If your answer is yes, the IBM “Build Lab” team (the team I’m part of) provides an end-to-end solution which make it easy to deploy and use a fully operational NLP solution in just an hour. And this solution could be used right away. But before doing that, maybe some introduction of what this automation provides to our DevOps engineers/SREs (or any other curious tech savvy) public.

Preamble — What is the Watson NLP and why it could interest you?

The “Watson Natural Language Processing (NLP) Library for Embed” provides natural language processing functions for syntax analysis, and pre-trained models for a wide variety of text processing tasks, in a fully embeddable library.

The product page could be found here: https://www.ibm.com/partnerworld/program/embeddableai

Through deployment of a GitOps model, developers can delivery self-reconciliation and self-healing across Kubernetes clusters, without using a CI/CD system, and scale horizontally at massive scale.

Below I provide a walkthrough of GitOps from a 50,000 ft. view.

- Why is GitOps Important?

- How Does GitOps Impact Cloud Security?

- What is Policy as Code?

Since the term was first coined in 2017, GitOps has provided a new operating model for developing, delivering, testing, and deploying cloud-native infrastructure.

On a chilly November morning in 2020, it's GitOps Days, and we heard Alexis Richardson via Video Conferencing speak. Git allowed us to do Cloud-native development. It gave us the tooling for a distributed source control, continuous integration, container image distribution, and others.