Where is my container-Service Discovery
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1. The document discusses service discovery for containerized applications running on AWS, describing why it is important and current common patterns. 2. It outlines that DNS-based service discovery using Route 53 allows container tasks running on ECS to automatically register service details, which are then discoverable via DNS queries. 3. The agenda includes running containers on AWS, why service discovery is needed given the dynamic nature of containers, current approaches like load balancers and key-value stores, and a demo of DNS-based discovery using ECS and Route 53.
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From your First Migration to Mass migrations.
In this session, you will learn the best practices in identifying, assessing, selecting and migrating your first workload to AWS. The next logical step is a large scale “All in” migration approach to enable enterprises become truly DevOps and Cloud First organization. We will present the building blocks and programs for such large migrations with the AWS Migration Assessment Readiness and Migration Acceleration Program.
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AWS offers a comprehensive portfolio of compute services allowing customers to develop, deploy, run, and scale applications and workloads in the world’s most powerful, secure and innovative compute cloud. As customer implements AWS @Scale, it is essential to understand how to leverage the Big Three compute patterns – Virtual Server Hosting (Amazon EC2), Micro services (ECS/EKS) and Serverless computing (AWS Lambda) in ways that accelerate your Cloud adoption. This session will cover how Amazon EC2, Elastic Container Service(ECS), managed Amazon Kubernetes (EKS) and AWS Lambda are important additions to enterprises adopt AWS @scale. Join our discussion as we focus on patterns for usage and how to secure these respective workloads as you adopt these compute platforms in the enterprise environment.
Getting Started with AWS Lambda and the Serverless Cloud by Jim Tran, Princip...
1) The document provides an overview of AWS Lambda and serverless computing on AWS, including how AWS Lambda works, common use cases, and best practices.
2) It explains that AWS Lambda allows users to run code in response to events without provisioning or managing servers, and only pays for the compute time used.
3) The document demonstrates sample serverless architectures using AWS Lambda along with other AWS services, and provides guidance on best practices like using versions and aliases, function networking, authorization, and monitoring.
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Serverless computing allows developers to build and run applications without having to manage infrastructure. AWS Lambda and other serverless AWS services allow developers to focus on coding instead of provisioning servers. Serverless architectures can improve scalability, speed, and costs for media and entertainment workflows like video on demand. The document discusses how serverless services like AWS Lambda, Step Functions, and CloudFront can be used to build scalable, cost-effective OTT video workflows.
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Title: What it takes to build system for 1 M web sockets
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How to Bring Microsoft Apps to AWS - AWS Online Tech Talks
Learning Objectives:
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- Learn best practices to ensure maximum performance and availability for your Microsoft workloads while migrating to the AWS Cloud
- Learn about Microsoft on AWS Licensing Options
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AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. In this session, we dive deep into AWS Lambda to learn about capabilities, features and benefits.
Learning Objectives:
• Dive deep into AWS Lambda
• Learn about the capabilities, features and benefits of AWS Lambda
• Learn about the different use cases
• Learn how to get started using AWS Lambda
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Everything generates logs. Applications, infrastructure, security ... everything. Keeping track of the flood of log data is a big challenge, yet critical to your ability to understand your systems and troubleshoot (or prevent) issues. In this session, we will use both Amazon CloudWatch and application logs to show you how to build an end-to-end log analytics solution. First, we cover how to configure an Amazon Elaticsearch Service domain and ingest data into it using Amazon Kinesis Firehose, demonstrating how easy it is to transform data with Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data and configure a secure analytics environment. We demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports.
Getting Started with AWS Lambda and the Serverless Cloud
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we’ll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
Breaking the Monolith Road to Containers
Following simple patterns of good application design can allow you to scale your application for your customers easily. This presentation dives into the 12 factor application design and demo how this applies to containers and deployments on Amazon ECS and Fargate. We'll take a look at tooling that can be used to simplify your workflow and help you adopt the principles of the 12 factor application.
Java Developer on AWS 在AWS上開發Java應用
Java 應用程序一直都是企業當中不可或缺的重要平台之一，隨著市場變化與追求更好地應對市場挑戰，將傳統的 Java 應用程序搬遷上雲成了當前重要的話題。在這個主題當中我們將探討在整個 Java Eco-System 的變化，以及有哪些工具可以幫助企業在做應用系統重整與搬遷時，帶來雲端服務便利與整合的好處。
Java-Developer-on-AWS
Java Developer on AWS 在AWS上開發Java應用
Level: 300, 中文演講
講師: Kim Kao, Solution Architect, AWS
Java 應用程序一直都是企業當中不可或缺的重要平台之一，隨著市場變化與追求更好地應對市場挑戰，將傳統的 Java 應用程序搬遷上雲成了當前重要的話題。在這個主題當中我們將探討在整個 Java Eco-System 的變化，以及有哪些工具可以幫助企業在做應用系統重整與搬遷時，帶來雲端服務便利與整合的好處。
聯繫銷售: https://aws.amazon.com/tw/contact-us/
與銷售線上聊天: https://pages.awscloud.com/tw-hkt-sales-chat.html
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Where is my container-Service Discovery
- 1. Where is my container? Service Discovery for containerized applications Marcus Vinicius de Arruda Santos, 07-08-2018 © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
- 2. Agenda • Running Containers on AWS • Why Service Discovery? • Current Patterns • DNS Based service discovery • Demo
- 3. We give you the power to choose. ECS EKS EC2 Fargate EC2 Fargate 1. Choose your orchestration tool. 2. Choose your launch type.
- 4. Background: Why Service Discovery Monolithic Application Traditional Distributed Systems Micro Services
- 5. Why is it non trivial? Auto assigned IP and PortsNumber of Containers and instances Heath and ConnectivityPlacement, scheduling & scaling
- 6. What is Service Discovery “Where is Service X?” Friendly name -> IP + port E.g., app: {10.0.4.5:8080, 10.0.4.6:8080 }
- 7. Current Patterns Load Balancers Key-value store Service Mesh
- 8. Load Balancers Client Server Server Server Request Request LB + Service Registry Register Deregister
- 9. Key Value Store Server Server Server Service Registry Update Start, stop, health change Registrar/ service manager
- 10. DNS Based – Route 53 Client Server Server ServerService Registry Request Register Register Register Query
- 11. AWS Service Discovery ~ aws servicediscovery
- 12. DNS Based – Client Side Discovery ECS updates service registry based on naming convention, task registrations, de-registrations and health Route 53 provides Service Registry Route 53ECS
- 13. Demo Time
- 14. Scan QR Code for More Information