Cribl announced that Cribl Edge, a highly-scalable edge-based data collection system, is now available in AWS Marketplace as an Amazon Elastic Kubernetes Service (Amazon EKS) add-on.
AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). As part of Cribl’s relationship with AWS, this milestone helps developers to seamlessly share Amazon EKS data between security and operations teams, optimize observability data collection, and route data to multiple destinations.
Cribl Edge creates a self-service data collection and routing process in EKS, and offers a consistent experience for developers and SREs. Cribl Edge is designed to support today’s modern distributed architectures, giving users the flexibility and control to send data anywhere, instead of being locked in to a single destination. Its intelligent agent efficiently gathers and auto-discovers observability data at its egress point to provide additional cost-effective options for data collection and processing.
Now available as an add-on for Amazon EKS, a managed K8s service to run K8s on AWS and on-premises data centers, users can seamlessly implement observability into new and existing Amazon EKS environments and gain the following benefits of Cribl Edge:
- Simplify data collection by automatically collecting logs, metrics, and application data at scale.
- Reduce vendor lock-in with centrally managed, configured, and version-controlled solution for easy expansion and low cost of ownership.
- Utilize built-in Fleet Management to effortlessly manage tens of thousands of edge nodes.
“Cribl is committed to providing customers with greater choice and control over their data, and this integration with Amazon EKS ensures customers have access to the right tools to manage data collection at scale,” said Ledion Bitincka, Co-Founder & CTO at Cribl. “As the volume of data continues to grow every year, the ability to collect the right data without installing, configuring, and managing multiple, independent agents is critical, and Cribl Edge provides users a seamless solution to achieve the visibility required to manage data collection at scale.”
The Latest
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
