Tag: Amazon EventBridge

As organizations move to AWS, ensuring you have an effective disaster recovery (DR) strategy in place to manage outages is paramount. Through defining a common understanding of RTO and RPO requirements, organizations can adequately design for DR solutions. Learn how Onica’s Elastic Engineering team co-created a solution with a client that leverages serverless architecture and enables an automated backup and restore for Amazon RDS instances.

When moving to a SaaS model, companies need more flexible billing constructs that allow them to support a range of billing strategies and models. Learn how SaaS providers can create a billing integration experience that captures metering data and publishes it to a third-party billing system. We’ll also review common SaaS billing models and introduce a sample billing implementation that provides a working example of how you can approach building a strategy for integrating with SaaS billing providers.

Automatically identifying and upgrading existing SSD volumes to take advantage of the new gp3 general purpose volumes for Amazon EBS can help organizations reduce storage costs. Learn how to upgrade your existing gp2 volumes, without interruption, to the next generation of general purpose SSD volumes using AWS Systems Manager. This a core component of nubeGo’s Cloud Managed Service (NCMS) which helps customers automate cost savings, security guardrails, and compliance requirements with minimal effort.

Learn how image scanning implemented at various points of the container and Kubernetes lifecycle can provide you with critical insights to ensure security and compliance, without impacting the flexibility you need to build and run your applications. Built on open source, the Sysdig Secure DevOps Platform enables cloud teams to secure build pipelines, detect runtime threats, validate compliance, and monitor performance.

As part of adopting a multi-tenant SaaS model, a key challenge is how to provide strong tenant isolation in a cost effective and scalable manner. Being able to effectively isolate your tenants is an important part of a multi-tenant system. Learn how dynamic policy generation gets applied as part of the overall isolation story of your SaaS solution, and follow along with AWS reference implementation to demonstrate how to use dynamically generated policies in code.

AWS introduced Amazon EventBridge partner event source integrations to showcase reference architectures and end-to-end use cases that help you get started quickly with integrating SaaS partners in your own applications. Fully open source, these solutions include code and AWS Serverless Application Model (SAM) templates that can be customized and extended to fit your application’s needs. The reference architectures include AWS Quick Starts and GitHub code to ease integration.

Work is becoming more complex, collaborative, and fast-paced in the time of COVID-19. With the role of crisis communications increasing in visibility, the capability of SaaS applications to facilitate actionable communications is paramount. Whispir’s integration of Amazon EventBridge means the Whispir platform can power communication workflows between your apps, systems, and databases without the need to write any connection code.

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.

The Digital Workplace program at AWS identifies APN Partners and AWS solutions that can help you build a digital workplace. All the partners and AWS solutions that we showcase have passed a Technical Baseline Review with AWS, and some of our APN Partners have also created AWS Quick Starts. These accelerators that reduce hundreds of manual procedures into just a few steps, so you can build your production environment quickly and start using it immediately.

Next Caller uses machine learning on AWS to drive data analysis and the processing pipeline. Amazon SageMaker helps Next Caller understand call pathways through the telephone network, rendering analysis in approximately 125 milliseconds with the VeriCall analysis engine. VeriCall verifies that a phone call is coming from the physical device that owns the phone number, and flags spoofed calls and other suspicious interactions in real-time.