Tag: AWS Competency Program

Amazon Redshift recently announced support for materialized views, which lead to significantly faster query performance on repeatable query workloads. That, in turn, reduces the time to deliver the datasets you need to produce your business insights. Matillion ETL for Amazon Redshift provides comprehensive enterprise-grade features to simplify and speed up building and maintaining these pipelines.

A virtual router service such as Megaport Cloud Router (MCR) routes traffic across AWS regions without forcing you to set up and maintain static routes. MCR is a virtual routing service maintained by Megaport. All you do is set up your AWS environment and forward its configuration to Megaport, which handles the rest. Megaport’s connectivity specialists can provide design and support worldwide to AWS users.

The new AWS Digital Workplace Competency helps customers reduce security risks and meet compliance requirements, while freeing end users from the office and enabling them to work securely on any device, from anywhere, at any time. The AWS Digital Workplace Competency takes on the heavy lifting of identifying and validating industry leaders with proven customer success and technical proficiency in endpoint management, application management, and collaboration platforms.

A big challenge for enterprises is how to manage the growth of data in a cost-effective manner. CIOs are also looking for ways to get insights out of the data so their organizations can create actionable outcomes. Learn how the CloudArchive Direct feature of Cohesity’s DataPlatform with AWS analytics services to drive insights into customers’ NAS data. Cohesity is redefining data management to lower TCO while simplifying the way businesses manage and protect their data.

Many companies today are challenged to ensure the resiliency of their supply chain operations against the disruption of geopolitical events, climate-related disasters, public health crises, and more. Explore how Deloitte’s IoT-enabled blockchain solution for supply chain can help organizations create transparency and promote trust in their supply chain with a single source of truth for product quality and traceability.mThe solution is powered by AWS IoT and Amazon Managed Blockchain services.

We are excited to highlight 55 AWS Partners that received new designations in August for our global AWS Competency, AWS Service Delivery, AWS Service Ready, and AWS Managed Service Provider (MSP) programs. These designations span workload, solution, and industry, and help customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Aqua Security was built to redefine security and help you address the security skills gap in a rapidly evolving cloud-native landscape, automating security controls at the speed of DevOps. Unlike traditional security, cloud-native security cannot adopt a one-size-fits-all approach. It has to be seamlessly integrated with the existing processes, organizational culture as well as the technology. Learn how to implement a DevSecOps pipeline using AWS CodePipeline and Aqua Platform.

AWS App2Container (A2C) is an enabler for containerizing and migrating legacy applications to AWS quickly. Its value-add is specifically seen for use cases where the legacy system in question is large with heterogeneous applications, where A2C helps to bring a commonality to the migration approach, tools, and the target state architecture. With A2C, customers can quickly containerize their legacy applications and migrate to AWS with minimal remediation and at scale.

At a time when software delivery speed matters more than ever, teams need a toolchain that allows them to build and deploy rapidly while realizing the cost savings of open source technologies. CloudBees is a provider of Jenkins-based CI/CD solutions (Jenkins X) that meet the security, scalability, and manageability needs of on-premises and cloud environments. Learn how to combine Amazon EKS with Jenkins X to establish a Kubernetes-native CI/CD process.

Inference is an important stage of machine learning pipelines that deliver insights to end users from trained neural network models. These models are deployed to perform predictive tasks like image classification, object detection, and semantic segmentation. However, constraints can make implementing inference at scale on edge devices such as IoT controllers and gateways challenging. Learn how to train and convert a neural network model for image classification to an edge-optimized binary for Intel FPGA hardware.