Oodle is a fast, fully managed serverless metrics observability platform. It offers radically better simplicity, and debugging speed at a third of the cost. Try for free in seconds. Migrate in minutes.
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This is based on learnings with 100+ technical decision makers and buyers. This guide improves awareness for Observability decision makers to help them establish the evaluation criteria for various competitive offerings.
Dive into how technical decision makers and buyers can navigate the build vs buy dilemma. The key points of consideration are cost-efficiency, vendor lock-in, linear pricing models, migration simplicity, and open source compatibility.
Dive into our benchmarks and compare Oodle against alternatives like Prometheus, Thanos, Cortex, Mimir, and Victoria Metrics for cost-efficiency, resource usage, and performance.
Learn more about Oodle’s security practices and compliance. We will cover topics like security governance, data center security compliance and privacy, personnel security, product security and penn testing reports.
AWS/GCP/Azure Managed Prometheus have challenges around exploding costs, lack of support for complex queries, and high cardinality metrics. Explore how Oodle solves these problems with zero management overhead.
Oodle is a drop-in replacement for Prometheus at scale. Whether you are running managed prometheus or self-hosted, our serverless, fully managed offering provides best price performance at any scale with zero management overhead.
Self-hosted observability solutions (e.g. Prometheus, Thanos, Grafana Mimir) do work well at low scale. However, as soon as you hit any meaningful scale (> 1 to 2 million active time series / hour), they cause a lot of management overhead.
Most observability solutions require you to block high cardinality metrics, and downsample metrics to keep costs under control. With Oodle, you can have the cake and eat it too! (just like Snowflake). You just send everything, fire any query - it just works!
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