Flask is a powerful web framework that helps you build great projects using your favorite tools. Flask takes the flexible Python programming language and provides a simple template for web development. Once imported into Python, Flask can be used to save time building web applications. It goes against the flow with the microframework conc...
If you need help building web applications with the Lift framework, this cookbook provides scores of concise, ready-to-use code solutions. You'll find recipes for everything from setting up a coding environment to creating REST web services and deploying your application to production.Built on top of the Scala JVM programming languag...
Managing the state of large-scale web applications is a highly challenging task with the need to align different components, backends, and web workers harmoniously. When it comes to Angular, you can use NgRx, which combines the simplicity of Redux with the reactive programming power of RxJS to build your application architecture, making ...
Equip yourself with the skills required to create modern, progressive web applications that load quickly and efficiently. This fast-paced guide to server-side Angular leads you through an example application that uses Angular Universal to render application pages on the server, rather than the client.You'll learn how to serve your us...
Why choose Erlang for web applications? Discover the answer hands-on by building a simple web service with this book. If you're an experienced web developer who knows basic Erlang, you'll learn how to work with REST, dynamic content, web sockets, and concurrency through several examples. In the process, you'll see first-han...
Neo4j Aura includes AuraDB, the graph database as a service for developers building intelligent applications and AuraDS, the graph data science as a service for data scientists building predictive models and analytics workflows.
Erlang is a functional, compiled, dynamically typed, fault-tolerant and concurrent programming language. Erlang is an exotic language as it addresses concurrency different than mainstream programming languages. While in more common programming languages, such as C or Java, programmers have to use locks and mutexes to write concurrent applications, Erlang uses a message based, shared nothing approach, in which individual threads of execution called processes execute in a concurrent fashion and communicate via message passing. Erlang is used to build massively scalable soft real-time systems with requirements on high availability. Some of its uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance.
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At the same time, don't dynamically download libraries, dependencies, or critical data during application startup. Instead, include these things as static files in the container image. Later on, if you want to change something in the container image, build a new container image with the changes applied to it.
Complete containers hold everything that's needed to run your application, but they don't need to include your build tools. Consider this example. Assume that you're building a container for a Node.js application. You must have the NPM package manager to download packages for your application. However, you no longer need NPM itself when the application runs. You can use a multistage Docker build to solve this.
The first stage uses a full Node.js environment that has NPM, and a compiler for building native code bindings for packages. The second stage includes nothing but the Node.js runtime. It can copy the downloaded NPM packages out of the first stage. The final product is a minimal image that has the Node.js runtime, the NPM packages, and the application code. It doesn't include the full NPM build toolchain.
Keep your container images as small as possible and use shared layers. For example, if you have multiple applications that use the same data set, you can create a shared base image that has that data set. Then, build two different image variants off of the same shared base image. This allows the container image layer with the dataset to be downloaded one time, rather than twice.
The name Erlang, attributed to Bjarne Däcker, has been presumed by those working on the telephony switches (for whom the language was designed) to be a reference to Danish mathematician and engineer Agner Krarup Erlang and a syllabic abbreviation of "Ericsson Language". Erlang was designed with the aim of improving the development of telephony applications. The initial version of Erlang was implemented in Prolog and was influenced by the programming language PLEX used in earlier Ericsson exchanges. By 1988 Erlang had proven that it was suitable for prototyping telephone exchanges, but the Prolog interpreter was far too slow. One group within Ericsson estimated that it would need to be 40 times faster to be suitable for production use. In 1992, work began on the BEAM virtual machine (VM) which compiles Erlang to C using a mix of natively compiled code and threaded code to strike a balance between performance and disk space. According to co-inventor Joe Armstrong, the language went from lab product to real applications following the collapse of the next-generation AXE telephone exchange named AXE-N in 1995. As a result, Erlang was chosen for the next Asynchronous Transfer Mode (ATM) exchange AXD.
Erlang applications are built of very lightweight Erlang processes in the Erlang runtime system. Erlang processes can be seen as "living" objects (object-oriented programming), with data encapsulation and message passing, but capable of changing behavior during runtime. The Erlang runtime system provides strict process isolation between Erlang processes (this includes data and garbage collection, separated individually by each Erlang process) and transparent communication between processes (see Location transparency) on different Erlang nodes (on different hosts).
A typical Erlang application is written in the form of a supervisor tree. This architecture is based on a hierarchy of processes in which the top level process is known as a "supervisor". The supervisor then spawns multiple child processes that act either as workers or more, lower level supervisors. Such hierarchies can exist to arbitrary depths and have proven to provide a highly scalable and fault-tolerant environment within which application functionality can be implemented.
ES The language itself was the biggest part of it. The main advocate here for Scala was working on a Blackberry client at the time, so he had a lot of JVM (Java virtual machine) knowledge and yet also had become frustrated with Java itself. I guess he was just looking for a better way. Another aspect of our thinking had to do with building a distributed system that could take advantage of Akka as an available library. That was a big part of the decision as well.
Node.js does this by executing within its own runtime on the server. A good analogy to draw is the comparison between Node.js and Java, which also runs applications within their own runtime. The Node.js runtime is designed to be lightweight and efficient, with non-blocking I/O and a package manager to make building applications in the Node.js ecosystem even easier.
Node.js is an applicable solution for many different types of use cases. As a primarily server-side framework, Node.js lends itself to applications within the backend side of the technology stack. Below are a few of the instances when Node.js makes sense to use.
Understanding the size of your product is essential for choosing the right technology to build it with. The flexible and efficient nature of Node.js lends itself to building small, fast, and scalable applications. Real-time applications like instant messaging and collaboration tools are one example of this. This, coupled with the fast synchronization abilities of Node.js also make it useful for event-based applications. Examples of these include applications that use WebSockets and WebRTC.
Because of its flexibility, Node.js is very good for building both serverless and microservice-based applications. These design styles are both very popular for saving resources and efficiently managing application lifecycles.
Serverless architecture is popular for its ability to save computing costs by only requiring the resources the application needs to run with no additional overhead. These applications are stateless and lightweight. This makes Node.js integration with serverless architecture a great combination. There are npm packages for serverless design, and building a serverless Node.js application works well with an overall microservice architecture in C2C and B2C use cases when the server load is volatile. 2b1af7f3a8