Oracle Public Cloud – Page 3

Teaching How to get started with Autonomous Database for OLTP

We all know that data is massively valuable to businesses, whether it is to support daily business transactional activities (Online Transaction Processing – OLTP), or to help business with planning, problem solving and decision making (Online Analytical Processing – OLAP). Either way, businesses heavily rely on both ways to support their most important strategies and activities.

Until recently, companies had to heavily invest in provisioning, securing, patching and driving either way of Online Data processing mechanisms. In most cases, even with Cloud adoption, companies still had to rely on their own skills to make sure that their databases were properly patched, secured, tuned and managed.

However, today there is another option with the recent announcements that Oracle have made around Autonomous Databases for both OLAP and OLTP data processing. What this means, is that Oracle has taken automation to a totally new level with the assistance of Machine Learning. The idea is that the DB itself is self-sufficient with a full set of automated activities that range from patching, securing, optimising, etc. This will reduce not only the effort to run data workloads, but removing completely human errors, creating the opportunity to not only keep the lights on, but to focus on crucial business activities around innovation and differentiation.

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Teaching How to Provision Oracle Autonomous API Platform and API Gateway

Oracle is adding a secret recipe to all their Cloud Services with a nice touch of Machine Learning. This makes it possible to have the new series of “Autonomous” Cloud Services that are self-driving, self-healing and self-securing. Stay tuned, because we are going to keep listening a lot about them.

In this blog I am going to show you how to provision an Autonomous API Platform environment and then provision and register an API Gateway, running on a separate Oracle Linux VM on IaaS.

This is a graphical view of what I will be doing in this blog:

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Teaching How to Provision Oracle Integration Cloud (OIC) with Cloud Stack and Terraform

We have covered multiple blogs on how to use Terraform to help automate the provisioning of environments and treat your Infrastructure as Code. Until now, for PaaS stacks, we have used Terraform together with Oracle PaaS Service Manager (PSM) CLI. This gives us great flexibility to script our own tailored PaaS stacks the way we want them. However, with flexibility comes responsibility, and in this case, if we choose to use PSM CLI, it’s up to us to script the whole provisioning/decommission of components that make up the stack. As well as what to do if we encounter an error half-way through, so that we leave things consistently.

A simpler way to provision PaaS stacks is by making use of Oracle Cloud Stack, that treats all components of the stack as a single unit, where all sub-components are provisioned/decommissioned transparently for us. For example, Oracle Integration Cloud (OIC) stack, is made of Oracle DB Cloud Service (DBCS), Integration Cloud Service (ICS), Process Cloud Service (PCS), Visual Builder Cloud Service (VBCS), IaaS, storage, network, etc. If we use Oracle Cloud Stack to provision an environment, we only have to pass a YAML template with the configuration of the whole stack and then, Cloud Stack handles the rest. Pretty awesome huh?

Similarly, as we have done in the past, we are going to use a “Build Server”. This will be used as a platform to help us provision our PaaS stacks. When provisioning this “Build Server”, I will add all the tooling it requires as part of its bootstrap process. For this, I am using Vagrant + Terraform, so that I can also treat my “Build Server” as “infrastructure as code” and I can easily get rid of it, after I built my target PaaS stack.

This is a graphical view of what I will be doing in this blog to provision an OIC stack via Cloud Stack:

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Teaching How to Get Started with Oracle Autonomous Data Warehouse Cloud Service

Data Warehouses have been around for a long time and they bring multiple benefits, but these also come at a cost. Some of the associated challenges that are easily identified when talking about traditional Data Warehouses include:

Complexity and Expensive
Inability to manage data and user growth
Hard to deploy and maintain

Oracle Autonomous Data Warehouse aims at easing these challenges with the ability to:

Provision a data warehouse in as little as 15 seconds.
Full automation of management of the Data Warehouse
Instant scaling with zero-downtime
Automated Tuning
Migration tools, e.g. Redshift

In this blog, let’s show can easily we can provision a new Oracle Autonomous Data Warehouse, load data into it and run some data visualization on top.

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Learn how Containers and Kubernetes fit together – Live Workshop

Need to understand how Containers, Kubernetes and the Cloud-Native Landscape fit together?

Organisations are excited about the cloud-native approach as it helps provide parity between development and production environments, adoption of the DevOps framework, and enables software developers to build great products faster.

This new paradigm in application delivery has brought with it much new jargon and tooling – “Containers”, “Docker”, “Kubernetes”, “Container Orchestration”, and “Microservices” are fast becoming the new norm.

Save time and get up to speed on the business value and technical know-how of these contemporary, cloud-native concepts and tools, including:

CNCF Landscape
Containers
Docker
Kubernetes
Microservices

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Teaching How to Get started with Kubernetes deploying a Hello World App

In a previous blog, I explained how to provision a new Kubernetes environment locally on physical or virtual machines, as well as remotely in the Oracle Public Cloud. In this workshop, I am going to show how to get started by deploying and running a Hello World NodeJS application into it.

There are a few moving parts involved in this exercise:

Using an Ubuntu Vagrant box, I’ll ask you to git clone a “Hello World NodeJS App”. It will come with its Dockerfile to be easily imaged/containerised.
Then, you will Docker build your app and push the image into Docker Hub.
Finally, I’ll ask you to go into your Kubernetes cluster, git clone a repo with a sample Pod definition and run it on your Kubernetes cluster.

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Teaching How to quickly provision a Dev Kubernetes Environment locally or in Oracle Cloud

This time last year, people were excited talking about technologies such as Mesos or Docker Swarm to orchestrate their Docker containers. Now days (April 2018) almost everybody is talking about Kubernetes instead. This proves how quickly technology is moving, but also it shows that Kubernetes has been endorsed and backed up by the Cloud Giants, including AWS, Oracle, Azure, (obviously Google), etc.

At this point, I don’t see Kubernetes going anywhere in the coming years. On the contrary, I strongly believe that it is going to become the default way to dockerise environments, especially now that it is becoming a PaaS offering with different cloud providers, e.g. Oracle Containers. This is giving the extra push to easily operate in enterprise mission critical solutions, having the backup of a big Cloud Vendor.

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Oracle Cloud Security is Openly Social

Oracle Identity Cloud Service (IDCS) protects Oracle IaaS, PaaS, SaaS and On-Premises applications. Oracle IDCS provides federated single-sign on experience to its clients. It follows open standards such as SAML 2.0, OAuth 2.0 and OpenID Connect 1.0. In the federation model, Oracle IDCS can either act as an Identity Provider (IdP) or a Service Provider (SP) or both.

Oracle IDCS has a built-in feature that provides multiple social identity providers such as Google, Facebook, LinkedIn and Twitter. It uses underlying OAuth 2.0 protocol to interact with the Social Identity providers. This article presents how to configure IDCS to allow for Social Logins. Let me explain this concept with the sequence diagram below:

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Teaching How to use Terraform to automate Provisioning of Oracle API Platform

Previously, I showed how to use Terraform and PSM CLI to spin up a “Build Server” and use it to provision Oracle Integration Cloud (OIC) environments. You can find this blog here.

In this blog I am going to show you how to do the same, but to provision Oracle API Platform environments.

The approach that I will be following is the same:

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Teaching How to use Terraform to automate Provisioning of Oracle Integration Cloud (OIC)

In a previous blog, I explained how to treat your Infrastructure as Code by using technologies such as Vagrant and Terraform in order to help automate provisioning and decommissioning of environments in the cloud. Then, I evolved those concepts with this other blog, where I explained how to use Oracle PaaS Service Manager (PSM) CLI in order to provision Oracle PaaS Services into the Cloud.

In this blog, I am going to put together both concepts and show how simply you can automate the provisioning of Oracle Integration Cloud with Terraform and PSM CLI together.

To provision a new PaaS environment, I first create a “Build Server” in the cloud or as my boss calls it a “cockpit” that brings all the required bells and whistles (e.g. Terraform, PSM CLI, GIT, etc) to provision PaaS environments. I will add all the tooling it requires as part of its bootstrap process. To create the “Build Server” in the first place, I am using Vagrant + Terraform as well, just because I need a common place to start and these tools highly simplify my life. Also, this way, I can also treat my “Build Server” as “infrastructure as code” and I can easily get rid of it after I built my target PaaS environments and save with that some bucks in the cloud consumption model.

Once I build my “Build Server”, I will then simply git clone a repository that contains my scripts to provision other PaaS environments, setup my environment variables and type “terraform apply”. Yes, as simple as that!

This is a graphical view of what I will be doing: