[db tech showcase Tokyo 2018] Azure Cosmos DB Technical Deep Dive ~グローバル分散型マル...Naoki (Neo) SATO
[db tech showcase Tokyo 2018] Azure Cosmos DB Technical Deep Dive ~グローバル分散型マルチ モデル データベース サービスを使いこなそう~
https://satonaoki.wordpress.com/2018/09/21/dbts2018-azure-cosmos-db/
db tech showcase Tokyo 2018 (2018/09/19-21)
https://www.db-tech-showcase.com/dbts/tokyo
[db tech showcase Tokyo 2018] Azure Cosmos DB Technical Deep Dive ~グローバル分散型マル...Naoki (Neo) SATO
[db tech showcase Tokyo 2018] Azure Cosmos DB Technical Deep Dive ~グローバル分散型マルチ モデル データベース サービスを使いこなそう~
https://satonaoki.wordpress.com/2018/09/21/dbts2018-azure-cosmos-db/
db tech showcase Tokyo 2018 (2018/09/19-21)
https://www.db-tech-showcase.com/dbts/tokyo
2019 年 4 月の Google Cloud Next '19 サンフランシスコで Cloud Run が発表されてから数カ月が経ち、検討フェーズから本番環境での利用も視野に入れている方に向けて、この放送では Cloud Run を使ったサーバーレス アプリケーションを開発するための実践的な Tips を解説します。また他のサーバーレス サービスとの連携や使い分けについても説明します。
2019 年 4 月の Google Cloud Next '19 サンフランシスコで Cloud Run が発表されてから数カ月が経ち、検討フェーズから本番環境での利用も視野に入れている方に向けて、この放送では Cloud Run を使ったサーバーレス アプリケーションを開発するための実践的な Tips を解説します。また他のサーバーレス サービスとの連携や使い分けについても説明します。
Cloud Spin is a demo that a team of Googlers developed to showcase the Google Cloud Platform. The demo consists of 19 Android mobile phones placed in a half-circle to create a frozen-in-time 180 degree animated GIF. See examples at @googlecloudspin on Twitter! Googler Bret McGowen walks through how the team (himself, Francesc Campoy, Kathy Kam, Ray Tsang) built the demo using a wide range of technologies: cloud, Android, Firebase, JavaScript, and more!
Delegating Data Management to the Cloud: A Case Study in a Telecommunications...Giuseppe Procaccianti
Qing Gu, Patricia Lago and Simone Potenza (VU University, The Netherlands)
Presented by: Giuseppe Procaccianti
In 2013 IEEE 7th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA '13)
Solving enterprise challenges through scale out storage & big compute finalAvere Systems
Google Cloud Platform, Avere Systems, and Cycle Computing experts will share best practices for advancing solutions to big challenges faced by enterprises with growing compute and storage needs. In this “best practices” webinar, you’ll hear how these companies are working to improve results that drive businesses forward through scalability, performance, and ease of management.
The slides were from a webinar presented January 24, 2017. The audience learned:
- How enterprises are using Google Cloud Platform to gain compute and storage capacity on-demand
- Best practices for efficient use of cloud compute and storage resources
- Overcoming the need for file systems within a hybrid cloud environment
- Understand how to eliminate latency between cloud and data center architectures
- Learn how to best manage simulation, analytics, and big data workloads in dynamic environments
- Look at market dynamics drawing companies to new storage models over the next several years
Presenters communicated a foundation to build infrastructure to support ongoing demand growth.
SaltConf14 - Eric johnson, Google - Orchestrating Google Compute Engine with ...SaltStack
Google is making the power of its datacenter, network, and technology innovations available to the world through its Cloud services. This presentation will provide an overview of the Google Cloud Platform and a deeper dive on Google Compute Engine. Google recently made an open source contribution to SaltStack and now you can now use Salt Cloud to manage your Compute Engine resources (IaaS virtual machine services). Come find out more about Google's Cloud Platform and how you can leverage Google scale with SaltStack.
Plan your Log Platform at Google Cloud PlatformSimon Su
The document discusses planning a log platform on Google Cloud Platform. It describes using log collectors like Fluentd to collect and transfer logs to Google's unlimited log storage. It outlines various input methods for collecting logs including tail, syslog, HTTP, and secure forwarding. Logs can then be stored in BigQuery for querying or Cloud Logging and exported to BigQuery, Cloud Storage, or Pub/Sub for presentation and analysis.
This document discusses auto-scaling in the cloud and provides a case study on MediaHub, a media sharing application. It describes MediaHub's architecture, which uses various AWS services like EC2, RDS, S3, CloudFront, and Elastic Beanstalk. It then provides best practices for developing applications in the cloud, such as automating infrastructure, controlling permissions, automating configuration, and designing for redundancy and parallelism. The document concludes that the cloud is not suitable for all applications and that applications must be designed for cloud-scale to reduce costs.
Getting Started with Google's Infrastructure is summarized as follows:
1. Google Cloud Platform provides infrastructure services including virtual machines, networking, and storage hosted on Google's global network of data centers.
2. Google Compute Engine is an infrastructure as a service offering that allows users to launch and manage virtual machine instances.
3. The document provides an overview of Google Compute Engine including machine types, regions, persistent disks, load balancing, and pricing models.
A Modern Finance Case Study – Cloud or On-PremiseProphix Software
This document summarizes a webinar discussing the considerations for choosing between cloud-based and on-premises financial planning and analysis (FP&A) solutions. It outlines the key factors to evaluate such as functionality, vendor capabilities, IT strategy, costs, security, and resources. Case studies from Aeglea Biotherapeutics and insights from a survey of FP&A professionals indicate that while the cloud offers benefits like accessibility and automatic updates, on-premises may be better where security is a major concern or IT resources are readily available. Ultimately, the choice depends on an organization's unique business needs and priorities.
The eBook is a comprehensive checklist to get started with planning your Enterprise Cloud Strategy. A closer look at the evolution of cloud computing and its future prospects. Understand exactly how cloud can revolutionize your business.
An introduction to the future of cloud in terms of DBaaS, Big Data Analytics & Machine Learning.
Deploying SaaS Application on the Cloud - Case StudyNati Shalom
This presentation provides a case study on how to overcome some of the challenges involved in deploying a SaaS application on the cloud using GigaSpaces. In this specific case were referring to a risk analysis application (Primatics) and describe how we've dealt with multi tenancy, high availability, scalability and how we were able to optimize the architecture for reduced cost.
The presentation was given during the cloud connect 2010 conference.
Deploying NGINX Plus & Kubernetes on Google Cloud PlatformNGINX, Inc.
Watch webinar on-demand: www.nginx.com/resources/webinars/google-cloud-platform-nginx-kubernetes
Moving to the cloud and transitioning to containerized deployments are top of mind for many enterprises as they build applications to meet quickly increasing user demands. The cloud offers the flexibility, scalability, reliability, and security that enterprise applications demand, and by moving services, and all their dependencies, to containers, developers and engineers win the flexibility and freedom to easily scale and secure their applications.
Over the past few years a number of tools have emerged to make it easier than ever to run applications in the cloud and manage rapidly growing numbers of containers. Kubernetes and NGINX are two of the leading tools used in the cloud, and they are commonly used together to quickly and easily deploy and scale applications.
Join us in this webinar co-hosted by Sandeep Dinesh, Developer Advocate, of Google’s Cloud Platform team, and Floyd Smith of NGINX to learn:
How to use NGINX for internal and external load balancing of applications on Google Compute Engine.
Benefits of using container orchestration systems like Kubernetes.
How to load balance Kubernetes services with NGINX Plus on Google Container Engine.
Outsourcing Services: What is right for your organisationVincent Kwon
The document discusses different outsourcing models and their evolution over time. Traditional outsourcing from the 1980s typically involved moving entire operations functions to an external provider. Selective/project outsourcing from the 1990s focused on specific functions or projects. Transformational outsourcing, including business process outsourcing, aims to define a new business operating model and processes. Each model presents different challenges around scope, integration, acceptance criteria, service levels, and knowledge transfer.
Continuous Integration & Continuous Delivery with GCPKAI CHU CHUNG
quick introduction to CI & CD with Google cloud platform
- App Engine Development
- Devops: CI & CD (Docker, gitlab, GCP)
- Tips & Study information
repo: https://gitlab.com/cage1016/gae-flask
Use Cases from Batch to Streaming, MapReduce to Spark, Mainframe to Cloud: To...Precisely
This document discusses how Syncsort helps companies access and integrate data from various sources to power analytics. It provides examples of how Syncsort has helped companies in insurance, media, and hotels easily onboard and integrate both historical and streaming data from multiple sources like mainframes, databases, and IoT devices. This allows for faster insights, increased productivity, cost savings, and helps future proof applications.
Cloud Presentation and OpenStack case studies -- Harvard UniversityBarton George
The presentation walks through the forces affecting IT in higher education today, the value of a cloud brokerage model and case studies of OpenStack-based clouds in higher education. Presented at the Harvard University IT summit.
Slides for the presentation at Elastic {ON} Tour Tokyo 2017
https://www.elastic.co/elasticon/tour/2017/tokyo
Session Video: https://www.elastic.co/jp/elasticon/tour/2017/tokyo/microsoft