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Cribl Achieves Amazon Linux 2 Ready Designation

Cribl achieved the Amazon Linux 2 Ready designation, part of the Amazon Web Services (AWS) Service Ready Program.

This designation recognizes that Cribl LogStream has been validated to run on and support Amazon Linux 2.

Achieving the Amazon Linux 2 Ready designation differentiates Cribl as an AWS Partner with a generally available product that runs on Amazon Linux 2 and is fully supported for AWS customers. AWS Service Ready Partners have demonstrated success building products integrated with AWS services, helping AWS customers evaluate and use their technology productively, at scale and varying levels of complexity.

"Cribl is happy to have achieved the AWS Service Ready status, allowing users to deploy LogStream with confidence on Amazon Linux 2," said Clint Sharp, CEO of Cribl. "This designation helps us support customers on their observability journeys with the speed, stability and security AWS provides."

To support the seamless integration and deployment of these solutions, AWS established the AWS Service Ready Program to help customers identify products integrated with AWS services and spend less time evaluating new tools, and more time scaling their use of products that are integrated or run on select AWS Services. Amazon Linux 2 is the next generation of Amazon Linux, a Linux server operating system from AWS. It provides a secure, stable, and high-performance execution environment to develop and run cloud and enterprise applications.

Cribl LogStream is a purpose-built observability pipeline for logs, metrics and traces that allows customers to shape, route, enrich and ultimately take control of their data from any source to any destination. This stream processor solution works anywhere as either software or a SaaS solution.

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Cribl Achieves Amazon Linux 2 Ready Designation

Cribl achieved the Amazon Linux 2 Ready designation, part of the Amazon Web Services (AWS) Service Ready Program.

This designation recognizes that Cribl LogStream has been validated to run on and support Amazon Linux 2.

Achieving the Amazon Linux 2 Ready designation differentiates Cribl as an AWS Partner with a generally available product that runs on Amazon Linux 2 and is fully supported for AWS customers. AWS Service Ready Partners have demonstrated success building products integrated with AWS services, helping AWS customers evaluate and use their technology productively, at scale and varying levels of complexity.

"Cribl is happy to have achieved the AWS Service Ready status, allowing users to deploy LogStream with confidence on Amazon Linux 2," said Clint Sharp, CEO of Cribl. "This designation helps us support customers on their observability journeys with the speed, stability and security AWS provides."

To support the seamless integration and deployment of these solutions, AWS established the AWS Service Ready Program to help customers identify products integrated with AWS services and spend less time evaluating new tools, and more time scaling their use of products that are integrated or run on select AWS Services. Amazon Linux 2 is the next generation of Amazon Linux, a Linux server operating system from AWS. It provides a secure, stable, and high-performance execution environment to develop and run cloud and enterprise applications.

Cribl LogStream is a purpose-built observability pipeline for logs, metrics and traces that allows customers to shape, route, enrich and ultimately take control of their data from any source to any destination. This stream processor solution works anywhere as either software or a SaaS solution.

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Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

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Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...