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Power Debugging with JTAG

January 24, 2020

Debugging power management issues is traditionally done via the serial console, Android USB/ADB, or SSH eventually. Besides being tedious, it is also intrusive debugging (CPU regular execution flow …

From chaos to insight: Automatically derive value from your user-generated content

January 23, 2020

Whether customer emails, product reviews, company wikis, or support communities, user-generated content (UGC) as a form of unstructured text is everywhere, and its growing exponentially. Stephanie Fischer explains how to discover meaningful insights from the UGC of a famous New York discussion forum.

Hudi: Unifying storage and serving for batch and near-real-time analytics

January 22, 2020

Uber has a real need to provide faster, fresher data to its data consumers and products, which are running hundreds of thousands of analytical queries every day. Nishith Agarwal, Balaji Varadarajan, and Vinoth Chandar share the design, architecture, and use cases of the second-generation of Hudi, an analytical storage engine designed to serve such needs and beyond.

Scaling data infrastructure in the fashion world; or, What is this? Business intelligence for ants?

January 18, 2020

Francesco Mucio tells the story of how Zalando went from an old-school BI company to an AI-driven company built on a solid data platform. Along the way, he shares what Zalando learned in the process and the challenges that still lie ahead.

ONAP Continuous Deployment on OOM Kubernetes via Public Cloud

January 17, 2020

This presentation will describe the Kubernetes based ONAP OOM docker deployment of the Amsterdam release in support of orchestration and management of the ONAP system. Using a Microsoft Azure public s …

Why and how to leverage the power and simplicity of SQL on Apache Flink

January 16, 2020

Fabian Hueske discusses why SQL is a great approach to unify batch and stream processing. He gives an update on Apache Flink's SQL support and shares some interesting use cases from large-scale production deployments. Finally, Fabian presents Flink's new query service that enables users and applications to submit streaming and batch SQL queries and retrieve low-latency updated results.

Linkerd 2.0, Now with Extra Prometheus

January 8, 2020

In order to provide zero-config observability for service owners running their application on Kubernetes, Linkerd 2.0 needs to scale to any size Kubernetes cluster. In this talk, Andrew Seigner from t …

Intro: CNCF Cross-Cloud CI

January 4, 2020

The CNCF CI Working Group was asked to demonstrate best practices for integrating, testing, and deploying projects within the CNCF ecosystem across multiple cloud and bare metal providers. The Cross-C …

Comprehensive container-based service monitoring with Kubernetes and Istio

December 31, 2019

Do you have a real understanding of the performance of your new Kubernetes service, or do you just know what the average user is seeing? Fred Moyer explains how to get a comprehensive understanding of your Kubernetes infrastructure with a little math and an Istio service mesh implementation for your container-based infrastructure.

Deep Dive: CNCF Cross

December 29, 2019

CNCF Cross-Cloud CI - Adding Support for New Platforms

December 25, 2019

The CNCF cross-cloud project deploys Kubernetes and popular cloud native applications to multiple platforms on a nightly basis. The results are available each day on the CNCF cross-cloud dashboard, ht …

Using Services Outside Kubernetes from Kubernetes with the Service Catalog

December 23, 2019

Combining Kubernetes with external services available from public cloud providers can be a powerful way to deploy cloud native applications. Developers can focus on deploying their applications to Kub …

Using AI to solve performance problems (sponsored by Salesforce)

December 18, 2019

Jasmin Nakic and Jackie Chu share techniques to identify performance challenges by analyzing production data from Salesforce and other sources and explore the AI models to predict trends, detect anomalies, and troubleshoot performance problems.

Got a Need for Speed? Accelerate Your Prometheus Dashboard Using Trickster

December 16, 2019

We live in a world where high performance, and speed are essential. A few extra seconds of response time on a dashboard can be a deal breaker. Many dashboards request the entire time range of data fro …

Architectural design for interactive visualization

December 12, 2019

Creating visualizations for data science requires an interactive setup that works at scale. Bargava Subramanian and Amit Kapoor explore the key architectural design considerations for such a system and discuss the four key trade-offs in this design space: rendering for data scale, computation for interaction speed, adapting to data complexity, and being responsive to data velocity.

Single Sign-On for Kubernetes

December 11, 2019

User management is hard. At Pusher, with an expanding engineering team, we wanted to build a simple identity management experience within our Kubernetes infrastructure. In this talk, I explore authent …

Improving computer vision models at scale

December 8, 2019

Rigorous improvement of an image recognition model often requires multiple iterations of eyeballing outliers, inspecting statistics of the output labels, then modifying and retraining the model. Marton Balassi, Mirko Kmpf, and Jan Kunigk share a solution that automates the process of running the model on the testing data and populating an index of the labels so they become searchable.

Prometheus for Devs

December 3, 2019

Having Microservices without proper monitoring tools is like driving the freeway without lights at night. One of those proper tools is Prometheus. In this workshop I will discuss/show * the general ar …

Scalable Monitoring Using Prometheus with Apache Spark

December 1, 2019

As spark applications move to a containerized environment, there are many questions about how to best configure server systems in the container world. In this talk we will demonstrate a set of tools t …

From the presidential campaign trail to the enterprise: Building effective data-driven teams

November 26, 2019

The 2012 Obama campaign ran the first personalized presidential campaign in history. The data team was made up of people from diverse backgrounds who embraced data science in service of the goal. Civis Analytics emerged from this team and today enables organizations to use the same methods outside politics. Katie Malone shares lessons learned from these experiences for building effective teams.

Federated Prometheus Monitoring at Scale

November 18, 2019

In Media Build and Products under Oath, We run 12 production Kubernetes clusters running across our data centers with ~1200 machines with multi-tenant deployments. We monitor our cluster with Promethe …