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Showing posts from January, 2023

Observability Done Right: Best Practices and Anti-Patterns for Effective System Monitoring

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  WHAT Observability is a concept that refers to the ability to gain insights into the behavior and performance of complex systems. In the context of software engineering, observability involves the collection, analysis, and visualization of data from software applications, infrastructure, and other components of a system. In the animal kingdom, observability plays a critical role in survival, allowing animals to monitor their surroundings, detect threats, and find food. Dolphins use echolocation to observe their surroundings. They emit high-frequency sounds that bounce off objects, allowing them to create a 3D map of their environment. Thanks for reading Knowledge Cafe! Subscribe for free to receive new posts and support my work. Subscribed WHY In today's era, architectures are becoming increasingly large, complex, and fast-paced due to the faster development and deployment of software by distributed teams with the help of DevOps, continuous delivery, and agile development methodo...
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Maximizing Efficiency with Spring Annotations: Best Practices and Tips

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  Annotation-Driven Development in Spring and Performance What is Annotation Driven Development Annotation-driven development is a programming paradigm that relies on the use of annotations to provide metadata about a class, method, or field. This metadata is then used by the framework or runtime environment to configure and manage dependencies, define transaction boundaries, map web requests, and more. In the context of the Spring framework, annotation-driven development refers to the use of annotations to configure and manage dependencies within the application. For example, instead of using XML configuration files to define beans and their properties, developers can use annotations such as @Component, @Service, and @Repository to define these beans and their properties directly in the code. How Annotation Works Here’s a brief overview of how Spring annotations work: Annotation scanning: When the Spring Framework starts up, it scans the classpath for classes that are annotated wi...
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The Importance of Load Balancing in Building Scalable Applications

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                                     What is Load balancer? In the context of application auto scaling, a load balancer is used to distribute incoming traffic to multiple instances of an application. As the traffic to the application increases, more instances of the application are automatically spawned to handle the additional load, and the load balancer automatically directs traffic to these new instances. Conversely, as traffic decreases, instances that are no longer needed are terminated, and the load balancer stops directing traffic to them. This allows the system to automatically scale up or down based on network traffic. Client side Load balancing Client-side load balancing is a technique where the client is responsible for distributing incoming requests to different servers. This is typically done by the client using a load balancing algorithm to select the server to whi...
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Effective rate limiting strategies for Spring Boot applications

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  What is Rate Limiting? Rate limiting is a technique to control the rate of access to APIs. It enforces a limit on the number of API calls that a client can make within a specific time period. This helps protect the API from excessive usage, whether it is accidental or intentional. Rate limiting is a key technique in managing and protecting APIs, it helps to prevent overuse, defend against DDoS attacks, enforce fair usage, improve scalability, and facilitate billing. Rate Limiting Algorithms There are several algorithms that can be used to implement rate limiting, including: Token Bucket:  This algorithm works by allowing a certain number of requests (tokens) to be made within a specific time period. When a request is made, a token is removed from the bucket. If the bucket is empty, the request is denied. Leaky Bucket:  This algorithm is similar to the token bucket, but instead of denying requests when the bucket is empty, it allows the requests to be made, but at a slow...
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Building Scalable and Resilient Systems

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What is Event Driven Architecture (EDA) In an event-driven architecture, events are the primary unit of communication between different components of a system. Event producers generate events, which are then sent to an event router or message broker. The event router filters and routes the events to the appropriate event consumers, which take appropriate action based on the events they receive. This decoupling of event producers and consumers allows for a loosely coupled and asynchronous communication between different parts of the system, making it more scalable, flexible, and resilient. The event-driven architecture is well-suited for real-time systems such as IoT, online gaming, financial trading, and real-time analytics. Ways to Implement EDA Event-driven architecture (EDA) can be implemented in a variety of ways, depending on the specific requirements of the system. Here are a few common ways to implement EDA: Using a message broker:  A message broker, such as Apache Kafka or ...
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gRPC and Spring Boot: A Match Made in Heaven

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  What is gRPC: gRPC is a modern, high-performance, and lightweight open source framework for building scalable, distributed systems. It is a highly efficient and low-latency framework, designed to work over a variety of transport layers, such as TCP, HTTP/2, or even unencrypted UDP. gRPC supports multiple programming languages, such as C++, Java, Python, Go, and Ruby, so it can be used to build a wide range of applications and services. To know more about gRPC and REST API comparison here is  my blog link: What is Spring Boot: Spring Boot is a popular open source framework for building web applications and microservices using the Spring framework. Some key features and benefits of Spring Boot: Auto-configuration, Embedded Servers, Standalone application, Ease of integration with other OSS projects like spring cloud, Spring data, Apache camel, Kafka etc. Here is an example of a gRPC service implemented using Spring Boot: Step 1: Start by adding the gRPC and Spring Boot depende...
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