Posts

Jumpstart AI - The Google Vertex AI Series is now available on my Youtube channel. Explore and learn how to build end to end solutions with Google Vertex AI.

Vertex AI is a unified ML platform from Google Cloud that provides end to journey for building and deploying your ML Models. This is 4 part series which demonstrates the complete functionality of Vertex AI using a Retail AI use case.

Link to the playlist - https://lnkd.in/eiaK9pcR

Do subscribe to my channel to receive regular updates - https://lnkd.in/eQnQACE

Enterprise IoT Architecture Reference - Learn how to build IoT applications using this comprehensive reference Enterprise IoT architecture guide.

For more updates subscribe to my channel - https://lnkd.in/eQnQACE

Ethical AI is simple words is about ensuring your AI models are fair, ethical and unbiased. Learn how to build ethical and responsible AI applications in my new blog -

https://lnkd.in/enW2cdN4

Migrate to AWS Cloud - Check out my detail video on how to migrate applications from any cloud vendor to AWS stack.

Link to the video - https://lnkd.in/ejpUv9Mv

Please do subscribe to my youtube channel for more updates - https://lnkd.in/eQnQACE

Connect on - https://lnkd.in/e-XitG6M

Cloud Migration - A well crafted cloud architecture and design can enable seamless migration across cloud providers.

I am sharing the findings and best practices for migrating the cloud stack to AWS cloud as part of the #multicloud strategy.

Great new feature to track carbon emissions in Google Cloud. The image shows the carbon emission for my #Anthos environment and products used. Good data to start reduction.

More details at https://lnkd.in/e2F8EsjZ

The real value of IIoT is about deriving actionable business insight and data is the key to deliver that value. Ready my views on how to build an effective IIoT strategy.

Link to article - https://lnkd.in/er6Az5BS

Google Vertex AI Demo - Learn how to realize Retail AI use cases using Google Vertex AI.

Vertex AI is a unified ML platform that provides end to journey for building and deploying your ML Models.

Link to youtube - https://lnkd.in/g_ni9vXq

Please subscribe to my channel for regular updates - https://lnkd.in/eQnQACE

Digital Transformation - Glad to share my views on “Driving Manufacturing Transformation with IIoT” in the cover story of Industrial Automation Magazine.

Link to content - https://lnkd.in/eqSb6zFH

Download the October edition of #industrialautomation magazine from - https://lnkd.in/ee7SF84D

Thank you INDUSTRIAL AUTOMATION MAGAZINE , Benedicta Chettiar and Milton D’Silva for the invitation to contribute to the story.

If you are building IIoT applications, do checkout my Enterprise IoT Book at
https://lnkd.in/etY8prBf

Download the comprehensive reference architecture to build Digital and IoT applications on any cloud platform.

Migrate VM and Containers to AWS - Learn how to migrate managed services like Google App Engine to AWS.

Link to the video - https://lnkd.in/eXKq2Uxc

Do subscribe to the channel for weekly updates - https://lnkd.in/eQnQACE

IoT Applications on AWS - Learn how how to realize Internet of Things use case using Amazon Web Services (AWS)

Link to my blog - https://lnkd.in/eBSujN_3

Production Ready Microservices on Google Cloud Handbook - Learn how to setup secure end-to-end production environment on Google Cloud using this reference guide.

Following topics are covered -
Create a VPN
Create a private instance of Google Kubernetes Cluster.
Create Cloud NAT configuration.
Download the microservice application and deployment scripts from GitHub.
Build the microservice container.
Push the microservice container to the google container registry.
Deploy google endpoint for the project and setup health alerts
Create Workload, Service, and Ingress (GCE ingress).
Invoke the microservice.
Configure Cloud Armor.
Test the microservices with Cloud Armor.

Production Ready Microservices on Google Cloud Book - Learn how to setup secure production environment on Google Cloud.

Following topics are covered -
Create a VPN
Create a private instance of Google Kubernetes Cluster.
Create Cloud NAT configuration.
Download the microservice application and deployment scripts from GitHub.
Build the microservice container.
Push the microservice container to the google container registry.
Deploy google endpoint for the project and setup health alerts
Create Workload, Service, and Ingress (GCE ingress).
Invoke the microservice.
Configure Cloud Armor.
Test the microservices with Cloud Armor.

#cloud #kubernetes #microservices #googlecloud #gcp #cloudarmor #gke #googleendpoint

For more updates, do visit - https://lnkd.in/eSGYsWt or subscribe to youtube channel for regular updates - https://lnkd.in/eQnQACE

Production Ready Microservices on Google Cloud -  Learn how to setup a secure end-2-end production environment on Google Cloud.

Following topics are covered -
Create a VPN
Create a private instance of Google Kubernetes Cluster.
Create Cloud NAT configuration.
Download the microservice application and deployment scripts from GitHub.
Build the microservice container.
Push the microservice container to the google container registry.
Deploy google endpoint for the project and setup health alerts
Create Workload, Service, and Ingress (GCE ingress).
Invoke the microservice.
Configure Cloud Armor.
Test the microservices with Cloud Armor.

#cloud #kubernetes #microservices #googlecloud #gcp #cloudarmor #gke #googleendpoint

For more updates, do visit - https://lnkd.in/eSGYsWt or subscribe to youtube channel for regular updates - https://lnkd.in/eQnQACE

AWS Cloud Migration and Strategy Video - Watch my detail video on how to migrate a micro services application from any cloud vendor to AWS cloud.

I see a lot of interest on cloud migration based on my earlier post, so
sharing the complete video on AWS Cloud Migration.  Thank you #linkedin network for comments and feedback, please feel free to connect me on LinkedIn.

Link to video - https://lnkd.in/ejpUv9Mv

Please subscribe to my channel for regular updates on Cloud technology - https://lnkd.in/eQnQACE

Blockchain Reference Architecture - The reference architecture described in the document can be used as a foundation for implementing blockchain applications for industry-wide use cases.  One can follow the reference architecture to design both permissioned (private) as well as permissionless (public) blockchain applications.

Cloud native is basically a methodology where you can build application once and deploy in any cloud environment- be it single, multi cloud, hybrid, edge or for that matter any environment, in a consistent way that can be scaled independently, measured and continuously optimized and the combination of technologies like micro services, containers and devOps plays a key role in achieving cloud-native applications.

In this video, I describe how software deployment and deployment has been evolved over the years and the evolution of cloud native applications

Link to video - https://lnkd.in/eMTsxaC

Link to my channel. Please do subscribe for regular updates - https://lnkd.in/eQnQACE

Cloud Migration - A well crafted cloud architecture and design can enable seamless migration across cloud providers.

I am sharing our findings and best practices for migrating the cloud stack to AWS cloud as part of our #multicloud strategy.

Cloud Data security - Protecting confidential and PII data (Personally identifiable information) is one of the important aspect of any application.

Learn how to sanitize and mask sensitive or PII data for your cloud application using Google Cloud Data Loss Prevention service.

Link - https://lnkd.in/eKRmr7-B