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Calyptia Releases Fluent Bit v2

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.

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Calyptia Releases Fluent Bit v2

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...