Scala

Monads: Are they really that complicated?

I have been working on Scala for around 2.5 years now, but still, feel that I have yet to explore a lot in this language. There are still a lot of topics unexplored. One such topic is Monads. I have heard and read about it a lot of times but never actually got a chance to explore it. Recently I came across the term and Continue Reading

Flinkathon: First Step towards Flink’s DataStream API

In our previous blog posts: Flinkathon: Why Flink is better for Stateful Streaming applications? Flinkathon: What makes Flink better than Kafka Streams? We saw why Apache Flink is a better choice for streaming applications. In this blog post, we will explore how easy it is to express a streaming application using Apache Flink’s DataStream API. DataStream API DataStream API is used to develop regular programs Continue Reading

Store Git Credentials Encrypted

Hey folks in this blog post we would be looking over how we can store our git credentials in an encrypted format over linux remote servers, let’s first quickly have a look why we want to do it and what git provide us with as options. Git credentials helpers So git provide many types of credential helpers like Store The first and most basic type Continue Reading

Flinkathon: What makes Flink better than Kafka Streams?

Initially, I would like you all to focus on a few questions before comparing the frameworks:1. Is there any comparison or similarity between Flink and the Kafka?2. What could be better in Flink over the Kafka?3. Is it the problem or system requirement to use one over the other? Before talking about the Flink betterment and use cases over the Kafka, let’s first understand their Continue Reading

Knolx: Structured Streaming in Spark

Knoldus has organized a session on 08th February 2019. The topic was “Understanding Spark Structured Streaming”. Many people attended and enjoyed the session. In this blog post, I am going to share the slides & video of the session. Slides: Video: If you have any query, then please feel free to comment below.

Scala: Type Bounds

As we have already discussed in my last blog about the Type Parameterization concepts like Generics, Generic classes, and Variance. So to follow up, in this blog we’ll be discussing type bounds. Type Bounds: How can we create type parameter restrictions? To create them we make use of Scala type bounds. In Scala, Type Bounds are restrictions on Type Parameters or Type Variable. By using Type Continue Reading

Scala: Generic classes and Variance

Generic classes are classes which take a type as a parameter. This means, one class can be used with different types without actually writing down it multiple times. They are particularly useful for collection classes. Defining a generic class: Generic classes take a type as a parameter within square brackets [ ]. One convention is to use the letter A as type parameter identifier, though Continue Reading

Commit Log: A commitment that Cassandra provides.

Welcome back, everyone. I have been working on Cassandra for quite some time now but never actually got to explore its working in depth. We know that its decentralized nature, as well as its ability to handle such a large volume of writes, makes it really commendable. But how does it manage to be efficient? How is it able to achieve what it is so Continue Reading

Data Ingestion in Druid – Overview

Hey folks, nowadays Big Data is the most trending topic and most of us are familiar with it as well as all the trending technologies. One of them is Druid which is a distributed, column-oriented, real-time analytical data store. A quick recap on Druid can be found on the blog posts https://blog.knoldus.com/introducing-druid-realtime-fast-data-analytics-database/. In this blog post, we will be discussing how data ingestion can be done in Continue Reading

Scala Extractors

Type Parameterization and Type System: Introduction

Scala is a static type language, which means types are checked at compile time instead of runtime. Type System provides safety during the compile time because we are detecting the error beforehand as these can be a potential error at runtime. Type parameterization also called as generics combined with Scala’s type system. We can write generic code so that we can reuse that code. Suppose, Continue Reading

Apigee Shared Flow

Hi All, In this blog, I’ll be talking about Apigee Shared Flow. Those who are not very familiar with what Apigee is, let me give a brief description of the same. And, you can read more on this from the links provided further. Apigee Edge is a platform that helps in creating and managing API proxies. You can consider API proxy as a face for Continue Reading

Managing Kubernetes On-Premises

Kubernetes is a portable, extensible open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes builds upon a decade and a half of experience that Google has with running production workloads at scale, combined with best-of-breed ideas and practices from the community. Kubernetes services, support, and tools are widely available. A few months Continue Reading

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