Cloud Infrastructure Management Using AWS Systems Manager (SSM) — Part 01

Managing a hybrid Cloud infrastructure using a traditional tool set could result in many challenges.

Handling Elastic Network Interface(s) (ENIs) in AWS

Shows how we can map single EC2 instances to multiple Network Interfaces via Multiple Elastic IPs.

React Native Web

A library to build Web and Mobile Applications using a single codebase.

AWS Web Application Firewall (WAF)

Highly Configurable and Scalable, Cloud Native web application Layer-7 firewall giving you the first line of defense


The fully managed, highly available AWS Shared Key Management Infrastructure

AWS Inspector

This blog primarily talks about how AWS Textract [1] can be leveraged, along with other AWS services, to extract document/image data into a NOSQL database (DynamoDB) for further processing. Auxenta has used this solution architecture for multiple client engagements in the AWS stack.

IPv6 Networking with AWS VPC

In this blog we will discuss what you can actually do with IPv6 Networking with AWS VPC. This is a slightly longer read than usual, but I’ll try to keep it brief so we can understand the basics comprehensively.

Creating EC2 Custom Metrics via CloudWatch Monitoring Scripts

We all know EC2 Monitoring can be done in two levels in AWS.

Building an OCR Backend with AWS Textract – A Case Study

This blog primarily talks about how AWS Textract [1] can be leveraged, along with other AWS services, to extract document/image data into a NOSQL database (DynamoDB) for further processing. Auxenta has used this solution architecture for multiple client engagements in the AWS stack.

Analyzing AWS VPC Flow Logs via CloudWatch Logs Insight and Athena

This blog post explains how we can leverage CloudWatch Logs Insight and Athena to analyze AWS VPC Flow logs in real time.

Using AWS ACM with CloudFront and Route 53 to Secure your Cloud Domains

If you’re into AWS System Operations, you may have come across certain bottlenecks while using AWS CloudFront with AWS Certification Manager (ACM). Though this process looks a pretty straight forward one, there are certain finer points that you need to be mindful about.

EBS Volume Resizing

AWS EBS (Elastic Block Storage) is a network drive that you can easily attach to your EC2 instances. You can attach more than one EBS volume to an EC2 instance and you can even resize any of these attached volumes without a downtime of the EC2 instance.

AWS EBS GP2 Volume Bursting using fio

As you maybe aware, there are four EBS volume types available in AWS.

Production Level Load Balancing Using SSM Enabled EC2 Instances in Private Subnets

We all know Load Balancing is a way of dealing with High Availability in any Cloud deployment. In AWS, we have three types of Load Balancers (Classic, Application and Network).

AWS Aurora - Why is it better?

Amazon Aurora, part of the Amazon RDS family, is a fully managed MySQL and PostgreSQL compatible, relational database engine that combines high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

User Authentication and Authorization with AWS Cognito

AWS Cognito is a server-less authentication service for web applications that can be leveraged to handle user data and authentication flows within any database or server. It provides administrators with the ability to configure their own identity (authentication) provider and have control over management features such as user sign up, sign in and password management.

Secure AWS API Gateway Using a Lambda Authorizer

Amazon API Gateway enables you to create and deploy your own REST and WebSocket APIs at any scale. You can create robust, secure, and scalable APIs that access AWS or other web services, as well as data that’s stored in the AWS Cloud. You can create APIs to use in your own client applications or you can make your APIs available to third-party app developers.

AWS Textract with Lambda Walkthrough

AWS Textract is a document text extraction service. “Amazon Textract is based on the same proven, highly scalable, deep-learning technology that was developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. You don’t need any machine learning expertise to use it” — AWS Docs

Push Notifications with Titanium and Firebase

In this blog, I hope to give you a basic knowledge on how to implement push notifications with appcelerator titanium and firebase. Firebase is a platform that offers various...

Decision Tree in Machine Learning

Algorithms are step-by-step computational procedures for solving a problem, similar to decision-making flowcharts, used for information processing, mathematical calculation, and other related operations...

Microservices with Azure Kubernetes and Docker

This blog will provide an understanding of microservices architecture followed by data issues that arise when working with microservices. It will then provide an overview of the demo microservices application...

Microsoft Cognitive Services – Connect the Dots with AI Services

Microsoft Cognitive Services is a set of cloud services available for developers to build intelligent applications without having direct Machine Learning or Data Science knowledge. Services are ready to be consumed through easy-to-use APIs without any hassle. Microsoft highlights this catalog of services within the Azure stack as another supportive initiative towards democratization of artificial intelligence.

Android Things

The Global Mobile Trends 2017 Report [2] confirms that three quarters of the population is now connected to the Internet via mobile phones. The Internet of things (IoT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these things to connect, collect and exchange data [5]. The IoT concept was first introduced by Kevin Ashton, co-founder of the Auto-ID Center at MIT when he wanted to present the idea of radio frequency ID (RFID) to Procter & Gamble (P&G) in 1999 [6].

Implementing an Open Data Platform using DKan on AWS

In the Open Data concept, certain organizational data are freely available for anyone to use and republish as they wish, without any restrictions (copyrights, patents, etc.). This is similar to concepts such as Open Source, Open Hardware, Open Government, and Open Knowledge.

Creating a Site-to-Site VPN between AWS VPC and a third-party network using Openswan

M ost third-party applications have restricted access through the public Internet due to an organization’s security boundaries. If applications are hosted in AWS, creating a site-to-site VPN can provide access to these kind of networks.

Relationship Insights in Dynamics 365

It is interesting to see how intelligent components come in to play in Dynamics 365. Let’s have a look at Relationship Insights, which is a key set of features within the Embedded Intelligence suite. The suite analyses Dynamics 365 data as well as the Microsoft Exchange database to produce constructive insights to understand relationships through behavior of relationships.

Identity and Access Management (IAM) in Microservices using Keycloak

Securing an enterprise application is a key aspect of modern enterprise application development. There are plenty of mechanisms to secure such applications, especially in distributed environments. Identity and Access Management (IAM) system is one of those very popular security components in a modern day distributed application.

Using Terraform as an Infrastructure as Code (IaC) on AWS

DevOps is the combination of cultural philosophies, practices, and tools that increase an organization’s ability to deliver applications and services at high velocity; evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes [1]. It is a software development method, which can bring software development and operational activities together.

Running a Spark Job using PySpark on AWS EMR

Spark is considered as one of the data processing engines which is preferable, for usage in a vast range of situations. Data Scientists and application developers integrate Spark into their own implementations in order to transform, analyze and query data at a larger scale.

Simple IOS Image Caching Technique

Loading a large number of images asynchronously in a scrollable view like  UITableView or UICollectionView can be a common task. However, keeping the app responsive in terms of scrolling while images are being downloaded can be a bit of a challenge. In worst cases, we have also experienced app crashes.

AWS Redshift Optimization

Amazon Redshift is a fast, fully managed, petabyte-scaled data warehouse solution, that uses columnar storage to minimize Input/Output (I/O), provide high data compression rates, and offer fast performance. As a typical Data Warehouse, it is primarily designed for Online Analytic Processing (OLAP) and Business Intelligence (BI) and not designed to use as an Online Transaction Processing (OLTP) tool. It supports Ansi-SQL and is a massively parallel processing database.

Implementing an Enterprise Data Lake using AWS – A Case Study

One of the leading independent investment management company was seeking to implement a cloud-based Enterprise Data Lake (EDL), Enterprise Data Warehouse (EDW) and an Enterprise Data Pipeline (EDP) that leverage both the AWS services as well as other complimentary open source tools in the market.

An AWS Data Integration platform for Data Analytics and Machine Learning

The Project is an AWS based solution to provide a data integration platform that can accelerate digital analytics capture of the customer journey and identify some of the buying/cancellation patterns using Machine Learning (ML) approaches for one of the world’s most widely recognized cruise brands.

Implementing a Big Data Pipeline using AWS and Open Source Frameworks – A Case Study

The client is a top American company specialized in the use of marketing to sell home care, health and beauty products. The company’s global data platform has a legacy data warehouse to store various marketing data for generating BI reports.

Data Lake Reference Architecture

Data lake is a single platform which is made up of, a combination of data governance, analytics and storage. It’s a secure, durable and centralized cloud-based storage platform that lets you to ingest and store, structured and unstructured data. It also allows us to make necessary transformations on the raw data assets as needed. A comprehensive portfolio of data exploration, reporting, analytics, machine learning, and visualization on the data can be done by utilizing this data lake architecture.

Basics of K-Means Clustering

Machine Learning is considered as the execution of utilizing the existing algorithms, in order to inject data, grasp from it, and then make a resolution or forecast about something. So rather than developing software procedures with a certain set of directives to achieve a specific task, the machine is instructed using huge amounts of data and algorithms that provides it the capability to absorb, how to accomplish the endeavour.

Cloud Enabled DevOps Strategy on AWS

Any organization which is serious about releasing iterations of bug free software, in a frequent manner should have some level of DevOps processes in place in their delivery pipeline. The following post will discuss how to implement a DevOps continuous delivery/deployment pipeline in the AWS Cloud infrastructure.

Machine Learning with AWS

Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and too slow. First, you need to collect and prepare your training data to discover which elements of your data set are important. Then, you need to select which algorithm and framework you’ll use.

AWS Kinesis Firehose – Real-time data streaming on AWS

AWS Kinesis Firehose is a fully managed service for transforming and delivering streaming data to a given destination. A Destination can be a S3 bucket, Redshift cluster, Splunk or Elasticsearch Service. In the following tutorial I’ll walk you through the process of streaming CloudWatch Logs to a S3 bucket generated by an AWS Lambda function.

Building SaaS based Enterprise Cloud Applications – White Paper

According to NIST, “cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction (NIST, 2011The traditional approach incur a huge capital expenditure upfront along with too much excess capacity not allowing to predict the capacity based on the market demand.

Setting up a testing cluster using ClusterRunner

So you have written some tests for your project and now you are waiting for the test run to be completed to see if anything breaks due to the changes you have made by your last commit. Finally you can merge your changes to develop when everything seems green on your CI. But when the number of tests increases, their execution time will also increase.