Systems | Development | Analytics | API | Testing

DORA Metrics for DevOps: Connecting Software Team Results to Business Goals

Measuring DevOps success? You need to use DORA metrics from the DevOps Research and Assessment (DORA) framework. These metrics help software teams get better over time. Think of DORA metrics like the stats used in Formula One racing. In Formula One, teams collect and analyze thousands of metrics before and during each race to optimize car setups, detect potential failures early, and refine strategies for peak performance.

Quality Horizon | S2E2 | The hidden costs of test maintenance & strategies to lower the burden

Automating a handful of tests is easy, but when you're dealing with thousands of test cases, maintenance becomes a whole different ball game. If you don't stay on top of it, the benefits of automation can quickly be wiped out by the time and effort spent keeping everything running smoothly.

Quality Horizon | S2E3 | Streamlining QA with functional and performance testing integration

Join Danielle Forier, Quality Assurance Practitioner & Product Owner, as she shares the journey of how her QA team transformed their testing strategy by integrating functional and performance testing. Discover how reusable scripts and the right tools helped them achieve seamless workflows, greater efficiency, and the scalability needed to manage a growing and complex product portfolio. This session is packed with actionable insights designed for QA practitioners looking to optimize their testing processes and future-proof their tech stack in the face of increasing complexity.

AI Data Management: Best Practices & Tools

Artificial Intelligence (AI) is transforming the way businesses manage, process, and analyze data. AI Data Management involves the use of machine learning (ML), automation, and intelligent data pipelines to enhance data storage, governance, integration, and security. As organizations deal with ever-growing datasets, AI-driven data management solutions ensure efficiency, scalability, and accuracy.

Databricks Data Management Demystified for 2025

In the modern data-driven landscape, enterprises require robust platforms to handle massive volumes of structured and unstructured data efficiently. Databricks, a unified analytics platform built on Apache Spark, has emerged as a leader in data management, offering high-performance computing, collaborative workspaces, and seamless integrations with cloud providers. In this blog, we explore how Databricks transforms data management, its core components, and best practices for optimizing data pipelines.

Google Data Management: A Data Integration Perspective

Managing and integrating data efficiently is a critical requirement for businesses dealing with multi-source, real-time, and large-scale datasets. Google Data Management provides a scalable, cloud-native ecosystem designed for seamless data integration, transformation, and governance. This blog explores Google’s data integration solutions, including ETL/ELT pipelines, real-time data streaming, and AI-powered automation for enterprise-grade data workflows.

Agentic AI Needs an API Backbone: Cultivating Discipline & Governance for Scalable Success

For organizations seeking to leverage agentic AI, the journey begins with a steadfast commitment to discipline and governance. This talk underscores that the true foundation of success in agentic AI adoption is a culture that values structured API capabilities and a rigorous approach to digital integration. By fostering disciplined practices and robust governance frameworks, businesses can establish the resilient API foundations necessary for automating complex processes and scaling AI-driven initiatives.

Get the speed you need with our new Linux portfolio

Mobile app developers are obsessed with speed for one simple reason - their customers are too! We expect a lot from the apps we use. They've got to load super fast, always stay up to date, and offer a steady stream of valuable features. For developers, this means relentless pressure to reduce build times and drive efficiency to stay competitive.