Calyptia announced the immediate availability of Calyptia Fluent Bit in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that makes it easy to find, test, buy and deploy software that runs on Amazon Web Services (AWS).
Calyptia Fluent Bit is a long-term support version and professional services plan for enterprises running Fluent Bit as part of their IT infrastructure. Calyptia CEO and co-founder Eduardo Silva is the creator of Fluent Bit, an open-source engine for enterprise observability of logs, metrics and traces, with over three billion deployments. Fluent Bit collects, processes and routes event data from any source to any destination–even multiple destinations–for storage and analysis. It is a vendor-neutral solution and supports all major data backends.
“Many enterprises are attracted to the transparency and innovation of open-source software but balk at the adoption because of the frequency and often unpredictability of updates from the community,” Silva said. “Calyptia Fluent Bit provides them with a security-hardened, stable version of Fluent Bit, a predictable upgrade schedule, and the assurance that all security updates, patches and bug fixes will be applied quickly by a support team dedicated to the product.”
Fluent Bit is already supporting AWS services such as Amazon Elastic Kubernetes Service (Amazon EKS), where its used to send logs to Amazon CloudWatch. Calyptia Fluent Bit’s availability in AWS Marketplace helps customers to remove technical and operational hurdles and focus on actionable insights gleaned from their observability pipeline.
Calyptia’s ability to process and filter data closer to its source allows companies to save by routing non-essential data to lower-cost solutions.
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 ...