You can watch the full video here:
youtu.be/HxCVEowQZLE
youtu.be/HxCVEowQZLE
June 10, 2025 at 3:23 PM
You can watch the full video here:
youtu.be/HxCVEowQZLE
youtu.be/HxCVEowQZLE
This also makes it really easy for us to send the data to third party vendors. If we need to send something out in the Splunk or New Relic format, it’s not a problem.
We take it from that OTel format, transform it into their API, and send it on its way.
We take it from that OTel format, transform it into their API, and send it on its way.
February 3, 2025 at 5:39 PM
This also makes it really easy for us to send the data to third party vendors. If we need to send something out in the Splunk or New Relic format, it’s not a problem.
We take it from that OTel format, transform it into their API, and send it on its way.
We take it from that OTel format, transform it into their API, and send it on its way.
By normalizing, you ensure consistency. No more dealing with "user_ID" in one place and "userID" in another.
Since data comes from various sources, Datable supports a wide range of formats and protocols: Syslog, Json, Fluent, and open source protocols like the New Relic and Datadog wire protocols.
Since data comes from various sources, Datable supports a wide range of formats and protocols: Syslog, Json, Fluent, and open source protocols like the New Relic and Datadog wire protocols.
February 3, 2025 at 5:39 PM
By normalizing, you ensure consistency. No more dealing with "user_ID" in one place and "userID" in another.
Since data comes from various sources, Datable supports a wide range of formats and protocols: Syslog, Json, Fluent, and open source protocols like the New Relic and Datadog wire protocols.
Since data comes from various sources, Datable supports a wide range of formats and protocols: Syslog, Json, Fluent, and open source protocols like the New Relic and Datadog wire protocols.