Economical Observability Starts with Smarter Data Management
Eliminate noisy data and reduce costs with
Logz.io’s Data Optimization Manager.
Learn how Dish Network removed 62% of their observability data by filtering out noisy data.
Most telemetry data collected with monitoring and observability tools today is never actually used – creating noisy observability environments and needlessly high ingestion and storage costs.
That’s why we built Data Optimization Manager – a set of capabilities designed to eliminate the noise and focus on the data that matters most, including:
- Self-service tools – to identify and filter out unneeded data yourself.
- Hands-on expertise – to help you better understand which data is valuable, and what can be removed.
- Data storage optimization – to reduce storage costs.
Within the Logz.io platform, take data removal into your own hands with tools designed to quickly find and remove unneeded data:
- Pattern recognition: turn millions of log lines into tens by clustering similar logs into groups – making it easy to spot duplicated logs or noisy data that doesn’t contain useful information.
- Easy-to-use data filters: easily remove unneeded data with dynamic data filters that can be turned on and off with a click – all in one place.
- Data volume monitoring and caps: gain visibility and control over your data volumes by monitoring data usage and capping specific data sets.
Logz.io engineers are always available to provide direct support to customers seeking to remove or declutter noisy data, including:
- Data review: get a second eye from experienced Logz.io engineers to help you understand which data is valuable, and what can be discarded.
- Dashboards filtering: why pay for metrics data you don’t monitor? We can filter out all your metrics that aren’t being monitored on specific dashboards.
- Sampling advice: unsure of what trace sampling to implement? We’ll help you decide the best sampling method for your use case.
Distribute data across multiple Logz.io storage tiers depending on your organization’s specific search performance and cost preferences:
- Real-time Tier: High-availability and high-performance log storage for your recent logs.
- Smart Tier: As logs age, move them to the more cost efficient Smart Tier – without any impact on search performance.
- Historical Tier: Use cheap cloud storage (S3 or Blob) to archive logs for long periods — reingest them back into Logz.io at any time.