Systems | Development | Analytics | API | Testing

Shift left to write data once, read as tables or streams

Shift Left is a rethink of how we circulate, share and manage data in our organizations using DataStreams, Change Data Capture, FlinkSQL and Tableflow. It addresses the challenges with multi-hop and medallion architectures using batch pipelines by shifting the data preparation, cleaning and schemas to the point where data is created and as a result, you can build fresh trustworthy datasets as streams for operational use cases or Apache Iceberg tables for analytical use cases.

How to source data from AWS DynamoDB to Confluent using DynamoDB Streams and AWS Lambda

This is a one-minute video showing an animated architectural diagram of the integration between Amazon DynamoDB and Confluent Cloud using DynamoDB Streams and AWS Lambda. Details of the integration are provided via narration.

S1.E19: Web testing with Playwright | QA Therapy Podcast

Feeling uncertain about which framework to adopt for web testing? You're not alone. Tools like Playwrigt, are emerging as excellent options. We're thrilled to have Debbie O'Brien as our guest. Debbie serves as a Senior Program Manager at Microsoft, where she passionately advocates for better testing with Playwright. // R E S O U R C E S.

API-First: Shifting Your Focus from UI to Product Value

If you’re interested in #apifirst but struggle to understand the organisational or operational drivers that might indicate a positive return on investment for adopting such approaches, then check out this session from Frank Kilcommins and Nauman Ali. They cover the topics above and showcase how visual tools, like the new Form Editor within #Swaggerhub can help break down the barriers to participation in API delivery.

Managing Alert Fatigue in Software Testing

In the last decade, we've leaned heavily on VC-backed tools like @Sumo Logic and @Splunk to help us sift through endless data and logs. These tools are invaluable, but now we're drowning in data, making it tough to focus on what truly matters. This challenge is no different in software testing. Here, many face the dilemma of running thousands of tests nightly with hundreds failing. It’s a sea of alerts and noise, leaving us questioning what we're actually testing.

Reporting for Oracle Enterprise Bundle Flyover

Oracle users like you crave insights, but those intricate schemas and countless table joins stand in your way. BI tools like Power BI or Tableau offer the perfect platform to build dashboards and reports, but wrestling with technical jargon to access data slows you down. Imagine a world where that data becomes readily available. insightsoftware Reporting for Oracle makes it easy for users to analyze, report on, and share data from Oracle ERP.

Highlighting What Matters in Information Processing

Ever thought about the power of glanceable and audible information? One team used a pattern of white noise—crickets—to indicate their site's status. When something went wrong, the crickets stopped, and everyone immediately knew to take action. It’s a brilliant way to process information passively and focus on what truly matters. Check out the most recent episode of Test Case Scenario as we discuss how to cut through the noise and highlight what’s truly important.

Prioritizing What Matters in Software Testing

Drowning in notifications? Prioritize what truly matters. @Marcus Merrell asked himself, "Will I stop for any alert from this app?" Only three made the cut. Apply this to software testing: "Will we stop the shipment if this test fails?" If not, that test isn't helping. Don’t be afraid to delete unnecessary code. Quality control and assurance are crucial.

A Data Migration Example with Linx

This video illustrates a simple data migration example process built with Linx and uses a Stadium front end. The process migrates data from a source database into a target database. Data Validation rules are also applied to catch any error records; these records must be corrected on the front end and then migrated to the target database once resolved.