AWS Partner Network (APN) Blog
Connecting Applications Securely to a MongoDB Atlas Data Plane with AWS PrivateLink
Customers want to guarantee private connectivity to MongoDB Atlas running on AWS. All dedicated clusters on MongoDB Atlas are deployed in their own VPC, so customers usually connect to a cluster via VPC peering or public IP access-listing. AWS PrivateLink allows you to securely access MongoDB Atlas clusters from your own VPC. In this post, follow step-by-step instructions to configure AWS PrivateLink for MongoDB Atlas, ensuring private connectivity to your data.
How HeleCloud Used AWS Secrets Manager to Automate Credentials Rotation of MS SQL on Amazon EC2
HeleCloud combines AWS Secrets Manager and the AWS Systems Manager Run Command into a solution that automatically rotates secrets for databases running on Amazon EC2. In addition to automatically rotating your secrets, it allows you to access them in applications running on Amazon EKS. Learn about the HeleCloud solution and walk through the code snippets and steps required to set up automatic credentials rotation of MS SQL Server running on Amazon EC2.
Provisioning a Virtual Private Cloud at Scale with AWS CDK
Infrastructure as code is one of the most important concepts used with cloud solutions, and AWS CloudFormation enables IaC by deploying stacks and provisioning resources on AWS using JSON or YAML files called templates. APN Ambassador Francois Rouxel from Slalom will show you how to create a hundred VPCs in one AWS region without providing any parameters, and how to easily establish a peering connection between two of them within a single line of code.
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.
Getting Started with Bottlerocket and Certified AWS Partners
Bottlerocket is an open source Linux-based OS purpose-built for hosting containers, and APN Partners and AWS customers can quickly get up and running with Bottlerocket. Our goal is to continue to enhance the capabilities of our APN Partners by working together to incorporate it within their offerings and services, so that our mutual customers benefit from the reduced footprint, improved security, performance, and automation capabilities of the OS.
Accelerating Agility with 12 Attributes for Mainframe Workloads
Mainframes typically host core business processes and data. To stay competitive, customers have to quickly transform their mainframe workloads for agility while preserving resiliency and reducing costs. There is a challenge in defining the agility attributes and prioritizing the corresponding transformations for maximum business value in the least amount of time. In this post, dive deep in the practical agility attributes needed by mainframe workloads, and how to accelerate the transformation towards such agility with AWS.
Architecting Successful SaaS: Interacting with Your SaaS Customer’s Cloud Accounts
Explore several common AWS services and architectural patterns used by SaaS vendors to interact with their customers’ cloud accounts. Examples of SaaS products requiring some level of account interaction often fall into the categories of logging and monitoring, security, compliance, data analytics, DevOps, workflow management, and resource optimization. SaaS products, such as the ones in these categories, regularly interact with resources in the subscribing customer’s AWS account.
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.
Lower TCO and Increase Query Performance by Running Hive on Spark in Amazon EMR
Learn how Mactores helped Seagate Technology to use Apache Hive on Apache Spark for queries larger than 10TB, combined with the use of transient Amazon EMR clusters leveraging Amazon EC2 Spot Instances. It was imperative for Seagate to have systems in place to ensure the cost of collecting, storing, and processing data did not exceed their ROI. Moving to Hive on Spark enabled Seagate to continue processing petabytes of data at scale with significantly lower TCO.
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.