Category: Technical How-to

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.

In this blog post, we will explore three distinct SaaS Anywhere patterns that we’ve identified. We will delve into the essential business drivers and associated considerations for each pattern and examine the challenges one should keep in mind when handling and overseeing a solution using the SaaS Anywhere deployment model.

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.

Traditional cloud monitoring, observability, and security approaches often require manual processes for data analytics. The Dynatrace Grail data lakehouse platform provides instant, cost-efficient, AI-powered analytics and automation of unified observability, security, and business data at any scale. Learn how this enables organizations to store, process, and analyze the enormous volume and variety of data from modern cloud ecosystems while retaining its context and without structuring or rehydrating it.

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.

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.

By automating performance testing and including chaos testing, organizations can identify failure scenarios in systems before they develop and cause downtime. Learn how Distributed Load Testing on AWS (DLT) automates performance testing at scale, and how AWS Fault Injection Simulator (AWS FIS) performs controlled chaos engineering experiments on AWS resources. By combining the power of AWS FIS and DLT, organizations can perform comprehensive resilience testing and continuously validate their systems.

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.

Developers can rely on AWS CloudFormation to update or add new resources to an application, as CloudFormation provides two methods for updating the stack: direct update or change set. Learn how to update the value and add new resources to your running Amazon RDS deployment, and explore architecture diagrams to help you see how the system behaves when you apply the changes via CloudFormation template.