There is no doubt that Google is one of the best managed Kubernetes service provider.
Google has introduced autopilot mode for GKE in General Availability (GA), with this new addition google is taking their game to another level.
Let's explore different modes of operation in GKE.
GKE offers 2 modes of operation.
In the Standard mode, we manage the nodes, infrastructure, and configurations.
There are 8 components while managing and running the application in Kubernetes.
Spark on Kubernetes
Apache Spark is an open-source, distributed processing system used for big data workloads. It utilizes in-memory caching, and optimized query execution for fast analytic queries against data of any size.
It’s faster than previous approaches to work with Big Data like classical MapReduce. The secret for being faster is that Spark runs on Memory (RAM), and that makes the processing much faster than on Disk.
It can be used for multiple things, like running distributed SQL, create data pipelines, ingest data into a database, run Machine Learning algorithms, work with graphs, data streams, and much more.
The increase in the demand for highly portable and platform-independent Applications gave rise to a high adoption rate for Docker and container orchestration services and the constant need for efficient deployment of these containers.
Every Cloud Vendor have their fair share of tools and services that can be used to deploy our applications, In this blog, we will focus on Azure.
Without further ado, let us start.
These below are the services that are used for storing, managing, and orchestration of the containerized applications.
Azure Kubernetes Service (AKS)
Azure Red Hat…
Achieve better performance, better security, better troubleshooting, being cloud-aware, automation with decreased cost post migrations.