“It’s not a bug — it’s an undocumented feature.”
This is the fifth part of the five-part series — “ From Sandbox to K8S: Deploying a Streamlit based object detection application using Minikube.”
Ingress
“If you don’t understand recursion then read this again”
This is the fourth part of the five-part series — “ From Sandbox to K8S: Deploying a Streamlit based object detection application using Minikube.”
Containerization
“If the code doesn’t bother you, don’t bother it.”
This is the third part of the five-part series — “ From Sandbox to K8S: Deploying a Streamlit based object detection application using Minikube.”
- Part 0: Prologue
- Part 1: What the heck is Kubernetes?
- Part 2: Streamlit based object detection application
- Part 3: Familiarizing the environment
- Part 4: The Crux
- Part 5: A Little Bit of Polishing
Everything in K8S is an object that can be created, modified or deleted by interacting with the kube-apiserver. There are multiple ways to interact with the kube-apiserver, command-line interface tool, i.e. kubectl or using…
“There’s no place like 127.0.0.1”
This is the second part of the five-part series — “ From Sandbox to K8S: Deploying a Streamlit based object detection application using Minikube.”
Streamlit
Streamlit is an open-source python library that aids in rapid developed and deployment of web-based applications. Of late it has gathered significant attention in the data science community because of the simplicity that it brings in developing attractive…
“There are only 10 types of people in the world: Those who understand binary and those who don’t.”
This is the first part of the five-part series — “ From Sandbox to K8S: Deploying a Streamlit based object detection application using Minikube.”
Why should you care?
Deploying a machine learning model (or for that matter, any piece of software) into production is one of the most crucial steps in developing AI-based…
“Before a software can be reusable, it first has to be usable.”
- Ralph Johnson
I am sure every dev-ops engineer out there will truly appreciate how much Docker technology has revolutionized the way people deploy applications by bringing in portability, flexibility, faster software delivery cycles and much more! Gone are the days where enterprises deploy their applications on virtual machines that consume gigabytes of memory and adding unnecessary overheads like setting up dependencies, services and configuration files for each application, thus bloating-up the operational cost. …
We are living in an age where every day about 500 million tweets are being sent out, every hour about 4 million photos are being uploaded to Instagram, every minute about 300 hours of video is being uploaded to YouTube, every second about 750,000 messages are being sent in WhatsApp, every millisecond about 2900 emails are being sent and the list goes on. The amount of data collected per day by 2025 is estimated to be about 463 exabytes!. Developing machine learning or deep learning algorithms that consume such voluminous data is going to be a challenge for data scientists…
Parthasarathy Subburaj
Helping computers see and understand the world as we do!
