
New Relic announced expanded support for monitoring multi-language development environments and modern applications using the Go programming language (or Golang).
With the addition of Go, New Relic has broad agent coverage, supporting seven programming languages out of the box including Java, .NET, Node.js, PHP, Python, and Ruby.
Originally developed within Google, Go is an open source programming language that has become an increasingly popular option for companies looking to move to cloud and microservices architectures. Golang’s concurrency model, simple deployments, and runtime efficiency enable applications to scale elegantly, and help companies increase the velocity of deployments and ultimately innovate faster. Analyst firm RedMonk reported in their bi-annual 2016 RedMonk Programming Language Rankings (January 2016) that Go has risen significantly in popularity and ranked 15th at the end of 2015.
As Go is adopted by companies to modernize services written in other languages or build new applications, these companies want the same level of production visibility into their Go applications as they currently have with applications built with other programming languages. With New Relic’s support for Go, developers can get started quickly instrumenting and monitoring their applications with New Relic APM. As with New Relic’s other language agents, with just a few lines of code, a Go application will report runtime metrics, transaction tracing, and other real-time metrics vital for software teams to understand the health and performance of that application.
“New Relic was founded with the belief that all things must be monitored across the software stack and has been a leader in delivering a polyglot cloud-based APM solution,“ said Belinda Runkle, VP of Engineering for APM, New Relic. “From enterprises working to modernize applications to fast growing startups, we’re seeing Golang as an increasingly popular option for companies looking to quickly build flexible applications. Today we’re giving our customers a first-class monitoring experience with real-time performance data from their Go applications often within minutes.“
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