If you are passionate about building tomorrow’s innovations today, join us for a full day of technical sessions and demos and learn how Google Cloud can help you to do so.
Google Cloud product experts and engineers will talk about the tools you need to develop, deploy, and manage data pipelines and ML models at any scale, how to run and operate securely and defend your organization’s infrastructure against emerging threats at modern scale, about building, deploying, and maintaining applications and infrastructure effortlessly on Google Cloud.
Whether you’re a cloud native or just starting your cloud journey, this event is especially designed to take your innovations to the next level.
Agenda
Pick any one of the tracks below to enjoy content that matches your interest:
Track 1: Serverless platform engineering workshop
Join us for a hands-on Serverless Platform Engineering Workshop where you will gain practical experience with cloud services, event-driven architecture, and serverless frameworks, as well as best practices for security, scalability, and cost optimization. This event is designed for professionals who are interested in learning about the latest trends and techniques in platform engineering, and how to build, deploy and operate scalable and highly available platforms.
Please bring your personal laptop and charger.
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08:45
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09:30
The importance of platform engineering in a serverless world.
The rapid adoption of serverless technologies has revolutionized the way organizations build, deploy, and manage their applications and services. However, as the use of serverless technologies increases, the need for platform engineering becomes even more critical. In this session, we will discuss why platform engineering is crucial in a serverless world and what it involves. We will also explore the key skills and best practices that platform engineers need to master in order to succeed in this fast-evolving landscape.
Level - Knowledgeable
Speaker - Uri Katsir, Customer Engineer, Google Cloud
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10:15
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10:30
Maximizing developer productivity with platform engineering.
We will explore various strategies and tools for streamlining development processes, reducing time to market, and improving code quality. By the end of the session, attendees will have a deeper understanding of how platform engineering can be leveraged to drive developer efficiency and success.
Level - Knowledgeable
Speakers - Eden Marco, Customer Engineer, Google Cloud, Dan Aronson, Platform Engineer, Orca and David Mark, Director of Platform Engineering, Orca
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11:15
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11:30
LAB-1: Building a permissions management tool for customer production buckets.
In this lab, you will undertake the role of a platform engineer. Your objective will be to construct a robust tool that facilitates the management of developer permissions to customer production buckets. These buckets contain confidential data, thus requiring a high level of security.
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12:15
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12:30
Build your cloud observatory.
This session aims to showcase the utilization of native cloud functionalities for enhancing environmental awareness and reducing debugging duration.
Level - Knowledgeable
Speaker - Sveta Morag, Cloud Solutions Architect, Google Cloud
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13:15
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13:30
LAB-2: App design for observability.
In this lab, attendees will learn how to enhance application and environment observability using custom metrics, monitoring alerts, and other pertinent features.
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14:15
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14:30
Maximizing efficiency and minimizing costs in serverless platform engineering.
In this session, we will explore strategies for optimizing serverless platform engineering costs while maximizing operational efficiency. We will delve into key cost drivers of serverless platforms, identify common challenges and pitfalls, and provide actionable recommendations for reducing waste and achieving cost-effective scalability. By the end of the session, attendees will have a solid understanding of how to leverage serverless architectures for optimal cost savings and performance.
Level - Knowledgeable
Speaker - Dani Kaganovitch, Customer Engineer, Google Cloud
Track 2: Data-driven innovation
Data and data analytics are the core building blocks of innovation. To make the most of your data, it is crucial to have state of the art data engineering, data pipelines, and data analytics in place.
Join us for an in-depth session about how to bring data-driven innovation to your company, streaming, cost efficient data pipelines, scaling with minimum effort, how to create data lakes to serve all, and many more technical and business use cases.
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08:45
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09:30
What's new with BigQuery.
BigQuery is Google’s open data platform. It enables organizations to gain value from data in a variety of formats and structures, at scale,. In this session you will learn about how BigQuery can transform the way in which you gain insights while being cost effective, allowing you to pay only for what you use without thinking about provisioning, BigQuery Autoscaling will enable customers to control and cut their budget while gaining more from their data.
Level - Knowledgeable
Speakers - Ariel Jassan, Customer Engineer and Dori Rabin, Customer Engineer, Google Cloud
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10:15
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10:30
Streaming analytics -generating real value from real time.
Businesses have to anticipate and act on opportunities faster than ever before. This is while the data and events needed for analysis are increasing in velocity, volume, and type. Companies that are able to quickly identify and capitalize on opportunities’ patterns within this changing landscape, have a strategic advantage. In this session you will learn what is new in the streaming analytics landscape in Google Cloud, what are the options and solutions Google Cloud offers, from open source to fully managed technologies.
Level - Knowledgeable
Speakers - Kfir Naftali and Dori Rabin, Customer Engineer, Google Cloud
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11:15
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11:30
Transformative databases with Google Cloud: build better applications faster.
Applications are getting faster and smarter, each application creates more velocity, more complex computations and demands minimum latency. In this session you will learn about GCP modern Databases that allow you to serve those applications with best cost efficiency and most importantly, scalability and reliability.
Level - Knowledgeable
Speaker - Moshe Youdkovich, Customer Engineer, Google Cloud
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12:15
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12:30
Google Cloud well-architected data security at scale.
The rapid growth of cloud-based data analytics has increased the need for effective security measures to protect sensitive data and prevent unauthorized access. Google Cloud offers a range of security features, including segmentation, role-based access control, data classification, data catalog and more. This session will cover the security capabilities and best practices of Google Cloud for securing data.
Level - Knowledgeable
Speaker - Amit Einav, Customer Engineer, Manager, Google Cloud
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13:15
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13:30
Google Cloud BI - unlock the power of BI to all.
In Data we trust, Learn how GCP Cloud BI existing tools and new and exciting features can bring together a complete, unified BI platform that will Reach all users from all sources and formats with modeled and trusted data.
Level - Knowledgeable
Speaker - Michael Gadaev, Customer Engineer, Google Cloud
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14:15
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14:30
Data Lake on Google Cloud - managed and easy to use raw data to unlimited insights at any scale, any format.
Data volume, velocity & variety continues to grow at a rapid pace while also becoming increasingly distributed across storage systems, clouds, regions. Combine this with the fact that the same data is serving more users & use cases than ever before and those Use cases require data, agnostic of where it is stored. This results in movement and management of data pipelines, increasing cost and time to insight. Learn how new features and GCP data tools help to expand your analytics to structured and unstructured data stored on object stores in a secure, governed & performant manner.
Level - Knowledgeable
Speaker - Liat Sabag, Customer Engineer, Google Cloud
Track 3: Machine Learning & AI
Google has long been a pioneer in Machine learning through its various research projects and Deepmind. From Tensorflow to Transformers and LaMDa to Bard we've made it our mission to democritize AI. Join us as we go in depth on all of the latest tips, tricks and innovations that Vertex AI, our end-to-end ML platform, has to offer.
Learn how to maximize value by serving a Generative AI model using Pytorch or join us in our step by step fraud detection showcase. data science/ML practitioners as well as everyone excited about ML/AI are invited!
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08:45
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09:30
Accelerate generative AI with pytorch and GPUs in Google Cloud.
Google is a pioneer when it comes to open source. We create and support many open source projects actively. Pytorch is one of the fastest growing ML frameworks in the community. Vertex AI is a fully-managed ML platform that provides all the tools in order to train, scale and deploy Pytorch models. In this hands-on session you will learn about these tools including Vertex Workbench, Pipelines, Pytorch deep-learning containers and about how easily you can use GPUs/TPUs for accelerated training and serving.
Level - Knowledgeable
Speaker - Tomer Glottman, Machine Learning Solution Engineer, Google Cloud
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10:15
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10:30
Fraud-finder end-to-end workflow on stage.
One of the key strengths of Vertex AI is the closed integration between the data and ML services in order to turn raw data into ML production grade at scale. In this hands-on session we will demonstrate an end-to-end real-time fraud detector use-case example, explore its architecture and showcase the 'game-changer' effect of integrating together BQML,Model Registry, Feature Store, Vertex Endpoints, Vertex Pipelines and Vertex Model Monitoring.
Level - Knowledgeable
Speaker - Eilon Bar, ML Customer Engineer, Google Cloud
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11:15
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11:30
LLMs and generative technology at Google.
In very few years, large generative models have become the engine behind a revolution in processing and creating text, images and other data types. Google is pioneering research in this field via its projects at Google Research and Deepmind. In this session we will present Google's progress in LLM and generative technology, such as The Transformer, T5, PaLM, ViT, Muse, FLAN, and others. Through them, we will provide a high level overview of LLM architecture, pre-training, and fine-tuning.
Level - Knowledgeable
Speaker - Dr. Idan Szpektor, Senior Staff Research Scientist, Google
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12:15
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12:30
Hear from Lightricks, Tabnine and Triple Whale how they leverage Google Cloud AI.
Many start-ups and enterprises choose Google Cloud AI in order to bring sophisticated ML products to market. In this session Lightricks, Tabnine and Triple Whale will present their success stories. We will close this session with a short panel discussion including taking live questions from the audience.
Level - Knowledgeable
Speakers - Eran Yahav,
[email protected] & CTO, Tabnine,
Shmuel Leibeskind, Applied AI Researcher, Triple Whale,
Yoav HaCohen, PhD, Generative AI Research Team Lead, Lightricks
Panel Moderator - Eilon Bar, ML Customer Engineer, Google Cloud.
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13:15
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13:30
Advanced MLOps tools in Vertex AI.
Vertex AI aims to be the place for sophisticated ML practitioners. In this hands-on session we will overview and demonstrate advanced state-of-the-art capabilities of Vertex AI such as scheduling batch pipelines, custom predictions routines, model co-hosting on the same VM, model evaluation, model monitoring and tabular workflows.
Level - Knowledgeable
Speaker - Chen Blecher, Customer Engineer, Google Cloud
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14:15
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14:30
Lean architectures for AI driven search on GCP.
TensorOps assists customers in implementing ML based solutions on GCP. While Search Relevance is undergoing tremendous transformation these days thanks to advances in LLM, companies require hybrid search solutions that incorporate traditional ML and cutting edge AI. This talk will demonstrate the versatility of Google Cloud as a platform to support the development and hosting of these systems.
Level - Knowledgeable
Speaker - Gad Benram, Google Developer Expert of ML and Founder of TensorOps
Track 4: Infrastructure and operations
The Infrastructure and Operations track at this event offers a wealth of knowledge and hands-on experience with the latest advancements in managing and optimizing infrastructure on Google Cloud. Attendees will delve into a range of topics, from securing web applications to maximizing performance and efficiency, and advance their skills with innovative tools and services. With a focus on hands-on learning and expert insights.
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08:45
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09:30
GKE capabilities you might have missed.
Explore underutilized but powerful features of Google Kubernetes Engine (GKE), including advanced customization options, scalability tools, and cost optimization techniques. Attendees will learn how to use these features to enhance their GKE deployments for improved performance, scalability, and efficiency. Real-world examples and best practices will be discussed.
Level - Knowledgeable
Speaker - Amir Marouani, Customer Engineer, Google Cloud
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10:15
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10:30
Scaling monitoring capabilities with Google Cloud managed prometheus.
This presentation will explain how Google Cloud Managed Prometheus simplifies and scales monitoring capabilities. It eliminates the complexity of managing open-source Prometheus setups and other complex monitoring architectures, offering improved efficiency, reliability, and scalability. With a single system for all monitoring needs, automatic scaling, and reduced operational overhead, you can gain more visibility into their systems and take action to improve system performance.
Level - Knowledgeable
Speaker - Dani Kaganovitch, Customer Engineer, Google
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11:15
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11:30
Securing web applications on Google Cloud.
The rapid growth of cloud-based applications has increased the need for effective security measures to protect sensitive data and prevent unauthorized access. Google Cloud offers a range of security features, including network segmentation, role-based access control, and secure image repositories. This session will cover the security capabilities and best practices of Google Cloud for securing web applications running on these platforms.
Level - Knowledgeable
Speaker - Liad Dayan, Customer Engineer, Google Cloud
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12:15
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12:30
Advances in Google Cloud Load Balancing suite.
Explore the latest advances in Google Cloud Load Balancing suite, designed to provide high-performance, scalable, and secure network load balancing solutions for modern applications. In this session, we will discuss new features and showcase capabilities in a live demo.
Speaker - Ariel Peretz, Strategic Cloud, Google Cloud
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13:15
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13:30
Accelerating global delivery with Google Cloud CDN.
Google Cloud CDN optimizes content delivery by caching it at edge locations around the world. In this session, attendees will learn how to set up and configure Cloud CDN, monitor performance, and make the most of this solution. Real-world use cases and best practices will be covered. Ideal for both new and experienced users, this session will provide valuable insights for leveraging Cloud CDN to improve online presence performance and reliability.
Level - Introduction
Speaker - Nir Oz, Customer Engineer, Google Cloud
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14:15
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14:30
Continuous Integration pipeline using Google Cloud tools.
The session will cover key concepts of CI/CD and how to use GCP tools such as Cloud Build, Artifact Registry, and Cloud Operations to automate the build, test, and deployment of applications. Attendees will also learn how to configure and monitor their CI/CD pipeline for optimal performance.
Level - Knowledgeable
Speaker - Guy Mazouz, Customer Engineer, Google Cloud
