Reducing the volume of your observability data can help you control licence compliance, reduce your infrastructure budget, and improve the performance of your analytics tools.
Cribl Stream helps you get control over increasing data volumes by letting you trim unused data. Tune out the noise and focus on the signal.
Learn how to:
- Eliminate noise and analyse signals
- Improve performance of your analytics systems
- Separate your systems of analysis and retention
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Frequently Asked Questions
What is observability?
Observability serves as a vital concept, aiming to empower organisations with profound insights derived from collected data. By diagnosing and resolving performance issues early on, it ensures potential problems don’t escalate.
With numerous microservices deployed across various cloud and on-premise environments, the complexity of data pipelines hinders a clear understanding of real-world system and application performance.
To create the perfect observability solution, adopting a similar approach used for security is key. Just like acquiring security components and tailoring them to meet specific needs, observability demands starting with a defined goal and working backward.
Recognising that each company’s requirements differ, there are no one-size-fits-all observability solutions. Organisations must embrace a customised approach to address their unique needs effectively.
This approach enables IT and security teams to investigate system behavior without constraints imposed by outdated methods and products. Ultimately, it offers greater control over the level of visibility required to excel.
What are the benefits of observability?
- Enables control of the growing volumes of data.
- Simplifies data collection.
- Helps monitor data trends.
- Prevents a holistic view of your enterprise.
- Reduces data storage costs.
- Enhances data security.
- It helps users extract answers from their data.