DEV Community: Ricardo Maia

Optimizing Component Performance in React

Ricardo Maia — Wed, 02 Oct 2024 14:25:50 +0000

𝘙𝘦𝘢𝘤𝘵.𝘮𝘦𝘮𝘰 is a higher-order function (HOC) in React that helps optimize the performance of functional components by preventing unnecessary re-renders. It memorizes the result of the component's rendering and only re-renders it if the 𝐩𝐫𝐨𝐩𝐬 change. This is useful when a component's props or state don't change often.

𝐇𝐨𝐰 𝐑𝐞𝐚𝐜𝐭.𝐦𝐞𝐦𝐨 𝐖𝐨𝐫𝐤𝐬

When a functional component is wrapped in 𝘙𝘦𝘢𝘤𝘵.𝘮𝘦𝘮𝘰, React performs a shallow comparison between the previous and new props. If the props haven't changed, the component won't re-render, saving performance resources by avoiding redundant rendering.

𝐁𝐚𝐬𝐢𝐜 𝐒𝐲𝐧𝐭𝐚𝐱

𝐒𝐢𝐦𝐩𝐥𝐞 𝐄𝐱𝐚𝐦𝐩𝐥𝐞
Imagine we have a Counter component and a child component that displays a static message. We can use React.memo for the child component to avoid re-rendering it every time the counter state changes, as long as its props remain the same.

𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐑𝐞𝐚𝐜𝐭.𝐦𝐞𝐦𝐨:

In this example, every time the counter state changes, 𝘚𝘵𝘢𝘵𝘪𝘤𝘔𝘦𝘴𝘴𝘢𝘨𝘦 will re-render, even though its content remains unchanged.

𝐖𝐢𝐭𝐡 𝐑𝐞𝐚𝐜𝐭.𝐦𝐞𝐦𝐨:

Now, with 𝘙𝘦𝘢𝘤𝘵.𝘮𝘦𝘮𝘰, the 𝘚𝘵𝘢𝘵𝘪𝘤𝘔𝘦𝘴𝘴𝘢𝘨𝘦 component will only render once, unless its props change. Even if the counter updates, the static component will not be re-rendered.

𝐑𝐞𝐚𝐜𝐭.𝐦𝐞𝐦𝐨 𝐰𝐢𝐭𝐡 𝐂𝐮𝐬𝐭𝐨𝐦 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧

By default, 𝘙𝘦𝘢𝘤𝘵.𝘮𝘦𝘮𝘰 performs a shallow comparison of props. However, you can provide a custom comparison function if you need finer control over the re-rendering process.

𝐄𝐱𝐚𝐦𝐩𝐥𝐞 𝐰𝐢𝐭𝐡 𝐂𝐮𝐬𝐭𝐨𝐦 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧:

In this example, the compareProps function checks whether the value prop has changed. If it hasn't, the component won't re-render, even if other parts of the parent component trigger a re-render.

𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧

𝘙𝘦𝘢𝘤𝘵.𝘮𝘦𝘮𝘰 is a simple yet effective tool for optimizing functional components, especially in cases where rendering is costly or the props change infrequently. By using 𝘙𝘦𝘢𝘤𝘵.𝘮𝘦𝘮𝘰, you can improve application performance by reducing unnecessary re-renders.

When using hooks, context or props ReactJs?

Ricardo Maia — Fri, 27 Sep 2024 12:42:23 +0000

In React, , 𝐂𝐨𝐧𝐭𝐞𝐱𝐭, and 𝐏𝐫𝐨𝐩𝐬 are fundamental tools for managing state, sharing data, and creating dynamic components. Each has a specific purpose, and understanding when to use each is essential for developing efficient and well-structured applications. Here's an overview of when to use 𝐇𝐨𝐨𝐤𝐬, 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 or 𝐏𝐫𝐨𝐩𝐬:

𝐖𝐡𝐞𝐧 𝐭𝐨 𝐮𝐬𝐞 𝐏𝐫𝐨𝐩𝐬

𝘗𝘢𝘴𝘴𝘪𝘯𝘨 𝘥𝘢𝘵𝘢 𝘧𝘳𝘰𝘮 𝘱𝘢𝘳𝘦𝘯𝘵 𝘵𝘰 𝘤𝘩𝘪𝘭𝘥: Use 𝐏𝐫𝐨𝐩𝐬 when you need to pass data or functions from a parent component to a child. This is ideal for 𝒖𝒏𝒊𝒅𝒊𝒓𝒆𝒄𝒕𝒊𝒐𝒏𝒂𝒍 𝒄𝒐𝒎𝒎𝒖𝒏𝒊𝒄𝒂𝒕𝒊𝒐𝒏 (top-down), where the parent controls the data and the children only display or interact with that data.
𝘙𝘦𝘶𝘴𝘢𝘣𝘭𝘦 𝘤𝘰𝘮𝘱𝘰𝘯𝘦𝘯𝘵𝘴: Use props when creating generic components that can be reused with different data. For example, a button component might accept props like label, onClick, and type to customize its appearance and functionality.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘰𝘧 𝘶𝘴𝘪𝘯𝘨 𝐩𝐫𝐨𝐩𝐬:

𝐖𝐡𝐞𝐧 𝐭𝐨 𝐮𝐬𝐞 𝐇𝐨𝐨𝐤𝐬

𝘓𝘰𝘤𝘢𝘭 𝘴𝘵𝘢𝘵𝘦 𝘮𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵: Use 𝐇𝐨𝐨𝐤𝐬 like useState to manage 𝐋𝐨𝐜𝐚𝐥 state within a component. This is useful when the state doesn't need to be shared across multiple components.
𝘚𝘪𝘥𝘦 𝘦𝘧𝘧𝘦𝘤𝘵𝘴: Use useEffect to handle side effects, such as API calls, subscriptions, or update operations that need to happen after the component renders.
𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘢𝘵𝘪𝘰𝘯𝘴: Use useMemo and useCallback to optimize rendering by memoizing values or functions that only need to be recalculated when certain dependencies change.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘰𝘧 𝘶𝘴𝘪𝘯𝘨 𝐇𝐨𝐨𝐤𝐬:

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𝐖𝐡𝐞𝐧 𝐭𝐨 𝐮𝐬𝐞 𝐂𝐨𝐧𝐭𝐞𝐱𝐭

𝘎𝘭𝘰𝘣𝘢𝘭 𝘥𝘢𝘵𝘢 𝘴𝘩𝘢𝘳𝘪𝘯𝘨: Use 𝘊𝘰𝘯𝘵𝘦𝘹𝘵 when you need to share 𝘨𝘭𝘰𝘣𝘢𝘭 𝘥𝘢𝘵𝘢 across multiple components that aren't directly related (without passing props through multiple levels). This is useful for themes, user authentication, language settings, etc.
𝘙𝘦𝘱𝘭𝘢𝘤𝘪𝘯𝘨 𝘱𝘳𝘰𝘱𝘴 𝘥𝘳𝘪𝘭𝘭𝘪𝘯𝘨: If you're passing props through many component levels (props drilling), the 𝘊𝘰𝘯𝘵𝘦𝘹𝘵 𝘈𝘗𝘐 can help simplify this by allowing components to access data directly, regardless of their depth in the component tree.
𝘈𝘷𝘰𝘪𝘥𝘪𝘯𝘨 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘵𝘢𝘵𝘦𝘴: While Context is great for simple global states like themes and authentication, if the global state becomes too complex, it may be better to use a state management library like Redux.

𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘰𝘧 𝘶𝘴𝘪𝘯𝘨 𝐂𝐨𝐧𝐭𝐞𝐱𝐭:

𝐖𝐡𝐞𝐧 𝐭𝐨 𝐮𝐬𝐞 𝐞𝐚𝐜𝐡:

𝐔𝐬𝐞 𝐩𝐫𝐨𝐩𝐬:
- When passing data from a parent to a child component.
- When data communication is unidirectional, and children don't need to share information with each other.
- When there's no need to share state between unrelated components.
𝐔𝐬𝐞 𝐇𝐨𝐨𝐤𝐬:
- For managing state and lifecycle within functional components.
- When the state and effects are limited to a single component or a set of components.
𝐔𝐬𝐞 𝐂𝐨𝐧𝐭𝐞𝐱𝐭:
- To 𝘴𝘩𝘢𝘳𝘦 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘵𝘢𝘵𝘦𝘴 or data across components that don't have a direct parent-child relationship.
- To avoid 𝘱𝘳𝘰𝘱𝘴 𝘥𝘳𝘪𝘭𝘭𝘪𝘯𝘨, when you need to share data across many levels in the component hierarchy.
- In cases like managing themes (light/dark), authentication, or global settings.

𝐂𝐨𝐦𝐛𝐢𝐧𝐢𝐧𝐠 𝐇𝐨𝐨𝐤𝐬 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐞𝐱𝐭:
You can also combine 𝐇𝐨𝐨𝐤𝐬 with 𝐂𝐨𝐧𝐭𝐞𝐱𝐭. For example, using the 𝐮𝐬𝐞𝐂𝐨𝐧𝐭𝐞𝐱𝐭 Hook to consume data from a 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 inside a functional component. This simplifies access to global data without needing class components.

𝐄𝐱𝐚𝐦𝐩𝐥𝐞 𝐨𝐟 𝐮𝐬𝐞𝐂𝐨𝐧𝐭𝐞𝐱𝐭:

By following these guidelines, you can create more efficient, scalable React applications.

Differences between hook and context in react

Ricardo Maia — Tue, 24 Sep 2024 00:47:16 +0000

In React, both Hooks and Context are powerful tools for managing states and sharing information between components, but they serve different purposes. Let’s understand the difference between Hooks and Context:

𝗛𝗼𝗼𝗸𝘀: Hooks were introduced in React 16.8 and allow you to use state and other React features without needing to write class components. They are functions that let you "hook" functionality into functional components.

𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗛𝗼𝗼𝗸𝘀:

𝙪𝙨𝙚𝙎𝙩𝙖𝙩𝙚: Manages the local state of a functional component.
𝙪𝙨𝙚𝙀𝙛𝙛𝙚𝙘𝙩: Allows you to perform side effects, such as API calls, after the component renders.
𝙪𝙨𝙚𝙈𝙚𝙢𝙤 𝙖𝙣𝙙 𝙪𝙨𝙚𝘾𝙖𝙡𝙡𝙗𝙖𝙘𝙠: Optimize performance by memoizing values or functions.
𝙪𝙨𝙚𝙍𝙚𝙙𝙪𝙘𝙚𝙧: An alternative to useState for managing more complex states.
𝙪𝙨𝙚𝙍𝙚𝙛: Directly accesses DOM elements or persists values between renders without causing re-renders.

Example of useState:

𝗖𝗼𝗻𝘁𝗲𝘅𝘁: The React Context API is a way to share data globally between components without needing to manually pass "props" through each level of the component tree. It allows you to "inject" information anywhere in a child component, avoiding "props drilling" (passing props from one component to another in a chain).

Context is useful for sharing states or information used by multiple components, such as authentication data, application theme (light/dark mode), language, etc.

Example of Context:
First, we create a context and provide a value:

𝗞𝗲𝘆 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀:

𝗣𝘂𝗿𝗽𝗼𝘀𝗲:
- 𝗛𝗼𝗼𝗸𝘀: Functions that allow you to use state, lifecycle, and other features in functional components. They solve problems like state management, performance optimization, and side effects.
- 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: An API for sharing data between components without needing to pass props through multiple levels. It’s ideal for global state management, such as theme, authentication, settings, etc.
𝗨𝘀𝗮𝗴𝗲:
- 𝗛𝗼𝗼𝗸𝘀: Used to manipulate the state and behavior of an individual component.
- 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Used to share data or state between multiple components without manually passing props through them.
𝗦𝗰𝗼𝗽𝗲:
- 𝗛𝗼𝗼𝗸𝘀: Apply to the scope of a single component or a set of components sharing logic.
- 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Operates in the global (or broader) scope to provide data to many components without props drilling.
𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻:
- You can use useContext (a Hook) to access Context data, combining both concepts. In other words, a Hook can consume data from Context, but they are not the same.

𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻:

𝗛𝗼𝗼𝗸𝘀 are for managing local states and functionalities in functional components.
𝗖𝗼𝗻𝘁𝗲𝘅𝘁 is for sharing states or data between different components, usually in a deeper tree, without needing to pass props between them.

Both can be used together: for example, you can use useContext to consume a context in a functional component, combining the benefits of both.

What are Props React?

Ricardo Maia — Mon, 16 Sep 2024 13:10:54 +0000

In React, 𝙥𝙧𝙤𝙥𝙨 (short for "properties") are parameters that you can pass to components, allowing you to share data between parent and child components. They are a way to 𝙢𝙖𝙠𝙚 𝙘𝙤𝙢𝙥𝙤𝙣𝙚𝙣𝙩𝙨 𝙧𝙚𝙪𝙨𝙖𝙗𝙡𝙚 and to pass dynamic information to a component, which can then be used within the component to alter the display or behavior.

𝙆𝙚𝙮 𝙘𝙝𝙖𝙧𝙖𝙘𝙩𝙚𝙧𝙞𝙨𝙩𝙞𝙘𝙨 𝙤𝙛 `𝙥𝙧𝙤𝙥𝙨`:

𝗜𝗺𝗺𝘂𝘁𝗮𝗯𝗹𝗲: Props are 𝘐𝘮𝘮𝘶𝘵𝘢𝘣𝘭𝘦 within the component that receives them, meaning a component cannot modify its own props directly. They are passed from the parent component to the child component and remain unchanged during the component's lifecycle.
𝗥𝗲𝗮𝗱-𝗼𝗻𝗹𝘆: A child component can access the props but cannot modify them. If you need to change the value of props, this change must be made in the parent component and passed down again to the child.
𝗗𝗮𝘁𝗮 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻: Props are used to pass data, such as strings, numbers, functions, or even other components, from one component to another.

𝗦𝗶𝗺𝗽𝗹𝗲 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝘂𝘀𝗶𝗻𝗴 `𝗽𝗿𝗼𝗽𝘀:

Let's create two components: a parent component and a child. The parent will send data to the child using props.

Now, the parent component sends a value as a prop to the child component:

In this example, the parent component (ParentComponent) passes the prop name="Ricardo" to the child component (ChildComponent). The child component receives this prop as an argument (props) and uses it to render the string "Hello, Ricardo!".

More advanced examples of `props`:

Passing functions as props: You can also pass functions as props, which allows a child component to communicate events back to the parent component.

In this example, the child component (ChildComponent) receives the function handleClick as a prop and executes it when the button is clicked.

𝙋𝙧𝙤𝙥𝙨 𝙬𝙞𝙩𝙝 𝙙𝙮𝙣𝙖𝙢𝙞𝙘 𝙫𝙖𝙡𝙪𝙚𝙨: Props can also be dynamic values, such as a component's state, data from an API, etc.

Here, the value of name is stored in the parent component's state and passed to the child component as a prop.

𝗦𝘂𝗺𝗺𝗮𝗿𝘆:

𝗣𝗿𝗼𝗽𝘀 allow you to pass data and functions from a parent component to a child component.
They are 𝘐𝘮𝘮𝘶𝘵𝘢𝘣𝘭𝘦 in the component that receives them.
They are very useful for making components 𝘳𝘦𝘶𝘴𝘢𝘣𝘭𝘦 and 𝘥𝘺𝘯𝘢𝘮𝘪𝘤.
You can pass any type of data as props: strings, numbers, arrays, objects, functions, etc.

𝗣𝗿𝗼𝗽𝘀 are one of the most fundamental concepts in React for developing dynamic and modular components.

Using Java and Spring with Redis: Integration for Fast and Efficient Storage

Ricardo Maia — Thu, 12 Sep 2024 18:29:03 +0000

With the increasing demand for systems that handle large volumes of real-time data, choosing fast and efficient solutions for caching and data storage is crucial. In this context, the combination of 𝗝𝗮𝘃𝗮 with 𝗦𝗽𝗿𝗶𝗻𝗴 and 𝗥𝗲𝗱𝗶𝘀 stands out as a powerful option to enhance the performance and scalability of applications. In this article, we will explore how Java and Spring can be integrated with Redis, the benefits of this approach, and provide a practical implementation example.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗥𝗲𝗱𝗶𝘀?

𝗥𝗲𝗱𝗶𝘀 is an in-memory NoSQL database known for its high speed and flexibility. It supports various data structures such as strings, hashes, lists, sets, and sorted sets, making it an ideal choice for caching, session management, message queues, and more. Redis stores data in memory, allowing it to provide extremely fast response times, making it widely used in systems that require high performance.

𝗪𝗵𝘆 𝗨𝘀𝗲 𝗥𝗲𝗱𝗶𝘀 𝘄𝗶𝘁𝗵 𝗝𝗮𝘃𝗮 𝗮𝗻𝗱 𝗦𝗽𝗿𝗶𝗻𝗴?

𝗦𝗽𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗥𝗲𝗱𝗶𝘀 simplifies the integration between Java and Redis, offering a consistent interface for handling data while abstracting the complexity of using Redis directly. Here are some benefits of this integration:

𝙀𝙣𝙝𝙖𝙣𝙘𝙚𝙙 𝙋𝙚𝙧𝙛𝙤𝙧𝙢𝙖𝙣𝙘𝙚: Redis can be used as a cache to reduce the load on relational databases, significantly improving application performance.
𝙀𝙖𝙨𝙮 𝙄𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣: With Spring, integrating Redis is quick and intuitive, thanks to the support provided by Spring Data Redis.
𝙎𝙘𝙖𝙡𝙖𝙗𝙞𝙡𝙞𝙩𝙮: Redis is scalable and can handle large volumes of data, allowing applications to grow without compromising performance.
𝙊𝙥𝙩𝙞𝙤𝙣𝙖𝙡 𝙋𝙚𝙧𝙨𝙞𝙨𝙩𝙚𝙣𝙘𝙚: Redis can store data persistently, ensuring that even in failure scenarios, data can be recovered.

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𝙎𝙚𝙩𝙩𝙞𝙣𝙜 𝙐𝙥 𝙩𝙝𝙚 𝙋𝙧𝙤𝙟𝙚𝙘𝙩
Start by creating a Spring Boot project and adding the Spring Data Redis dependency in the pom.xml file:

𝘾𝙤𝙣𝙛𝙞𝙜𝙪𝙧𝙞𝙣𝙜 𝙍𝙚𝙙𝙞𝙨 𝙞𝙣 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣.𝙥𝙧𝙤𝙥𝙚𝙧𝙩𝙞𝙚𝙨
Add the Redis connection configuration in the application.properties file:

𝙄𝙢𝙥𝙡𝙚𝙢𝙚𝙣𝙩𝙞𝙣𝙜 𝘾𝙖𝙘𝙝𝙞𝙣𝙜 𝙬𝙞𝙩𝙝 𝙍𝙚𝙙𝙞𝙨
Next, we'll create a simple service that uses Redis to store data. We'll create an entity and a repository to manage the data.

𝙐𝙨𝙚𝙧.𝙟𝙖𝙫𝙖𝘾𝙡𝙖𝙨𝙨

𝙍𝙚𝙙𝙞𝙨𝘾𝙤𝙣𝙛𝙞𝙜.𝙟𝙖𝙫𝙖 𝘾𝙤𝙣𝙛𝙞𝙜𝙪𝙧𝙖𝙩𝙞𝙤𝙣 𝘾𝙡𝙖𝙨𝙨

𝙐𝙨𝙚𝙧𝙎𝙚𝙧𝙫𝙞𝙘𝙚.𝙟𝙖𝙫𝙖 𝙎𝙚𝙧𝙫𝙞𝙘𝙚 𝘾𝙡𝙖𝙨𝙨
In this service, we will save and retrieve User objects directly from Redis.

𝙐𝙨𝙚𝙧𝘾𝙤𝙣𝙩𝙧𝙤𝙡𝙡𝙚𝙧.𝙟𝙖𝙫𝙖 𝘾𝙤𝙣𝙩𝙧𝙤𝙡𝙡𝙚𝙧
To interact with the service, we’ll create a REST controller:

𝙏𝙚𝙨𝙩𝙞𝙣𝙜 𝙩𝙝𝙚 𝘼𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣
With Redis running locally (or on a remote server), you can test the application. When making a POST request to create a user, the user will be stored in Redis. Later, a GET request will retrieve the user from the cache, ensuring fast responses.

𝘾𝙤𝙣𝙘𝙡𝙪𝙨𝙞𝙤𝙣

The integration of Java, Spring, and Redis is an effective solution for improving the performance and scalability of modern applications. Using Redis as a cache allows you to reduce the load on the main database, improve response times, and build more agile systems. The simplicity that Spring Data Redis provides makes the process of configuring and using Redis in Java applications highly accessible, allowing developers to focus more on business logic and less on infrastructure complexity.

Java and Kafka: Integration for Real-Time Data Processing

Ricardo Maia — Wed, 11 Sep 2024 01:36:39 +0000

With the exponential growth of data in companies, the need to process it in real-time while maintaining scalability and reliability has become essential. In this context, the combination of 𝗝𝗮𝘃𝗮 𝗮𝗻𝗱 𝗔𝗽𝗮𝗰𝗵𝗲 𝗞𝗮𝗳𝗸𝗮 has emerged as a popular choice for building data streaming architectures and distributed processing systems. This article explores how Java and Kafka work together, the benefits of this integration, and some practical examples.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗔𝗽𝗮𝗰𝗵𝗲 𝗞𝗮𝗳𝗸𝗮?

𝗔𝗽𝗮𝗰𝗵𝗲 𝗞𝗮𝗳𝗸𝗮 is a distributed event-streaming platform designed to handle large volumes of real-time data. Originally developed by LinkedIn, Kafka enables you to publish, store, and consume streams of data records, also known as "events." It excels in scalability, durability, and reliability, making it an ideal choice for systems that require high throughput and low latency.

𝗞𝗲𝘆 𝗞𝗮𝗳𝗸𝗮 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀:

𝗣𝗿𝗼𝗱𝘂𝗰𝗲𝗿: Publishes data to one or more topics.
𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿: Retrieves the data from the topics.
𝗕𝗿𝗼𝗸𝗲𝗿: Servers that store and distribute data across the system.
𝗧𝗼𝗽𝗶𝗰: A communication channel where events are categorized.
𝗣𝗮𝗿𝘁𝗶𝘁𝗶𝗼𝗻: A way to split a topic to allow parallel processing of data.

𝗧𝗵𝗲 𝗥𝗼𝗹𝗲 𝗼𝗳 𝗝𝗮𝘃𝗮 𝗶𝗻 𝗞𝗮𝗳𝗸𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻
𝗝𝗮𝘃𝗮 is widely used in enterprise-level development due to its portability and robustness. Kafka’s native support for Java, via its 𝗞𝗮𝗳𝗸𝗮 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗔𝗣𝗜, makes the integration straightforward. Kafka provides an easy-to-use API for Java developers to produce and consume messages efficiently.

Additionally, frameworks like 𝗦𝗽𝗿𝗶𝗻𝗴 𝗞𝗮𝗳𝗸𝗮 simplify the implementation process by abstracting complex configurations and offering advanced features like transaction management and offset handling, making the development experience smoother.

𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗝𝗮𝘃𝗮 𝗮𝗻𝗱 𝗞𝗮𝗳𝗸𝗮

𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: The combination of Kafka and Java enables real-time data processing, which is critical for applications that need to respond quickly to events, such as in financial systems or e-commerce.
𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Kafka’s architecture is highly scalable, capable of handling vast amounts of data with minimal latency. Java’s flexibility in distributed environments allows the creation of systems that can scale horizontally as demand increases.
𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗙𝗮𝘂𝗹𝘁 𝗧𝗼𝗹𝗲𝗿𝗮𝗻𝗰𝗲: Both Kafka and Java provide robust mechanisms for fault tolerance. Kafka stores data distributed across multiple nodes, ensuring data availability even during failures, while Java’s reliability makes it well-suited for mission-critical applications.
𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Kafka is optimized for throughput, capable of handling millions of events per second. Paired with the performance of Java’s JVM, Kafka and Java together create an efficient system for high-volume data environments.

𝙋𝙧𝙖𝙘𝙩𝙞𝙘𝙖𝙡 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: 𝘽𝙪𝙞𝙡𝙙𝙞𝙣𝙜 𝙖 𝙋𝙧𝙤𝙙𝙪𝙘𝙚𝙧 𝙖𝙣𝙙 𝘾𝙤𝙣𝙨𝙪𝙢𝙚𝙧 𝙞𝙣 𝙅𝙖𝙫𝙖

𝗞𝗮𝗳𝗸𝗮 𝗦𝗲𝘁𝘂𝗽
First, you need to set up a Kafka broker, either locally or in a distributed environment, to start sending and receiving messages.

𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗮 𝗦𝗶𝗺𝗽𝗹𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝗲𝗿 𝗶𝗻 𝗝𝗮𝘃𝗮

In this example, a simple Kafka producer is configured to send 10 messages to the topic "my_topic."

𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗮 𝗦𝗶𝗺𝗽𝗹𝗲 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗶𝗻 𝗝𝗮𝘃𝗮

Here, a Kafka consumer is set up to subscribe to "my_topic" and read messages, printing them to the console.

𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗝𝗮𝘃𝗮 𝗮𝗻𝗱 𝗞𝗮𝗳𝗸𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻

𝗢𝗳𝗳𝘀𝗲𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Managing offsets correctly ensures that messages are processed in order and prevents data loss or duplication.
𝗣𝗮𝗿𝘁𝗶𝘁𝗶𝗼𝗻𝗶𝗻𝗴: Using Kafka partitions effectively allows for parallel consumption and load distribution, which is crucial for scalability.
𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Tools like 𝗞𝗮𝗳𝗸𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 𝗼𝗿 𝗣𝗿𝗼𝗺𝗲𝘁𝗵𝗲𝘂𝘀 can help monitor Kafka’s performance and track consumer and producer metrics, ensuring the health of the system.

𝘾𝙤𝙣𝙘𝙡𝙪𝙨𝙞𝙤𝙣
The integration between Java and Kafka provides a powerful solution for building scalable, real-time data processing systems. With Java's native Kafka support and the flexibility of its APIs, you can create robust data pipelines for various use cases. Whether you're working in finance, telecommunications, or any other industry that requires real-time event processing, the combination of Java and Kafka is a proven, efficient, and reliable choice.

#𝐉𝐚𝐯𝐚 𝐚𝐧𝐝 𝐑𝐚𝐛𝐛𝐢𝐭𝐌𝐐 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: 𝐀𝐬𝐲𝐧𝐜𝐡𝐫𝐨𝐧𝐨𝐮𝐬 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐐𝐮𝐞𝐮𝐞

Ricardo Maia — Fri, 06 Sep 2024 13:12:14 +0000

Building scalable and resilient applications is one of the biggest challenges in modern software development. One effective way to improve both scalability and resilience is by using 𝐑𝐚𝐛𝐛𝐢𝐭𝐌𝐐 , a message broker based on the AMQP (Advanced Message Queuing Protocol). RabbitMQ helps decouple systems, enabling asynchronous and distributed processing.

In this article, I will show how to integrate 𝐉𝐚𝐯𝐚 with RabbitMQ, creating a simple implementation to send and receive messages using the 𝚂𝚙𝚛𝚒𝚗𝚐 𝙰𝙼𝚀𝙿 library.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤?

𝐑𝐚𝐛𝐛𝐢𝐭𝐌𝐐 is a message broker that serves as an intermediary between producers (applications that send messages) and consumers (applications that process messages). It allows systems to send messages to a queue, and other systems can read and process those messages asynchronously. This makes RabbitMQ a great solution for work queues, real-time messaging systems, and more.

𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗨𝘀𝗶𝗻𝗴 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤

𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: RabbitMQ allows easy distribution of messages to multiple consumers.
𝗗𝗲𝗰𝗼𝘂𝗽𝗹𝗶𝗻𝗴: Producers and consumers can operate independently, with communication mediated through RabbitMQ.
𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲: The message queue ensures that no information is lost, even if the consumer application temporarily fails.

𝗝𝗮𝘃𝗮 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗨𝘀𝗶𝗻𝗴 𝗦𝗽𝗿𝗶𝗻𝗴 𝗔𝗠𝗤𝗣

Now, let’s implement a basic example of sending and receiving messages with RabbitMQ using 𝐉𝐚𝐯𝐚 and 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁.

𝗣𝗿𝗲𝗿𝗲𝗾𝘂𝗶𝘀𝗶𝘁𝗲𝘀

𝐑𝐚𝐛𝐛𝐢𝐭𝐌𝐐 installed (either locally or on a server).
The Spring AMQP dependency added to your Maven or Gradle project.

𝗠𝗮𝘃𝗲𝗻 𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀

Add the Spring AMQP dependency to your pom.xml file:

𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻

In the 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣.𝙥𝙧𝙤𝙥𝙚𝙧𝙩𝙞𝙚𝙨 file, define the basic settings to connect to RabbitMQ:

𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝗲𝗿

Let's create a class that sends messages to the RabbitMQ queue.

𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿

Now, we’ll create a class that receives and processes messages from the queue.

𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤 𝗤𝘂𝗲𝘂𝗲 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻

Next, we’ll configure RabbitMQ by creating the queue in a configuration class.

𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿 𝘁𝗼 𝗦𝗲𝗻𝗱 𝗠𝗲𝘀𝘀𝗮𝗴𝗲𝘀

Finally, let's create a REST API endpoint to allow clients to send messages to the queue.

𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻

Start RabbitMQ on your local machine.
Run the Spring Boot application.
Send a message via Postman or curl:

You should see the message being sent and received by the consumer in the console.

𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻

Integrating 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤 with 𝗝𝗮𝘃𝗮 and 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 is an effective way to implement message queues and asynchronous systems. Using Spring AMQP, you can easily send and receive messages, enabling distributed and scalable processing.

By using RabbitMQ queues, systems can achieve high availability and horizontal scaling, which is crucial in modern architectures like microservices. Moreover, this implementation is flexible and can be adapted for various use cases such as work queues, real-time notifications, and more.

If you're looking to make your applications more resilient and scalable, I highly recommend exploring RabbitMQ in combination with Java. This integration brings robustness and flexibility to any system.

Java #RabbitMQ #Microservices #MessageQueues #SoftwareArchitecture #SpringBoot

Thread in Java

Ricardo Maia — Tue, 03 Sep 2024 12:14:02 +0000

𝗧𝗵𝗿𝗲𝗮𝗱𝘀 in Java are a way to execute tasks concurrently within a program. A thread is essentially a path of execution within a program. When you create multiple threads, you can run several operations simultaneously, which is particularly useful for tasks involving I/O operations, such as file reading or network operations, or for improving the performance of applications that execute multiple independent tasks.

𝗞𝗲𝘆 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗮𝗯𝗼𝘂𝘁 𝗧𝗵𝗿𝗲𝗮𝗱𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮

𝗠𝗮𝗶𝗻 𝗧𝗵𝗿𝗲𝗮𝗱:
- Every Java application starts with a single thread called the 𝙢𝙖𝙞𝙣 𝙩𝙝𝙧𝙚𝙖𝙙, which is automatically created by the JVM (Java Virtual Machine) when the program begins.
𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗧𝗵𝗿𝗲𝗮𝗱𝘀:
There are two main ways to create threads in Java:

𝗘𝘅𝘁𝗲𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗧𝗵𝗿𝗲𝗮𝗱 𝗰𝗹𝗮𝘀𝘀: You can create a new class that extends Thread and overrides the run() method.

𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝘂𝗻𝗻𝗮𝗯𝗹𝗲 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲: Another approach is to implement the 𝘙𝘶𝘯𝘯𝘢𝘣𝘭𝘦 interface and pass an instance of the class that implements 𝘙𝘶𝘯𝘯𝘢𝘣𝘭𝘦 to a Thread object.

𝙧𝙪𝙣() 𝙖𝙣𝙙 𝙨𝙩𝙖𝙧𝙩() 𝙈𝙚𝙩𝙝𝙤𝙙𝙨:
- The 𝚛𝚞𝚗() method contains the code that the thread will execute. When you call the 𝚜𝚝𝚊𝚛𝚝() method of a thread, it causes the JVM to create a new thread of execution and call the 𝚛𝚞𝚗() method in that new thread. If you call 𝚛𝚞𝚗() directly, it will run in the current thread without creating a new thread.
𝗧𝗵𝗿𝗲𝗮𝗱 𝗦𝘁𝗮𝘁𝗲𝘀:
- 𝗡𝗲𝘄: The thread has been created but not yet started.
- 𝗥𝘂𝗻𝗻𝗮𝗯𝗹𝗲: The thread is ready to run but may be waiting for its turn to execute.
- 𝗕𝗹𝗼𝗰𝗸𝗲𝗱: The thread is blocked waiting for a monitor lock.
- 𝗪𝗮𝗶𝘁𝗶𝗻𝗴/𝗧𝗶𝗺𝗲𝗱 𝗪𝗮𝗶𝘁𝗶𝗻𝗴: The thread is waiting indefinitely or for a specified time until another thread notifies.
- 𝗧𝗲𝗿𝗺𝗶𝗻𝗮𝘁𝗲𝗱: The thread has finished execution.
𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻:
- When multiple threads access and modify shared data, race conditions can occur. To prevent this, Java offers the concept of s𝚢𝚗𝚌𝚑𝚛𝚘𝚗𝚒𝚣𝚊𝚝𝚒𝚘𝚗 using the 𝚜𝚢𝚗𝚌𝚑𝚛𝚘𝚗𝚒𝚣𝚎𝚍 keyword, which can be applied to methods or code blocks.

𝗧𝗵𝗿𝗲𝗮𝗱 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻:
- Java provides methods like 𝚠𝚊𝚒𝚝(), 𝚗𝚘𝚝𝚒𝚏𝚢(), and 𝚗𝚘𝚝𝚒𝚏𝚢𝙰𝚕𝚕() to allow threads to communicate with each other, especially useful for synchronizing threads in producer/consumer scenarios.
𝗘𝘅𝗲𝗰𝘂𝘁𝗼𝗿𝘀 𝗮𝗻𝗱 𝗧𝗵𝗿𝗲𝗮𝗱 𝗣𝗼𝗼𝗹𝘀:
- To manage a large number of threads, Java offers the java.util.concurrent framework, which includes classes like ExecutorService that facilitate the creation and management of thread pools.

𝗧𝗵𝗿𝗲𝗮𝗱 𝗜𝗻𝘁𝗲𝗿𝗿𝘂𝗽𝘁𝗶𝗼𝗻:
- You can request that a thread be interrupted by calling thread.interrupt(). The running thread should periodically check if it has been interrupted using the Thread.interrupted() or isInterrupted() methods.

𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀 𝗮𝗻𝗱 𝗗𝗶𝘀𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀

𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀:
- 𝗕𝗲𝘁𝘁𝗲𝗿 𝘂𝘀𝗲 𝗼𝗳 𝘀𝘆𝘀𝘁𝗲𝗺 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: It can increase efficiency by utilizing multiple CPU cores.
- 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗜/𝗢 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Threads can continue executing while an I/O operation is waiting.
𝗗𝗶𝘀𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀:
- 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: Managing multiple threads can be complicated, especially when it comes to synchronization and communication.
- 𝗦𝘆𝘀𝘁𝗲𝗺 𝗼𝘃𝗲𝗿𝗵𝗲𝗮𝗱: Creating and managing threads adds overhead to the system.

𝗥𝗮𝗰𝗲 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗱𝗲𝗮𝗱𝗹𝗼𝗰𝗸𝘀: These are common issues in multi-threaded applications, requiring extra care in system design.

Threads are a powerful tool in Java for developing applications that require simultaneous task execution. However, improper use can lead to complex problems such as race conditions and deadlocks, necessitating a careful understanding of their implementation and management.

𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮: 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀, 𝗮𝗻𝗱 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻

Ricardo Maia — Mon, 26 Aug 2024 12:10:39 +0000

Microservices architecture has become increasingly popular as a powerful approach for developing complex and scalable systems. Unlike traditional monolithic architecture, microservices allow applications to be composed of small, independent services that communicate with each other. Each microservice is responsible for a specific functionality and can be developed, deployed, and scaled independently. In this article, we'll explore the architecture of microservices in Java, the benefits of this approach, and some best practices for implementation.

𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲

Microservices architecture breaks down an application into a collection of smaller services, each focused on a specific business capability. In a Java application, these microservices are typically developed as independent modules that communicate via APIs, using protocols such as HTTP/REST, gRPC, or asynchronous messaging.

Each microservice can have its own database, allowing decisions about persistence to be made based on the specific needs of the service. This independence reduces coupling between services and increases flexibility to adopt different technologies as needed. For example, one microservice might use an SQL database, while another might choose a NoSQL solution.

𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀

𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: One of the main advantages of microservices is the ability to scale individual services. This enables more efficient resource utilization and a better response to specific demands. If a particular service experiences heavy load, it can be scaled independently of the others.
𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗨𝗽𝗱𝗮𝘁𝗲𝘀: In a monolithic architecture, changing a small part of the system often requires recompiling and redeploying the entire application. With microservices, updates and maintenance can be performed in isolation, minimizing the risk of impacting other parts of the system.
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗗𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: Microservices allow different technologies and programming languages to be used for different services, as long as they adhere to the defined communication protocol. This flexibility enables using the best tool for each specific need.
𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲: Since microservices are independent, a failure in one service does not necessarily compromise the entire application. This enhances system resilience, as mechanisms like fallback strategies or circuit breakers can be implemented to handle failures.

𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮
Java offers various tools and frameworks for implementing microservices. The most popular include Spring Boot and Quarkus.

𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁
Spring Boot is widely used for building Java-based microservices applications. It simplifies configuration and development, offering a wide range of modules, such as Spring Data for database integration, Spring Cloud for managing distributed microservices, and Spring Security for authentication and authorization.

𝗦𝘁𝗲𝗽 𝟭: 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗲𝘁𝘂𝗽
You can create a new Spring Boot project using Spring Initializr, selecting dependencies such as Spring Web, Spring Data JPA, and H2 Database (or another database of your choice).

𝗦𝘁𝗲𝗽 𝟮: 𝗗𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗘𝗻𝘁𝗶𝘁𝘆 𝗮𝗻𝗱 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆

𝗦𝘁𝗲𝗽 𝟯: 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗘𝗦𝗧 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿

𝗦𝘁𝗲𝗽 𝟰: 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲
With Spring Boot, the microservice will be running at http://localhost:8080/products. You can test the CRUD (Create, Read, Update, Delete) endpoints using tools like Postman or curl.

𝗤𝘂𝗮𝗿𝗸𝘂𝘀
Quarkus is a newer framework that focuses on optimized execution in containers and cloud environments. It is known for its fast startup times and low memory footprint, making it ideal for serverless applications and container-based architectures.

𝗦𝘁𝗲𝗽 𝟭: 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗲𝘁𝘂𝗽

You can create a new Quarkus project using Quarkus Initializr, selecting extensions like RESTEasy JAX-RS and Hibernate ORM with Panache (for ORM).

𝗦𝘁𝗲𝗽 𝟮: 𝗗𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗘𝗻𝘁𝗶𝘁𝘆 𝗮𝗻𝗱 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆

𝗦𝘁𝗲𝗽 𝟯: 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗘𝗦𝗧 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲

𝗦𝘁𝗲𝗽 𝟰: 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲
With Quarkus, the microservice will be running at http://localhost:8080/customers. Similar to the Spring Boot example, you can test the endpoints using tools like Postman or curl.

𝘾𝙤𝙣𝙘𝙡𝙪𝙨𝙞𝙤𝙣
These basic examples illustrate how to create simple microservices in Java using two popular frameworks, Spring Boot and Quarkus. Both offer robust support for developing microservices-based applications, with straightforward configuration of REST APIs, database integration, and scalability. These examples can serve as a foundation for more complex projects, where microservices architecture provides greater modularity, flexibility, and resilience.

𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮: 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀, 𝗮𝗻𝗱 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻

Ricardo Maia — Mon, 19 Aug 2024 15:43:35 +0000

Microservices architecture has become increasingly popular as a powerful approach for developing complex and scalable systems. Unlike the traditional monolithic architecture, microservices allow applications to be composed of small, independent services that communicate with each other. Each microservice is responsible for a specific functionality and can be developed, deployed, and scaled independently. In this article, we'll explore the architecture of microservices in Java, the benefits of this approach, and some best practices for implementation.

𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲
Microservices architecture breaks down an application into a collection of smaller services, each focused on a specific business capability. In a Java application, these microservices are typically developed as independent modules that communicate via APIs, using protocols such as HTTP/REST, gRPC, or asynchronous messaging.

𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀

𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: One of the main advantages of microservices is the ability to scale individual services. This enables more efficient resource utilization and a better response to specific demands. If a particular service experiences heavy load, it can be scaled independently of the others.
𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗨𝗽𝗱𝗮𝘁𝗲𝘀: In a monolithic architecture, changing a small part of the system often requires recompiling and redeploying the entire application. With microservices, updates and maintenance can be performed in isolation, minimizing the risk of impacting other parts of the system.
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗗𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: Microservices allow different technologies and programming languages to be used for different services, as long as they adhere to the defined communication protocol. This flexibility enables using the best tool for each specific need.
𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲: Since microservices are independent, a failure in one service does not necessarily compromise the entire application. This enhances system resilience, as mechanisms like fallback strategies or circuit breakers can be implemented to handle failures.

𝗦𝗽𝗿𝗶𝗻𝗴 𝗖𝗹𝗼𝘂𝗱: A suite of tools that aids in creating and managing distributed microservices. It provides solutions for service discovery (Eureka), load balancing (Ribbon), circuit breakers (Hystrix), and distributed configuration (Spring Cloud Config).
𝗥𝗘𝗦𝗧𝗳𝘂𝗹 𝗔𝗣𝗜𝘀: With Spring Boot, exposing REST endpoints for microservices communication is straightforward. The @RestController annotation is used to define a class as a REST controller.

𝗤𝘂𝗮𝗿𝗸𝘂𝘀

Quarkus is a newer framework that focuses on optimized execution in containers and cloud environments. It is known for its fast startup times and low memory footprint, making it ideal for serverless applications and container-based architectures.

𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻: Quarkus supports CDI (Contexts and Dependency Injection), a standard for dependency injection in Java EE, facilitating the construction of modular applications.
𝗦𝘂𝗽𝗲𝗿𝘀𝗼𝗻𝗶𝗰 𝗦𝘂𝗯𝗮𝘁𝗼𝗺𝗶𝗰 𝗝𝗮𝘃𝗮: Quarkus’s slogan reflects its ability to run quickly in resource-constrained environments, such as Docker containers.

𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀

𝗔𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Whenever possible, choose asynchronous communication between microservices to improve performance and resilience. Messaging solutions like Kafka or RabbitMQ are good options.
𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗟𝗼𝗴𝗴𝗶𝗻𝗴: Implementing robust monitoring and logging systems is essential to ensure the health of microservices. Tools like the ELK Stack (Elasticsearch, Logstash, Kibana) and Prometheus are commonly used.
𝗗𝗲𝘀𝗶𝗴𝗻 𝗳𝗼𝗿 𝗙𝗮𝗶𝗹𝘂𝗿𝗲: Microservices should be designed to handle failures gracefully. Implementing circuit breakers and automatic retries is crucial for maintaining system resilience.
𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Each microservice should be independently tested with unit tests, integration tests, and contract tests to ensure that changes in one service do not break interactions with others.

𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻
Microservices architecture in Java offers numerous advantages for developing modern, scalable systems. By leveraging frameworks like Spring Boot and Quarkus, developers can build robust and efficient microservices that simplify maintenance, scalability, and system resilience. However, to succeed with this approach, it's important to follow best practices and be prepared for the challenges that modularization and service communication can bring.

Tools and libraries widely used in micro frontend architectures!

Ricardo Maia — Fri, 09 Aug 2024 13:09:10 +0000

To implement a microfrontend architecture in projects, several tools and libraries are widely used. Below are the key tools categorized by their purpose:

𝙈𝙞𝙘𝙧𝙤𝙛𝙧𝙤𝙣𝙩𝙚𝙣𝙙 𝙁𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠𝙨 𝙖𝙣𝙙 𝙇𝙞𝙗𝙧𝙖𝙧𝙞𝙚𝙨

𝗦𝗶𝗻𝗴𝗹𝗲-𝗦𝗣𝗔
- Description: Enables the integration of multiple JavaScript frameworks within the same frontend.
- Official Website
𝗠𝗼𝗱𝘂𝗹𝗲 𝗙𝗲𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗪𝗲𝗯𝗽𝗮𝗰𝗸 𝟱)
- Description: Allows different applications to share modules at runtime.
- Documentation
𝗤𝗶𝗮𝗻𝗸𝘂𝗻
- Description: A framework based on Single-SPA, facilitating the implementation of microfrontends, particularly in Vue applications.
- Official Website
𝗠𝗼𝘀𝗮𝗶𝗰
- Description: A component-based microfrontend platform that supports the development and integration of microfrontends.
- Official Website

𝙁𝙚𝙧𝙧𝙖𝙢𝙚𝙣𝙩𝙖𝙨 𝙙𝙚 𝘽𝙪𝙞𝙡𝙙 𝙚 𝘽𝙪𝙣𝙙𝙡𝙞𝙣𝙜

𝗪𝗲𝗯𝗽𝗮𝗰𝗸
- Description: A popular bundling tool that, combined with Module Federation, simplifies the implementation of microfrontends.
- Official Website
𝗣𝗮𝗿𝗰𝗲𝗹
- Description: A web application bundler with minimal configuration, well-suited for microfrontend projects.
- Official Website
𝗥𝗼𝗹𝗹𝘂𝗽
- Description: An efficient bundler for creating packages in microfrontend applications.
- Official Website

𝙊𝙧𝙘𝙝𝙚𝙨𝙩𝙧𝙖𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙄𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣 𝙏𝙤𝙤𝙡𝙨

𝗙𝗿𝗶𝗻𝘁𝗝𝗦
- Description: A modular framework for building microfrontends.
- Official Website
𝗠𝗶𝗰𝗿𝗼 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸
- Description: Facilitates the creation of microfrontend architectures by integrating multiple front-end applications.
Official Website

𝘾𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙎𝙩𝙖𝙩𝙚 𝙈𝙖𝙣𝙖𝙜𝙚𝙢𝙚𝙣𝙩 𝙏𝙤𝙤𝙡𝙨

𝗥𝗲𝗱𝘂𝘅
- Description: A popular state management library, useful for handling shared state across microfrontends.
- Official Website
𝗠𝗼𝗯𝗫
- Description: A library for reactive state management.
- Official Website
𝗥𝘅𝗝𝗦
- Description: A library for reactive programming that aids communication between microfrontends.
- Official Website

𝙐𝙄 𝙖𝙣𝙙 𝘾𝙤𝙢𝙥𝙤𝙣𝙚𝙣𝙩 𝙏𝙤𝙤𝙡𝙨

𝗦𝘁𝗼𝗿𝘆𝗯𝗼𝗼𝗸
- Description: A tool for developing and testing UI components in isolation.
- Official Website
𝗕𝗶𝘁
- Description: A platform for sharing and reusing components across different projects.
- Official Website

𝙄𝙢𝙥𝙡𝙚𝙢𝙚𝙣𝙩𝙖𝙩𝙞𝙤𝙣 𝙋𝙧𝙖𝙘𝙩𝙞𝙘𝙚𝙨

𝗦𝘁𝘆𝗹𝗲 𝗜𝘀𝗼𝗹𝗮𝘁𝗶𝗼𝗻
- Description: Use CSS-in-JS or Shadow DOM to isolate styles between microfrontends.
- CSS-in-JS
- Shadow DOM
𝗪𝗲𝗯 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀
- Description: Use the Web Components specification to create custom, reusable elements across different microfrontends.
- Documentation

𝘿𝙚𝙫𝙊𝙥𝙨 𝙖𝙣𝙙 𝘿𝙚𝙥𝙡𝙤𝙮𝙢𝙚𝙣𝙩 𝙏𝙤𝙤𝙡𝙨

𝗗𝗼𝗰𝗸𝗲𝗿
- Description: Containerizes microfrontends for consistent development and deployment.
- Official Website
𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀
- Description: Orchestrates containers to scale and manage microfrontends.
- Official Website
𝗝𝗲𝗻𝗸𝗶𝗻𝘀
- Description: A CI/CD tool for automating build and deployment pipelines.
- Official Website

𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀

𝗠𝗶𝗰𝗿𝗼-𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗯𝘆 𝗖𝗮𝗺 𝗝𝗮𝗰𝗸𝘀𝗼𝗻
- Description: Detailed examples of different approaches to microfrontends.
- GitHub Repository

By leveraging these tools and practices, you can create a robust and scalable microfrontend architecture for your projects, enabling independent development and efficient integration across different parts of your application.

Securing Spring Boot Applications with Spring Security

Ricardo Maia — Tue, 06 Aug 2024 13:04:02 +0000

𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝗨𝗽 𝗦𝗽𝗿𝗶𝗻𝗴 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆
To begin with Spring Security, add the necessary dependency to your Spring Boot project's build file (Maven or Gradle):

Upon adding the dependency, Spring Boot will automatically configure Spring Security with its default settings.

𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗶𝗻𝗴 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Spring Security supports various authentication mechanisms, such as in-memory, JDBC, LDAP, and OAuth2. To configure authentication, create a Java class extending 𝚆𝚎𝚋𝚂𝚎𝚌𝚞𝚛𝚒𝚝𝚢𝙲𝚘𝚗𝚏𝚒𝚐𝚞𝚛𝚎𝚛𝙰𝚍𝚊𝚙𝚝𝚎𝚛 and override the 𝘤𝘰𝘯𝘧𝘪𝘨𝘶𝘳𝘦(𝘈𝘶𝘵𝘩𝘦𝘯𝘵𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘔𝘢𝘯𝘢𝘨𝘦𝘳𝘉𝘶𝘪𝘭𝘥𝘦𝘳 𝘢𝘶𝘵𝘩) method.

For instance, to set up in-memory authentication:

𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗶𝗻𝗴 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻
To set up role-based authorization, override the 𝘤𝘰𝘯𝘧𝘪𝘨𝘶𝘳𝘦(𝘏𝘵𝘵𝘱𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘩𝘵𝘵𝘱) method in your 𝚆𝚎𝚋𝚂𝚎𝚌𝚞𝚛𝚒𝚝𝚢𝙲𝚘𝚗𝚏𝚒𝚐𝚞𝚛𝚎𝚛𝙰𝚍𝚊𝚙𝚝𝚎𝚛 class. Define access rules for specific endpoints based on user roles:

𝗦𝗲𝗰𝘂𝗿𝗶𝗻𝗴 𝗥𝗘𝗦𝗧𝗳𝘂𝗹 𝗔𝗣𝗜𝘀
To secure RESTful APIs, use the same 𝘤𝘰𝘯𝘧𝘪𝘨𝘶𝘳𝘦(𝘏𝘵𝘵𝘱𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘩𝘵𝘵𝘱) method, configuring the authentication mechanism accordingly, such as using JWT or 𝗢𝗔𝘂𝘁𝗵𝟮. Additionally, set Spring Security to use stateless session management and disable CSRF protection:

𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻𝘀
Spring Security offers several additional configurations to enhance your application's security:

𝙀𝙣𝙖𝙗𝙡𝙚 𝙃𝙏𝙏𝙋𝙎: Configure an SSL certificate to ensure secure communication.
𝘾𝙤𝙣𝙛𝙞𝙜𝙪𝙧𝙚 𝘾𝙊𝙍𝙎 𝙖𝙣𝙙 𝘾𝙎𝙍𝙁 𝙥𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣: Handle cross-origin requests and protect against cross-site request forgery.
𝙇𝙞𝙢𝙞𝙩 𝙡𝙤𝙜𝙞𝙣 𝙖𝙩𝙩𝙚𝙢𝙥𝙩𝙨: Prevent brute force attacks by limiting the number of login attempts.
𝙄𝙢𝙥𝙡𝙚𝙢𝙚𝙣𝙩 𝙨𝙩𝙧𝙤𝙣𝙜 𝙥𝙖𝙨𝙨𝙬𝙤𝙧𝙙 𝙝𝙖𝙨𝙝𝙞𝙣𝙜: Use strong password encoders like 𝘉𝘊𝘳𝘺𝘱𝘵𝘗𝘢𝘴𝘴𝘸𝘰𝘳𝘥𝘌𝘯𝘤𝘰𝘥𝘦𝘳 for secure password storage.
𝙐𝙩𝙞𝙡𝙞𝙯𝙚 𝘾𝙤𝙣𝙩𝙚𝙣𝙩 𝙎𝙚𝙘𝙪𝙧𝙞𝙩𝙮 𝙋𝙤𝙡𝙞𝙘𝙮 (𝘾𝙎𝙋) 𝙝𝙚𝙖𝙙𝙚𝙧𝙨: Mitigate cross-site scripting (XSS) and other code injection attacks.
𝘾𝙤𝙣𝙛𝙞𝙜𝙪𝙧𝙚 𝙨𝙚𝙨𝙨𝙞𝙤𝙣 𝙩𝙞𝙢𝙚𝙤𝙪𝙩𝙨: Set automatic session invalidation after a specified period of inactivity.

By following these guidelines, you can significantly enhance the security of your Spring Boot applications, ensuring they are well-protected against various threats.

DEV Community: Ricardo Maia

Optimizing Component Performance in React

When using hooks, context or props ReactJs?

Differences between hook and context in react

What are Props React?

𝙆𝙚𝙮 𝙘𝙝𝙖𝙧𝙖𝙘𝙩𝙚𝙧𝙞𝙨𝙩𝙞𝙘𝙨 𝙤𝙛 𝙥𝙧𝙤𝙥𝙨:

𝗦𝗶𝗺𝗽𝗹𝗲 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝘂𝘀𝗶𝗻𝗴 `𝗽𝗿𝗼𝗽𝘀:

More advanced examples of props:

𝗦𝘂𝗺𝗺𝗮𝗿𝘆:

Using Java and Spring with Redis: Integration for Fast and Efficient Storage

𝘾𝙤𝙣𝙘𝙡𝙪𝙨𝙞𝙤𝙣

Java and Kafka: Integration for Real-Time Data Processing

#𝐉𝐚𝐯𝐚 𝐚𝐧𝐝 𝐑𝐚𝐛𝐛𝐢𝐭𝐌𝐐 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: 𝐀𝐬𝐲𝐧𝐜𝐡𝐫𝐨𝐧𝐨𝐮𝐬 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐐𝐮𝐞𝐮𝐞

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤?

𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗨𝘀𝗶𝗻𝗴 𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤

𝗝𝗮𝘃𝗮 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗨𝘀𝗶𝗻𝗴 𝗦𝗽𝗿𝗶𝗻𝗴 𝗔𝗠𝗤𝗣

𝗣𝗿𝗲𝗿𝗲𝗾𝘂𝗶𝘀𝗶𝘁𝗲𝘀

𝗠𝗮𝘃𝗲𝗻 𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀

𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻

𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝗲𝗿

𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿

𝗥𝗮𝗯𝗯𝗶𝘁𝗠𝗤 𝗤𝘂𝗲𝘂𝗲 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻

𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿 𝘁𝗼 𝗦𝗲𝗻𝗱 𝗠𝗲𝘀𝘀𝗮𝗴𝗲𝘀

𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻

𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻

Java #RabbitMQ #Microservices #MessageQueues #SoftwareArchitecture #SpringBoot

Thread in Java

- 𝗦𝘆𝘀𝘁𝗲𝗺 𝗼𝘃𝗲𝗿𝗵𝗲𝗮𝗱: Creating and managing threads adds overhead to the system.

𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮: 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀, 𝗮𝗻𝗱 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻

𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮: 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀, 𝗮𝗻𝗱 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻

Tools and libraries widely used in micro frontend architectures!

Securing Spring Boot Applications with Spring Security

𝙆𝙚𝙮 𝙘𝙝𝙖𝙧𝙖𝙘𝙩𝙚𝙧𝙞𝙨𝙩𝙞𝙘𝙨 𝙤𝙛 `𝙥𝙧𝙤𝙥𝙨`:

More advanced examples of `props`: