![]() "The complaint lays out the many anticompetitive strategies from Google that have held our internet ecosystem back." "By suing Google for monopolizing advertising technology, the DOJ today aims at the heart of the internet giant’s power," said Charlotte Slaiman, competition policy director at Public Knowledge. The federal government has said its Big Tech investigations and lawsuits are aimed at leveling the playing field for smaller rivals to a group of powerful companies that includes (AMZN.O), Facebook owner Meta Platforms (META.O) and Apple Inc (AAPL.O). Google, whose advertising business is responsible for about 80% of its revenue, said the government was "doubling down on a flawed argument that would slow innovation, raise advertising fees, and make it harder for thousands of small businesses and publishers to grow." "Google has used anticompetitive, exclusionary, and unlawful means to eliminate or severely diminish any threat to its dominance over digital advertising technologies," the antitrust complaint said. The government said Google should be forced to sell its ad manager suite, tackling a business that generated about 12 percent of Google's revenues in 2021, but also plays a vital role in the search engine and cloud company's overall sales. Justice Department accused Alphabet Inc's (GOOGL.O) Google on Tuesday of abusing its dominance in digital advertising, threatening to dismantle a key business at the heart of one of Silicon Valley's most successful internet companies. Note that you can use any combination of technologies, as long as they are compatible and meet your project and budget requirements.WASHINGTON, Jan 24 (Reuters) - The U.S. NoSQL - MongoDB, CouchDB SQL - Oracle, MySQLįor example, you can build a custom tech stack base like below for an application that has many user interactions, database interactions, and a global presence: Some technologies used for building the front end and back end of an application are: Tech stack components While no technology can guarantee 100% security, always go with technologies that follow a set of best practices to ensure maximum security of data and transactions and minimize vulnerabilities. Lastly, since you know the objective and size of the project/web application you are going to build, you can decide on the complexity of the stack and avoid using technologies and operations that are really not required for your project, and avoid bulky resources. Planning a technology stack ahead means you will already know the resources, infrastructure, automation, hardware, and other project requirements, thus saving both cost and time. Additionally, it becomes easier for developers to communicate about the functioning of the application. You can also pick a specific tech stack to leverage your current team’s expertise. If you choose frameworks and databases that scale well, during the planning phase itself, you will be saved from the horizontal and vertical scaling issues as your user base grows.Īlso, a proper technology stack will help speed up the development process as you can hire full-stack developers or experts in individual technologies. In general, a tech stack can be a frontend tech stack, backend tech stack, or a mix of both-i.e., a full stack.įirstly, you are more likely to build an application that can be used by a large number of people. You can learn more about the MEAN stack in our detailed tutorial.Īnother popular tech stack example is the LAMP, which stands for Linux, Apache, MySQL and PHP. Many full-stack developers find these stacks easy to learn and implement because of the common technology used throughout the stack: JavaScript. ![]() The MEAN and MERN stacks are trending tech stacks for web development. In the above diagram, Node.js is the runtime for the web applications, Angular provides the user interface, Express is a web framework built over Node.js, and MongoDB is the data platform or data stack that has the ability to transform data into a more usable form. You can replace Angular and use React, as in the MERN stack, since React is becoming equally popular, especially for single page web applications. ![]() MEAN stands for MongoDB- Express- Angular- Node.js. One of the most popular and easiest examples of a technology stack is the MEAN stack. ![]()
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