How Aon Uses Delivery Value Chains to Overcome Delivery Complexity and Maximize Value

Many applications and software engineering leaders tell us that, despite having skilled teams and making significant investments in the delivery pipeline, they still struggle to maximize customer value. While there can be many causes for this, it often comes down to the growing complexity of the delivery ecosystem. The large number of teams and roles involved in delivering software capabilities causes value erosion when there are inefficient handoffs or conflicting priorities

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Why Run Postgres in Kubernetes?

Enterprise-level features have been consistently added year after year, one major release after the other, including Standard SQL, transactional DDL, continuous backup, point-in-time recovery (PITR), native streaming

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How building a cloud-native digital business just got simple as SaaS

Digital transformation has become even more critical over the past few years. However, most companies are still struggling to succeed. To be fair, it’s not that these transformations are completely failing. They’re just not meeting all the expectations of business leadership. In particular, these initiatives are not being delivered fast enough on top of what’s perceived as a prerequisite for success: a cloud-native digital platform for hosting and managing APIs, services, and integrations.

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DataOps for the modern data warehouse

This text outlines a data solution for city planning involving a fictional city, using an end-to-end data pipeline following the MDW architecture. The pipeline includes Azure services for data orchestration and storage, with DevOps and DataOps processes for data analysis. This solution helps assess parking usage, aiding in informed decision-making.

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