AWS Partner Network (APN) Blog
As customers bring more and more workloads to AWS, they are seeking to optimize for different characteristics like compute performance, memory, or throughput. AMD-powered instances are integral to these offerings. Later this year, AWS plans to offer Amazon EC2 instances powered by the newly introduced third generation AMD EPYC processors. These instances will expand customer choice of compute options available on EC2.
With an increased pace of innovation and demand for faster development and testing cycles, customers with mainframes want to adopt DevOps practices for their z/OS environments. To facilitate these practices, IBM offers the IBM Z Development and Test (ZD&T), a hardware emulation solution that allows regular z/OS software to run on the x86 platform by emulating the IBM Z instruction set, IO, and other devices. Learn how to create your own IBM ZD&T and z/OS environment on AWS.
When moving to a SaaS model, companies need more flexible billing constructs that allow them to support a range of billing strategies and models. Learn how SaaS providers can create a billing integration experience that captures metering data and publishes it to a third-party billing system. We’ll also review common SaaS billing models and introduce a sample billing implementation that provides a working example of how you can approach building a strategy for integrating with SaaS billing providers.
Secure Cloud Foundation is a fully managed platform-as-a-service offering from Infosys Compaz (iCompaz), an Infosys Limited joint venture. It provides a managed platform with foundational secure landing zone capabilities, as well as application and workload hosting capabilities. Secure Cloud Foundation helps customers achieve enterprise-grade security for their workloads running on AWS. In this post, walk through typical customer cloud adoption scenarios that could leverage the Secure Cloud Foundation.
With the move to cloud, there has been a paradigm shift in how we protect our most valuable asset—data. Learn the importance of building a complete and accurate risk profile, which consists of your identity and data relationships. You’ll also learn how it’s critical to protect the sensitive, private, and confidential data. Sonrai Dig graphically maps all of your identities and determines their effective permissions, allowing you to get to least privilege across your entire AWS environment.
Say Hello to 74 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in February
We are excited to highlight 74 AWS Partners that received new designations in February for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS 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.
Achieving “speed of thought” or instant analytics on large data sets is a key challenge for business intelligence platforms. Traditionally, data engineers would design and deliver an optimized, aggregated subset of the data to a data warehouse to drive the visualization. This can often take weeks of development and testing or incur significant infrastructure costs. Learn how Indexima uses machine learning and hyper indexes to automate this process and accelerate analytics by up to 1000x across a full data set on Amazon S3.
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed, highly available, and secure Apache Kafka service that makes it easy to build and run applications that use Kafka to process steaming data. Learn how to use the new open source Kafka Connect Connector (StreamReactor) from Lenses.io to query, transform, optimize, and archive data from Amazon MSK to Amazon S3. We’ll also demonstrate how to use Amazon Athena to query the partitioned parquet data directly from S3.
Artificial intelligence (AI) and machine learning (ML) are maturing rapidly. According to Gartner, 75% of enterprises will shift from piloting to operationalizing AI by 2024. That’s why we are expanding the AWS Machine Learning Competency to help customers identify and engage qualified AWS Partners that have deep technical expertise and proven customer success in the areas of Applied AI and Machine Learning Operations (MLOps).
In the financial services domain, it’s a common architecture pattern to find shared services file servers that act as SFTP file server or FTP server. Because these financial applications are not always API driven, data exchange using flat files remains the standard way to share information between applications, even when some of them have been migrated to AWS. Learn how DXC Technology addressed migrating this type of server using AWS Transfer Family, Amazon S3, and Amazon EFS.