Start off your program by giving some basic information about what participants can expect to learn. Introduce the topic and provide a basic outline of what's to come. Consider adding a questionnaire to ask participants what they hope to take away from the experience, or a quiz to test their understanding before getting started.

Break down your content into manageable steps. Use videos, images, and text to explain your main points, and set clear expectations and goals. You can also include files and audio as additional resources.

Continuous profiling for analysis of CPU, memory usage over time, and down to the line number. Saving infrastructure cost, improving performance, and increasing reliability.

Parca is an open-source, infrastructure-wide continuous profiling tool. It collects and analyzes profiling data from across your infrastructure to help you identify and improve performance bottlenecks. Parca can be used to profile a wide range of systems, including applications, databases, and infrastructure components. Parca's key features include: Continuous profiling: Parca collects profiling data continuously, so you can always see how your systems are performing. Infrastructure-wide visibility: Parca collects profiling data from across your entire infrastructure, giving you a holistic view of performance. Powerful query engine: Parca's query engine allows you to easily analyze profiling data and identify performance bottlenecks. Flexible deployment options: Parca can be deployed on-premises, in the cloud, or as a hybrid solution. Here are some of the benefits of using Parca: Improved performance: Parca can help you identify and fix performance bottlenecks, resulting in faster and more responsive systems. Reduced costs: Parca can help you reduce infrastructure costs by identifying and eliminating unused or underutilized resources. Increased reliability: Parca can help you improve the reliability of your systems by identifying and fixing potential performance problems before they cause outages. Parca is a powerful tool that can help you improve the performance, reliability, and cost-effectiveness of your systems. It is used by a variety of companies, including Google, Netflix, and Spotify. Examples of how Parca can be used include: Identifying hot paths in your application code: Parca can help you identify the most frequently executed code paths in your application, so you can prioritize optimization efforts. Detecting performance regressions: Parca can help you detect performance regressions after deploying new code or infrastructure changes. Troubleshooting production performance issues: Parca can help you troubleshoot production performance issues by providing detailed profiling data. Optimizing your infrastructure: Parca can help you optimize your infrastructure by identifying unused or underutilized resources. If you are looking for a powerful tool to help you improve the performance, reliability, and cost-effectiveness of your systems, Parca is a great option to consider.

Spin is an open source framework for building and running fast, secure, and composable cloud microservices with WebAssembly. It aims to be the easiest way to get started with WebAssembly microservices, and takes advantage of the latest developments in the WebAssembly component model and Wasmtime runtime. Spin offers a simple CLI that helps you create, distribute, and execute applications, and in the next sections we will learn more about Spin applications and how to get started.

Start off your program by giving some basic information about what participants can expect to learn. Introduce the topic and provide a basic outline of what's to come. Consider adding a questionnaire to ask participants what they hope to take away from the experience, or a quiz to test their understanding before getting started.