Bridging, not Breaking Tradition: Use Service Mesh Expansion to Connect Legacy Workloads to Kubernetes Services
March 1, 2020
Kubernetes has become a preferred platform for hosting distributed and portable services and applications. With this, Istio service mesh can be deployed to address service discovery, service-to-servic …
Highly available cross-region deployments with Kubernetes
February 27, 2020
Out-of-the-box Kubernetes makes it easy to deploy and scale your applications within one Kubernetes cluster in one single region. But it's also possible to deploy an application over multiple clusters in different regions, so it becomes truly highly available even if a complete region fails. Learn how to deploy one application across multiple federated Kubernetes clusters with Bastian Hofmann.
M3 and Prometheus: Monitoring at planet scale for everyone
February 27, 2020
Rob Skillington and ukasz Szczsny explore scaling monitoring, alerting, and configurational complexity for a single view of your applications, databases, infrastructure, and operations across all regions using M3 and Prometheus.
What remains of dashboards and metrics without the hype and anti-patterns
February 24, 2020
Open source tools for dashboarding and metrics have seen massive adoption in recent years. Riding the hype, the new, shiny tools are inevitably confronted with overblown expectations and problematic usage patterns, causing frustration and criticism. Bjrn Rabenstein outlines how to use dashboards and metrics effectively rather than condemning them altogether.
Open Source CVE Monitoring and Management: Cutting Through the Vulnerability Storm
February 19, 2020
A key aspect to maintaining device security is monitoring and addressing known vulnerabilities in open source software in a timely fashion. This presentation will help you get started with the process …
Data science and the business of Major League Baseball
February 16, 2020
Using SAS, Python, and AWS SageMaker, Major League Baseball's (MLB's) data science team outlines how it predicts ticket purchasers likelihood to purchase again, evaluates prospective season schedules, estimates customer lifetime value, optimizes promotion schedules, quantifies the strength of fan avidity, and monitors the health of monthly subscriptions to its game-streaming service.
From whiteboard to production: A demand forecasting system for an online grocery shop
February 13, 2020
Data-driven software is revolutionizing the world and enable intelligent services we interact with daily. Robert Pesch and Robin Senge outline the development process, statistical modeling, data-driven decision making, and components needed for productionizing a fully automated and highly scalable demand forecasting system for an online grocery shop for a billion-dollar retail group in Europe.
Hands-on machine learning with Kafka-based streaming pipelines
February 13, 2020
Boris Lublinsky and Dean Wampler examine ML use in streaming data pipelines, how to do periodic model retraining, and low-latency scoring in live streams. Learn about Kafka as the data backplane, the pros and cons of microservices versus systems like Spark and Flink, tips for TensorFlow and SparkML, performance considerations, metadata tracking, and more.
Online machine learning in streaming applications
February 11, 2020
Stavros Kontopoulos and Debasish Ghosh explore online machine learning algorithm choices for streaming applications, especially those with resource-constrained use cases like IoT and personalization. They dive into Hoeffding Adaptive Trees, classic sketch data structures, and drift detection algorithms from implementation to production deployment, describing the pros and cons of each of them.