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Build, run and scale modern applications with confidence. Datacom’s fully managed container service helps you move fast without giving up control. Built on Red Hat OpenShift and managed by local cloud engineers, our sovereign platform supports everything from modern microservices to legacy app refactoring, all with built-in compliance, automation and developer-ready tools.
A container service lets you package applications and their dependencies into self‑contained units called containers so they can run reliably across different environments. Datacom’s managed container service provides a Kubernetes‑based platform that handles deployment, scaling and health‑checks, so your teams can focus on building features instead of managing servers. It is designed to run across private, public and sovereign cloud infrastructures, giving you flexibility in how and where applications are deployed.
Standardise application deployment on Kubernetes‑based platforms such as OpenShift for consistent operations across data centres and clouds.
Automate scaling and rolling updates to maintain performance and uptime while using resources efficiently.
Integrate with existing CI/CD pipelines to accelerate delivery without sacrificing control.
Support hybrid deployments so you can run workloads in Australian data centres or public cloud regions as needed.
Australian organisations use Datacom’s container service to modernise applications while keeping data close to home on trusted infrastructure.
Improve efficiency by using container orchestration to scale resources up and down based on demand instead of over‑provisioning servers.
Avoid lock‑in to a single PaaS by using open container standards and Kubernetes‑based platforms across multiple environments.
Reduce operational effort by having Datacom manage the underlying container platform, upgrades and security baselines.
Build AI apps without giving up control. Datacom’s container platform supports GPU-accelerated AI/machine learning workloads with data residency guaranteed. Deploy models with TensorFlow or PyTorch in sovereign environments, ideal for regulated industries and privacy-sensitive use cases.
From automated CI/CD pipelines to full stack observability, our container service gives you everything you need to streamline development and operations. Datacom handles the platform complexity, so your teams can build faster, deploy with confidence and stay compliant by default.
Powered by Red Hat OpenShift, our container service gives you Kubernetes that’s ready for production. Everything’s built-in; networking, logging, security and automation, so you avoid the headaches of DIY. Deploy anywhere, scale with demand, and move across clouds without refactoring.
Embrace modern containerisation and microservices without needing an army of in-house Kubernetes experts. Datacom’s container service offers a consistent application environment across any infrastructure, so you can “build once, run anywhere.” Deploy your apps on-premises today and in the cloud tomorrow – the platform remains the same. This flexibility prevents any single-vendor lock-in: you can securely run and move your containerised applications across multiple clouds (public or private) as needed.
You will have Datacom’s specialists managing and monitoring the platform continuously. We proactively ensure high availability and performance, and we’re on hand 24/7 so you don’t have to be. It’s Kubernetes as a service, made simple.
Datacom’s container service includes built-in high availability, automated failover, and scalable recovery policies so your developers can keep building without disruption. From underlying infrastructure to container orchestration, our platform is designed for fault tolerance and resilience from the ground up.
As a cloud partner of the year and a current premier partner in New Zealand and Australia, Datacom’s innovative cloud container services, powered by the Red Hat OpenShift Container Platform (OCP) and supported by DevOps processes, enables developers to build, deploy and manage applications with speed, agility and confidence, on whatever cloud platform customers choose.
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Our platform supports a wide range of popular technologies, including PostgreSQL, Microsoft SQL Server, MongoDB, Kafka, and Red Hat JBoss. You can deploy these easily and securely, helping you move legacy apps or launch new services faster.
Most customers are up and running within hours. We use automation to provision your Kubernetes environment fast so your developers can deploy their first applications the same day.
Yes. CI/CD pipelines are built in, making it easy to move code from development to production. We support Jenkins, Tekton, and GitHub-based workflows so your team can release faster with less manual work.
Absolutely. Our platform is designed to support GPU-accelerated workloads and frameworks like TensorFlow and PyTorch, helping you enable private AI use cases with local data sovereignty.
A container platform is a software solution that provides the tools and infrastructure needed to manage containerised apps. It simplifies the process of building, deploying, and scaling applications by packaging them with their dependencies into containers, which can run across different environments.
A container service is a way of running applications where each application (or part of an application) is packaged with everything it needs so it can run the same way on any compatible infrastructure. Instead of managing servers directly, a container platform like Kubernetes or OpenShift handles deployment, scaling and health‑checks for these containers, so teams can focus more on building and updating software than on managing underlying infrastructure.
CNCF (Cloud Native Computing Foundation) is an open-source foundation that defines and promotes cloud-native standards such as Kubernetes and Prometheus. Datacom supports CNCF technologies within OpenShift and PaaS environments.
A pure platform‑as‑a‑service (PaaS) solution usually gives you a very opinionated, provider‑specific way to build and run applications, which can be fast to start but may tie you closely to that platform’s runtimes and services. A managed container service based on Kubernetes or OpenShift is more flexible and portable: it gives you a consistent way to deploy and run containers across different clouds or data centres, while still allowing you to choose your own languages, frameworks and supporting services.
Best practices for big data storage in the cloud include separating compute and storage so you can scale them independently, and choosing storage types that match how often you need to access data (for example, hot, warm and archive tiers). Organisations should also consider data partitioning and lifecycle policies to keep frequently used data on faster storage while moving older data to lower‑cost tiers, and ensure that encryption, access controls and data‑residency requirements are applied consistently across all locations where big data is stored.
Data platforming and AI typically require reliable infrastructure for storing large volumes of data, running analytics workloads and serving models, often across a mix of cloud and on‑premises environments. Datacom supports these needs through services such as managed container platforms for modern applications, sovereign and hybrid cloud infrastructure, and private AI platforms that provide secure, GPU‑enabled environments for training and running AI models.
The most efficient cloud container option depends on your workloads and where you want them to run, rather than a single “best” provider. Many organisations use managed Kubernetes or OpenShift‑based services because they automate deployment and scaling across different environments and reduce operational overhead, while still allowing teams to optimise how applications use compute, storage and networking resources.
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