A selection of the top articles and videos from the last week on SystemsDigest.com. Don't forget to check back regularly for daily updates from around the globe.
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A version/environment manager is essential if you work with different Node.js versions—but which should you use? Ayooluwa Isaiah investigates the competing options.
Today, data drives everything from strategic business decisions to workout plans. As a result, analytics, visualization, and dashboards are becoming necessary in business software, online websites, and consumer apps. With people needing quick access to data for better insights and decisions, embedded analytics has become inevitable in our work. Unlike traditional analytics software, embedded analytics platform puts information and data in the applications people use every day, rather than in a separate application. It also offers data-rich insights that drive more intelligent business decisions.
Here at Ably one of our most recent additions has been to introduce beta support for Unity within our.NET SDK. This has been exciting for us: multiplayer functionalities are at the core of so many games these days, and we’re keen to better support and enable developers in creating these amazing experiences.
Application programming interfaces (APIs) have quickly become vital to modern businesses. APIs work by allowing different systems to talk to each other and share data. The commercial use of APIs and web APIs has skyrocketed over the last decades in accordance with the rise in app development, mobile apps, and e-commerce. However, how do you estimate API development time? Well, API creation and the development time frame will always vary from project to project. However, certain components can be used to estimate API development times. Read on to learn more about the key elements that can help assess the amount of time it will take to develop an API.
A state machine can hold all possible states of something and the allowed transitions between these states. For example, the state machine for a door would have only two states (open and closed) and only two transitions (opening and closing). On the other hand, complex state machines can have several different states with hundreds of transitions between them. In fact, if you look around, you will notice finite state machines surrounding you — when you buy from a website, get a pack of crisps from the vending machine, or even just withdraw money from an ATM.
The majority of React applications incorporate some form of data visualization. This is true for all languages, not only React. Some of the most frequent components of mobile and web applications today are charts, graphs, and other sorts of visual representations of data. JavaScript frameworks like React offer scalability and adaptability, to name a few advantages. With several libraries and components to supplement the built-in functionality? The vast majority of developers rely on third-party libraries or services.
For many companies, performance is the main reason to go with GraphQL. But is that a valid argument? Often developers compare GraphQL to REST APIs and see the N+1 requests (or over-fetching) as an important reason to go for GraphQL. Let's put that to the test and explore if GraphQL APIs actually can outperform existing REST APIs. For this, we'll take a GraphQL-ized REST API (from JSONPlaceholder) and test the performance of GraphQL and compare it to the REST approach.
Functional testing feels like the bane of one’s existence when things are running on a deadline. No matter the codebase or structure, there’s just so much to do. It also takes a ton of time if you’re doing it manually, and the inefficiency is an atrocity. As one of the final steps before deployment (usually before the non-functional tests start), we have to test everything relating to the functional requirements of the software. That includes a plethora of different methods and approaches. Fortunately, much of the world has moved on to automated functional testing to make the process effortless (still not enjoyable, though).
We all are witnessing the growth and evolution of low-code/no-code platforms. Few might still be confused about what this is all about. Don’t feel intimidated, you are not alone, many people are unfamiliar with these terms. This blog will give a gist of it to understand the current revolution of low-code and no-code platforms/tools. We can see more in detail about the history, features, merits, and demerits and how can you adapt and start using them in your organizations.
Knowing how to deal with APIs to allow communication between software systems is essential if you're a web developer. This article will show you how to develop a CRUD REST API in a Node.js environment using an Express.js server and a PostgreSQL database. We'll go over how to use node-postgres to connect an Express.js server to PostgreSQL. The API will support HTTP request methods that correlate to the PostgreSQL database from which it gets its data. You'll also learn how to install PostgreSQL and use the command-line interface to interact with it.
Kubernetes shouldn’t be reserved for production. Using local Kubernetes in development means you can build and test your service using the same technologies as your live deployments. Some organizations provide a shared Kubernetes cluster for development activities. Others offer on-demand virtual clusters that serve staging environments for significant changes. A major drawback with these approaches is the increased iteration time they incur—developers can get stuck waiting for clusters to start or changes to roll out over the network.
Application programming interfaces (APIs) do a lot of behind-the-scenes work that you might never notice. When you look at the weather forecast on your smartphone, you get updated info because of an API. You rely on APIs when you sign into your email account, get driving directions, and book airplane tickets. Learn more below about how banks use APIs, and how APIs and finance work together in the industry.
Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs. Now he’s one of the world’s foremost experts on wrangling vast data sets and maximizing efficiency. Don’t miss our engaging conversation with Alex Rasmussen, Principal Cloud Economist at The Duckbill Group, where we’ll cover: Want to learn more about using data to solve big problems at scale? Let’s dive in.
Test automation has undergone a steady evolution since its inception. While the process of writing test cases to test the software remains the same, the “how” part keeps changing. Sometimes, we like to perform simple and plain test script development as we did in the 90s using a spreadsheet. Sometimes, we record our test cases and run them through programming languages as we did in the 2010s using Selenium. Lately, we skip the test script part and choose codeless test automation tools to speed things up.
APIs can help you achieve things faster, save you money and enhance your business decisions. If you’re considering using an API program to help scale your business, read on.
Practitioners of data analytics for Ecommerce businesses often focus on its impact on B2C (business-to-consumer) companies. By collecting customer data, for example, B2C companies can improve the customer experience, increase their conversion rates, launch smarter marketing campaigns, attract and retain new customers, and a variety of other benefits. However, B2B (business-to-business) Ecommerce companies can see just as many advantages from smart use of their Ecommerce data for analytics.
Python really needs no introduction, but Google’s search algorithms demand it. Python is essential for its versatility and low barrier of entry for new users. It’s become a vital part of nearly every corner of development, especially in big data and machine learning which may not have progressed to where they are in 2022 without Python’s inception. All the same, debugging Python needs to be efficient. There are a prolific number of development environments and frameworks for Python users, all with their own advantages or particular users in mind. One of those IDEs is PyCharm, part of JetBrain’s arsenal of tools.
If you use the internet frequently, there are very few chances that you have not come across Google Chrome. By this statement, I can easily cover those people who have not even used this browser or their mode of internet surfing is a different one. So, even if I am on Microsoft Edge and I search for a query or open Google’s home page, I am forced just to check out this fantastic browser once: This is a common scenario whether you have Chrome installed or not. Among all the people who have heard about it come the people who use it. Google launched its browser in 2008 to the public. Today, 14 years later, the browser is helping 3.3 billion users (more than WhatsApp) surf the internet around the globe.
The MissingFormatArgumentException is an unchecked exception in Java that occurs when a format specifier does not have a corresponding argument or if an argument index points to an argument that does not exist. Since the MissingFormatArgumentException is thrown at runtime, it does not need to be declared in the throws clause of a method or constructor.
The secret to being a good developer is to write fewer lines of code while accomplishing the task. Thus, shorthand techniques allow you to write a code that is clean and well optimized. To make comparing the javascript shorthand codes and the longhand codes easier, here are some javascript shorthand codes.
As the world undergoes a digital transformation, APIs (Application Programming Interfaces) are becoming increasingly important. An API is a set of rules allowing the software to communicate with others. In other words, APIs act as a bridge between different applications. As a business owner, staying up-to-date on the latest API trends is essential. This article will discuss 11 important API initiatives for the upcoming year.
Never before has data become so prevalent in everything we do. Sorting out the best way to make sense of incoming terabytes of data has turned into an extreme sport. Likewise, it has become a life-or-death decision in every organization, regardless of their level of maturity, to determine an analytics strategy to harness the potential power of all that data without running the risk of overwhelming teams and paralyzing processes. Yet, a perfect solution would be one that not only helps compartmentalize data effectively but also offers the flexibility of adapting to the data itself.
Here are five reasons why you should use Integrate.io for Ecommerce data warehouse integration: Typically, Ecommerce data warehouse integration involves several complex steps that even the most advanced data engineer would struggle to execute. You need to build big data pipelines, cleanse data, make sure that data complies with data governance frameworks, and ensure data doesn't get degraded during the process. It's a challenge!
