AWS Partner Network (APN) Blog

Category: Expert (400)

Confluent-AWS-Partners

Accelerate Data Warehousing by Streaming Data with Confluent Cloud into Amazon Redshift

Built as a cloud-native service, Confluent Cloud offers developers a serverless experience with elastic scaling and pricing that charges only for what they stream. Confluent’s Kafka Connect Amazon Redshift Sink Connector exports Avro, JSON Schema, or Protobuf data from Apache Kafka topics to Amazon Redshift. The connector polls data from Kafka and writes this data to an Amazon Redshift database. Polling data is based on subscribed topics.

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AWS-SaaS-Factory-1

Isolating SaaS Tenants with Dynamically Generated IAM Policies

Many SaaS organizations leverage AWS Identity and Access Management (IAM) to define a series of policies and roles that can be used to ensure tenants are not allowed to cross tenant boundaries when accessing resources. To make this work, you have to create separate policies for each tenant which can create an explosion of tenant policies that push the account limits of IAM. Learn how dynamic policy generation creates a more scalable and manageable isolation experience.

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CloudBees-AWS-Partners

Modernize Your CI/CD Pipeline Using Jenkins X with Amazon EKS

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.

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Machine Learning-4

Using Fewer Resources to Run Deep Learning Inference on Intel FPGA Edge Devices

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.

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How to Build a Real-Time Gaming Leaderboard with Amazon DynamoDB and Rockset

For microservices that predominantly write data, Amazon DynamoDB provides an “always on” experience without the need for careful capacity planning, resharding, and database maintenance. These capabilities make DynamoDB a popular database service for various parts of game platforms like player data, game state, session history, and leaderboards. Learn how to pair Amazon DynamoDB with an analytics solution like Rockset to automatically index your data for fast search, aggregations, and joins at scale.

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Okta-AWS-Partners

Implementing SAML AuthN for Amazon EMR Using Okta and Column-Level AuthZ with AWS Lake Formation

As organizations continue to build data lakes on AWS and adopt Amazon EMR, especially when consuming data at enterprise scale, it’s critical to govern your data lakes by establishing federated access and having fine-grained controls to access your data. Learn how to implement SAML-based authentication (AuthN) using Okta for Amazon EMR, querying data using Zeppelin notebooks, and applying column-level authorization (AuthZ) using AWS Lake Formation.

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Epsagon_AWS-Partners-1

How Epsagon Increased Performance on AWS Lambda by 65% and Reduced Cost by 4x

Providing a better experience at lower cost is the desired result of any organization and product. In most cases, it requires software re-architecting, planning, infrastructure configurations, benchmarking, and more. Epsagon provides a solution for monitoring and troubleshooting modern applications running on AWS. Dive deep on some of the best practices Epsagon has developed to improve the performance and reduce the cost of using serverless environments.

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Monitoring Your Palo Alto Networks VM-Series Firewall with a Syslog Sidecar

By hosting a Palo Alto Networks VM-Series firewall in an Amazon VPC, you can use AWS native cloud services—such as Amazon CloudWatch, Amazon Kinesis Data Streams, and AWS Lambda—to monitor your firewall for changes in configuration. This post explains why that’s desirable and walks you through the steps required to do it. You now have a way to monitor your Palo Alto Networks firewall that is very similar to how you monitor your AWS environment with AWS Config.

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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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