IT at Web Speed: How Cloud Computing can help your Business

Extended BPF is a new type of software and the first fundamental change to how kernels are used in 50 years. Major companies like Netflix and Facebook already use it. In this talk given at Ubuntu Masters Conference, expert Brendan Gregg, Senior Performance Engineer, Netflix Performance and OS Team, explores the past, present and future of BPF, and describes use cases.

Learn more about BPF and purchase Brendan's books - brendangregg.com

More info about Ubuntu Masters coming soon at ubuntu.com/mastersconference

In our webinar jointly hosted by both Canonical and SmartDeployAI we will provide an understanding of AI/ML using Kubeflow with Microk8s on Ubuntu. We will highlight the journey of Machine Learning workflow challenges and how we simplify them. Allowing you to experience and learn an end-to-end ML workflow deployment.

This webinar will also include an end-to-end demo with instructions for everything from Kubeflow on MicroK8s, to getting your Machine Learning model trained and deployed.
The purpose of this exercise is to provide an understanding of how Machine Learning deployments work and how to simplify them with Kubeflow.

Ubuntu is built with security in mind from the outset, which is one of the reasons it’s such a popular Linux distribution used by developers. The security team at Canonical is constantly working to review threats, fix vulnerabilities and upgrade security capabilities for releases to protect your systems and workloads in production.

Get the full Ubuntu security story and see how our teams are securing Ubuntu systems across open, multi-cloud infrastructures.

In this webinar, join our team to learn how:
> Ubuntu is built with security in mind from the ground up, and how we keep you protected against major vulnerabilities
> Security and support is provided for a full range of open source technologies
> Specific security services that can help you achieve maximum availability by reducing downtime and providing access to high and critical CVE fixes
> Ubuntu helps organisations remain compliant with government and industry standards and regulations, including Common Criteria EAL2 with FIPS 140-2 Level 1 certified crypto modules

Building a private cloud based on OpenStack has typically been a complex process with uncertain build costs based on time and materials requiring specialised expertise and low-level Linux OS knowledge. To help enterprises overcome these challenges,Canonical offers Private Cloud Build to provide businesses with a fully deployed OpenStack delivered in as little as two weeks at a fixed cost.

And as a result, after delivering 100’s of private cloud builds over the last 5 years we’ve learnt a thing or two. Join our webinar to hear Nicholas Dimotakis, VP, Data Center Field Engineering speak about the lessons we’ve learnt, the industry changes he expects to see over the coming years and why businesses such as BT, Tele2 and Yahoo! Japan choose Canonical to deploy their private clouds. In addition, Nicholas will run through the process of implementing a turnkey private cloud in its entirety whilst also providing a detailed breakdown of the costs involved.

Join Tytus Kurek from Canonical and Eric Ernst from Intel to explore Kata Containers!

Over the last few years, container technologies have dominated the market and become the de facto standard for implementing modern IT infrastructure. However, one of the main adoption concerns is around security and isolation. In response to those concerns, Kata Containers, which use lightweight virtual machines that seamlessly plug into the container ecosystem, have been developed. In this webinar, we will present the benefits of using Kata Containers in a Charmed Kubernetes environment to provide better security and isolation.

NOTE: This webinar is going to be interactive. If you would like to spin up your own Charmed Kubernetes cluster with Kata Containers together with us, please make sure that you have an AWS account or a local MAAS environment. Please follow the instructions at https://jaas.ai/docs/installing to install Juju, add your cloud account (for example AWS) and bootstrap a Juju controller prior to the webinar.

Join the Ubuntu team to learn about everything new in Ubuntu 19.10 ‘Eoan Ermine' in our latest webinar.

The latest Ubuntu update was developed with a focus on accelerating developer productivity through MicroK8s improvements, easier telco-infrastructure deployments and delivering the fastest GNOME desktop performance. Ubuntu 19.10 includes the Linux 5.3 kernel, OpenStack Train and the latest Kubernetes version 1.16.

The improvements to MicroK8s with Ubuntu 19.04 enhance Kubernetes capabilities for edge computing and AI/ML. With Ubuntu’s ongoing alignment with the OpenStack release cadence, OpenStack Train provides live migration extensions to lower the cost of telco and enterprise operations.

For desktop, Ubuntu 19.10 is the fastest release yet with significant performance improvements delivering a more responsive and smooth experience with GNOME 3.34.

Sign up and see all of the new updates and capabilities with Ubuntu 19.10.

Deep tech can be characterised as risky, challenging, innovative technologies that solve real-world problems. Emerging areas of deep tech today include autonomous vehicles, Internet of Things, robots, deep learning and virtual reality as well as some underlying enabling technologies. Three attributes in particular characterise deep tech: the potential impact they can have on society, the long development time they need to reach market-readiness and the significant amount of capital required to develop and scale.

Ubuntu was created from the premise that future innovation would be primarily software-driven, and that to foster innovation, it is necessary to empower innovators with free open-source software. In this webinar, we will discuss how innovators can leverage Ubuntu as a platform to realise the potential of their technology endeavors. In particular, we will address the continuum from accelerated development with Ubuntu classic, to product commercialisation and long-term support with Ubuntu Core. We will also share examples of exciting deep tech innovations that are being delivered on Ubuntu.

Over the last decade, organisations have started virtualising their IT workloads and migrating from legacy monolithic infrastructure to cloud environments. Many choose VMware as a provider for their virtualised infrastructure. However, because of the costs associated with VMware licencing, support and professional services, many are not able to meet their primary goal - significantly reduced TCO. In search of alternative solutions, organisations have recently started exploring other platforms such as OpenStack.

In this webinar, we present the key similarities and differences between VMware’s virtualisation offerings and Charmed OpenStack. In addition, we'll provide a detailed cost analysis highlighting the savings an organisation can make by migrating from VMware to Charmed OpenStack.

This webinar also provides a demonstration showing how to migrate an IT workload from VMware to Charmed OpenStack using the Cloud Migration as a Service tool from Cloudbase Solutions - Coriolis®.

Coriolis is the simplest way to migrate Windows or Linux virtual machines alongside their associated storage and networking configurations across multiple cloud platforms. Among the advantages of Coriolis are it’s scalable architecture, agentless design, integrated scheduler and REST API allowing automated operations.

In this webinar, we present the key similarities and differences between VMware’s virtualisation offerings and Charmed OpenStack. In addition, we'll provide a detailed cost analysis highlighting the savings an organisation can make by migrating from VMware to Charmed OpenStack. This webinar also provides a demonstration showing how to migrate an IT workload from VMware to Charmed OpenStack using the Cloud Migration as a Service tool from Cloudbase Solutions - Coriolis.

Artificial Intelligence and Machine Learning adoption in the enterprise is exploding from Silicon Valley to Wall Street with diverse use cases ranging from the analysis of customer behaviour and purchase cycles to diagnosing medical conditions.

Following on from our webinar ‘Getting started with AI’, this webinar will dive into what success looks like when deploying machine learning models, including training, at scale. The key topics are:

Automatic Workflow Orchestration
ML Pipeline development
Kubernetes / Kubeflow Integration
On-device Machine Learning, Edge Inference and Model Federation
On-prem to cloud, on-demand extensibility
Scale-out model serving and inference

This webinar will detail recent advancements in these areas alongside providing actionable insights for viewers to apply to their AI/ML efforts!

AI is transforming industries with rapid innovation cycles and unprecedented automation capabilities. With the right frameworks, tools, and processes, machine learning with Kubeflow can help you accelerate your AI business objectives. Kubeflow is a Kubernetes-native platform that includes the most popular machine learning tools and frameworks, like Tensorflow and PyTorch, and is available on your workstation or in the cloud. Recent use cases include expert systems, workflow automation, pattern recognition across real-time data sets, customer relationship management with predictive behavior, and many more.
The models at the core of this revolution require data - data is the fuel that powers accurate models. How do you get the most from data and ensure it meets your requirements?

This webinar, in partnership with deepsense.ai will cover:

How to get started with defining AI project requirements and objectives
How to prioritize analytical projects in your company
The challenges involved in collecting and storing data and how to avoid them
How to extract values and eliminate complexities
What external sources you should use in your data pipeline

The telco edge can take many shapes depending on the geography, the existing network infrastructure, current and future services to be delivered. No two telcos, today, have the same perceived needs. Additionally, these needs might change drastically depending on what the future holds for new services such as 5G, IOT or AI at the edge.

Join Canonical’s telco team to hear about the strategies and tactics you can adopt to build an edge that can match your requirements of today and tomorrow.

Wide area networks, when managed inefficiently can prove costly for businesses as both hardware and the provisioning of geographically distributed devices can represent a hard cost.

Edge deployment costs can be measured in:

Capital and operational expenses
Power usage
Dissipated heat
Real estate occupied

For businesses looking to set up servers in remote locations with remote site footprint constraints, MAAS provides a compelling model.

MAAS provides a solution to provision hardware and set-up servers remotely, quickly and with limited human intervention. By deploying MAAS businesses can reduce friction in small footprint environments as well as providing an open API-driven way to provision and repurpose nodes in every remote location enabling fast and efficient server provisioning.

In this webinar join Ubuntu MAAS Product Manager, Andres Rodriguez to discuss use cases and how MAAS could benefit your business.

Edge clouds and devices are one of the fastest growth segments for cloud computing. This webinar will dive into the benefits of using Kubernetes as part of your edge strategy - for both edge clouds and edge devices.

We’ll also explore use cases, architecture, and tools that will help you at every stage of your development lifecycle - from development to production deployments at scale. Microk8s and Charmed Kubernetes will be explored in sufficient detail to get you started with Kubernetes on Ubuntu.

Put simply, edge computing is the method of processing data where it is being generated, at the edge of a network, allowing for real time data-processing without latency as opposed to sending it to a data centre. Since these ‘edge devices’ are integrated to the physical world and interact with people, it can be said that the edge is the physical location where things and people connect to the cloud.

The drive to edge computing has been born out of necessity as a result of the huge amounts of data being generated by devices. With the advancement of ‘smart-tech’ generating vast amounts of data daily, edge computing is here to stay and will continue to provide cost effective security assurances, speed of compute and scalability for businesses.

Join our upcoming webinar hosted by Galem Kayo, Ubuntu Product Manager to understand what is driving businesses to process their data at the edge and how you can add an edge computing layer to your business infrastructure.

Whether you’re exploring what AI can do for your business and how to get started; have developed machine learning models you’re looking to deploy in production at scale; want to optimise your models for performance, audit your neural network for adversarial attacks or orchestrate your data pipelines, this webinar will provide an overview of what you need to achieve your goals.

With data often described as the new electricity powering the 4th industrial revolution, and many leading companies falling behind innovative newcomers, we will discuss how you can maximise the value of your data, and where to use transfer learning or find more data when needed to train models for accurate predictions.

In this webinar you will also learn:

1. Which AI solutions are ready for production and for which applications.

2. About open-source state-of-the-art frameworks and pre-trained models ready to be fine-tuned and deployed with minimal effort to realise your intelligent automation objectives.

3. About current advancements and limitations in a technology moving at an unprecedented pace, powered by big data, advanced algorithms and infinite cloud resources.

4. How you can manage change and prepare for the impact to your people.