Compare EdgeWorkers vs. Riemann

Akamai's EdgeWorkers is a serverless computing solution that allows developers to implement custom JavaScript code at the network edge, thereby enhancing user experiences by executing processes closer to where users are located. This method effectively reduces latency by minimizing slow calls to origin servers, which not only boosts performance but also enhances security by relocating sensitive client-side logic closer to the edge. EdgeWorkers caters to a variety of applications, such as AB testing, delivering content based on geolocation, ensuring data protection and privacy compliance, personalizing dynamic websites, managing traffic, and customizing experiences based on device type. Developers can write their JavaScript code and deploy it through various means, including API, command-line interface, or graphical user interface, taking full advantage of Akamai's robust infrastructure that automatically scales to handle increased demand or traffic surges. Additionally, the platform seamlessly integrates with Akamai's EdgeKV, a distributed key-value store, which facilitates the development of data-driven applications with swift data retrieval capabilities. This versatility makes EdgeWorkers an essential tool for modern developers aiming to create responsive and secure web applications.

Riemann effectively compiles events from your servers and applications by utilizing a robust stream processing language. You can automate email notifications for every exception occurring in your application, monitor the latency distribution of your web service, and identify the top processes on any machine based on memory and CPU usage. Additionally, it allows for the aggregation of statistics from all Riak nodes in your cluster, which can then be sent to Graphite for analysis. User activity can be tracked in real-time, with Riemann offering a low-latency, transient shared state ideal for systems characterized by numerous dynamic components. The streams in Riemann are essentially functions designed to accept events, and since its configuration is expressed as a Clojure program, the syntax remains concise, consistent, and adaptable. By employing configuration-as-code, Riemann reduces boilerplate while providing the flexibility needed to handle intricate scenarios. The system can be tailored to deliver as much or as little information as you prefer, whether you need to throttle or consolidate multiple events into a single message. You can receive email alerts regarding exceptions in your code, service outages, or latency spikes, and it also supports integration with PagerDuty for timely SMS or phone notifications. Ultimately, Riemann empowers developers to maintain effective oversight and responsiveness across their applications and infrastructure.