Tag: AWS Competency Partners

To receive the AWS Competency designation, which showcases top APN Partners to customers, organizations must undergo rigorous technical validation. To help APN Technology Partners understand this process and our validation requirements, we are releasing new versions of the AWS Competency Validation Checklists (VCL). These checklists outline the customer case study and technical criteria needed for APN Technology Partners to achieve the AWS Competency designation.

Enterprises often choose to mask, remove, or encrypt sensitive data in the ETL step to minimize the risk of sensitive data becoming stored, logged, accessible, or breached from their data lake or data warehouse. Xplenty’s ETL and ELT platform allows customers to quickly and easily prepare their data for analytics using a simple-to-use data integration cloud service. Xplenty’s global service uses AWS KMS to create and control the keys used to encrypt or digitally sign your data.

Serverless architectures allow application teams to build applications quickly without worrying about any of the underlying servers. Thundra’s cloud-native observability and security tool helps you test, debug, monitor, troubleshoot, and secure AWS Lambda functions, containers deployed by services like AWS Fargate, and their environments composed of managed or unmanaged services. Walk through a sample alerting scenario and learn how Thundra helps pinpoint and resolve the problem.

We are excited to highlight 34 APN Partners that received new designations in January for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top APN Partners that can deliver on core business objectives. APN Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

AWS CloudHSM is a cloud-based hardware security module (HSM) that enables you to easily generate, store, import, export, and manage your cryptographic keys. This post walks through using AWS services to create a pipeline that sends HSM audit logs into Splunk. You’ll also learn how to interpret the audit events and gain specific data insights that enable you to flag critical events taking place on the CloudHSM appliance.

AWS Single Sign-On makes it easy to centrally manage SSO access to multiple AWS accounts and business applications. You can use AWS SSO to create and manage users centrally and grant access to AWS accounts and business applications, such as Databricks. Instead of having to sign in separately to Databricks Control Plane and other business applications, with this configuration enabled users can access Databricks with their corporate credentials using AWS SSO.

By using serverless applications alongside existing Amazon Machine Images, ISVs can provide customers with solutions that are easier to use, more elastic, and more scalable. AWS Marketplace recently announced a feature that enables sellers to publish solutions comprised of AMIs and serverless applications that customers can deploy AWS CloudFormation. This makes it easier for customers to deploy software solutions, rather than ISVs packaging AWS Lambda code into an AMI or referencing their own Amazon S3 bucket.

To be a successful fintech startup, companies have to build solutions fast so the business can achieve its goals. However, you can’t compromise on security, reliability, or support. As an AWS Financial Services Competency Partner, Behalf is committed to delivering reliable, secure, low-cost payment processing and credit options to business customers. Learn how Behalf chose Amazon MSK to meet its increasing streaming data needs in a reliable and cost-efficient manner.

Voice data represents a rich and relatively untapped source of information that can help organizations gaining precious insights into their customers and operations. By leveraging a number of AWS services, Deloitte’s speech analytics solution, TrueVoice, can process voice data at scale, apply machine learning models to extract valuable information for this unstructured data, and continuously refine and enrich such models, tailoring them to specific industries and business needs.

Kubernetes provides development teams with the tools and capabilities they need to deliver real customer value in far shorter time than more traditional architectures. Operating Kubernetes environments at scale, however, becomes more complex and requires special focus on monitoring for performance and health. Explore the challenges of monitoring Kubernetes environments at scale, and learn how to implement monitoring with the New Relic Cluster Explorer that’s included with the Kubernetes integration.