Serverless: Thundra Adds Observability to AWS Lambda
As many developers testing out serverless applications are finding, legacy tools and methods offer little to no ability to find where things go wrong, and so new tools and methods are needed.
This is precisely the problem that lead to the creation of Thundra, an observability solution for serverless environments that is launching out of beta this week, in conjunction with the announcement of AWS Lambda Layers and the Runtime API this week at AWS re:Invent. Thundra offers traces, metrics and logs for AWS Lambda applications, further extending the capabilities of AWS X-Ray. According to chief technology officer and founder Serkan Özal, Thundra was born out of his time using AWS Lambda at OpsGenie, which Thundra officially spun out from after its acquisition by Atlassian.
“We were using AWS Lambda for OpsGenie and wanted to monitor the application, but we just couldn’t find a monitoring solution,” said Özal. “Cloudwatch metrics are not feasible to pinpoint a problem in production, and so we built and used Thundra internally and saw there was a gap for service monitoring for AWS Lambda.”
As part of the company’s general availability release, Thundra is announcing Thundra Layers, which is a custom runtime implemented on top of the new AWS Runtime API feature. Thundra Layers can be added to serverless applications on AWS Lambda without any alteration of existing code, Özal explained, and be up and running in minutes providing observability into your applications, even across multiple AWS Lambda functions and accounts. Previously, users would need to download, install, and manually set up Thundra, but Thundra Layers makes installation as easy as selecting the option, setting some configuration options, and getting going.
“Serverless is being rapidly adopted by the enterprise, with some sources indicating that 46 percent of IT decision makers are now using or evaluating the technology,” said Özal in a statement. ”But the key to the success of these projects will, in large part, be contingent upon each team’s ability to implement and use observability technology to quickly pinpoint critical performance issues, course-correct and solve them without guesswork.”
Thundra vice president of marketing Christina Wong further explained that Thundra was built with flexibility in mind, offering both synchronous and asynchronous monitoring, offering users the ability to run Thundra Layers in a virtual private cloud or without adding additional costs in the form of compute.
Wong also emphasized the startup’s achievement of Advanced Technology Partner status with AWS, which she said allows the company to more closely align with Amazon AWS, as well as provide “additional confidence to AWS customers in Thundra’s ability to support and deliver reliable and secure enterprise serverless monitoring capabilities,” according to the Thundra statement.
.@awscloud #Lambda's new #Layers provides a way to bring external binaries, libraries, runtimes, dependencies into #serverless jobs. Already @NodeSource @twistlockteam @datadoghq @thundraio have contributed supporting services — @Werner #AWSreInvent2018 pic.twitter.com/znp1jS1Y7u
— The New Stack (@thenewstack) November 29, 2018