News and views plus tech tips and coding tricks from the QuadCorps team
Reduce Technology Spend While Improving Business Outcomes Controlling technology spend is the highest priority for most CTO’s and CIO’s in 2024. Cost have spiralled over the last four years. Inflation, Covid and the recent energy crisis are some of the drivers of increased costs. Inflation hit a forty-one year high in October 2022. Interest rates …
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Welcome back, integration enthusiasts! After delving into the depths of the Scatter-Gather pattern with its distribution style, it’s time to move on to the next captivating integration pattern. As promised, today we will explore the Auction variant of the Scatter-Gather pattern from Gregor Hohpe and Bobby Woolf’s influential work, Enterprise Integration Patterns..
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QuadCorps enters the AI space with offerings focused on RAG to complement API, integration and automation expertise.
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After splitting our shipment into byte sized packages, someone has to clean up this logistical nightmare and put it all back together again. Cue The Aggregator and how this can be implemented by MuleSoft.
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After splitting our shipment into byte sized packages, someone has to clean up this logistical nightmare and put it all back together again. Cue The Aggregator and how this can be implemented by MuleSoft.
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ENTERPRISE INTEGRATION PATTERNS IN MULE Patterns, patterns everywhere One of the most influential books on integration is Enterprise Integration Patterns by Gregor Hohpe and Bobby Woolf. Many of the integration patterns and functionality you see in integration middleware today stands on the shoulders of these patterns. I’ll be launching a series of posts that demonstrate …
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Challenges in consistent property file structure One of our amazing clients, who utilises MuleSoft, recently transitioned to a new YAML property file. This file serves a dual purpose, supporting both local development and Helm deployments by providing properties as environment variables to applications running on Azure Kubernetes Service (AKS).
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In recent years, there has been a significant paradigm shift in the platform landscape towards containerization, and its orchestration using Kubernetes (k8s). The need for observability in this new distributed architecture has become non-negotiable. But due to the complexity and size of these architectures vast amounts of observability data is being generated which then needs …
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