[Work In Progress] Tables

Table Examples

Title Description

Introducing Lightbend Platform

Describes the benefits of using Lightbend Platform and the business use cases that it supports. Read From batch to streaming - the power of Lightbend Pipelines to get an overview of why streaming has become critical for processing data and how Lightbend Pipelines enables rapid development and deployment. Limitations of traditional architectures shows how reactive microservices can help you successfully meet the challenges of digital transformation and taking advantage of cloud computing.

Before you start: design and planning

For those new to Reactive microservices, streaming, or Kubernetes-based platforms, this section contains fundamental information to help you get the most out of your efforts. Read Planning a microservices project to start with the Lightbend Platform tool that best fits your team and requirements. Planning for streaming data and analysis lists some important factors to keep in mind when working with streaming data. Deployment platform recommendations provides an overview of Kubernetes-based platforms and provides tips and guidelines that will help when setting up environments for development and testing or for production.

Getting started

Describes how to obtain a Lightbend Platform subscription and explains support terminology. Preparing a development environment shows you how to add the appropriate credentials to your build structure and how to set up a local Kubernetes cluster for testing. Setting up a production environment provides helpful links and tips for setting up a multi-cluster Kubernetes-based production environment. Lightbend Platform specifics

Name of Column 1 Name of Column 2

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 1, row 3

Cell in column 2, row 3

Name of Column 1 Name of Column 2

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Name of Column 1 Name of Column 2 Name of Column 3

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 3, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 3, row 2

Name of Column 1 Name of Column 2 Name of Column 3

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 3, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 3, row 2

Name of Column 1 Name of Column 2 Name of Column 3

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 3, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 3, row 2

Name of Column 1 Name of Column 2 Name of Column 3

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 3, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 3, row 2

Name of Column 1 Name of Column 2 Name of Column 3

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 3, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 3, row 2

Table A. A formal table
Name of Column 1 Name of Column 2

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 1, row 1

Cell in column 2, row 1

Cell in column 3, row 1

Cell in column 1, row 2

Cell in column 2, row 2

Cell in column 3, row 2

Source Code 1 Source Code 2
import os
print "%s" %(os.uname())
import os
print ("%s" %(os.uname()))