Oracle technologists explain the cloud computing implementation as it relates to database as a service (DBaaS). Cloud computing encompasses the IT infrastructure resources, which include networks, storage, servers, applications, and services. DBaaS is a subset of the overall cloud concept, specifically focused on the last two resources, applications and services.
Program Managers need to continue to seek ways to improve cost, schedules and technical performance. This article provides a summary of industry best practices we have applied successfully that enable program managers to implement processes and practices that can result in the improved cost, schedule and technical performance that the DoD is continuously seeking.
In both the Cloud and Agile programming communities, it seems like everyone is talking about microservices. Other architectural principles like REST have taken the development world by storm, and now microservices are the newest wave to crest. But what are they? And why would a Java™ developer care about them? In this series, I'll answer those questions and explain why you'd want to migrate your applications to microservices (Part 1). I'll delve into data refactoring (Part 2), and lay out a step-by-step method to help you migrate to microservices (Part 3).
Use Docker to code more productively and expand your skills more efficiently. Declutter your development environment, eliminate dependency conflicts, and reduce development and learning time by working with containerized applications.
Using the SDK, you can build solutions for Amazon Simple Storage Service (Amazon S3), Amazon Elastic Compute Cloud (Amazon EC2), Amazon SimpleDB, and more. The AWS SDK for Java includes the AWS Java library, code samples, and reference documentation, but what about information on how to use the Java library? This article addresses some important tips for developing software with the AWS SDK for Java.
One of the greatest challenges here is the integration of existing data and systems into the cloud solution. Without integration spanning between clouds and on-premise systems, processes can only be executed in isolation, leading to cloud-specific silos of isolated solutions. Important information for users is not available across processes and systems. Problems that would have occurred in the company's internal IT are now shifted to the cloud provider. To prevent "legacy clouds" or solutions that are hard to maintain, it is important to manage the entire architecture proactively and, in particular, the integration into the cloud. Even if cloud providers want us to believe otherwise, not every aspect of IT can be outsourced to cloud solutions!
The AWS SDK for Java provides an easy to use, client-side encryption mechanism to help you securely store your application's data in Amazon S3. Since the encryption/decryption is all done client side, your private encryption keys never leave your application.
This article introduces and describes several of the more common foundational cloud architectural models, each exemplifying a common usage and characteristic of contemporary cloud-based environments. The involvement and importance of different combinations of cloud computing mechanisms in relation to these architectures are explored. IT resources can be horizontally scaled via the addition of one or more identical IT resources, and a load balancer that pro-vides runtime logic capable of evenly distributing the workload among the available IT resources. The resulting workload distribution architecture reduces both IT resource over-utilization and under-utilization to an extent dependent upon the sophistication of the load balancing algorithms and runtime logic. A redundant copy of Cloud Service A is implemented on Virtual Server B. The load balancer intercepts cloud service consumer requests and directs them to both Virtual Servers A and B to ensure even workload distribution. This fundamental architectural model can be applied to any IT resource, with workload distribution commonly carried out in support of distributed virtual servers, cloud storage devices, and cloud services. Load balancing systems applied to specific IT resources usually produce specialized variations of this ar-chitecture that incorporate aspects of load balancing
We get frequent questions relating to best practices and patterns for implementing multi-tenant architectures using Windows Azure. This is the first of two columns that will introduce you to some key concepts and principles, as well as provide some guidance on where you can get the hands-on skills to start getting up to speed on some core building blocks.
This article is an overview of what is involved in designing services that use distributed computing techniques. These are the techniques all large web sites use to achieve their size, scale, speed, and reliability.