Deploying Python Application on Docker & Kubernetes

Overview In this post, We’ll share the process how you can Develop and Deploy Python Application using Docker and Kubernetes and adopt DevOps in existing Python Applications. Prerequisites are mentioned below To follow this guide you need Kubernetes Kubectl Shared Persistent Storage – Option are GlusterFS, Ceph FS, AWS EBS, AzureDisk, etc. Python Application Source Code Dockerfile Container-Registry Kubernetes is … More Deploying Python Application on Docker & Kubernetes

Kubernetes Overview, Monitoring & Security

Kubernetes is an open-source container orchestration engine and also an abstraction layer for managing full stack operations of hosts and containers. From deployment, Scaling, Load Balancing and to rolling updates of containerized applications across multiple hosts within a cluster. Kubernetes make sure that your applications are in the desired state. Kubernetes 1.7 released on 29th … More Kubernetes Overview, Monitoring & Security

Data Ingestion using Apache NiFi for Building Data Lakes – Twitter Data – Part 1

What is Data Collection and Ingestion? Data Collection and Data Ingestion are the processes of fetching data from any data source which we can perform in two ways – Real-time Streaming Batch Streaming In Today’s World, Enterprises are generating data from different Sources and building Real Time Data lake; we need to Integrate various sources … More Data Ingestion using Apache NiFi for Building Data Lakes – Twitter Data – Part 1

How To Adopt DevOps in your Organization

While Scaling up the Business and working with remote teams with a different skill set and culture, I realize the need of processes and automation to improve the productivity and collaboration. At growth Stage, with 3+ Years experience of delivering more than 55 projects in various domains for Startups and Enterprises including – Mobility Big Data … More How To Adopt DevOps in your Organization

Anomaly Detection of Time Series Data Using Machine Learning & Deep Learning

Introduction to Time Series Data Time Series is defined as a set of observations taken at a particular period of time. For example, having a set of login details at regular interval of time of each user can be categorized as a time series. On the other hand, when the data is collected at once … More Anomaly Detection of Time Series Data Using Machine Learning & Deep Learning

Semantic Search Based on Domain Ontology Using Apache Spark & Jena

What is SEMANTIC ANALYSIS? The word semantic is a Linguistic term. It means something related to meaning in a language or logic. In a natural language, semantic analysis is relating the structures and occurrences of the words, phrases, clauses, paragraphs etc and understanding the idea of what’s written in particular text. Does the formation of the sentences, occurrences … More Semantic Search Based on Domain Ontology Using Apache Spark & Jena

Testing Strategies in Microservices Architecture

Introduction Microservices is an approach of developing an application by splitting it into smaller services, where each module run in its own process and communicating with each other in a lightweight mechanism. These services are independently deployed and fully automated. Microservices is a new term introduced which changed the architecture of the software development, moreover, it changes … More Testing Strategies in Microservices Architecture

Understanding Dependency Management & Package Management in GO Language

Introduction GO is a new language and thanks to GO community, it has grown rapidly since the release of GO 1.0. yet, keeping its most fundamental principle of simplicity intact. Like other programming languages, GO has the approach for dependency management like npm in Node.js, the pip in Python. GO user and developer have been using go … More Understanding Dependency Management & Package Management in GO Language

Log Analytics With Deep Learning And Machine Learning

Deep Learning Deep Learning is a type of Neural Network Algorithm that takes metadata as an input and process the data through a number of layers of the non-linear transformation of the input data to compute the output. This algorithm has a unique feature i.e. automatic feature extraction. This means that this algorithm automatically grasps … More Log Analytics With Deep Learning And Machine Learning

Overview of Artificial Neural Networks and its Applications

What is Neural Network?  The term ‘Neural’ is derived from the human (animal) nervous system’s basic functional unit ‘neuron’ or nerve cells which are present in the brain and other parts of the human (animal) body. Structure of Neurons in Brain The typical nerve cell of human brain comprises of four parts – Dendrite – It … More Overview of Artificial Neural Networks and its Applications