[TALK]@Telematika

Talks & Presentations Collection

December 2, 2019

Let's Build Kubernetes, With a Spreadsheet and Volunteers!

An introduction to the core responsibilities of Kubernetes. A visual representation of how Kubernetes works and what each component does. Building from nothing until we have a fully functional Kuberne …

Machine learning is a moonshot for us all (sponsored by Google)

December 2, 2019

Data analytics and machine learning are the drivers of the fourth industrial revolution. As technologists, we stand on the brink of incredible opportunity. Darren Strange explores the tremendous opportunity we have before us and asks, will we be pioneers creating new possibilities or will we hold on to the past?

Making recommendations using graphs and Spark

December 2, 2019

Harry Powell and Raffael Strassnig demonstrate how to model unobserved customer preferences over businesses by thinking about transactional data as a bipartite graph and then computing a new similarity metricthe expected degrees of separationto characterize the full graph.

Shipping in Pirate-Infested Waters: Practical Attack and Defense in Kubernetes [A]

December 2, 2019

Kubernetes has a growing array of security controls available, but knowing where they all fit in, what the highest priorities are, and how it all helps against real attacks is still far from obvious. …

SIG Grafeas Community Meet-up - hosted by

December 2, 2019

Grafeas is anopen source project whose goal is to provide organizations with a central source of truth for tracking software artifact metadata across an ever growing set of software development teams …

UDP in K8S: Signed, Sealed, but Delivered? [I]

December 2, 2019

This talk is based on my personal experience working with Kubernetes in production. I will talk about the UDP failures we encountered in production, how we found out the root cause, how we mitigated a …

Webhooks for Automated Updates [B]

December 2, 2019

In most software projects, there is a tremendous focus on increasing efficiency and reliability. Rolling updates in Kubernetes is a really good example of how real-time updates to applications can be …

Zero Configuration Pattern of Kubernetes on Bare Metal [A]

December 2, 2019

In recent releases, we've enabled node admission and configuration APIs that eliminate configuration requirements for Kubernetes workers. This allows cluster operators to add and remove nodes from clu …

Cost-effective Compute Clusters with Spot and Pre-emptible Instances [I]

December 1, 2019

Kubernetes and Spot/Pre-emptible Instances (SPIs) are arguably a match made in heaven. Traditionally, the uncertainty of SPIs (they can be terminated at any time due to price fluctuations) have made m …

CrashLoopBackoff, Pending, FailedMount and Friends: Debugging Common Kubernetes Cluster and Application Issues [B]

December 1, 2019

Nothing is more frustrating than deploying a shiny new application on Kubernetes and having it fail immediately (usually five minutes before the big demo). Is it a problem with the pod network? Pods P …

Disaster Recovery for your Kubernetes Clusters [I]

December 1, 2019

Its 3am. Your pager is beeping. Your Kubernetes cluster is down. Dont panic - weve got you covered. In this talk, well describe a variety of disaster scenarios you may encounter. Well arm you wit …

Distributed Database DevOps Dilemmas? Kubernetes to the Rescue

December 1, 2019

Distributed databases can make so many things easier for a developer… but not always for DevOps. OK, almost never for DevOps. Kubernetes has come to the rescue with an easy application orchestrati …

Local Ephemeral Storage Resource Management

December 1, 2019

Currently Kubernetes does not support storage resource usage guarantee and isolation like compute resources such as CPU and memory. This talk will present out effort for improving Storage Resource Man …

Meet the Expert with Phillip Radley (BT)

December 1, 2019

BT has adopted Hadoop as an enterprise platform for data processing and storage. Come talk to Phillip to find out how they did itand what you can learn from their experiences.

Meta-data science: When all the world's data scientists are just not enough

December 1, 2019

What if you had to build more models than there are data scientists in the worlda feat enterprise companies serving hundreds of thousands of businesses often have to do? Leah McGuire offers an overview of Salesforce's general-purpose machine-learning platform that automatically builds per-company optimized models for any given predictive problem at scale, beating out most hand-tuned models.

Migrating petabyte-scale Hadoop clusters with zero downtime

December 1, 2019

Migrating petabyte-scale Hadoop installations to a new cluster with hundreds of machines, several thousands of jobs daily, and countless ecosystem integrations while maintaining a stable production environment is a challenging task. Alon Elishkov discusses the techniques and tools Outbrain has developed to achieve this goal.

Multinode restricted Boltzmann machines for big data

December 1, 2019

Nikolay Manchev offers an overview of the restricted Boltzmann machine, a type of neural network with a wide range of applications, and shares his experience using it on Hadoop (MapReduce and Spark) to process unstructured and semistructured data at a scale.

Near-real-time ingest with Apache Flume and Apache Kafka at 1 million-events-per-second scale

December 1, 2019

Vodafone UKs new SIEM system relies on Apache Flume and Apache Kafka to ingest over 1 million events per second. Tristan Stevens discusses the architecture, deployment, and performance-tuning techniques that enable the system to perform at IoT-scale on modest hardware and at a very low cost.

Organizing the data lake

December 1, 2019

Building a data lake involves more than installing and using Hadoop. The goal in most organizations is to build multiuse data infrastructure that is not subject to past constraints. Mark Madsen discusses hidden design assumptions, reviews design principles to apply when building multiuse data infrastructure, and provides a reference architecture.

Peeking into the black box: Lessons from the front lines of machine-learning product launches

December 1, 2019

Grace Huang shares lessons learned from running and interpreting machine-learning experiments and outlines launch considerations that enable sustainable, long-term ecosystem health.

Performance and security: A tale of two cities

December 1, 2019

Performance and security are often at loggerheads. Rekha Joshi explains why and offers a deep dive into how performance and security are managed in some of the most intense and critical data platform services at Intuit.

Planes, Raft, and Pods: A Tour of Distributed Systems Within Kubernetes [B]

December 1, 2019

Kubernetes does some pretty neat things for you autoscaling your app, rolling deploys, and more! In this talk, well take a look at how Kubernetes leverages distributed systems to make its magic hap …

Presto: Distributed SQL done faster

December 1, 2019

Wojciech Biela and ukasz Osipiuk offer an introduction to Presto, an open source distributed analytical SQL engine that enables users to run interactive queries over their datasets stored in various data sources, and explore its applications in various big data problems.

Real-time intelligence gives Uber the edge

December 1, 2019

M. C. Srivas covers the technologies underpinning the big data architecture at Uber and explores some of the real-time problems Uber needs to solve to make ride sharing as smooth and ubiquitous as running water, explaining how they are related to real-time big data analytics.

Block Volumes Support in Kubernetes [I]

November 30, 2019

Storage is an essential part of any computing systems. In current Kubernetes, user can utilize storage volume with filesystem in a container but can't be utilized volume without filesystem called raw …

Democratizing Machine Learning on Kubernetes [I]

November 30, 2019

One of the largest challenges facing the machine learning community today is understanding how to build a platform to run common open-source machine learning libraries such as Tensorflow. Both Joy and …

Hacking and Hardening Kubernetes Clusters by Example [I]

November 30, 2019

While Kubernetes offers new and exciting ways to deploy and scale container-based workloads in production, many organizations may not be aware of the security risks inherent in the out-of-the-box stat …

Jaeger Salon

November 30, 2019

In this session we will start with basic tracing concepts, give an overview of the Jaeger project, and finish with more advanced topics like adaptive sampling, dependency graphs and tracing with Envoy …