Lennart Koopmann, Founder & CTO, Graylog
Nick Carstensen, Sr. Product Manager, Cybersecurity, Graylog
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Get an overview of how OpenSearch components can be used to successfully detect anomalies for critical cybersecurity challenges (i.e., brute force attacks, data exfiltration, etc.) that are indicators of potential cyber threats for organizations of all sizes, and in all industries.
Nicholas Knize, OpenSearch Maintainer, Lucene Committer and PMC Member
Interested in contributing to OpenSearch? Curious how to get started? This session will answer some of these questions and more by raising the hood and exploring the code base. We hope you will walk away with a better understanding of the architecture and implementation so you can begin contributing today.
Ziv Segal, CEO & Co-Founder, Opster
The OpenSearch Kubernetes Operator was the product of a unique, international collaboration by the OSS community. We’ll cover everything you need to know about the Operator, including installation, hardware requirements and environment compatibility, and best practices. You’ll also learn about features such as out-of-the-box security, auto-scaling, upgrading sessions, blue-green deployments, and more.
Daniel Doubrovkine, Principal Engineer, OpenSearch
Prabhakar Sithanandam, Principal Engineer, OpenSearch
In 2020 Pinterest was ingesting 1.7 TB of data daily, growing to 3 TB that year. Since then, data volumes haven't just grown exponentially, they have exploded. Hundreds of terabytes per day is no longer some crazy number in 2022—you can draw a curve from there into the future. The big question now is not whether OpenSearch can support a few TB of data per day, rather what does OpenSearch need to look like to support hundreds of TB of data, and how soon? In this talk, we’ll present and explore some disruptive ideas for the next decade of OpenSearch.
Jeff Zemerick, Search Relevance Consultant, OpenSource Connections
With OpenSearch being available under the Apache License, this provides exciting possibilities to contribute to the future of the project—but how do you get the most benefit from your contributions? We will describe common pitfalls and best practices that’ll help you maximize your contributions to the OpenSearch project, so you’re able to get beyond just committing on code.
Rafael Gumiero, Sr. Analytics Specialist Solutions Architect, Amazon Web Services
Prashant Agrawal, Search Specialist Solutions Architect, OpenSearch Service at AWS
Learn how to instrument, collect, correlate, and analyze traces along with log data from the user frontends to service backends. We'll demo these concepts using OpenSearch, Open Telemetry, FluentBit, Data Prepper, and OpenSearch Kubernetes Operator.
Mehdi Bendriss, Senior Software Engineer, Canonical
This session will showcase a cloud-vendor agnostic alternative to deploying and operating OpenSearch in a hybrid multi-cloud scenario. An open-source solution is used to achieve this, the Charmed Operators. The end goal is to empower developers to use and operate OpenSearch solutions in production, as well as lowering the adoption barrier.
David Venable, Senior Software Engineer, Amazon Web Services
Rajiv Taori, Principal Product Manager, Technical, Amazon Web Services
Data Prepper is an open source data collector for observability data, as well as a stand-alone application that runs as a last-mile ingestion. Teams can create data pipelines in Data Prepper that receive events from their application hosts and ingest into OpenSearch. Data Prepper provides stateful processing of trace data and log events to aggregate data before ingesting into OpenSearch. It also provides a suite of processors to transform events before sending into OpenSearch. In this session, we’ll not only introduce you to Data Prepper, we’ll walk you through some of the use cases it supports and provide guidance on how to use it for ingesting log and trace data into OpenSearch.
Andriy Redko, Staff Software Developer, Aiven Oy
Obtaining fast query times when dealing with large amounts of data in OpenSearch can be a challenge and unfortunately there's not a single solution that will work in all the use cases. This talk explores two somewhat orthogonal, but closely related techniques to address the problem available to the community as of OpenSearch 2.1.0.
James Sharpnack, Senior Applied Scientist, AWS
Xingjian Shi, Senior Applied Scientist, Amazon AI
In modern search, our databases can be any modality—text, images, tabular—and we propose to add multimodal search capabilities to OpenSearch through AutoGluon, Amazon’s open-source AutoML software. Through multimodal embeddings, we’re able to perform semantic search and retrieve data based on its contextual meaning. In this session, we’ll discuss how with these embeddings, we can detect anomalous data and assess the similarities between datasets to improve our models.
Charlotte Henkle, Senior Software Development Manager, OpenSearch
We’ve talked a lot about how much the OpenSearch project has grown over the last year. In this session, we’ll take a look ahead at the OpenSearch roadmap and share more with you about what we have planned for the next release, the far-off foggy future, and everything in between.
Join the OpenSearch community for a day of learning, collaboration, and innovation with the people and organizations that are shaping the future of the OpenSearch project. This free-to-attend, one-day conference brings together users, developers, and technologists across the OpenSearch community to explore real-world successes and new applications. Connect with peers and partners who can help you solve today’s search challenges and unlock the next phase of your OpenSearch journey.
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When: September 21, 2022, 10:00 a.m. – 6:30 p.m.
Where: Seattle – Fremont Studios, 155 N 35th St, 98103
Who: OpenSearch users, developers, and other community members
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Please note that all speakers and attendees are required to adhere to the OpenSearch Code of Conduct and the AWS Event Terms and Conditions.
Jonah is the CTO of Logz.io, an open-source based SaaS observability and SIEM platform, as well as computer scientist and open-source contributor to OpenSearch, Jaeger, OpenTelemetry. Jonah previously led Gartner research on monitoring, drove product leadership at AppDynamics and Cisco (post-acquisition), and was CTO at Kentik.
Daniel (aka dB.) is a Principal Engineer at AWS in New York, working on OpenSearch. He is a seasoned entrepreneur, technologist and former CTO at Artsy.net. Daniel graduated from University of Geneva in late 90s with a degree in Computer Science. Daniel is the creator and maintainer of many popular open-source projects and a lifetime artist.
As founder, Lennart has led Graylog through its transition from an open-source project to a powerful product portfolio since 2009. As Graylog’s CTO, he frequently speaks at events and conferences throughout the year, and his hands-on approach drives innovative thinking in all aspects of the business and company culture.
Charlotte is a Senior Software Development Manager at the OpenSearch project supporting the OpenSearch engine, Efficiency, and Clients teams. She’s worked for Amazon for 14 years, including being part of the Amazon Retail Catalog, Amazon Photo, and Amazon Explore teams. Prior to Amazon, Charlotte wrote software for federal clients, including the Marine Corp and the FBI, as well as the having worked for the University of Chicago, Biological Learning Center.
Ziv is the co-founder & CEO of Opster, a platform that takes care of all Elasticsearch and OpenSearch operation needs. The platform improves performance, ensures stability and reduces hardware costs. Ziv has over a decade of experience working with search operations and is the Former Chief Architect & Founding Member Logz.io.
Prashant is a Search Specialist Solutions Architect with OpenSearch Service. He works closely with customers to help them migrate their workloads to the cloud and helps existing customers fine-tune their clusters to achieve better performance and save on cost. Before joining AWS, he helped various customers use OpenSearch and Elasticsearch for their search and log analytics use cases. When not working, you can find him traveling and exploring new places.
Xingjian obtained his PhD. in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST). He has conducted research on recurrent neural network, graph neural network, Bayesian deep learning, and computer vision, with publications in top venues including NeurIPS, ICCV, WWW, AAAI, JMLR, etc.
James received his PhD from Carnegie Mellon University in the joint program in Statistics and Machine Learning. He was a postdoctoral researcher in the Mathematics department at UC San Diego before he joined the Statistics department at UC Davis as an Assistant Professor.His research spans the topics of graph signal processing, anomaly detection, scan statistics, point processes, recommender systems, contextual bandits, trend filtering, nearest neighbors, epidemic forecasting and data analysis, and transportation data analysis.
Rajiv is Principal Product Manager - Technical at Amazon Web Services working on OpenSearch with a focus on observability, security, data ingestion, and OpenTelemetry. Before joining AWS, Rajiv served as an Operating Executive at Silver Lake, VP & GM for Citrix Mobile products group, and Founder/CEO of MobileOps.
Mehdi is a Senior Software Engineer working on the Data Platform team at Canonical. His current focus is on creating charmed operators for data products, namely, OpenSearch. He has experience designing and building data platforms on the cloud. Prior to joining Canonical, he was a Senior Data Platform engineer at Scout24 SE.
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Please email us with your questions.
OpenSearchCon 2022 will be held indoors. Masks are optional. Please note that COVID protocols may change and will be updated per local laws and policies.
Vaccinations
OpenSearchCon 2022 attendees must be fully vaccinated against COVID-19 prior to checking in at the event. Fully vaccinated is defined by the Centers for Disease Control as 2 weeks after receiving recommended doses in their primary series of the COVID-19 vaccine.
A record of COVID-19 vaccination must be provided at onsite check-in to receive your badge. Acceptable records include the attendee’s physical COVID-19 vaccination/immunization card or digital COVID-19 certificate, COVID-19 vaccine certificate, a photo of the attendee’s COVID-19 vaccination/immunization card or a digital verification of the attendee’s COVID-19 record from a smartphone application. The name on the attendee’s vaccination record must match their government-issued ID.
Testing opt-out
Attendees who are attending OpenSearchCon 2022 who choose not to show a record of being fully vaccinated against COVID-19 are able to attend if the attendee provides a record of a negative COVID-19 test. The name on the attendee’s test record must match their government-issued ID.
Acceptable negative test results are limited to polymerase chain reaction (PCR) and antigen test results provided by a third-party laboratory no more than 24 hours prior to the start of the event for an antigen test and 72 hours for a PCR test. Self-administered tests will not be accepted.