Tag: IT cloud computing

One of the challenges faced by manufacturers who are building a smart factory, is how to securely connect to and ingest data from operational data sources. These include machines and industrial assets connecting into their industrial data platform.

AWS Pipelines are crucial to the oil and gas industry across upstream, midstream, and downstream sectors.

The goal of the AWS Architecture Blog is to highlight best practices and provide architectural guidance. We publish thought leadership pieces that encourage readers to discover other technical documentation such as solutions and managed solutions , other AWS blogs , videos , reference architectures, whitepapers, and guides , training and certification , case studies , and the AWS Architecture Monthly Magazine .

Scaling based on Amazon Simple Queue Service (SQS) is a commonly used design pattern. At AWS Professional Services, we have recently used a variant of this pattern to achieve highly parallel computation for larger customers. In fact, any use case with a tree-like set of entities can use this pattern.

This post was co-authored by Sarah Lean, Senior Content Engineer, Azure In the last couple of blog posts, we followed Tailwind Traders 1 on their cloud journey and how the IT team is looking to adopt Azure as part of their IT strategy.

Organizations across every industry and sector are looking to easily and cost-effectively process vast amounts of data. Amazon EMR offers a way to instantly provision as much or as little capacity as needed to perform data- intensive tasks.

In Part II, we’ll provide technical considerations related to architecture and patterns for resilience in AWS Cloud.

is is the second part in our special series on working with market data in Google Cloud. This post highlights how we leveraged serverless components to build a flexible data ingestion pipeline. Check out the first post on visualizing real-time market data in the cloud .

We are announcing a major release for Oracle WebLogic Server (WLS) on Azure Virtual Machines. The release is jointly developed with the WebLogic team as part of a broad-ranging partnership between Microsoft and Oracle. Software available under the partnership includes Oracle WebLogic, Oracle Linux, and Oracle Database, as well as interoperability between Oracle Cloud Infrastructure (OCI) and Azure.

Imagine you are launching a brand new website selling goods and services. You are expecting a huge amount of traffic due to the seasonality of the product.You would like to test 100K simultaneous connections to the website and make sure it is working properly.

To serve your various application workloads, Google Cloud offers a selection of managed database options: Cloud SQL and Cloud Spanner for relational use cases, Firestore and Firebase for document data, Memorystore for in-memory data management, and Cloud Bigtable , a wide-column, NoSQL key-value database.

If you have VMware workloads and you want to modernize your application to take advantage of cloud services to increase agility and reduce total cost of ownership then Google Cloud VMware Engine is the service for you! It is a managed VMware service with bare metal infrastructure that runs the VMware software stack on Google Cloud—fully dedicated and physically isolated from other customers.

This post was co-authored by Sarah Lean, Senior Content Engineer, Azure Tailwind Traders 1 is a retail company that is looking to adopt Azure as part of its IT strategy. The IT team is familiar with deploying infrastructure on-premises and is now researching what they need to do in order to run their workloads on Azure.

Location-based intelligence is vital in today’s applications, enabling capabilities ranging from fleet tracking to hyperlocal marketing. However, developers face significant barriers when integrating location data into their applications.