solutions

autosuggest^(String)

text^(List)

start^(Long)

start=0

rows^(Long)

rows=10

filters

solution name^(String)

see values

solution description^(String)

see values

price^(BigDecimal)

see values

Page ID^(String)

see values

solution auth resource^(String)

see values

email template^(String)

see values

store URL^(String)

see values

download URL^(String)

see values

Product Number^(Integer)

see values

imageUri^(String)

see values

created^{(ZonedDateTime)}

see values

modified^{(ZonedDateTime)}

see values

object type^(String)

see values

displayPage^(String)

see values

manage^(String)

see values

user^(String)

see values

download^(String)

see values

sort

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

ascending

descending

range

facet.range={!tag=r1}created

simple ranges

last few minutes last 1 hours

last 3 hours

last 6 hours

last 12 hours

last 24 hours

last 2 days

last 7 days

last few hours last 1 hours

last 3 hours

last 6 hours

last 12 hours

last 24 hours

last 2 days

last 7 days

last 30 days

last few days last 1 days

last 2 days

last 7 days

last 30 days

last 90 days

Range Gap	Year Month Week Day Hour Minute Second
Range Start (America/Denver)

Range End (America/Denver)

price

Product Number

created

modified

pivot

solution name

solution description

price

Page ID

solution auth resource

email template

store URL

download URL

Product Number

imageUri

created

modified

object type

displayPage

manage

user

download

field list

solution name

solution description

price

Page ID

solution auth resource

email template

store URL

download URL

Product Number

imageUri

created

modified

object type

displayPage

manage

user

download

stats

Price 4096.00

Modern development tools

Learn how to install all the latest cloud deployment tools on your own computer like VSCode, Jupyter, Ansible, Helm, and OpenShift command line interface, and start deploying microservices to the cloud like a modern cloud developer.

Cloud-native microservices

Deploy modern microservices to an OpenShift Local environment on your own laptop in development, or in production. Applications include FIWARE IoT Agent JSON, ScorpioBroker FIWARE Context Broker, certificate management, event bus application clustering, databases, a search engine, and single sign-on server for securing and scaling your data-driven website.

Manage cloud secrets

Learn how to configure secrets in the cloud that allow applications to connect to each other securely.

Configure relational databases

Set up access to a new database for your applications.

Configure fine-grain authorization to data

Create authentication realms, clients, OAuth identity providers, and fine-grain resources, scopes, policies, and permissions to data and dashboards.

Connect it all together by deploying a complete data-driven website

Learn how to configure and deploy a custom data-driven website like computate.org with articles, events, courses, products, services, and smart data models, so that you can do it yourself.

Recommended operating systems

The Computate Smart Cloud Deployer runs on a Microsoft Windows 11 Professional computer, or Linux x86_64 computer. Supported operating systems and Linux distributions include:

Microsoft Windows 11 Pro

Red Hat Enterprise Linux 9

CentOS Stream 9

Fedora 34+

Other Linux distros may also be supported

MacOS operating system unsupported
Unfortunately, MacOS is not supported with OpenShift Local since MacOS became ARM64 architecture.

Recommended computer specifications

If you are purchasing a laptop or desktop computer, I would suggest the following specs:

At least 64 GiB RAM. Laptops with at least 64 GiB RAM have enough to run OpenShift Local and Spine Programming microservices.
At least 12 CPUs. Laptops with at least 12 CPUs have enough to run OpenShift Local and Spine Programming microservices.
At least 500 GiB solid state drive (SSD) storage. 1 TiB is enough storage for most developer's applications and documents.
No GPUs are required for Spine Programming.

Join the free Computate AI Developer Webinar on Zoom or live streaming to Youtube.

Get your questions answered. The webinars will occur live most weekdays.

Learn with the computate.org open source community as we build the platform together.