Operations | Monitoring | ITSM | DevOps | Cloud

Data lake is a very large scale data processing paradigm that disrupts the conventional data warehousing model. Data lakes can offer greater flexibility whilst retaining the benefits and efficiency of centralised data governance. With Canonical OpenStack private cloud platform, Kubernetes and Charmed Spark solutions, your data lake architecture can also benefit from extended flexibility and scalability whilst remaining cost effective to operate.

Kubernetes has proven to be a vital tool for developing and running ML models. It enhances experimentation, workflow management, and ensures high availability while handling the resource-intensive nature of AI workloads. With optimizations, Kubernetes can further improve resource utilization, making AI/ML projects more efficient.

Confidential computing is a revolutionary technology that disrupts the conventional threat model of public clouds. In the past, vulnerabilities within the extensive codebase of the cloud’s privileged system software, including the operating system and hypervisor, posed a constant risk to the confidentiality and integrity of code and data in operation. Likewise, unauthorized access by a cloud administrator could compromise the security of your virtual machine (VM).

In this second episode of our automotive webinar series, we are joined by our partner Elektrobit to dive deeper into the challenges and solutions to secure your automotive software. Join us to hear about.

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 4: AI on public cloud with open source This will cover: Scenarios in which open source tooling on public cloud solves a problem for AI initiatives Main benefits of using open source tooling on the public cloud for AI projects Use cases from our customers Hybrid cloud and multi cloud opportunities for AI projects.

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 5: AI on private cloud - why is it relevant in the hyperscalers era? This will cover: Why consider a private cloud for AI? Key considerations when building a private cloud for AI projects Performance acceleration options for private cloud Guidance for Kubernetes on OpenStack for AI initiatives.

Operating in the cloud has become the norm in today's business world. However, depending solely on public clouds can introduce several challenges such as increased costs, privacy issues, and performance limitations. Enter OpenStack, the world's leading open-source cloud platform. OpenStack empowers you to create your own cloud infrastructure, giving you control over your digital future.

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 3: Vector databases for generative AI applications Join us for a deep dive into the role of vector databases in generative AI applications.

We are pleased to announce the general availability of Charmed Kubeflow 1.9. Get ready to elevate your ML projects with winning points like broader integrations, enhanced data science workflows, and strengthened enterprise security.

Welcome to Canonical's AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 1: How to build LLMs with open Source?