Systems | Development | Analytics | API | Testing

%term

Using GitLab With Helix QAC

The cloud-based GitLab CI/CD platform allows development teams to streamline their Continuous integration (CI) and Continuous Delivery (CD) pipelines and accelerate their Software Development Lifecycle (SDLC). Adding strict, compliance-based static analysis — as provided by Helix QAC — as new stages to existing GitLab CI/CD pipelines will enhance the SDLC still further, and move your DevOps workflows from Continuous Integration to Continuous Compliance.

Empowering Analytics Teams: Qlik AutoML's Next Evolution

In today's data-driven business landscape, the ability to predict trends, explain drivers, and act on insights is no longer a luxury—it's a necessity. Yet for many organizations, the path from data to predictive intelligence remains challenging. Data science resources are scarce, and traditional tools often require specialized expertise that most analytics teams lack. At Qlik, we believe that the power of predictive analytics should be accessible to all.

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.

Boosting Kubernetes Developer Productivity: Top Tools and Strategies for Efficient Development

Developer productivity is not just about writing code faster—it’s about creating efficient, self-service environments that minimize friction and reduce the time from development to deployment. In the context of Kubernetes clusters, enhancing productivity means leveraging the right tools and workflows to streamline development, reduce errors, and speed up feature releases. This guide explores the key strategies and tools that can significantly boost productivity in Kubernetes environments.

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.

Common Types of Software Architecture

When referring to common types of software architecture, often people refer to the general blueprint or structure that software developers follow when building applications. Relying on common architectural styles makes it easier for project managers and programmers to make products efficiently. Development teams can choose software architecture patterns they know can offer the functionality they need.

How To Switch From Jest To Vitest For Better Node.Js Testing

Jest and Vitest are two well-known JavaScript testing frameworks, each with its own strengths. Jest, created by Facebook, is especially popular for React applications. It provides a "zero-config" setup, built-in code coverage reporting, and snapshot testing, making it a complete solution for many JavaScript projects. Vitest, a newer framework in the Vite ecosystem, is known for its speed and lightweight design. Using Vite’s dev server, Vitest performs very well, especially in larger projects.