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Track: Solutions Track II

Location: Westminster, 4th flr.

Day of week: Tuesday

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, QCon and InfoQ

Over the last decade, 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

Writing Reliable End to End Tests

At ThoughtWorks we place a high value on test automation. We’ve built a lot of testing tools. We talk and write about how important testing is. And that’s because we know teams rely on tests to quickly detect and fix problems in every stage of the build pipeline. But the truth is, it’s tough to maintain or debug tests, especially end to end functional tests.


In this session we look at reasons why end to end tests are slow, flaky and hard to maintain. Learn how DSL's, readability, reusability, smart selectors and implicit waits solve issues around test maintenance. We also look at how Gauge and Taiko, two free and open source test frameworks, implement these design principles for reliable browser based testing.

Zabil Cheriya Maliackal, Product Manager of Gauge @thoughtworks

11:50am - 12:40pm

Streaming Analytics - Actionable Machine Learning Insights

Are you ready to take your machine learning algorithms and make them operational within your business in real time? In this talk, we will walk through an architecture for taking a machine learning model from training into deployment for inference within an open source platform for real-time stream processing.

We will also cover:

  • The typical workflow from data exploration to model training through to real-time model inference (aka scoring) on streaming data.
  • Important considerations to ensure maximum flexibility for deployments that need the flexibility to run in Cloud-Native, Microservices and Edge/Fog architectures.
  • How the technologies like IMDG and Streaming Engine combine to provide performance at scale.
  • Live demonstration of a working example of a machine learning model used on streaming data within Hazelcast Jet.

The talk is aimed at Architects and Developers alike who are keen to explore ways to inject intelligence from Machine learning to existing or new platforms in real-time.

Riaz Mohammed, Senior Solutions Architect @hazelcast

1:40pm - 2:30pm

The State of Open Source Vulnerabilities Management

Open source usage has become a mainstream practice — it’s impossible to keep up with today’s pace of software production without it. 


The rise in open source usage has led to a dramatic rise in the number of open source vulnerabilities. It hit an all-time record in 2017 with 3,500 reported vulnerabilities - that's 60% higher than the previous year, and the trend continues.  Development teams are challenged to meet security objectives, without compromising on speed and quality.  It's time for organizations to step up their open source security game. Join Pyhto Michael's he discusses: 

  • the current state of open source vulnerabilities management;
  • developers' struggle to handle open source vulnerabilities; and
  • the key strategy for effective vulnerability management.

Phyto Michael, Solution Engineer @WhiteSourceSoft

2:55pm - 3:45pm

Better User Experience in the Era of Digital Transformation

Slow is the new down. User experience plays a significant role in determining the success of a business as businesses globally are on their digital transformation trajectory. While DevOps teams are embracing public / hybrid cloud to run their business applications, they are left to battle diverse operational and technical challenges in providing better user experience, and using multiple tools to achieve this goal can be taxing. Learn how DevOps in combination with AIOps can help solve this predicament and assure a seamless user experience.

Rajalakshmi Srinivasan, Product Manager @Site24x7

4:10pm - 5:00pm

Operating Multi-Tenant Kafka Services for Developers on Heroku

Operating Kafka as a service, at scale, is one challenge. Operating multi-tenant Kafka as a service, at scale, brings all kinds of new challenges. How do you determine the optimum packing density? How do you define and enforce resource limits so all tenants can coexist? How do you handle a large number of partitions? Learn how we worked our way through these problems, formed the opinions built into our service today, and designed a product that developers love. And see what some of our most advanced data-driven customers are doing with Kafka and Heroku.

Tom Crayford, Infrastructure Engineer @Heroku

5:25pm - 6:15pm

Observability for Microservices: Practical Advice

The simple goal of observability is to make systems better. Gaining insights into the behavior of systems is critical to improve their overall health and resiliency and this is imperative for distributed systems, especially those with more cloud native architectures like microservices. But observing these complex software architectures can be a real pain. 


In this talk, Alex will share his insights on how logs can become the central signal for enabling observability for microservices architectures. Alex will also share his top tips on using observability best practices to gain a better understanding of the behavior of complex systems.

Alex Tasioulis, Software Engineer with focus on Cloud Native Way

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