[TALK]@Telematika

Talks & Presentations Collection

December 5, 2019

Enabling NFV Features in Kubernetes

Concerned about your application performance, IO throughput and determinism? Are you struggling to meet customer SLAs? Does your use case require more granular resource scheduling? Are you using lates …

Load Testing Kubernetes: How to Optimize Your Cluster Resource Allocation in Production

December 5, 2019

So you've carefully crafted your first Kubernetes service, and you're ready to deploy it to production. Well, not quite: there are still some important unknowns to understand before your service will …

Pontoon: An Enterprise Grade Serverless Framework Using Kubernetes As Used in VMware Cloud Services [I]

December 5, 2019

In VMware Cloud services, we perform both batch and real-time computations based on periodic schedules and on-demand events, using our in-house developed serverless framework called Pontoon. This prov …

Running MySQL on Kubernetes [I]

December 5, 2019

MySQL is the world's most popular open source database and there are a number of ways to run it on Kubernetes. This talk will cover each type of MySQL deployment strategy starting from a simple MySQL …

Securing Cluster Networking with Network Policies

December 5, 2019

In a secure microservices cluster, you should only have the pods that need to communicate with each other to be able to establish network connections, and block all others. But how? Until recently, Ku …

Using Custom Resources to Provide Cloud Native API Management

December 5, 2019

API management is an essential component for all production services. Northwestern Mutual uses it to secure 100s of microservices deployed to our Kubernetes clusters every day! Learning from our API m …

Welcome to Kubernetes - Introduction and Toolkit for Getting Started with Kubernetes [B]

December 5, 2019

This talk will focus on the beginning Kubernetes user by providing a basic introduction with explanations and example use cases. The presenter is herself a newcomer to Kubernetes and is thus uniquely …

101 Ways to Crash Your Cluster [I]

December 4, 2019

Running a kubernetes cluster requires operating many components. One must be good at running and scaling etcd, multiple control plane components, a monitoring system, a logging pipeline, Docker, rkt, …

Accelerating Humanitarian Relief with Kubernetes [I]

December 4, 2019

How can UN humanitarian aid field experts use social media to gain insight, understand trends and track key humanitarian issues? Through a collaboration with Microsoft and UN OCHA, Project Fortis was …

Building a modern data architecture for scale

December 4, 2019

When building your data stack, the architecture could be your biggest challenge. Yet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin to assemble best practices for a scalable data architecture? Ben Sharma offers lessons learned from the field to get you started.

Building containerized Spark on a solid foundation with Quobyte and Kubernetes

December 4, 2019

Multiple challenges arise if distributed applications are provisioned in a containerized environment. Daniel Burer and Sascha Askani share a solution for distributed storage in cloud-native environments using Spark on Kubernetes.

Building deep learning-powered big data

December 4, 2019

Radhika Rangarajan explains how Intel works with its users to build deep learning-powered big data analytics applications (object detection, image recognition, NLP, etc.) using BigDL.

Cloudy with a chance of on-prem

December 4, 2019

The cloud is becoming pervasive, but it isnt always full of rainbows. Defining a strategy that works for your company or for your use cases is critical to ensuring success. Jim Scott explores different use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to get the data moved between locations.

Continuous analytics: Integrating the data hub in a DevOps pipeline

December 4, 2019

Arturo Bayo and Alvaro Fernandez Velando explain how a data hub strategy helps clarify data sharing and governance in an organization and share one way to implement a data hub architecture using big data technology and resources that are already established in the enterprise.

Conversation AI: From theory to the great promise

December 4, 2019

For years, people have been talking about the great promise of conversation AI. Recently, deep learning has taken us a few steps further toward achieving tangible goals, making a big impact on technologies like speech recognition and natural language processing. Yishay Carmiel offers an overview of the impact of deep learning, recent breakthroughs, and challenges for the future.

Data citizenship: The next stage of data governance

December 4, 2019

Successful organizations are becoming increasingly Agile, and the autonomy and empowerment that Agile brings create new, active modes of engagement. Data governance however is still very much a centralized task that only CDOs and data owners actively care about. Antonio Alvarez and Lidia Crespo outline a more engaging and active method of data governance: data citizenship.

Data wrangling for insurance

December 4, 2019

Drawing on use cases from Trifacta customers, the speaker explains how to leverage data wrangling solutions in the insurance industry to streamline, strengthen, and improve data analytics initiatives on Hadoop.

Deep learning: Assessing analytics project feasibility and computational requirements

December 4, 2019

Adam Grzywaczewski offers an overview of the types of analytical problems that can be solved using AI and shares a set of heuristics that can be used to evaluate the feasibility of analytical AI projects. Adam then covers the computational requirements for the deep learning training process, leaving you with the key tools you need to initiate an analytical AI project.

Deploy Spark ML TensorFlow AI models from notebooks to hybrid clouds (including GPUs)

December 4, 2019

Chris Fregly explores an often-overlooked area of machine learning and artificial intelligencethe real-time, end-user-facing "serving layer in hybrid-cloud and on-premises deployment environmentsand shares a production-ready environment to serve your notebook-based Spark ML and TensorFlow AI models with highly scalable and highly available robustness.

Enterprise artificial intelligence

December 4, 2019

Laura Frolich explores applications of deep learning in companieslooking at practical examples of assessing the opportunity for AI, phased adoption, and lessons going from research to prototype to scaled production deploymentand discusses the future of enterprise AI.

Extending Kubernetes: Our Journey & Roadmap [I]

December 4, 2019

What is the vision for Kubernetes Extensibility? Do you know the difference between initializers, cloud providers, and the CRI? In this talk we will describe how extension points in Kubernetes have ev …

kubeadm Cluster Creation Internals: From Self-Hosting to Upgradability and HA [A]

December 4, 2019

kubeadm is the Kubernetes tool that helps you set up a Kubernetes cluster quickly and easily. kubeadm is different from other Kubernetes setup tools in that it doesnt assume or depend on any special …

SIG Apps Update

December 4, 2019

SIG Apps is the Special Interest Group that covers deploying and operating applications in Kubernetes. Being an area with a large surface area there's a lot going on. In this update session we'll look …

The Architecture of a Multi-Cloud Environment with Kubernetes [I]

December 4, 2019

Kubernetes is an orchestration platform that enables running distributed systems, which are designed with the philosophy of spreading wide to best prepare for outages. This is achieved by deploying yo …

Using Kubernetes API from Go [B]

December 4, 2019

As Kubernetes becomes increasingly popular, the number of integration and monitoring services around it are also growing. The key component of any such service written in Golan is kubernetes/client-go …

A Scheduling Simulator for Capacity Estimation of Kubernetes Clusters

December 3, 2019

Capacity planning is very important for meeting dynamic demands in any clusters. Without having an approximate view of the remaining capacity in a cluster, it is hard for cluster operators to decide i …

Building and Running an Enterprise-grade Serverless Platform on Kubernetes

December 3, 2019

Serverless platforms provide functions as a service, and have become a hot topic largely because they allow developers to focus on core business logic, leaving packaging, deployment, monitoring, event …

CNI, CRI, and OCI - Oh My! [I]

December 3, 2019

If you work with containers, its easy to get lost in the emerging standards and foundations. You might have questions like: What is OCI? What happened to appc? Do I need to do anything to take advant …