AWS Partner Network (APN) Blog

Category: AWS Marketplace

Snowflake-AWS-Partners

Analyze Streaming Data from Amazon Managed Streaming for Apache Kafka Using Snowflake 

When streaming data comes in from a variety of sources, organizations should have the capability to ingest this data quickly and join it with other relevant business data to derive insights and provide positive experiences to customers. Learn how you can build and run a fully managed Apache Kafka-compatible Amazon MSK to ingest streaming data, and explore how to use a Kafka connect application to persist this data to Snowflake. This enables businesses to derive near real-time insights into end users’ experiences and feedback.

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Cloudsoft-AWS-Partners

Using Terraform to Manage AWS Programmable Infrastructures

Terraform and AWS CloudFormation allow you to express infrastructure resources as code and manage them programmatically. Each has its advantages, but some enterprises already have expertise in Terraform and prefer using it to manage their AWS resources. To accommodate that preference, CloudFormation allows you to use non-AWS resources to manage AWS infrastructure. Learn the steps to create a CloudFormation registry resource type for Terraform and deploy it as an AWS Service Catalog product.

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BMC-AWS-Partners

How to Orchestrate a Data Pipeline on AWS with Control-M from BMC Software

In spite of the rich set of machine learning tools AWS provides, coordinating and monitoring workflows across an ML pipeline remains a complex task. Control-M by BMC Software that simplifies complex application, data, and file transfer workflows, whether on-premises, on the AWS Cloud, or across a hybrid cloud model. Walk through the architecture of a predictive maintenance system we developed to simplify the complex orchestration steps in a machine learning pipeline used to reduce downtime and costs for a trucking company.

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GitLab-AWS-Partners

Using GitLab CI/CD Pipeline to Deploy AWS SAM Applications

In order to deliver serverless applications, customers often turn to DevOps principles to efficiently build, deploy, operate, and iterate on features and changes. CI/CD is one of the major components of DevOps that helps deliver code faster and more reliably to production. GitLab’s continuous integration offering provides a rich set of features for automating how new code is incorporated into your software and how new versions of your software get built and deployed.

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Cazena-AWS-Partners

Accelerating Apache and Hadoop Migrations with Cazena’s Data Lake as a Service on AWS

Running Hadoop, Spark, and related technologies in the cloud provides the flexibility required by these distributed systems. Cazena provides a production-ready, continuously optimized and secured Data Lake as a Service with multiple features that enables migration of Hadoop and Spark analytics workloads to AWS without the need for specialized skills. Learn how Cazena makes it easy to migrate to AWS while ensuring your data is as secure on the cloud as it is on-premises.

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Optimizing Customer Experiences for Speed Using AWS and Crownpeak

One of the biggest obstacles for brands today is improving the performance of their digital properties. While much of today’s marketing technologies leverage modern advances in cloud computing, many of the technologies powering digital properties (web and mobile sites) still use the prior generation of server-based technologies. Learn how to modernize your digital technology stack with Crownpeak to optimize customer experiences for speed, and ultimately improve performance for your brand.

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Datadog-AWS-Partners

How to Visualize and Monitor Your AWS Container Fleet with Datadog

To fully leverage the versatility and scalability of containers, you need a monitoring solution capable of providing clarity into a highly dynamic environment comprising thousands (or even tens of thousands) of ephemeral containers. Learn how Datadog provides visibility into dynamic, ephemeral container workloads running on Amazon EKS, a service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

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Epsagon_AWS-Partners

Monitoring Microservice-Based Cloud Applications Using Distributed Tracing

As application complexity increases, the debugging process in production environments gets more complicated as well. AWS understands this challenge and includes tracing tools in its cloud services. For instance, AWS X-Ray helps developers analyze and debug distributed applications, such as those built using a microservices architecture. Epsagon specializes in automated tracing for cloud microservices, providing automated end-to-end tracing across not distributed AWS services.

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Fivetran_AWS-Service-Ready

Enabling Customer Attribution Models on AWS with Automated Data Integration

Attribution models allow companies to guide marketing, sales, and support efforts using data, and then custom tailor every customer’s experience for maximum effect. Combined together, cloud-based data pipeline tools like Fivetran and data warehouses like Amazon Redshift form the infrastructure for integrating and centralizing data from across a company’s operations and activities, enabling business intelligence and analytics activities.

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Managing Red Hat Enterprise Linux Systems on AWS with Red Hat Insights

Red Hat Insights helps you manage Red Hat Enterprise Linux (RHEL) Systems on AWS by analyzing physical, virtual, container, and hybrid private and public cloud environments, comparing them to more than 1,000 rules. These rules identify potential threats that could lead to business disruptions. Insights scans your environments daily, summarizes any identified risks in its dashboard, and provides remediation steps for those risks.

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