Tag: AWS Partner Spotlight

The shift from a traditional Service Oriented Architecture (SOA) to microservices running on Kubernetes has given rise to a new set of challenges. To avoid blind spots, engineers need visibility into the dependencies between different microservices at the individual request level. Learn how Instana has fully automated the installation of the monitoring agent into Kubernetes, and how it helps monitor containerized workloads in Amazon EKS.

ThoughtSpot has developed a way for business people to easily answer their own data questions. Search-driven analytics is based on the concept that finding answers to business questions should be as easy as a basic internet search. With ThoughtSpot, there’s no need for SQL expertise or lengthy training sessions—rather, simple searches are translated into database queries and answers are calculated on-the-fly.

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). Amazon Route 53 recently launched a Resolver Query Logs capability which lets customers log the DNS queries originating in their Amazon VPC. Follow along with our step-by-step instructions for logging VPC DNS queries in Amazon Route 53, ingesting them into Splunk, and then analyzing them with Splunk.

Micro-segmentation is a building-block of the shared responsibility security model and makes your security measures more effective. Understanding of the shared responsibility security model is imperative for successful, secure cloud and digital transformation projects, as well as the future growth of public cloud infrastructure. Learn how implementing micro-segmentation as part of that process can help you maintain a more secure environment than simple traditional perimeter security.

Edge computing is a new paradigm in which the resources of a small data center are placed at the edge of the internet, in close proximity to mobile devices, sensors, and end users. Learn about the Physical Distancing Video Analytics Solution (VAS) on campus private 4G/5G networks that was developed utilizing AWS edge services in partnership with Carnegie Mellon University’s Open Edge Computing Initiative, Megh Computing’s Video Analytics Solution, and Federated Wireless Private Network Connectivity as a Service.

In Colombia, Grupo Éxito has been using VTEX’s marketplace platform capabilities to allow more than 1,000 retailers to connect and sell their products, extend their reach, and ease customer access to an extensive variety of products in a single place. Together with other features such as VTEX Intelligent Search (a fine-tuning search system), Éxito has received positive feedback by making the migration from Oracle ATG to VTEX. They have also experienced continuous improvements, culminating with the Día sin IVA series.

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.

Data science is driving significant value for many organizations, including fueling new revenue streams, improving longstanding processes, and optimizing customer experience. Domino Data Lab empowers code-first data science teams to overcome these challenges of building and deploying data science at scale. Learn how to build and export a model from the Domino platform for deployment in Amazon SageMaker. Deploying models within Domino provides insight into the full model lineage.

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.