As the name of the blog suggests, we will be taking the first steps to build a simple application from scratch using Couchbase as a database and spring -boot as a framework. Let’s get started. You can create a starter maven project using this link. Add Web, Lombok and Couchbase dependencies. The pom.xml should look like: Let’s run the spring boot application: How to download Continue Reading
In this blog, we will look into the various aspects like how we can manage the connection to a cluster and how we can configure the environment, CRUD operations related to document.
Kafka monitoring is an operation which is used for the optimization of the Kafka deployment. This process is easy and efficient, by applying one of the existing monitoring solutions instead of building your own. Let’s say, we use Apache Kafka for message transfer and processing and we want to monitor it.But, before learning the steps for monitoring, let’s first understand the prerequisites. Kafka It is Continue Reading
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Type of machine learning Supervised learning Unsupervised Learning Reinforcement Learning In Supervised Learning, algorithms learn from labeled data. After understanding Continue Reading
When we start with Akka we generally start with one actor system on our local machine but when we talk about the business application we can have multiple parts of an application and those part can run on different machine or node. Akka Remoting is a communication module to connect the actor system in peer to peer fashion. It also serves as the foundation for Continue Reading
We have already discussed the creation of Grafana dashboards and alerts in my previous blogs. We were doing that manually. But think of, if we need to do that in more than 10 environments then we need to repeat that manual process again and again and sometimes we get frustrated by doing all these repetitive stuff. We should have some automated process for doing this. So Continue Reading
It consists how we can invoke any REST service with WebClient using SpringBoot
I have been exploring Rust from the last few weeks, as it has been declared the most loving language in 2018. As a Scala/Java developer, I worked on many applications, which were related to the banking domain, web applications, mobile applications, e-commerce, social media, etc. But I was not able to find what kind of applications should be built in Rust? I have searched Rust’s Continue Reading
One thing that Cassandra provides is the “optimized for writes” feature. In Cassandra everything is a write including logical deletion of data which results in tombstones – we can call them special deletion records. Indeed the lack of understanding of tombstones is often the root cause of production issues that people experience with Cassandra. While working on the production cluster we have seen tombstones can Continue Reading
If you are reading this blog, it is supposed that you have already done with Part 1 No???? Then visit to the previous blog The alphabets of Artificial Neural Network first and comeback here for an awesome knowledge about Neural network working. We got the basic understanding of neural network so let’s get into deep. Let’s understand how neural networks work. Once you got the Continue Reading
In our previous blog post, Flinkathon: First Step towards Flink’s DataStream API, we created our first streaming application using Apache Flink. It was easy, clean, and concise. However, the real power of Apache Flink is seen on a cluster, where data is processed in a distributed manner, with the advantage of multi-core/multi-memory systems. So, in this blog post, we will see how to set up Continue Reading
In this blog post, we will look at an interesting feature extraction technique of Machine Learning known as Principal Component Analysis (PCA). PCA is one of the powerful techniques in dimensionality reduction, in fact, the de facto standard for human face recognition. Let’s first understand what is dimensionality reduction Dimensionality Reduction As an example let’s say we have a data set with many-many features(which is Continue Reading
Error Propagation means the code, that detects the problem, must propagate error information back to the caller function so that it can handle the problem. In the real world, the practice of Error Propagation is necessary. One of the benefits is that your code will look cleaner by simply propagating error information back to the caller that can handle the error and another benefit is Continue Reading
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