DataBahn
DataBahn is a cutting-edge platform designed to utilize artificial intelligence for the effective management of data pipelines while enhancing security measures, thereby streamlining the processes involved in data collection, integration, and optimization from diverse sources to multiple destinations. Featuring an extensive set of more than 400 connectors, it makes the onboarding process more straightforward and significantly improves data flow efficiency. The platform automates the processes of data collection and ingestion, facilitating seamless integration even in environments with varied security tools. Additionally, it reduces costs associated with SIEM and data storage through intelligent, rule-based filtering that allocates less essential data to lower-cost storage solutions. Real-time visibility and insights are guaranteed through the use of telemetry health alerts and failover management, ensuring the integrity and completeness of collected data. Furthermore, AI-assisted tagging and automated quarantine protocols help maintain comprehensive data governance, while safeguards are implemented to avoid vendor lock-in. Lastly, DataBahn's flexible nature empowers organizations to remain agile and responsive to the dynamic demands of data management in today's fast-paced environment.
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groundcover
A cloud-centric observability platform that enables organizations to oversee and analyze their workloads and performance through a unified interface.
Keep an eye on all your cloud services while maintaining cost efficiency, detailed insights, and scalability. Groundcover offers a cloud-native application performance management (APM) solution designed to simplify observability, allowing you to concentrate on developing exceptional products. With Groundcover's unique sensor technology, you gain exceptional detail for all your applications, removing the necessity for expensive code alterations and lengthy development processes, which assures consistent monitoring. This approach not only enhances operational efficiency but also empowers teams to innovate without the burden of complicated observability challenges.
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Cribl Stream
Cribl Stream enables the creation of an observability pipeline that facilitates the parsing and reformatting of data in real-time before incurring costs for analysis. This tool ensures that you receive the necessary data in your desired format and at the appropriate destination. It allows for the translation and structuring of data according to any required tooling schema, efficiently routing it to the suitable tools for various tasks or all necessary tools. Different teams can opt for distinct analytics platforms without needing to install additional forwarders or agents. A staggering 50% of log and metric data can go unutilized, encompassing issues like duplicate entries, null fields, and fields that lack analytical significance. With Cribl Stream, you can eliminate superfluous data streams, focusing solely on the information you need for analysis. Furthermore, it serves as an optimal solution for integrating diverse data formats into the trusted tools utilized for IT and Security purposes. The universal receiver feature of Cribl Stream allows for data collection from any machine source and facilitates scheduled batch collections from REST APIs, including Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIs, streamlining the data management process. Ultimately, this functionality empowers organizations to enhance their data analytics capabilities significantly.
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Splunk Observability Cloud
Splunk Observability Cloud functions as a comprehensive solution for real-time monitoring and observability, designed to provide organizations with thorough visibility into their cloud-native infrastructures, applications, and services. By integrating metrics, logs, and traces into one cohesive platform, it ensures seamless end-to-end visibility across complex architectures. The platform features powerful analytics, driven by AI insights and customizable dashboards, which enable teams to quickly identify and resolve performance issues, reduce downtime, and improve system reliability. With support for a wide range of integrations, it supplies real-time, high-resolution data that facilitates proactive monitoring. As a result, IT and DevOps teams are equipped to detect anomalies, enhance performance, and sustain the health and efficiency of both cloud and hybrid environments, ultimately leading to improved operational excellence. This capability not only streamlines workflows but also fosters a culture of continuous improvement within organizations.
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