This video provides an overview of Google Cloud Spanner, Google mission-critical, relational and scalable application database, which is now publicly available as a managed service on Google Cloud. You’ll learn how Cloud Spanner evolved, how Google uses it internally, and how you can use it for your next project.
Data governance and data locality play a huge role in deciding where to deploy your databases. And with the combination of Cloud Foundry and CumuLogic inside the firewall, you can empower your application teams with the agility and operational maintainability to meet enterprise requirements.
This video provides a retrospective on running MongoDB on Windows Azure for the past 2 years.
MongoDB is an open source NoSQL database. This article from Lynn Langit introduces both MongoDB and Windows Azure, and then explore the technical details and benefits of deploying MongoDB to the Microsoft cloud.
MetricsHub is a monitoring and scalability service for public clouds, allowing companies to continuously gather data from their systems and auto-scale their deployments to optimize service costs. Taking advantage of Cassandra rapid ingestion rates, reliable replication model, and easiness of deployment, Metrics Hub can handle billions of datapoints per day. …
This presentation covers the challenges and solutions Adobe faced when adopting Neo4J as their graph solution, moving it out of the data center and into the cloud, how Neo Technology worked with Adobe to overcome hurdles and evolve the product, and what putting a truly global cluster into production entailed.
Netflix used to be a traditional Datacenter based architecture using a few large Oracle database backends. Now it is one of the largest cloud based architectures, with master copies of all data living in Cassandra.
How does one build a “modern” application? What are the key design patterns ranging from adaptive and insight-driven applications to ‘Social’-enabled & aware application design, to Big Data: why HPC is coming to you… Architecture patterns and practices ranging from Enterprise Architecture to design and delivery.
There are decades of accumulated knowledge in optimizing relational databases like PostgreSQL, and so much of it is either unhelpful or downright counterproductive in modern, resource-contentious, cloud-based environments. Disks aren’t disks any more, RAM might not be RAM, and latency has become more than intermittent.
Buck Woody discusses in this article data ingress and storage access in Cloud Computing reference architecture. He explains how to create a centralized, off-premises (cloud-based) data store that provides flexibility, security, consistency, and guards against vendor lock-in. Buck is Senior Technical Specialist on Windows Azure at Microsoft and the examples …