Cloudflare, the connectivity cloud company, has acquired Baselime, the cloud-native observability platform. By integrating Baselime’s technology, Cloudflare will be positioned to combine its knowledge of serverless platforms and developer experience to solve the observability challenges for serverless apps.
In a press note, Matthew Prince, co-founder and CEO of Cloudflare, stated that close to two million developers building on Cloudflare trust the platform to help scale their apps globally. However, they can still struggle to understand cloud applications’ behaviour.
With this acquisition, Cloudflare enters the observability market to enable developers to deploy services in production. This allows teams to identify when a release has gone wrong and needs to be rolled back, investigate bugs and regressions, optimise performance, and more.
Developers will also benefit from the ability to optimize the cost of their serverless applications by understanding the rate of requests made and analysing sources of latency.
Prince added that to be a leading developer platform, it is now essential to have the best observability tools built in. He added that Baselime has raised the standard for serverless observability.
Today, applications are built on serverless architectures, from computing to databases, storage, and queues. Nevertheless, observability is often regarded as one of the weaknesses of serverless architectures — trading off visibility into the application’s behaviour for a scalable infrastructure that doesn’t need to be managed.
With this acquisition, Baselime will be integrated into Cloudflare’s developer platform, helping developers push the boundaries of modern observability by analysing their observability data across multiple fields and values to surface errors, requests, and performance issues for users or even across their applications.
It can also adopt and enable OpenTelemetry-based tools and standards to facilitate integration with diverse application frameworks and cloud providers. These tools and standards enable developers to easily instrument their applications for rich observability data, making it easier to troubleshoot issues quickly, whether they impact a single user, a subset of users, or the entire application.
Thanks to improvements in developer experience, it can also extract insights from observability data, including real-time error tracking based on logs and traces, actionable alerts, trace diagrams and timelines, an approachable query engine, and an AI debugging assistant.
