Track: Sponsored Solutions Track III

Handling Real-time Distributed Data Ingest

Software solutions, such as those for personalization, metering, IoT require processing of extremely large volumes of data in real time. High-speed data ingest and processing poses several challenges such as

1. Managing large volume of data sometimes arriving in bursts
2. Receiving data from multiple sources
3. Filtering, analyzing or forwarding data with different formats

Redis, the high-speed, open source in-memory database platform offers data structures and messaging services, that enable combining high-speed data ingest and real-time analytics. This session will cover the architectural and design challenges in accomplishing fast data ingest and real-time analytics, and in combining the both. The second half of the session will focus on performing a live demonstration of combining fast data ingest and real-time analytics on Redis using

1. Redis Pub/Sub – publish and subscribe messaging framework
2. Redis List data structure for message queueing and filtering
3. Time series data modeling using Redis Sorted Set and Pub/Sub

The demonstration will show how to perform real-time analytics with examples in filtering, classification, aggregation, and deduplication.

Experiences with Apache Beam

Apache Beam is an emerging programming API for streaming applications. This talk will discuss experience with Apache Beam from the "outside", including developing a runner for an existing streaming engine and how well Beam supports low latency streaming paradigms including complex analytics.

DevOps 2.0 - When Everyone Can Run What’s Built

The cultural change of “DevOps” beyond just developers and operations is just at the beginning.

What happens when an entire organization changes from shipping once a year to once a month, then multiple times a month, week or even daily?

How do developers approach a sprint when their code can be live in real time?

How does product management change when features can evolve daily?

How does marketing change when the features of tomorrow can be immediately influenced by response to messaging today?

We’re at the very beginning of thinking of code as a living object instead of a static file thrown over the wall.

From Chaos to Clarity for Git at Scale

Like most development teams, it is likely your team has adopted Git to manage code. If your team is large, distributed, or you are trying to combine the work of teams using different Git tools, it is also likely you are experiencing challenges. Challenges of scale, performance, and repository management are common in mid to large development teams.

Perforce Software, an enterprise favorite for securely managing code and large binary files, is inaugurating a new era for large-scale development projects as it unveils its latest portfolio additions and product enhancements.

In this Solutions Track, we’ll take a closer look at Helix TeamHub Enterprise. Powered by Helix4Git, Helix TeamHub Enterprise offers native Git tools and workflows at scale to address the challenges that threaten to disrupt larger, multi-repository projects.

Join Perforce Consultant Paul Allen to learn how enterprises are already leveraging Perforce 2.0 to transform their technology development lifecycle by:

• Scaling DevOps workflows with up to 80 percent faster build pipelines. • Enabling familiar Git-based workflows together with large scale repository management. • Protecting IP and project assets with fine-grained security controls. • Combining multiple repository and version control types in the same project. • Enabling project teams to self-manage. • Include large binary content and code in a highly efficient development workflow.

Practical Microservices

Microservices may be small in size, but they have huge potential, especially when you pair them with the idea of event-driven architecture (EDA). Today developers are using microservices as the building blocks behind all kinds of cloud and enterprise applications, but most still think microservices = REST, which limits you to polling/reactive interactions.

[Cancelled] Building A Great Engineering Culture

As more and more Enterprise Software companies build solutions for the Internet-of-Things market, enterprise software engineers and embedded engineers come together on product teams. While Cloud developers debate issues like horizontal scale and canary deployments, embedded engineers deliberate power budgets and direct memory access. Without conscious effort, the cultural gap can lead to friction, delayed projects and frustration. This talk highlights best practices on how to successfully put together such teams right from interviewing to onboarding, bridge the software development cultural gap, and successfully deliver, in a short period of time, products that span low footprint software on one side of the spectrum to highly scalable SaaS Environments at the other end.