List of the Top 3 Telemetry Software for Suricata in 2025
Reviews and comparisons of the top Telemetry software with a Suricata integration
Below is a list of Telemetry software that integrates with Suricata. Use the filters above to refine your search for Telemetry software that is compatible with Suricata. The list below displays Telemetry software products that have a native integration with Suricata.
Application Performance Management
Achieve a thorough understanding of your application's health and performance metrics. Identify and address performance challenges seamlessly across the entire stack without the drawbacks of sampling or any blind spots.
Log Analytics
Effortlessly search and interpret event data spanning your applications, infrastructure, security, or business aspects without the hassle of indexing, data tiers, retention policies, or associated costs, ensuring all log data remains readily accessible.
Infrastructure Monitoring
Collect and analyze metrics throughout your infrastructure—whether it be cloud, Kubernetes, serverless environments, or through over 400 pre-built integrations. Gain insights into the entire stack and troubleshoot performance issues in real-time for optimal efficiency.
O11y AI
Accelerate incident investigation and resolution with O11y Investigator, utilize natural language to delve into observability data through O11y Copilot, effortlessly create Regular Expressions with O11y Regex, and get accurate information with O11y GPT, enhancing your operational effectiveness.
Observe for Snowflake
Gain extensive observability into Snowflake workloads, allowing you to fine-tune performance and resource usage while ensuring secure and compliant operations. With these tools, your organization can achieve a higher level of operational excellence.
Utilize the most widely adopted observability platform, built on the robust Elastic Stack, to bring together various data sources for a unified view and actionable insights. To effectively monitor and derive valuable knowledge from your distributed systems, it is vital to gather all observability data within one cohesive framework. Break down data silos by integrating application, infrastructure, and user data into a comprehensive solution that enables thorough observability and timely alerting. By combining endless telemetry data collection with search-oriented problem-solving features, you can enhance both operational performance and business results. Merge your data silos by consolidating all telemetry information, such as metrics, logs, and traces, from any origin into a platform designed to be open, extensible, and scalable. Accelerate problem resolution through automated anomaly detection powered by machine learning and advanced data analytics, ensuring you can keep pace in today’s rapidly evolving landscape. This unified strategy not only simplifies workflows but also equips teams to make quick, informed decisions that drive success and innovation. By effectively harnessing this integrated approach, organizations can better anticipate challenges and adapt proactively to changing circumstances.
Innovating in the cloud allows for faster development, enhanced user experiences, and ensures that applications remain relevant for the future. Splunk is specifically tailored for cloud-native businesses, offering solutions to present-day challenges. It enables you to identify issues proactively before they escalate into customer complaints. With its AI-driven Directed Troubleshooting, the mean time to resolution (MTTR) is significantly reduced. The platform's flexible, open-source instrumentation prevents vendor lock-in, allowing for greater adaptability. By utilizing AI-driven analytics, you can optimize performance across your entire application landscape. To deliver an exceptional user experience, comprehensive observation of all elements is essential. The NoSample™ feature, which facilitates full-fidelity trace ingestion, empowers you to utilize all trace data and pinpoint any irregularities. Additionally, Directed Troubleshooting streamlines MTTR by rapidly identifying service dependencies, uncovering correlations with the infrastructure, and mapping root-cause errors. You can dissect and analyze any transaction according to various dimensions or metrics, and it becomes straightforward to assess your application's performance across different regions, hosts, or versions. This extensive analytical capability ultimately leads to better-informed decision-making and enhanced operational efficiency.
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