Track: Sponsored Solutions Track I

Location: Pacific BC

Day of week: Monday

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 Mike Spicer
Distinguished Engineer, Lead Architect, IBM Streams

As the world is becoming more instrumented and connected there is a shift to event driven architectures that analyze and act on events as they happen to give more intelligent applications and personalized experiences. We’ll discuss the shift from a traditional big data approach to an event driven architecture for real time analytics and intelligent applications. The technologies and components that make up an event driven architecture and the changing demands of moving to real time. We’ll...

11:50am - 12:40pm

by Sasha Rosenbaum
Azure TSP @Microsoft

Serverless frees developers from managing infrastructure, but it can be challenging to debug, deploy, and monitor applications. In this session, we'll demonstrate best practices for unit testing, integration testing and deployment. Learn how to create a robust CI/CD pipeline and deploy safely to production. Instrument your code so that you have rich telemetry and alerting. We'll show how to implement these best practices using various serverless technologies in Azure.

1:40pm - 2:30pm

by Ryan Boyd
Engineer & Head @DevRel

Neo4j just released an open source library of graph algorithms that run directly in their open source graph database. These algorithms, callable from Cypher, enable clustering & community detection, centrality measurement, and more. Applying these algorithms, developers can create better content recommendations, improve social influencer analysis, and improve fraud detection.

This represents a new architectural pattern for graph analysis -- running real-time and directly on top of...

2:55pm - 3:45pm

by Nic Raboy
Senior Developer Advocate @Couchbase

My toaster stores data without SQL and without tables. But making a choice based on what something doesn’t have isn’t terribly useful. “NoSQL” is an increasingly inaccurate catch-all term that covers a lot of different types of data storage. Let’s make more sense of this new breed of database management systems and go beyond the buzzword. In this session, the four main data models that make up the NoSQL movement will be covered: key-value, document, columnar and graph. How they differ and...

4:10pm - 5:00pm

by Kirk Lewis
Field Engineer @Pepperdata

This talk presents the results of analyzing many Spark jobs on many multi-tenant production clusters. Kirk discusses common issues seen, the symptoms of those issues, and how developers can address them.

At Pepperdata, we have gathered trillions of performance data points on production clusters running Spark, covering a variety of industries, applications, and workload types. We will present key performance insights — best and worst practices, gotchas, and tuning recommendations —...

5:25pm - 6:15pm

by Karthik Ranganathan
Co-Founder & CTO @YugaByte

Today’s public and private clouds are built to run cloud-native applications architected for shared-nothing, scale-out, commodity infrastructure that can fail often. They give enterprises easy access to a number of geo-distributed datacenters for increased availability and fault-tolerance but also require application developers to think about infrastructure agility, data locality and cross-datacenter replication. Mission-critical applications with their strict need for data correctness and...



  • Architectures You've Always Wondered About

    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.