Grails in the Cloud (2013)

This document provides an overview of Azure Virtual Machines including: - Launching Windows and Linux VMs in minutes and scaling from 1 to 1000s of instances with per-minute billing. - A gallery of prebuilt images for workloads like SQL Server, SharePoint, and SAP HANA. - VM sizes that range from shared core/768MB RAM to 16 cores/112GB RAM. - Features like extensions, disks, availability sets, load balancing, and cross-premises connectivity. - Disaster recovery options like replication to secondary sites and orchestrated failover to Azure.

The document summarizes a case study of migrating an Oracle application from on-premise to AWS. It describes the existing on-premise architecture including hardware, software, network/security configuration, and disaster recovery requirements. It then discusses challenges of meeting the recovery time and point objectives on AWS. The first proposed solution is outlined along with its problems. Finally, the document proposes an improved solution on AWS and estimates it can save 70% on infrastructure costs.

This document provides a summary of updates to various Azure services in September: - API Management received several updates including improved logging access, policy enhancements, and removal of developer tier restrictions. - DevTest Labs will now notify users before auto-shutdown occurs through webhooks. - Service Fabric updates include improved metrics and dependency injection for actors. - Azure AD Application Proxy, Event Hubs, Batch, SQL Advisor, PowerShell, and Operations Management Suite all received updates to improve functionality and management capabilities.

Cloud services provide scalability, availability, and reliability so that applications can focus on their code. A cloud service uses public endpoints for external access, internal endpoints for private communication between roles, and instance input endpoints for individual instances. Roles in a cloud service can communicate through HTTP and provide web and worker functionality. Designing for the cloud requires embracing errors, and ensuring availability, reliability, and scalability through redundancy, reliability features in Azure like auto-recovery, and handling transient errors.

Microsoft Azure August 2016 Update. In this presentation we track all major new developments in Microsoft Azure.

We just finished a 7 week project at RightScale to migrate 48 services and 650+ cloud instances to Docker. As a result we’ve been able to accelerate our development processes and cut our cloud costs (a lot). Here we share lessons learned about our experience migrating to Docker and introduce our new Container Manager we added to the RightScale platform to help manage containerized environments.

The Marketplace data team at Uber has built a scalable complex event processing platform to solve many challenging real-time data needs for various Uber products. This platform has been in production for more than a year and supports over 100 real-time data use cases with a team of 3. In this talk, we will share the detail of the design and our experience, and how we employ Siddhi, Kafka and Samza at scale.

Clouds are made of on-demand, scalable computing resources that are accessed as a service via the internet. There are different cloud deployment models (public, private, hybrid) and service models (IaaS, PaaS, SaaS). Infrastructure as a service (IaaS) clouds provide fundamental computing resources like storage, networking and virtual machines, while platform as a service (PaaS) clouds provide additional services like databases, messaging queues and development tools. Choosing between IaaS and PaaS involves considering factors like lock-in to the cloud vendor, control over the infrastructure, and application requirements.

Akshay Mathur gives a presentation on techniques for scaling applications with security and visibility in the cloud. He discusses 8 growth phases applications typically go through including load balancing, gaining insights, content optimization, offloading services, content switching, preventing bot traffic and DDoS attacks, continuous delivery, and the need for a unified cloud application front end solution to manage these phases. He introduces Appcito CAFE as a service that provides capabilities across availability, performance, security and DevOps to simplify application scaling in the cloud.

See webinar recording of this presentation at https://resource.alibabacloud.com/webinar/detail.htm?webinarId=29 Setting up an e-commerce website with the right level of scalability, global reach, and performance to evolve with your own business growth can be a difficult challenge for most SMEs. In this webinar, you will learn how to quickly deploy a global, scalable, and highly available e-commerce website on the cloud with the popular e-commerce tool Magento. This presentation will also give you a hands-on understanding of Alibaba Cloud SAS (Simple Application Server) service to conveniently deploy an e-commerce website and how to configure Magento to fit your business needs. About Simple Application Server Simple Application Server optimizes the user experience of setting up a simple application by making it easy for entry-level users to use cloud computing products. It provides one-click application deployment and supports domain name resolution, website publishing, security, and application management.

A technical discussion on the various options for providing SMB based File Services within Azure. Many lift and shift operations into Azure require some sort of file share and the lack of shared storage in Azure can make providing resilient file services an issue. This presentation will cover what options are available and they benefits and problems. This will include Azure Files, Storage Spaces Direct, DFSR and more.

This document discusses SQL Azure and Windows Azure Storage. SQL Azure allows storing databases in the cloud with high availability and load balancing. Windows Azure Storage provides durable cloud storage for blobs, disks, tables and queues. It replicates data across multiple datacenters for high availability and scales massively to store large amounts of unstructured and structured data.

Session together with Pim at a RubiX event. Regarding an introduction to serverless architecture (FaaS) concluding with a demo using the AWS stack (Lambda, IoT, API Gateway, DynamoDB) with a raspberryPI and AngularJS2 front-end.

Understanding the differences between a load balancer and software features like Microsoft IIS's ARR and a Web Application Proxy (WAP) can be confusing. We compare the full feature set of a Load Balancer appliance / ADC (Application Delivery Controller) versus Application Request Routing, especially for High Availability

This document provides an overview of Stacktician, which is a tool that allows users to deploy and manage infrastructure on CloudStack using templates similar to AWS CloudFormation. It discusses the history and architecture of Stacktician, including its two main components - StackMate for executing templates and Stacktician for the web interface. It covers the current state including improvements made for error handling, rollbacks, metadata handling and scaling. Finally, it discusses some planned future enhancements such as better plugin support, nested stacks, and stack updates.

The world of integration is changing very quickly and we have the opportunity to use a lot of different technologies. There are many ways to solve the same problem and new technologies being introduced all of the time. Azure is now full of very interesting features and the real challenge is understanding how to use and combine all of these together in an effective way to create a good solution. In this session Nino will talk about his experiences and thoughts from the last year around areas such as BizTalk, Hybrid Integration, Microservices, Event Hubs, Stream Analytics and more.

Coherence provides an in-memory data grid that offers high performance, scalability, and availability. It uses a peer-to-peer architecture with automatic cluster management. Coherence provides ACID transactions across the distributed grid. Future enhancements will simplify configuration and management, integrate with WebLogic, and add capabilities like cache persistence and federated caching across data centers.

Serverless architecture is the next big shift in computing - completely abstracting the underlying infrastructure and focusing 100% on the business logic. Today we can create applications directly in our browser and leave the decision how they are hosted and scaled to the cloud provider. Moreover, this approach give us incredible control over the granularity of our applications since most of the time we are dealing with single function at a time. In this presentation we will cover: • Introduce Serverless Architectures • Talk about the advantages of Serverless Architectures • Discuss in details in event-driven computing • Cover common Serverless approaches • See practical applications with Azure Functions • Compare AWS Lambda and Azure Functions • Talk about open source alternatives • Explore the relation between Microservices and Serverless Architectures