Monday, February 17, 2025

OraOperator Multi-Tenancy For Oracle Databases On GKE

OraOperator

Simplify operations by moving Oracle-based apps to Google Cloud. In order to speed up cloud transition for companies, Google Cloud and Oracle formed a strategic alliance last year. This cooperation enables organisations to use Oracle’s powerful database capabilities into Google Cloud’s environment.

Both Oracle databases and the apps that operate on them are covered under this cooperation. This entails moving current Oracle database apps to Google Cloud, where users can take advantage of Google Cloud’s security, stability, and performance. Could choose to shift to one of Oracle’s many enterprise and middleware apps, which aren’t really databases. Naturally, you can use Oracle databases and services on Google Cloud’s infrastructure and services to create and implement new cloud-native apps.

Google Cloud’s Oracle databases

Depending on your needs, Google Cloud provides a variety of migration options for your Oracle workloads, ranging from completely managed to highly customised.

Excellent performance:

Google Cloud’s Exadata Cloud Service

Utilise Google’s data centres to run Exadata, Oracle’s high-performance hardware. For hard tasks requiring the most speed and power possible, this is perfect.

Fully managed:

Self-governing Database on Cloud by Google

Oracle is really simple to use since Google Cloud takes care of everything. Provisioning, patching, scalability, backup, and recovery are among the crucial management tasks that it automates so you can concentrate on the things that are most important to your company.

Since both of the managed offerings migration pathways are highly managed options, they call for few, if any, modifications to your Oracle Database instances, and Google Cloud’s support staff can handle the actual physical move.

Adaptable choices

However, there are a number of considerations to make when selecting one of these adaptable alternatives in order to maximise the performance of your new cloud-based environment.

Compute Engine

Utilise virtual computers to run Oracle, which offers you flexibility and control. For “lift and shift” migrations of current systems, this works well.

Google Kubernetes Engine (GKE)

Oracle pluggable databases may be deployed using OraOperator, Oracle’s Database Operator for Kubernetes; the use cases for this are described in more detail below.

Containerize Oracle-based applications

This collaboration aims to speed up migration, modernisation, and innovation by giving companies the freedom they require to set up and administer Oracle apps on Google Cloud. Support for containerisation, which provides development teams with high levels of agility and scalability, is a crucial component of that. Containers offer a uniform and separated environment, abstracting away the underlying intricacies of programming languages and frameworks, regardless of whether your Oracle-based application is developed with Java, Python, .NET, or WebLogic.

You may select from a variety of container-based runtimes available on Google Cloud.

A strong and adaptable container orchestration platform, Google Kubernetes Engine (GKE) makes it easier to deploy and manage a variety of workloads on Google Cloud. Developed for companies with intricate configurations and microservices architectures, GKE makes use of Google’s extensive global network and high-performance virtual machines to offer an infrastructure that is optimised for the seamless and dependable operation of containers. Through autoscaling and node auto-provisioning, it optimises cost and performance by dynamically adjusting resources to match real-time demand. Furthermore, GKE can effectively manage any type of application, from simple web apps to complex machine learning tasks, written in any language, with its extensive support for container runtimes and sophisticated networking features.

Cloud Run, a fully managed serverless platform for containerised application deployment, comes next. You just supply your code or container image, and Cloud Run handles the rest. It is intended for applications that must grow automatically in response to demand. By automatically scaling resources up or down in response to demand, you only have to pay while requests are being processed by your application.

Cloud Run is a fantastic match for microservices, APIs, web apps, and event-driven activities since it frees you up to focus on creating and delivering applications by removing server administration tasks like provisioning and scaling. Additionally, Cloud Run’s automated base image updates minimise risks and drastically save maintenance costs by ensuring your containers receive the most recent security fixes and operating system upgrades.

The best part is that containerising your Oracle-based apps using open standards eliminates the need for you to make a decision up front. Do you wish to avoid managing Kubernetes? Take Cloud Run first! Later on, you’ll need greater flexibility. Transferring to GKE is simple. You have complete interoperability and deployment flexibility for your containerised programs, both now and in the future, because both services use standard OCI containers and are supported by CNCF.

Running a containerized Oracle Database

The best practice is to run your Oracle workload on Exadata on Google Cloud, however if it isn’t feasible, you might want to look at running Oracle on GKE:

  • When Exadata is not supported in a particular area or for workloads that are not RAC or Exadata-related, running Oracle Database on GKE is appropriate.
  • For companies that employ DBaaS and have several Oracle databases that can be lifecycled (deployed, updated, and deleted) using OraOperator, this is a suitable option.
  • This method is helpful if you need to spin up or break down databases fast and is made to integrate with contemporary DevOps workflows and continuous deployment methodologies.

The afore-mentioned OraOperator offers multi-tenancy capability in this situation. This is a useful feature for running Oracle databases on GKE since it enables the operation of several separate databases on the same GKE cluster, which lowers expenses and improves resource utilisation.

Introduction to OraOperator

OraOperator is a cutting-edge digital tool made especially for Oracle databases that simplifies database administration. For database administrators (DBAs), developers, and IT specialists, it is an effective tool that facilitates smooth and effective communication with Oracle systems.

By automating repetitive duties including data retrieval, schema administration, backup procedures, and query execution, this operator streamlines intricate database operations. Even novice users may easily complete complex tasks because to its user-friendly design, while seasoned experts can streamline their processes for increased efficiency.

Among OraOperator’s primary characteristics are

Automated

Minimises mistakes and human labour by automating repetitive database activities.

Scalability

Manages large-scale database operations without sacrificing efficiency.

Observing

Arovide up-to-date information on system warnings, performance indicators, and database health.

Including

Allows for smooth workflow integration with Oracle products and other business solutions.

Safety

Uses encryption and role-based access to guarantee strong data protection.

For businesses that depend on Oracle databases to guarantee operational effectiveness, enhance database dependability, and facilitate data-driven decision-making, OraOperator is essential.

Increasing the speed of your Java apps

Java is used to write a lot of Oracle apps. Native Java apps are made by Oracle GraalVM. This program immediately converts Java bytecode into native executables by using Ahead-of-Time (AOT) compilation. These programs start considerably faster and use less CPU and memory since they don’t require a Java Virtual Machine (JVM) to run. By effectively enabling Java to behave like C or C++, GraalVM creates standalone executables that are ideal for resource-constrained settings, such as serverless functions in cloud-native deployments and microservices.

Google Cloud strongly advise utilising a Java native image if you wish to run your Oracle program on GKE. This allows for far more efficient use of resources than running a Java application within a virtual machine. Because native images are smaller, you may run more pods on each worker node, making the most of your GKE cluster’s resources and possibly cutting expenses. Decreased pod starting latency also helps deployments roll out and recover more quickly, which increases your application’s agility.

Lastly, by utilising characteristics like these, utilising a Java native image improves the security posture of your containers within the GKE cluster:

  • Binary authorisation for picture signing and verification
  • Enhanced vulnerability insights, which offers vulnerability detection and scanning for your operating containers’ Java, Go, Javascript, and Python language packages
  • Vulnerability screening integrated into Artefact Registry, which uses a sandboxed environment to provide your Java native images a safe and secure environment.
  • Basic base images that only contain the dependencies required for your Java native image, lowering the risk of vulnerabilities and the possible attack surface

Running your Java native application on Cloud Run, on the other hand, offers almost immediate startup times, reducing initial request latency and enhancing responsiveness in general. Additional CPU is available at instance starting and for ten seconds following instance launch with the Cloud Run initial CPU boost function.

Furthermore, Cloud Run works well with applications that are event-driven, meaning that events initiate certain functions. This is a typical use case for native Java images, which can react to events rapidly since they don’t require a Java Runtime Environment.

Lastly, a lot of companies wish to switch to Java 21. The benefits of its LTS (long term support) certification, which ensures continuous upgrades, security fixes, improved runtime performance, new features, and technical support for a prolonged period, are a major factor in its acceptance. Modernising older Oracle programs to Java 21 at the same time may be achieved by migrating them to GKE or Cloud Run.

Thota nithya
Thota nithya
Thota Nithya has been writing Cloud Computing articles for govindhtech from APR 2023. She was a science graduate. She was an enthusiast of cloud computing.
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