Category: Advanced (300)

State Farm, a leading insurance company, is leading the way in modernizing its mainframe application. By embracing the cloud and adopting robust workload automation tools, State Farm achieved greater agility and operational efficiency while delivering an enhanced customer experience. This modernization journey highlights the transformative power of cloud computing and intelligent workload automation in today’s competitive business landscape.

It can be challenging for companies to consolidate data from multiple sources into one system, which is why many use AWS Glue to build ETL workflows to load their data into data lakes. Learn how AWS has collaborated with Protegrity to enable organizations with strict security requirements to protect their data while being able to obtain the powerful insights. We’ll demonstrate how data tokenization for data in transit is performed using Protegrity’s Cloud API and AWS Glue.

SaaS is about achieving innovation and growth through efficient operations. SaaS application should be managed, operated, and scaled through a single management experience that increase this operational efficiency. In this post, we explore three distinct SaaS Anywhere patterns that we’ve identified and delve into the essential business drivers and associated considerations for each pattern. We’ll examine the challenges one should keep in mind when handling and overseeing a solution using the SaaS Anywhere deployment model.

Telecom operators are increasingly migrating to AWS and cost savings is one of the primary drivers. Learn how DigitalRoute’s benchmarks show that by migrating to AWS and taking advantage of services like AWS Fargate and AWS Graviton, telecom operators can retain their on-premises performance while seeing cost reductions when deploying the Usage Engine Private Edition on AWS. DigitalRoute is collaborating with AWS to enable telecom and communication service providers.

Leveraging the AWs serverless quick start solution which details core integration requirements of AWS Marketplace, this post builds on that foundation and offers techniques for providing end-to-end AWS Marketplace-to-SaaS application integration, using the quick start as a starting point. Specifically, we’ll look at ways you can use AWS Marketplace to onboard new tenants into your SaaS application. We’ll also cover a few of strategies for leveraging the billing capabilities of AWS Marketplace to charge for usage.

Atlassian Confluence lets you create, capture, and collaborate on projects or ideas while creating and sharing knowledge articles with your colleague and organization. Learn how to use an AWS Lambda function to customize Amazon CloudWatch alarm notifications and embed an Atlassian Confluence knowledge article within it. We’ll also explore the option to build a pipeline to carry the metrics notification from source instance to CloudWatch and Amazon SNS.

Luxoft, a DXC Technology Company, created an over-the-air (OTA) update solution reference on AWS using microservice architecture. Learn how this helps manufacturers deliver new features, fixes, and upgrades to in-vehicle software while providing customers the flexibility of choosing the time and features without going to a dealership or workshop in person. We’ll also discuss several functional use cases and demonstrate the benefits of Luxoft’s design and implementation approach.

In this post, delve into the process of detecting tenant activities within microservices spanning multiple AWS accounts. We provide insights into instrumenting AWS Lambda functions to include tenant information in tracing using ADOT and demonstrated how to establish a service map across several AWS accounts using Amazon CloudWatch. By leveraging AWS observability technology, SaaS providers can enhance operational efficiency and redirect their attention towards their desired development goals.

Thousands of organizations rely on Salesforce to manage their customer relationships, though they may store related data in a variety of heterogeneous external systems. Organizations use AWS for the variety of data stores, and Amazon RDS makes it simple for users to set up, operate, and scale databases in the cloud. Learn how to build an integration between Salesforce and Amazon RDS using the Salesforce Connect Adapter for GraphQL.

With the rise of large language models, natural language processing, and generative AI models, embeddings are becoming a critical piece of data in more machine learning use cases. In this post, explore different ways embeddings are used in machine learning and where problems can show up that impact your ML models, and how you can use WhyLabs to identify those problems and create monitors to avoid them showing up again in the future.