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In this session, you will learn how to designed clickstream analytics application and how you can use the same architecture to build your own and be ready to handle the changing world of clickstream data. Dive into how to perform advanced user retention and cohort analysis to make near–real time product and marketing decisions. Learn how to build infrastructure that is fast, easy, and cost-effective with AWS resources such as Amazon Kinesis, Spark on Amazon EMR, Amazon S3, Amazon Redshift, and Amazon Elasticsearch.

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Financial Services Industry (FSI) globally is actively looking for ways to adopt cloud to quicken go-to-market speeds, automate and strengthen security, increase stakeholder value, improve customer experiences, and lower costs. Regulators are changing gears and are encouraging the industry to adopt cloud to build efficiencies, and scale and move faster. We understand that most of the financial services companies are in the ‘How to’ phase of cloud adoption. Financial Services customers like Capital One, FINRA, Nasdaq, and Pacific Life are moving critical workloads to AWS and realizing efficiencies in areas such as high performance computing, data analytics, digital transformation, security and compliance, and disaster recovery. To inspire you like we inspired these major FSI players, we are hosting the AWS Financial Services Cloud Symposium again in Hong Kong. Subsequent to the success from last year, you will continue to gain insights on the latest technology trends, best practices and use cases of cloud computing and learn how AWS is inceasingly helping financial institutions realize the benefits. Through discussions led by customers, partners, industry leaders and AWS subject matter experts, we'll explore innovative techniques and solutions to increase agility and operational excellence in your organization. No matter who you are, from business stakeholders to technology drivers, rest assured you will learn something new, specific and useful. Speaker: Zane Moi, Head of Business Development, Hong Kong & Taiwan, AWS

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In this session, we cover the strategic and technical innovations that have driven T-Mobile’s digital transformation journey, with a focus on AWS serverless (AWS Lambda) and container technologies (Amazon ECS, Amazon EKS). Learn about T-Mobile’s “Shift-Right” strategy that anchors most new development with serverless and containers, which led to the build-out of their open-sourced, Jazz Function-as-a-Service platform. We review workload characteristics that play to the strengths of containers versus Lambda and vice versa, and hear how T-Mobile achieved CPNI compliance requirements while running AWS workloads. We also dive into the analytics data-lake that combines Hadoop on premises, Intel Gluster technology to support ML, along with Amazon S3, Aurora PostGres, Amazon Redshift, and Amazon EMR.

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Cloud technology has made enterprise-wide digital transformation an achievable reality, even for the largest financial services companies. Organizations can now rearchitect operating models to improve the way they interact with customers, regulators, employees and service partners. It is also opening avenues to experiment with innovations like IoT, blockchain and machine learning, among others. However, a common misperception is blocking adoption for many organizations: on-premise IT infrastructure is more secure than the cloud. The reality is financial services organizations migrating to the cloud have access to some of the most innovative security technologies on the market today—systems so robust that they would cost millions of dollars to build in-house. In this session, you will hear an overview of how cloud-enabled programs can enhance your organization’s security postures and make you more secure than your on-premise status.

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Today Financial Services Industry organisations are using AWS to both develop new sources of customer value as well as reinventing their core. In this session we will provide insights into the successful adoption patterns and trends that have emerged. We will also discuss how organisations in the FSI space have successfully navigated the people and processes challenges that initially inhibited enterprise wide adoption. Finally, through our experience in helping enterprises navigate this change, AWS has developed the Cloud Adoption Framework (CAF) to assist with planning, creating, managing and supporting the shift. We will spend time taking you through this framework to assess where you are on your Cloud journey and tangible takeaways that will help you accelerate.

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Cloud and Big Data technologies are being one of the major core components for building modern web applications and distributed systems. Initially utilized by big tech giants like Microsoft, Facebook, Google, these technologies are now being a vital part of enterprise organizations, like bank, insurance, and telecommunication companies. Microsoft MVP Ashraf Alam, along with his peer engineers from different areas of software development industries would like to share their experience gained through building large scale systems.

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Amazon Web Services (AWS) and its more than 165 cloud computing services are well-positioned to support the scalable architectures required to process the volume of data from space and satellite downlinks. AWS helps provide researchers with unprecedented compute power and storage to enhance mission operations and science data processing. Learn how AWS has developed a focused practice to support customers and partners that can benefit within the space industry. Speakers: Rob Ruyak, Space and Satellite Solutions, AWS and Mani Thiru, Business Development New Industries, AWS

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AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry. Speakers: Myles Hosford, Security Solutions Architect APAC, AWS Anthony Hodge, Head, Cloud Engineering and Delivery, Standard Chartered Bank

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This presentation covers the following topics: What is logging? The purpose of logging: Debugging The purpose of logging: Security The purpose of logging: Stats & analytics Traditional logging Traditional logging: Advantages Traditional logging: Disadvantages The solution: Large-scale logging Large-scale logging: Core principles Large-scale logging: Solution types Large-scale logging: Cloud vs on-prem Large-scale logging: Operational complexity Large-scale logging: Security Large-scale logging: Costs Large-scale logging: On-prem comparison - Elasticsearch - Grafana Loki - VictoriaLogs On-prem comparison: Setup and operation On-prem comparison: Costs On-prem comparison: Full-text search support On-prem comparison: How to efficiently query 100TB of logs? On-prem comparison: Integration with CLI tools VictoriaLogs for large-scale logging VictoriaLogs demo instance - Ingestion rate: 3600 messages / minute - The number of log messages: 1.1 billion - Uncompressed log messages’ size: 1.5TB - Compressed log messages’ size: 23GB - Compression ratio: 47x - Memory usage: 150MB VictoriaLogs CLI integration demo - Which errors have occurred in all the apps during the last hour? - How many errors have occurred during the last hour? - Which apps generated the most of errors during the last hour? - The number of per-minute errors for the last 10 minutes - Status codes for the last hour - Non-200 status codes for the last week - Top client IPs for the last 4 weeks with 404 and 500 response status codes - Per-month stats for the given IP across all the logs Large-scale logging solution MUST provide excellent CLI integration VictoriaLogs: (temporary) drawbacks VictoriaLogs: Recap - Easy to setup and operate - The lowest RAM usage and disk space usage (up to 30x less than Elasticsearch and Grafana Loki) - Fast full-text search - Excellent integration with traditional command-line tools for log analysis - Accepts logs from popular log shippers (Filebeat, Fluentbit, Logstash, Vector, Promtail, Grafana Agent) - Open source and free to use!

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