Modern applications face new challenges, e.g. highly distributed architectures, fast release cycles, ephemeral infrastructure, no room for planned downtime, stringent data regulations, etc.
CubeAPM is built from the ground up to solve these challenges by optimizing deeply for the observability use case and designing efficient algorithms like Smart Sampling.
Telemetry generates huge data. Moving computation closer to data (instead of sending data to a third party over the internet) provides huge benefits, e.g., 2-4X faster page load and 60-80% lower cost.
CubeAPM provides a significantly better out-of-the-box APM experience than Grafana by providing pre-built dashboards and intuitive user experience, so that any developer can look into any application and quickly understand what's going on.
New Relic requires you to transfer all your telemetry data to their servers over the internet, which greatly increases latency and cost. CubeAPM runs on your infrastructure, and hence processes the data locally. This provides huge benefits, e.g., page load speed is 2-4X faster and cost is 60-80% lower.
Telemetry generates large volumes of data. Popular observability tools either store all data (downside: hugely increased cost) or do random sampling at the edge (downside: loss of information).
CubeAPM uses deep context to make sampling decisions, e.g., usual latency of a given API vis-a-vis the latency in the current sample. Thus, CubeAPM's "Smart" Sampling achieves a significantly higher signal to noise ratio in sampling. This enables CubeAPM to handle higher incoming traffic while consuming significantly lesser resources.
You can explore the interactive CubeAPM Playground to explore the platform without having to do any setup.
To try CubeAPM on your infrastructure, head on to the docs section for setup instructions.
You can also get in touch with us to schedule a demo.
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