AWS Partner Network (APN) Blog

Tag: AWS Services Partners

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AWS Foundational Technical Review Expands to Include Service Offerings

We’re excited to introduce the AWS Foundational Technical Review (FTR) for Service Offerings to help partners adopt AWS security and technical best practices, increase discoverability, and accelerate their partner journey. The FTR for Service Offerings validates a partner service offering—highlighting technical and customer engagement capabilities, and increasing visibility with customers and AWS teams.

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How Metal Toad Uses Machine Learning to Keep a Top Comic Site Safe for San Diego Comic-Con

Metal Toad has been working with major entertainment brands for decades, including keeping some of the highest-profile media sites live under unique traffic conditions. Keeping these sites up and running is one of Metal Toad’s superpowers, but the AWS Digital Customer Experience Competency Partner couldn’t do it without the tools provided by AWS. Explore some of the strategies Metal Toad deployed to protect a customer’s site during an event where failure was not an option.

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Using OpsWatch to Create a Single Pane of Prometheus Metrics from Multiple Non-Native Sources

Prometheus is an open-source systems monitoring and alerting toolkit which many companies and organizations have adopted. OpsWatch from Arvato Systems helps to bridge the gap between Prometheus native and non-native Amazon CloudWatch metrics and Amazon GuardDuty events. OpsWatch does this by consuming metrics, transforming and enriching them. They can be displayed in dashboards and/or trigger alerts. This gives the operator a single pane of Prometheus with powerful monitoring capabilities.

Understanding Amazon SQS and AWS Lambda Event Source Mapping for Efficient Message Processing

To make the best use of an Amazon SQS and AWS Lambda integration using event source mapping, it’s important to understand how the integration works. The SQS-Lambda integration is a powerful feature, and for small to medium-sized queues you don’t have to think much about the integration as it works out of the box. Serverless Guru is an AWS Advanced Tier Services Partner that helps companies build, migrate, and train teams on AWS serverless development.

How Axrail Built an AI-Powered Automated Reply System for Users’ Customer Service Queries

Customer service agents communicate with many individuals using channels such as inbound and outbound calls, emails, chats, and social media messaging. For channels like email or social media messaging, there is typically a target timeframe within which the agent needs to reply to the customer. Learn about an AI-powered solution called Smart Reply developed by Axrail, an AWS Advanced Tier Services Partner that provides outcome-based digital transformation through analytics and application modernization.

DXC Technology’s Plug-and-Play API-Based AWS Object Storage Accelerator Solution

Amazon S3 is ideal when you want to store documents, images, and videos and render with faster performance. Learn about the object storage accelerator built by DXC Technology, a serverless solution that automatically creates code repository, CI/CD pipeline, and S3 storage APIs with security best practices in a two-step deployment process. The solution is technology-agonistic which means any customer project can consume these services after deployment.

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Accelerate Machine Learning Initiatives Using DXC’s MLOps Quick Start on AWS

A small number of companies manage to leverage the true value of their machine learning proofs of concept, and the majority of those are still struggling to overcome the experiment-production gap for their AI applications fueled by machine learning and data. Learn about MLOps, why organizations should care about it on their AI journey, and how DXC Technology and AWS can help to quickly integrate MLOps best practices into your daily business using the MLOps Quick Start for MLOps on AWS.

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Optimizing AWS Database Migration Service for Oracle to PostgreSQL with Fujitsu

Migrating a company’s database architecture from an on-premises database to the cloud can be a complicated and time-consuming process. One of the critical decisions is the choice of tooling to deliver the migration, and how to get the best out of the selected tool. This post discusses key learnings and experiences Fujitsu has gained through its use of AWS Database Migration Service (AWS DMS) during database migration projects, primarily from Oracle-to-PostgreSQL migrations.

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How N-iX Developed an End-to-End Big Data Platform on AWS for Gogo

Gogo is a global provider of broadband connectivity products and services for business aviation. It needed a qualified engineering team to undertake a complete transition of its solutions to the cloud, build a unified data platform, and streamline the best speed of the inflight internet. Learn how N-iX developed the data platform on AWS that aggregates data from over 20 different sources using Apache Spark on Amazon EMR.

BJSS Demonstrates the Viability of Building Low-Latency Trading Platforms on AWS

As BJSS demonstrates in this post, hosting a trading platform for a major market in the cloud has long been technically feasible, and the last four years have only solidified the argument for migration of trading systems to cloud infrastructure. The study BJSS performed should be used as confirmation of cloud capabilities by those weighing the cost and opportunity of a transition. Early adopters of cloud services have benefited from the advantages of improved resiliency, scalability, security, and flexibility.