complexity

Self Modifying Code in Linux Kernel - What, Where and How

Self Modifying Code in Linux Kernel - What, Where and How

January 30, 2020

Text segment is READONLY… Wait, what? Who said that? Modern Linux kernel uses self modifying code a lot. And that's not only about modules loading.During this talk, we'll look at how different kinds …
Helm 3: Navigating to distant shores

Helm 3: Navigating to distant shores

January 29, 2020

Bridget Kromhout and Jessica Deen lead a demo-fueled exploration of the differences between Helm 3 and the Helm of yore, tips for a successful rollout or upgrade, and opportunities to shape the projects future.
Real-time streaming APIs: From data center to internet clients

Real-time streaming APIs: From data center to internet clients

January 26, 2020

When designing APIs such as the new GCP Firestore real-time database and Google Assistant, how did Google decide which trade-offs to make? Wenbo Zhu dives deep into the challenges faced while deploying a real-time streaming API designed for clients from data centers to the internet and details the trade-offs API developers need be aware of when designing such an API.
Easy HTTPS for your Microservice Architectures

Easy HTTPS for your Microservice Architectures

January 25, 2020

In the era of containers and other dynamic platforms, management of entry points is becoming a great challenge, with the large amounts of application deployments requiring entry points to update often …
Infrastructure first: Because solving complex problems needs more than technology

Infrastructure first: Because solving complex problems needs more than technology

January 21, 2020

Drawing from work in technology, community development finance, social psychology, complexity theory, and championship sports, Everett Harper moves to the edge of these disciplines, centering on the key practices that are crucial for solving our most critical challenges.
How Did Automotive Grade Linux become THE Open Source Community Cars?

How Did Automotive Grade Linux become THE Open Source Community Cars?

January 20, 2020

Car companies and their suppliers long ago learned how to take raw steel and turn it into a finished product. When software first entered the car, it was all closed source, but at the turn of the twen …
Learning from failure: Why a total site outage can be a good thing

Learning from failure: Why a total site outage can be a good thing

January 19, 2020

Alex Elman explains how Indeed used a site-wide outage as an opportunity to build resilience, improve reliability, and make lasting improvements to the engineering culture.
The cloud native elephant in the room (sponsored by Oracle Cloud Infrastructure)

The cloud native elephant in the room (sponsored by Oracle Cloud Infrastructure)

January 19, 2020

While cloud native appears to be on a winning streak, there are too many enterprise development teams being left behind. Bob Quillin outlines how the cloud native community can create a more open multicloud future, reduce complexity (rather than piling more on), and be more inclusive to all teamsmodern and traditional, startups and enterprises alike.
The Ops in the Serverless

The Ops in the Serverless

January 19, 2020

Examining the increased need for specialized Operations Engineering in the Age of Serverless
Building a sales AI platform: Key principles and lessons learned

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.
Deep learning with TensorFlow and Spark using GPUs and Docker containers

Deep learning with TensorFlow and Spark using GPUs and Docker containers

January 12, 2020

Organizations need to keep ahead of their competition by using the latest AI, ML, and DL technologies such as Spark, TensorFlow, and H2O. The challenge is in how to deploy these tools and keep them running in a consistent manner while maximizing the use of scarce hardware resources, such as GPUs. Thomas Phelan discusses the effective deployment of such applications in a container environment.
Getting ready for GDPR and CCPA: Securing and governing hybrid, cloud, and on-premises big data deployments

Getting ready for GDPR and CCPA: Securing and governing hybrid, cloud, and on-premises big data deployments

January 10, 2020

New regulations such as CCPA and GDPR are driving new compliance, governance, and security challenges for big data. Infosec and security groups must ensure a consistently secured and governed environment across multiple workloads. Mark Donsky, Ifigeneia Derekli, Lars George, and Michael Ernest share hands-on best practices for meeting these challenges, with special attention paid to CCPA.
How do you evolve your data infrastructure?

How do you evolve your data infrastructure?

January 10, 2020

Developing data infrastructure is not trivial; neither is changing it. It takes effort and discipline to make changes that can affect your team. Neelesh Salian discusses how Stitch Fix's data platform team maintains and innovates its infrastructure for the company's data scientists.
Learning the Linux Kernel Configuration Space: Results and Challenges

Learning the Linux Kernel Configuration Space: Results and Challenges

January 10, 2020

Given a configuration, can humans know in advance the size, the compilation time, or the boot time of a Linux kernel?Owing to the huge complexity of Linux (there are more than 15000 options with hard …
Building an Open Source Framework for the Edge

Building an Open Source Framework for the Edge

January 9, 2020

The problem: Widespread fragmentation and the complexity of the current IoT landscape are stalling the growth of the Industrial IoT market and making it difficult for partners to work together. The ov …
Insightful health: Amplifying intelligence in healthcare patient flow execution

Insightful health: Amplifying intelligence in healthcare patient flow execution

January 9, 2020

Fabio Ferraretto and Claudia Regina Laselva explain how Hospital Albert Einstein and Accenture evolved patient flow experience and efficiency with the use of applied AI, statistics, and combinatorial math, allowing the hospital to anticipate E2E visibility within patient flow operations, from admission of emergency and elective demands to assignment and medical releases.
Learning "learning to rank"

Learning "learning to rank"

January 9, 2020

Identifying relevant documents quickly and efficiently enhances both user experience and business revenue every day. Sophie Watson demonstrates how to implement learning-to-rank algorithms and provides you with the information you need to implement your own successful ranking system.
The TOSCA Datacenter

The TOSCA Datacenter

January 2, 2020

TOSCA has been making inroads into the datacenter and it's high time we asked of it to take us all the way. Originally, it was aimed at deploying on-top-of-the-cloud workloads with the Simple Profile. …
Container Network Functions or Cloud Native Network Functions for 5G

Container Network Functions or Cloud Native Network Functions for 5G

December 31, 2019

Containers encapsulate microservices and allow flexibility and reusability with respect to deployment of components. However, they also create complexity as a single network function can be divided in …
Open source tools for machine learning model and dataset versioning

Open source tools for machine learning model and dataset versioning

December 29, 2019

ML model and dataset versioning is an essential first step in the direction of establishing a good process. Dmitry Petrov and Ivan Shcheklein explore open source tools for ML models and datasets versioning, from traditional Git to tools like Git-LFS and Git-annex and the ML project-specific tool Data Version Control or DVC.org.
Turn devices into data scientistsat the edge

Turn devices into data scientistsat the edge

December 28, 2019

Todays approach to processing streaming data is based on legacy big-data centric architectures, the cloud, and the assumption that organizations have access to data scientists to make sense of it allleaving organizations increasingly overwhelmed. Simon Crosby shares a new architecture for edge intelligence that turns this thinking on its head.
Building high-performance text classifiers on a limited labeling budget

Building high-performance text classifiers on a limited labeling budget

December 26, 2019

Robert Horton, Mario Inchiosa, and Ali Zaidi demonstrate how to use three cutting-edge machine learning techniquestransfer learning from pretrained language models, active learning to make more effective use of a limited labeling budget, and hyperparameter tuning to maximize model performanceto up your modeling game.
Efficient multi-armed bandit with Thompson sampling for applications with delayed feedback

Efficient multi-armed bandit with Thompson sampling for applications with delayed feedback

December 25, 2019

Decision making often struggles with the exploration-exploitation dilemma. Multi-armed bandits (MAB) are a popular reinforcement learning solution, but increasing the number of decision criteria leads to an exponential blowup in complexity, and observational delays dont allow for optimal performance. Shradha Agrawal offers an overview of MABs and explains how to overcome the above challenges.
Sponsored Keynote: Keep Kubernetes Caffeinated

Sponsored Keynote: Keep Kubernetes Caffeinated

December 23, 2019

Today, we have a whole host of amazing coffee makers that can take a pod of coffee, brew it, deploy it into your cup, add the milk and sweetener, and deliver it just how you like it. In the same way, …
The journey toward a self-service data platform at Netflix

The journey toward a self-service data platform at Netflix

December 20, 2019

The Netflix data platform is a massive-scale, cloud-only suite of tools and technologies. It includes big data tech (Spark and Flink), enabling services (federated metadata management), and machine learning support. But with power comes complexity. Kurt Brown explains how Netflix is working toward an easier, "self-service" data platform without sacrificing any enabling capabilities.
7 years of DDD: Tackling complexity in large-scale marketing systems

7 years of DDD: Tackling complexity in large-scale marketing systems

December 19, 2019

Vladik Khononov explains how he and his team embraced domain-driven design (DDD) at Plexop, a large-scale marketing system that spans over a dozen different business domains. Join in to learn how DDD allowed the team to manage business complexities, see what worked (and what didn't), and discover where they had to adapt the DDD methodology to fit the company's needs.
Moving to microservices: Using domain-driven design to break down the monolith

Moving to microservices: Using domain-driven design to break down the monolith

December 16, 2019

Agile practices and techniques like continuous delivery are all about being able to react to changes rapidly, but putting them into practice when you have a big monolith application can be difficult. Microservices offer one solution. Maria Gomez shows you how to move from a monolith to microservices by applying domain-driven design principles.
Managing Apache Flink on Kubernetes - FlinkK8sOperator

Managing Apache Flink on Kubernetes - FlinkK8sOperator

December 15, 2019

We have designed and built an open-source Kubernetes native operator that manages the complete lifecycle of Apache Flink applications from creation to execution. FlinkK8sOperator (https://github.com/l …