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gRPC with Java : Build Fast & Scalable Modern API & Microservices using Protocol Buffers

gRPC Java Master Class : Build Fast & Scalable Modern API for your Microservice using gRPC Protocol Buffers gRPC is a revolutionary and modern way to define and write APIs for your microservices. The days of REST, JSON and Swagger are over! Now writing an API is easy, simple, fast and efficient. gRPC is created by Google and Square, is an official CNCF project (like Docker and Kubernetes) and is now used by the biggest tech companies such as Netflix, CoreOS, CockRoachDB, and so on! gRPC is very popular and has over 15,000 stars on GitHub (2 times what Kafka has!). I am convinced that gRPC is the FUTURE for writing API for microservices so I want to give you a chance to learn about it TODAY. Amongst the advantage of gRPC: 1) All your APIs and messages are simply defined using Protocol Buffers 2) All your server and client code for any programming language gets generated automatically for free! Saves you hours of programming 3) Data is compact and serialised 4) API ...

Let's Understand Ten Machine Learning Algorithms

Ten Machine Learning Algorithms to Learn Machine Learning Practitioners have different personalities. While some of them are “I am an expert in X and X can train on any type of data”, where X = some algorithm, some others are “Right tool for the right job people”. A lot of them also subscribe to “Jack of all trades. Master of one” strategy, where they have one area of deep expertise and know slightly about different fields of Machine Learning. That said, no one can deny the fact that as practicing Data Scientists, we will have to know basics of some common machine learning algorithms, which would help us engage with a new-domain problem we come across. This is a whirlwind tour of common machine learning algorithms and quick resources about them which can help you get started on them. 1. Principal Component Analysis(PCA)/SVD PCA is an unsupervised method to understand global properties of a dataset consisting of vectors. Covariance Matrix of data points is analyzed here to un...

Automatic Builds With GCP Cloud Build

Automatic Builds With GCP Cloud Build If you are looking for an easy way to automatically build your application in the cloud, then maybe Google Cloud Platform (GCP) Cloud Build is for you. In this post, we will build a Spring Boot Maven project with Cloud Build, create a Docker image for it, and push it to GCP Container Registry. 1. Introduction Cloud Build is the build server tooling of GCP, something similar as Jenkins. But, Cloud Build is available out-of-the-box in your GCP account and that is a major advantage. The only thing you will need is a build configuration file in your git repository containing the build steps. Each build step is running in its own Docker container. Several cloud builders which can be used as a build step are generally available. You can read more about Cloud Build on the overview and concepts website of GCP. There are three categories of build steps: Official cloud builders provided by GCP; Community cloud ...

Big Data & Microservices - Know How?

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