AWS Partner Network (APN) Blog

Tag: AWS Partner Solutions Architects (SA)

Machine Learning-3

Training Machine Learning Models in Pharma and Biotech Manufacturing with Bigfinite

While market adoption of machine learning varies across industry segments, healthcare and life sciences have lots of opportunity to explore. Pharmaceutical and biotech industries, specifically, have low utilization of the large volumes of data they collect and store for regulatory purposes. Bigfinite is an APN Standard Technology Partner that offers a number of ML solutions to enhance utilization and management of such data in a way that adheres to Good Manufacturing Practice (GMP) in the cloud.

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Nouvola_AWS Solutions

Load Test Your Applications with Nouvola DiveCloud and AWS CodePipeline

Nouvola’s DiveCloud integrates directly with AWS CodePipeline and makes it easy for developers to incorporate load testing into their CI/CD workflows. DiveCloud uses machine learning and predictive analytics technologies to test your software from a wide range of geographic locations, with real-life user scenarios and in-depth performance analytics. Nouvola is an APN Advanced Technology Partner with the AWS DevOps Competency.

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Security Orchestration with Symantec Cloud Workload Protection and AWS Systems Manager

Symantec is an AWS Security Competency Partner that has integrated Amazon’s SSM Agent with their cloud-native Symantec Cloud Workload Protection (CWP) solution, which automates core security controls for AWS workloads, enabling business agility, risk reduction, and cost savings for organizations, while easing DevOps and administrative burdens. Customers can now deploy the CWP agent directly from the CWP console or just use a simple REST API call.

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AWS DevOps

How to Automate Centralized Logging and Integrate with Datadog

Having to debug a system with logs scattered in different places can make troubleshooting difficult, which is one of the reasons we recommend customers deliver AWS CloudTrail logs to a centralized Amazon S3 bucket. Although aggregating these logs is a big step forward, it still requires something to parse the logs and alert based on anomalies or high-risk API calls. Customers can integrate with solutions such as Datadog, which allows you to configure monitors and send critical change notifications to your team.

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Blockchain Partners-2

Building Blockchain Applications with Corda Enterprise on AWS

Corda Enterprise from APN Advanced Technology Partner R3 harnesses the most appropriate elements from the Corda blockchain platform—smart contract technology, immutability, and consensus on the shared perception of truth—and fine tunes them for the enterprise market. Corda Enterprise adds features like a Blockchain Application Firewall, support for SQL Server databases, and easy back-office integrations in a highly available and redundant configuration.

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Migration-3

Patterns and Best Practices for Mainframe Modernization with AWS

There is no one-size-fits-all for mainframe modernization to AWS. Depending on the business and IT strategy, customers select the most suitable pattern for them. If the mainframe is large enough to process multiple workloads, the characteristics can favor different patterns. Fortunately, based on our experience from successful customer modernization projects to AWS, we have identified patterns, lessons learned, and best practices that facilitate new mainframe-to-AWS initiatives.

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Delphix_AWS Solutions

DataOps Solution from APN Partner Delphix Boosts Cloud Data Sync and Migration

Liberating data from enterprise silos poses an uphill challenge for most IT organizations. The process usually involves backup of production databases, lift-and-shift migration to a cloud environment, provisioning of cloud resources, and validation of imported data. By utilizing AWS to maintain and manage the unified data fabric, Delphix Dynamic Data Platform accelerates cloud adoption and is a cornerstone during an organization’s migration to cloud-native and hybrid cloud deployments.

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Machine Learning-3

4 Steps to Train and Deploy Machine Learning Models on AWS Using H2O

H2O is an open source data machine learning platform that provides a flexible, user-friendly tool to help data scientists and machine learning practitioners. It was created by H2O.ai, an APN Advanced Partner with the AWS Machine Learning Competency. In this post, we look at setting up an H2O cluster, import data from Amazon S3, create an AWS Lambda deployment package from the model, and finally deploy a RESTful endpoint. Following these steps, you can migrate your H2O Flows to AWS in about 10 minutes.

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Tigera_AWS Solutions

Turnkey Network Security and Continuous Compliance for Your Amazon EKS Cluster

While a managed Kubernetes offering provides a tremendous business advantage for time-to-market when deploying new applications, customers still need to think about securing their applications. In this post, we explore how APN Advanced Technology Partner Tigera and their Tigera Secure Cloud Edition (CE) helps ensure your containerized applications running in Kubernetes are secure and auditable.

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IoT-5

Analyzing the Run-Time Behavior of an AWS IoT Device

SEGGER is an APN Standard Technology Partner and provides solutions for secure communication as well as data and product security, meeting the needs of the rapidly evolving Internet of IoT market. In this post, you will see what your IoT devices really do when they connect to and use AWS IoT. With SEGGER’s analysis tools, we show how to track down and solve hard-to-find, timing-related issues and demonstrate how to visualize and analyze what happens in your firmware.

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