
Calyptia announced the release of Fluent Bit v2, the Cloud Native Computing Foundation (CNCF) open-source project for the collection, processing and delivery of logs, metrics and traces.
With Fluent Bit deployed over three billion times and in use by major cloud providers such as AWS, Google and Azure, Fluent Bit v2 adds major new observability integrations with full support for OpenTelemetry, Prometheus Metrics and added extensibility with WebAssembly plugins.
With the growth and standardization of OpenTelemetry for distributed tracing, Fluent Bit’s new integration for OpenTelemetry allows users to capture OpenTelemetry traces, metrics and logs as well as route data to any OpenTelemetry compatible endpoint. This routing also includes using the OpenTelemetry protocol. Additionally, with millions of users running Prometheus and OpenMetrics in production, Fluent Bit can also be used to retrieve and route that data in native Prometheus format. These additions and integrations build on Fluent Bit’s commitment to being the vendor-neutral solution for enterprise observability pipelines.
Fluent Bit is used to gather the massive amounts of telemetry data produced by modern cloud-native applications, process that data, and then deliver it to various other applications and systems for storage and analysis. Fluent Bit has always taken a vendor-neutral approach to the systems and applications with which it integrates, supporting competing industry telemetry standards and allowing users to interoperate freely in the rapidly evolving observability marketplace.
Earlier this month, Fluent Bit surpassed three billion downloads and deployments, making it one of the most valuable open-source projects in the observability space.
“Fluent Bit v2 is the most significant release ever for the project,” said Fluent Bit creator and Calyptia CEO Eduardo Silva. “Fluent Bit is the new standard agent on most cloud providers. As the project’s primary maintainers, Calyptia is dedicated to making Fluent Bit the fastest and lowest resource utilization solution to drive observability data pipelines, but Fluent Bit v2 would not have been possible without others like Microsoft and Observe, Inc. who also made significant contributions to this release. Fluent Bit is a great example of how open-source communities work together for a common solution.”
The new release also includes a feature called Tap that allows users to see in real time exactly how their observability data is transformed at any stage in its journey.
Fluent Bit v2 also improves the developer experience by allowing them to extend Fluent Bit by writing plugins in Go or WebAssembly (Wasm).
Other enhancements include additional security options that allow for data encryption throughout the data pipeline as well as performance improvements.
The Latest
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...