Tag: HAQM S3

It can be complicated to maintain a robust, scalable, and reliable monitoring system that inputs terabytes of data under heavy traffic. Learn how Thundra has delivered 99.9 percent availability to customers since incorporating AWS services into its product. Thundra’s platform can handle scalability and availability challenges, recover both from partial failures and major outages, and support point-in-time recovery in case of disaster.

While the move to a software-as-a-service (SaaS) model is appealing to many organizations, the time, effort, and investment that’s required to transition to a new multi-tenant architecture can represent a significant hurdle. To address this need for AWS Partners and customers, we have introduced AWS SaaS Boost, an open-source reference environment that provides developers with a low-friction way to transform existing applications into SaaS products.

Systems are growing more complex, cloud applications are growing in adoption, and cloud data lakes are being increasingly deployed. At the same time, organizations need to implement data cataloging solutions to provide data governance, data analytics, or pure metadata management. Informatica Enterprise Data Catalog (EDC) scans and catalogs an enterprise’s data assets, whether hosted on the cloud or stored on-premises.

AWS IoT Core offers a managed cloud service to support trillions of messages from billions of devices, and route messages easily and securely to devices and other AWS services. Learn how to use an AWS CloudFormation template to build the Actility ThingPark X connector to AWS IoT as the first step to connect LoRaWAN-enabled endpoints to AWS IoT Core, and to make use of other cloud services available on AWS.

Zendesk and VoiceFoundry released the HAQM Connect app on the Zendesk Marketplace as part of a broader vision for the intelligent contact center of the future. The HAQM Connect app for Zendesk brings together a wide set of capabilities and unlocks endless possibilities for you to empower your agents and better engage your customers. By combining the powers of HAQM Connect and Zendesk, businesses can build a more intelligent contact center.

Advances in migration technology enable you to migrate data from actively-used Hadoop environments at scale to the cloud. You can benefit from AWS managed services, pace of innovation, and improve costs for your largest and most complex analytic workloads. Learn how GoDaddy migrated data from their 800-node, 2.5 PB production Apache Hadoop cluster to HAQM S3 using WANdisco’s LiveData Migrator product.

Many organizations are cautious about moving to the cloud, or are fighting against gravity by staying on-premises. To keep up with their community’s needs, Guinness World Records has had to reimagine their IT architecture. Learn how Ensono helped Guinness World Records move all-in on AWS over a period of 10 months, and explore how Ensono continues to help them innovate using advanced AWS services.

Customers are always looking for new ways to improve operational efficiency and the security posture of applications running in their virtual private clouds (VPCs). HAQM Route 53 recently launched a Resolver Query Logs capability which lets customers log the DNS queries originating in their HAQM VPC. Follow along with our step-by-step instructions for logging VPC DNS queries in HAQM Route 53, ingesting them into Splunk, and then analyzing them with Splunk.

Data lakes have evolved into the single store-platform for all enterprise data managed. On AWS, an integrated set of services are available to engineer and automate data lakes. A data lake on AWS is able to group all of the previously mentioned services of relational and non-relational data and allow you to query results faster and at a lower cost. Learn how nClouds used code automation via AWS CloudFormation to create a dynamic data lake stack to visualize and analyze the financial market data.

Medical coding helps providers maintain patient records and obtain reimbursement for services. Unfortunately, the process is complicated, time-consuming, and prone to error. Learn how ClearScale developed a solution that increases the efficiency and accuracy of the coding process. Powered by AWS Machine Learning, the application translates recorded medical appointment notes, and uses the information to generate more accurate medical codes.