Think about what Netflix did and what Blockbuster didn’t. Similar to Blockbuster, Netflix started with physical distribution, mailing DVDs to their subscribers. Then, they took a leap of faith —moving into streaming and diverting focus from their primary business. It worked out well for them. Companies that do not innovate become obsolete and the costs of just “keeping the lights on” may have devastating effects on the business. Future-proofing IT investments is critical to keep the business agile so it can adapt to market changes.
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Francis Edwards, Integration Analyst at Saint-Gobain and MuleSoft Ambassador, is an experienced MuleSoft developer. He spoke at MuleSoft CONNECT:Now EMEA sharing useful integration tools to help developers get the most out of Anypoint Studio. Below, he provides insight into each tool he recommends as well as demonstrates how he created a Mule app.
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Are you new to MuleSoft? No problem! In this blog, we’ll highlight some of the best resources for getting started — like learning how to create your first API and integration using MuleSoft’s Anypoint Studio. Even if you have no coding experience, these tutorials will explain how easy it is to build your first API using MuleSoft.
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More Mule customers are adopting MuleSoft Runtime Fabric. This mini-series covers several Runtime Fabric topics — including how to install, configure, test, and troubleshoot Runtime Fabric. Part one of the series will cover the Runtime Fabric installation on AWS.
The AWS Runtime Fabric install process is different from the traditional software install. With the traditional software install, users start with provisioning of the servers that will host the software.
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I’m excited to announce our new release of Anypoint Runtime Fabric which adds support for running on Amazon Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS). This release allows your operations teams to take advantage of your cloud provider’s managed Kubernetes services to run Mule APIs and integrations with a lower infrastructure footprint and with greater control.
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Thank you to everyone who participated in the first-ever MuleSoft Hackathon! It was fantastic seeing all of your projects and the creativity you brought to our Community using MuleSoft. After careful deliberation and reviews by internal and external judges, we are happy to announce our top three winners, as well as 10 runner-ups.
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MuleSoft provides two types of load balancers, shared load balancer, and dedicated load balancer to distribute API traffic deployed on the MuleSoft cloud workers. Shared load balancer is multi-tenant and shared with other customers. Dedicated load balancers enable you to deploy and configure one or more custom load balancers within your Anypoint Virtual Private Cloud (Anypoint VPC). The aim of load balancing is to optimize the use of API instances available, maximize throughput,
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Observability is a comprehensive set of capabilities around logging, analytics, monitoring, troubleshooting, and measurement of a system. Here the term system is broadly used to indicate platform, runtimes, and applications. Observability plays a consequential role in providing the real-time pulse of a system. Lacking observability in a system would be similar to flying an aircraft without a fuel indicator.
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One of the most valuable characteristics of DataWeave is that it is a functional programming language. This means it is dynamically able to solve problems with various approaches — one being currying, which is a common feature of functional programming languages like Haskel (from where it derives), and JavaScript.
In this post, I’ll explain what currying is and how to write curried functions in DataWeave.
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For the last few decades, application and operational teams have been preaching loudly about monitoring and alerting capabilities to improve system resiliency. It is only with COVID-19, however, that these capabilities have shifted from “luxury” items to “absolutely necessary” capabilities to ensure business continuity.
As businesses take the next steps to refine their monitoring and alerting capabilities, it is critical that all stakeholders understand and utilize the same frameworks and metrics.
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