast your code is running, how much memory it uses, and whether errors are popping up. It's a handy tool for ensuring everything works smoothly behind the scenes. OpenTelemetry is vendor-neutral, so you're not locked into one tracing solution. You can choose from various backends, including Datadog, New Relic, and Splunk SaaS offerings. Some companies, like Google (Dapper) and Meta (Canopy), have also developed their tracing frameworks. However, OpenTelemetry offers a more standardized approach that can benefit organizations that want to avoid vendor lock-in. In short, ⚡ Telemetry helps answer --> "the HOW" part ⚡ Monitoring helps answer --> "the WHAT went right or wrong in the PRESENT/PAST" part. ⚡ ⚡ Telemetry and Monitoring combined can predict the FUTURE state of your applications! #opentelemetry #monitoring

Let's dive into the What, Why, and How of synthetic monitoring. ❓ What is Synthetic Monitoring? Synthetic Monitoring involves simulating user interactions with software systems to proactively monitor performance and functionality. ❓ Why is Synthetic Monitoring Essential? Synthetic Monitoring is crucial for assessing the performance and availability of software systems, ensuring they meet user expectations and service level agreements (SLAs). ❓ How is Synthetic Monitoring Implemented? Script Creation: A developer writes scripts to mimic user actions. Script Execution: These scripts are run automatically at specified intervals. Data Collection: The execution generates performance metrics. Data Analysis: Metrics are analyzed to verify if the system meets its performance and availability targets. Alerting: Alerts are generated if the system falls short of its targets. 🔍 What Frameworks are Ideal for Synthetic Monitoring? Industry-standard frameworks include: Selenium Playwright Puppeteer Cypress.io 🔍 Supported Programming Languages: These frameworks support various languages, including: Python JavaScript TypeScript Java and many more. 🔍 Running Scripts Globally: To run your simulation scripts from various locations worldwide, a robust synthetic monitoring infrastructure is required. 🔍 Available Infrastructures: Numerous synthetic monitoring tools are available, but most lack comprehensive support for the above frameworks. However, PerfAgents Uncloud stands out by integrating all these frameworks with advanced AI capabilities. #syntheticmonitoring #aiobservability #devops #cypress #playwright #selenium #puppeteer