automating

Automating "Network Ready for Use" Testing

March 3, 2020

Automating Network Ready for Use Testing This tutorial will showcase an approach using the pytest open-source tool to validate operational states of the networ …

Extending Salt's capabilities for event-driven network automation and orchestration

February 27, 2020

Salt is currently one of the largely used frameworks in automating network operations. Even though it has been firstly released over 8 years ago, the network commu …

Automating ML model training and deployments via metadata-driven data, infrastructure, feature engineering, and model management

February 16, 2020

Mumin Ransom gives an overview of the data management and privacy challenges around automating ML model (re)deployments and stream-based inferencing at scale.

Building an AI platform: Key principles and lessons learned

February 16, 2020

Moty Fania details Intels IT experience of implementing a sales AI platform. This platform is based on streaming, microservices architecture with a message bus backbone. It was designed for real-time data extraction and reasoning and handles the processing of millions of website pages and is capable of sifting through millions of tweets per day.

Solve tomorrows business challenges with a modern data warehouse (sponsored by Matillion)

February 10, 2020

According to Forrester, insight-driven companies are on pace to make $1.8 trillion annually by 2021. Daniel D'Orazio wants to know how fast your team can collect, process, and analyze data to solve presentand futurebusiness challenges. You'll gain actionable tips and lessons learned from cloud data warehouse modernizations at companies like DocuSign that you can take back to your business.

Automating REST Microservices with Ride

February 8, 2020

Thoughts of system outages in multi-component and multi-environment REST architectures keep even hardened engineers and managers up at night. Managing the end-to-end validation to guard against this c …

Deep learning coming to the tire industry: Warehouse staffing with RNN-LSTMs and pricing optimizations with DNNs

February 6, 2020

Deep learning has been a sweeping revolution in the world of AI and machine learning. But sometimes traditional industries can be left behind. Alex Liang details two solutions where deep learning is used: a warehouse staffing solution where LSTM RNNs are used for staffing level forecasting and a pricing recommendation solution where DNNs were used for data clustering and demand modeling.

Fully Automated Power Measurement Solution Coupled with IC Temperature Control

February 3, 2020

Embedded Linux platforms power options are described by Operating Performance Points (OPPs). Creating those OPPs requires a laborious process known as characterization. Characterization is usually an …

When two-pizza teams plan a banquet: Lightweight architecture governance

January 15, 2020

There are two common architectural failure modes: hierarchical command and control from ivory-tower architects with strict approvals and rigorous control gates, and chaos with every team doing what they want with little governance. Jonny LeRoy explores the Goldilocks zone that ensures that teams handle organizational risks and opportunities while giving themselves as much autonomy as possible.

Building a sales AI platform: Key principles and lessons learned

January 14, 2020

Moty Fania shares his experience implementing a sales AI platform that handles processing of millions of website pages and sifts through millions of tweets per day. The platform is based on unique open source technologies and was designed for real-time data extraction and actuation.

Leveraging metadata for automating delivery and operations of advanced data platforms

January 9, 2020

Peter Billen explains how to use metadata to automate delivery and operations of a data platform. By injecting automation into the delivery processes, you shorten the time to market while improving the quality of the initial user experience. Typical examples include data profiling and prototyping, test automation, continuous delivery and deployment, and automated code creation.

Automating the Deployment of 5G Network Slices with ONAP

January 4, 2020

Network slicing enables network operators to meet the requirements of vertical industries by providing portions of their networks for specific purposes and/or customers.This session exposes the design …

Automation of AI: Accelerating the AI revolution (sponsored by IBM Watson)

January 3, 2020

Ruchir Puri discusses the next revolution in automating AI, which strives to deploy AI to automate the task of building, deploying, and managing AI tasks, accelerating enterprises' journey to AI.

Orange WAN Automation Vision Leveraged by ONAP

January 3, 2020

Orange expect WAN (Wide Area Network) automation to be an opportunity to improve the operational efficiency and to support new on-demand businesses. Orange view on why automating networks and what to …

Automating stateful applications with Kubernetes Operators (sponsored by OpenShift)

December 18, 2019

Kubernetes scales and manages stateless applications quite easily. Stateful applications can require more work. They can be harder to dynamically manage with data intact and sometimes come with their own notion of clustering. Jan Kleinert offers an overview of OperatorsKubernetes agents that know how to deploy, scale, manage, back up, and even upgrade complex stateful applications.

The Goldilocks zone of lightweight architectural governance

December 15, 2019

Jonny LeRoy details two architectural failure modes: hierarchical command and control from ivory tower architects with strict approvals and rigorous control gates, and chaos with every team doing whatever they want with close to zero governance. Jonny then explores the "Goldilocks" zone that ensures organizational risks and opportunities are handled while giving teams as much autonomy as possible.

KubeFlows Serverless Component: 10x Faster, a 1/10 of the Effort

December 12, 2019

Serverless simplifies data science by automating the process of code to container and enables users to add instrumentation and auto-scaling with minimum overhead. However, serverless has many limitati …

Handling Risky Business: Cluster Upgrades

November 27, 2019

Have you ever had to upgrade your Kubernetes clusters to update to a new release version, push new features or patch critical security vulnerabilities? Did it ever feel daunting to live update API mas …

Intro: Rook

November 9, 2019

In this talk, we will be introducing the Rook project to attendees of all levels and experience. Rook is an open source cloud-native storage orchestrator for Kubernetes, providing the platform, framew …

Automating with Operators

October 14, 2019

Kubernetes scales and manages stateless applications quite easily. Stateful applications can require more work. Databases, caching systems, and file stores are harder to dynamically manage with data i …

Kubernetes Lifecycle Management with Cluster API

October 13, 2019

Kubernetes has a common set of APIs to create containers regardless of the deployment mechanism or cloud provider. Kubernetes also has APIs for handling some infrastructure like load balancers, ingres …

Managing Large-Scale Kubernetes Clusters Effectively and Reliably

September 28, 2019

As the business grows, we need to deploy Kubernetets into several data centers all around the world. There are more than ten thousands of Nodes in a single data center. The critical challenge we are f …

Performing Infrastructure Migrations at Scale

September 23, 2019

Everyone is excited to adopt the latest technology trends, but how do you migrate from one technology to another when you have high availability requirements? How do you separate hype from a technolog …

Test Automation for DLT-based Applications in Finance

September 19, 2019

The presentation will focus on the experience of the team with automating the software testing activities around complex hybrid systems containing traditional as well as DLT components. The challenges …