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In addition to being able to automate the process of building and deploying the Android and iOS version (without needing an Apple computer), he tries to do this without the need for code. It performs a list of pre-defined, configurable "steps", which are able to fully deploy apps and other projects. This service increases our productivity and makes our lives easier.

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Bitrise

Blockchain was born as a highly safe way for saving information through decentralization. Bitcoin was what defined and utilized blockchain for the first time in 2008, looking to allow a direct transaction between two people, without the need for a middleman. Since then many other technologies based on blockchain came to life, not only for money exchanges, but for smart contracts, intelectual property, asset tracking, distributed processing and continuous listings. Blockchain is seen as something as revolutionary as the creation of the internet.

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Blockchain

CircleCI is a tool focused in continuous integration, helping in rapidly turning a newly developed piece of code into an update for an online product.
In the process of Continuous Integration (CI) one can setup automated test, image building, as well as deploying a whole the system itself, without the need of a human interacting with it.
CircleCI offers a friendly and flexible interface to help you implement such processes.

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Circle CI

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CircleCI

Working with Cypress really increases our performance. It automates the end-to-end testing process, and can include complete interface validation (if necessary) in the test flow. It works both via the interface (GUI) and through the CLI, then performs all tests directly in the project continuous integration process.

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Cypress

Docker is a tool that allows wrapping a system and it's dependencies, in all levels, inside a highly portable container. For development, Docker helps multiple teams have access to the same environment. That includes the Linux distribution, system packages, servers and databases. For the production environment, Docker allows having the project run the exact same way it did on the development machine, no matter where it gets deployed, with the same dependencies and packages. That means that "there" it will run the same as "here", saving lots of time and reducing failures.

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Docker

Elastic Search is a tool for indexing large amounts of information. It runs analysis and queries incredibly quick, using several strategies for locating and sorting the results. In practice it enhances searching and finding data in any type of system, with any kind of information architecture, making it easier for the user to find what they're really looking for

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Elastic Search

Firebase was born as a tool for serverless development with a focus on it's realtime database. With it it's possible to have an online data store, without the need of a "always online" server, with added synchronizing and offline resources. After being acquired by Google, Firebase gained several extra services such as notifications, noSQL database, performance, analytics and testing tools, cloud functions and more. Today it's a complete solution with a 'pay as you go' plan, that means that the more you use, the more you pay and vice-versa.

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Firebase

Gatsby.js is an open source framework that makes use of Node and React to build blazing fast web-based pages and systems. After receiving some large funding, it caught the world's attention to how it solves the perfomance issue on the web. In general terms, it obtains data from several sources as informed by the developer, persists it into a data layer which then gets used to hydrate and build the pages to be static, making their load times extremely quick. Without a hit to performance it allows integrating with several data sources such as a CMS, Markdown files, APIs and even more complex implementations. Another advantage is needing only server to serve the files it outputs and nothing as robust or as complex as, for example, a PHP application. Since all the processing work is done in the build phase, the browser doesn't need to assemble the page through React as is usual for PWAs.

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Gatsby.js

Google Cloud is Google's cloud computing service, where their infrastructure related systems are available for projects of all scopes in today's standards. It offers from Virtual Machines, load balancers and private networks to file storage, databases and even machine learning. Many of these are charged on a pay-as-you-use program, which makes it scalable and viable for even smaller projects

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Google Cloud Platform

GraphQL is a graph based query language, that offers It gained popularity and adoption for making implementation of queries easier for all kinds of data stores, using the same language. It simplifies by using a single GraphQL endpoint that returns all data types, depending on the query sent along with the request, which gives the frontend a lot of flexibility.

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GraphQL

Heroku is a PaaS (Platform as a Service) that allows for easily making systems available on the web without having to worry about infrastructure or setting up and running a server. That way one can save time and resources since there's no need to worry about maintaining any of the services personally and it's guaranteed to be always online. Aside from the ease of use, Heroku is scalable. It's able to adjust to a higher demand by automatically replicating and balancing the work between it's nodes and instances.

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Heroku

Kubernetes is a docker container orchestration service, that is, it's a technology that allows maintenance to current servers and scaling them up as needed, such as when dealing with increased traffic. Services like Youtube, Slack and Shopify are able to ensure that they're always available and functional no matter how much traffic they have to handle thanks to Kubernetes. It's recommended when the product in question will have to constantly handle a large amount of users or when the traffic fluctuates depending on the time of day. That way it can always have the appropriate amount of servers up, and also save resources on periods of downtime.

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Kubernetes

MongoDB is a document based data store with a focus on storing JSON data. It gained visibility through a moment where alternatives to SQL were being sought after, and gained adoption in important products and companies. Programming-wise it makes storing data in any shape simpler and optimizes the access to the information. It's not meant to take over SQL, necessarily, but being used alongside it can result in a high performance product.

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MongoDB

MySQL is the first choice when thinking about SQL databases for the web, and for good reason. It presents the necessary resources for implementing robust and performant systems by using it's functionalities. It's main advantages are ease of use, scalability and low resource consumption on the hosting server.

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MySQL

Next.js is a Node tool for server side rendering used with React to make web based systems more SEO friendly. For the programmer it mixes the backend and frontend into a single project, making it easier to implement robust and durable solutions. For the final product it keeps all the enhancements offered by React based interfaces with no hit to performance, as well as retaining high indexability for search engines.

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Next.js

Node.Js is a JavaScript runtime for servers and it's currently in plain growth. It's highly performant and scalable, and also has an amazing community behind it. It's build to be event-based, which means it can handle a much higher number of requests than PHP or C# given the same config, and with reduced memory use. This makes it a very economic option for applications that might benefit from being scaled up. Through Node many new development tools have been on the rise, such as Gatsby, Next and React. In 2010 it could be said that PHP was the backend for the internet, currently Node takes that spot as the best implementation option.

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Node.Js

PostgreSQL é uma opção mais robusta ao MySQL, oferecendo recursos extras, que podem ser de grande valor dependendo do projeto. O Postgres é um banco de dados orientado a objeto permitindo que tabelas possam estender outras tabelas e que estruturas mais complexas de dados possam ser trabalhados. Do ponto de vista da programação, oferece melhor suporte a stored procedures além de mais gatilhos (triggers), trazendo mais mais poder para o banco e permitindo maior automatização de tarefas. O ideal é utiliza-lo em projetos maiores, com grande volume de dados ou muito acesso concorrente.

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PostgreSQL

React stood out from the start for being a library that enables the development of very performant web and mobile applications, as well as being easy to use and implement. It's use has been growing every day. It's used widely by big projects like Twitter and Facebook and gets support from many players in the market. It brings the concept of 'componentizing' and of reactive interfaces given state changes, technical details that make React an easy to learn and use tool, that works on systems of any spec.

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React

React native was created on an internal Facebook hackathon in 2013 and released for public use in 2015, and it keeps on growing. It's biggest advantage over native development is the ability to reuse code from Android to iOS since it builds for both platforms given very simple adaptations, which buys a lot of time in development. It's ecosystem is also a big selling point, with an active community that develops new packages and integrations day after day.

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React Native

TypeScript is a typed superset of JavaScript created by Microsoft to bring all of the advantages of object orientation and classes into JavaScript, as well as strongly typed variables. It can be used on any project, be it frontend, backend or for scripts with a palpable increase in cohesion and code correctness through the use of types and formal declarations. For the programmer it brings increased security in the development since the code is constantly being checked to make sure everything fits together nicely and with the proper types. For the final product it ensures a result with less flaws and bugs given that those might have been detected earlier by type checking.