Chronosphere is launching the Observability Data Optimization Cycle, a vendor-neutral framework.
The framework helps companies regain control over observability data growth.
Chronosphere is also introducing new product features to support this framework, enabling teams to better understand and optimize the management of their cloud observability resources.
The Observability Data Optimization Cycle helps organizations overcome these challenges by enabling them to better understand and take action on the cost of their observability data through new features that support a process consisting of Analyzing, Refining and Operating:
- Centralized Governance: Provides engineering teams with broader authority to control data growth and predictability by enabling the Central Observability Team (COT) with information on how much data each team is using. It also assigns licensed capacity to individual teams so they can each prioritize based on their allotted amount of data.
- Usage Analyzer: Allows teams to view the cost and value of their data side by side, illustrating how and where the data is used, the volume of data used over a specific period of time, and which engineers are using the data.
- Shaping Policy UI: Helps teams preview the impact of shaping policies before implementing them so they can make adjustments when necessary.
- Derived Metrics: Makes metrics more straightforward by allowing organizations to store complex, high-value queries with more user-friendly names and visualizations.
"As more organizations adopt cloud native architectures, engineers are drowning in the massive amount of observability data that comes with it," said Martin Mao, CEO of Chronosphere. "This is causing an explosion in observability costs, while simultaneously overwhelming engineers in the troubleshooting process, leading to longer incidents and unhappy customers. Our new framework and features helps organizations achieve the best possible observability outcomes while keeping costs under control."
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