![]() Developed by the core Facebook team, CRA has long been the standard when scaffolding out a new React app. So glad you asked! By far the most popular and well-known React boilerplate is create-react-app (CRA). Configuring build tooling and infrastructure certainly falls under that umbrella and unless you absolutely need fine-grained control over every step of configuration, there are solutions you can lean on. But we're strong believers that anything not core to the value of your product should be abstracted away, so that you can focus on what matters - providing real value to your users or audience. The tradeoff is flexibility and we'll touch on ways around this in a moment. They allow you to centralize configuration, patch holes, upgrade and coordinate dependencies and lean on a whole community worth of optimization and improvements across a range of projects by just updating your framework version. React build frameworks abstract away the complexity of build tooling like Webpack and Babel, providing a simple, unified workflow for developers. If you're setting all of that up yourself for every project, you could be saving a lot of time and pulled hair by using a build framework instead. You have transpilation, module bundling, asset management, development servers and more just to get a “Hello World” page off the ground. ![]() It is using JVM runtime environment, so developers can use either Java or Scala to add modules.Modern JavaScript workflows are complicated, especially with frameworks like React. New modules can be added to send the log to API end point or load the configuration file from a DB or API. Developers can add new switching rules and load balancing options easily. It has highly extensible pipeline architecture so that, new modules can be hooked into the pipeline without much work. It can do L7 routing using canonical names, url context and rule based. It is build in Scala language using Netty Server. Neutrino was build keeping the above requirements in mind. Those are the reasons forced eBay to think about developing a SLB in-house. Adding additional load balancing algorithms is also tough in HAProxy. ![]() Extending HAProxy to support these features found to be tough. Reading the configuration from a DB or a API can be achieved through another application, but not optimal. But L7 Switching based on rules, sending log to API end point or adding new load balancing algorithms cannot be satisfied using HAProxy. It can do L4 Switching and L7 Switching using canonical names and url context. It is written in C and has a reputation for being fast and efficient (in terms of processor and memory usage). HAProxy is the most commonly used SLB across the industry. Should be able to run on a Bare Metal, VM or a container.The framework should be extensible to add more algorithms in the future. Load Balancing should support most common algorithms like Least Connection and Round Robin.SLB should be able to read the topology and reconfigure itself Cluster management is automated using eBay PaaS and Network Topology is stored in a DB and can be accessed through API.Should be able to send the traffic logs to API endpoints.Traffic might need to route based on HTTP header, based on authentication header value etc L7 Switching using canonical names and url context.There were two options, either take an open source product like HAProxy or build an in-house one.įrom a high level, SLB has to satisfy following requirements Ebay was looking for options to replace their hardware load balancers which are expensive and unable to keep up with the demand.
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