DevOps — AWS CI/CD

Build a serverless and fully automated CI/CD pipeline in 20 minutes.

In this article, we will build a 4 step CI/CD pipeline using AWS native tools. To understand conceptually about CI/CD pipeline highly recommend revisiting previous article Continuous Integration & Continuous Delivery — Myths, Pitfall and, Practical Approach.

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Four-Step CI/CD Pipeline on AWS

In this article, we will brainstorm the thought process and the reasoning behind choosing the tools to build CI/CD pipeline. On the AWS platform, we will build a simple web application hosted on the EC2 server and use all AWS native services. A quick brief about what is important in choosing the right tools for CI/CD implementation:

Security — The first step in any implementation should be security. Collectively application architecture, hardware, network, and data should contribute towards building a secure environment. …

DevOps - CI/CD

CI/CD is more than just tools. Design secured, scalable, robust and automated enterprise CI/CD solution.

In this article series, we will holistically discuss CI/CD, myths, pitfalls, and then in the next article we will continue practical demonstration of CI/CD pipeline on AWS and separately demonstrate CI/CD pipeline with GitHub, Jenkins, and code deploy.

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Image by Robson Machado from Pixabay

In today’s rapidly changing world, technological disruption has become a norm and has improved the way organizations are doing business. Organizations are trying to stay lean as it allows them to quickly change, adapt to newer technologies and drive innovation quickly. This brings in DevOps which is not new but has seen a lot of implementations in the last few years. DevOps is a philosophical approach for software development and operations. Its core lies in promoting collaborative culture, drive speed of innovation, and enable automated software management & delivery. …

Best data lake recipe lies in holistic inclusion of architecture, security, network, storage and data governance.

I started writing this post with the intention to demonstrate a practical approach on how to build a data lake on AWS and Azure. However realized its important to first discuss some of the best architecture patterns before going deep with hand-on. I will be writing a few more posts on demonstrating a practical approach as well.

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Data-driven outcomes, forecasting, and predicting business trends is essential to any business. Today we see at least some sort of analytics in everything we do. Right from clicking on a website (Clickstream analytics), buying online (Customer behavior), Genetics, CRM, utilities, healthcare, and even elections we see analytics being used. Analytics is not anymore, a question to gain a business edge, but it has become essential to remain in business. …

Real-world chatbot build workshop and integration with AWS services

Build Real scenarios with AWS LEX Chatbot
Build Real scenarios with AWS LEX Chatbot

The concept of Chatbot started in 1966. However, in recent times it has emerged as a hot technology. With the advancement of artificial intelligence (AI) and machine learning (ML), businesses are inclining towards using chatbots to drive better marketing, enterprise services, knowledge management, and customer services across all business verticals.

As per Gartner's report, “By 2020, 70% of white-collar workers will interact with conversational platforms on a daily basis”.

There are many enterprise chatbot solutions in the market. However, the adoption of amazon chatbot service “Lex” is on the rise.

Below are a few features that stand Amazon Lex out from rest. …


Rashim Parmar

Seasoned Analytics and Cloud Architect with more than a decade experience. You can reach me on my linkedin profile

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