Track: Sponsored Solution Track IV

Location: Pacific BC

Day of week: Wednesday

Industry practitioners and technical product managers from leading vendors demonstrate solutions to some of today's toughest software development challenges in the areas of performance monitoring, Big Data, software delivery, scalability, and more.

Track Host:
Nitin Bharti
Managing Editor and Product Manager C4Media

Nitin has helped build several notable online developer communities including, DZone, and The Code Project. He is known for his extensive editorial work in the Enterprise Java, .NET, SOA, and Agile communities. As Managing Editor and Product Manager at C4Media - the producer of and QCon events - Nitin continues to pursue his primary passion: helping spread knowledge and innovation throughout the enterprise software development community.

10:35am - 11:25am

by Thomas Hooker
VP of Marketing @CollabNet

Together we are on a share quest; to make our customers happier, our organizations more successful, the world a more connected place. Our tool of choice is software. Our goal to delivery more compelling software, faster! Our go to answer is Agile and evolving to DevOps. But what does this really mean for the existing enterprise and how do we get there?

In this session, we will explore these questions and potential answers through the examination of a past development project gone away...

11:50am - 12:40pm

by Kyle Davis
Technical Marketing Manager @RedisLabs

In this session, we will explore how to extend session stores beyond just persisting authentication. By centralizing the session state (potentially de-coupled from user records) in a database it is possible to provide user experience enhancements, deep analytics, notifications, and personalization. Techniques examined in this talk will be using session-linked Bloom filters to surface fresh content, site-wide or group-based notifications and bitfield-based activity pattern monitoring.


1:40pm - 2:30pm

by Brian Bulkowski
CTO and Co-Founder @Aerospike

Containers are great vessels for your application’s ephemeral data, but what about the data that drives your business? It must survive containers coming and going, maintain its availability and reliability, and grow when you need it. In this talk, we will discuss strategies for working with persistent containers, where you can store your data, and how to scale your persistent container layer. We will include code samples and interactive demos showing the power of Docker Machine, Engine,...

2:55pm - 3:45pm

by James Truitt
Technical Evangelist @Microsoft

Microservces are small services with independent lifecycles that work together” -Sam Newman. In this talk we’ll explore building real world microservices application using using Node.JS and kubernetes on Azure. After a brief introduction of what microservices are and why they are important, we'll spend the bulk of the time looking at how BDD, CQRS, and Event Sourcing coupled with modern CI/CD techniques can help you deploy containers to Azure. We’ll explore best practices, code, and tooling...

4:10pm - 5:00pm

by Ozgun Erdogan
CTO & Co-Founder @CitusData

Set theory forms the basis for relational algebra and relational databases, and SQL is the lingua franca of modern RDBMS’s. Even with all the attention given to NoSQL in recent years, the lion share of database usage remains relational. But until recently, nearly all relational database solutions have been limited to the resources of a single node. Not anymore.

This talk is about my team’s journey tackling the challenges of distributing SQL. Specifically in the context of my favorite...

5:25pm - 6:15pm

by Robert Munro
VP of Machine Learning @CrowdFlower

Machine Learning applications need to continually update their models with new training data to improve and maintain accuracy. However, it is often difficult to decide what new data needs to be labeled for training, and what are the best workflow and interfaces for labeling. This talk will focus on how you can use Active Learning to improve your training data at scale with common Deep Learning frameworks. At the end of this talk, you will understand several...



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    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • The Whole Engineer

    Success as an engineer is more than writing code. Hear inward looking thoughts on inclusion, attitude, leadership, remote working, and not becoming the brilliant jerk.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Modern CS in the Real World

    Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.