Message Oriented Middleware

2020. Confluent introduces scale on demand for Apache Kafka cloud customers

Confluent introduced a new scale-on-demand feature for its Apache Kafka cloud service that will scale up and down as needed, automatically. Elasticity is arguably one of the most important features of cloud computing, and this ability to scale up and down is one of the primary factors that has attracted organizations to the cloud. By automating that capability, they give DevOps one less major thing to worry about.

2015. Enterprise cloud infrastructure service raises $8M, the developer of IronMQ message queue service and the IronWorker worker platform for running parallel tasks at scale, today announced that it has raised a $8 million Series A. At its core, services are meant to make it easier for developers to adopt a microservices architecture — that is breaking down traditionally complex applications into smaller, more manageable independent parts that talk to each other over APIs. The service is pretty much agnostic as to where these applications run and can hence be used no matter whether a service runs on premises, in a public or private cloud, or in a hybrid cloud environment. says the new funding will go to growing the company’s teams in engineering, sales, marketing and customer support (that’s all of the company, basically).