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Have you ever looked at clouds with a friend and seen patterns, shapes, and animals that they just can’t make out? The images appear so obviously to you but no matter how hard you try to show them, your friend sees an entirely different shape, or perhaps nothing at all. Building product features can be a similar exercise in frustration. As designers and builders, sometimes we see our own “cloud shapes” in the product.
Like any online service, your API users expect high availability and good performance. This also means one customer should not be able to starve another customer’s access to your API. Adding rate limiting is a defensive measure which can protect your API from being overwhelmed with requests and improve general availability. Similarly, adding quota management also ensures customers stay within their contract terms and obligations ensuring you’re able to monetize your API.
In previous posts, we covered the basics of a C++ Microservices deployment including: With those basics in place, this blog will focus on optimization of the container in a C++ Microservices deployment. We'll examine how to structure the Dockerfile and the resulting Docker image to reduce the number of layers and disk space used.
Optimizing server performance is important in supporting end-user requirements. Using server optimization, actively monitor: Web server monitoring and optimization helps you to troubleshoot bottlenecks as they emerge and optimize server performance. In this post, we will discuss how to optimize performance and why it is important.
Heroku is a powerful PaaS that helps developers easily and quickly launch and scale modern applications. In addition to its base features, it also offers Heroku Elements Marketplace, which has add-ons for expanding the functionality of the base platform. While Heroku has built-in logging for your applications in this platform, you may find that the default interface leaves something to be desired.