AWS Partner Network (APN) Blog

Tag: Amazon CloudWatch

AWS-SaaS-Factory-1

Using Amazon SQS in a Multi-Tenant SaaS Solution

Modern applications often rely on queuing for service integrations, batch processing, or as part of workflow orchestration. Queues are key to adding scale and resiliency to your environment. This is especially true in software-as-a-service (SaaS) environments. Explore some of the common scenarios used when building SaaS solutions with Amazon Simple Queue Service (SQS), and learn how data isolation, scalability, and compliance requirements might influence the queuing model you select.

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Amazon Fraud Detector Can Accelerate How AI is Embedded in Your Business

Online fraud is estimated to be costing businesses billions of dollars a year. As Fraudsters evolve new behaviors to get around preventive measures, businesses need a strategy that enables them to be responsive to new problems as they emerge. Learn how Inawisdom uses Amazon Fraud Detector to accelerate how AI can be embedded in a company’s strategy. What makes machine learning more flexible is its focus on identifying general patterns by looking at lots of examples.

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CloudZero-AWS-Partners

CloudZero Simplifies Kubernetes Cost Tracking with Support of AWS SaaS Factory

With the support of AWS SaaS Factory, CloudZero launched a new capability for companies with investments in containerized workloads orchestrated with Kubernetes in the AWS environment. With this new capability, software providers can understand the exact container costs breakdown and how they roll up to products, features, and teams along with their other AWS services. Hear from Tim Buntel, Chief Product Officer at CloudZero, who shares some insights about their recent launch.

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Deploying DevSecOps on Amazon EKS with Aqua Security – Part 2

Aqua Security was built to redefine security and help you address the security skills gap in a rapidly evolving cloud-native landscape, automating security controls at the speed of DevOps. Unlike traditional security, cloud-native security cannot adopt a one-size-fits-all approach. It has to be seamlessly integrated with the existing processes, organizational culture as well as the technology. Learn how to implement a DevSecOps pipeline using AWS CodePipeline and Aqua Platform.

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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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How to Proactively Monitor Amazon RDS Performance with Datadog

To proactively identify and remediate potential errors, you need deep visibility into your entire Amazon RDS environment. This post shows you how Datadog can fetch data from Amazon CloudWatch and your Amazon RDS database instances to give you a comprehensive view of your cloud environment. We also dive into how you can automatically detect performance anomalies, abnormal throughput behavior, and forecasting storage capacities.

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Migration-3

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.

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How Swisscom Saved DroneAnalytics 60% on AWS Services by Using the AWS Well-Architected Framework

DroneAnalytics offers hardware and software solutions for drones and connected objects. The consulting services from Swisscom, based on the AWS Well-Architected Framework, enabled them to more properly monitor their consumption of AWS services. By leveraging Well-Architected best practices and working with Swisscom, DroneAnalytics saved 60 percent on their AWS spend, whilst maintaining the same or better levels of operational efficiency, reliability, and performance.

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Analyzing COVID-19 Data with AWS Data Exchange, Amazon Redshift, and Tableau 

To help everyone visualize COVID-19 data confidently and responsibly, we brought together APN Partners Salesforce, Tableau, and MuleSoft to create a centralized repository of trusted data from open source COVID-19 data providers. Anyone can work with the public data, blend it with their own data, or subscribe to the source datasets directly through AWS Data Exchange, and then use Amazon Redshift together with Tableau to better understand the impact on their organization.

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Next-Caller-AWS-Partners

Building a Data Processing and Training Pipeline with Amazon SageMaker

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.

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