Splunk is a popular logging, and in the case of Splunk Cloud also metrics, platform. The BindPlane Agent is capable of integrating with Splunk; both for incoming telemetry to a Splunk Indexer and outgoing telemetry from a Splunk Forwarder. By integrating in this manner, telemetry not natively supported by Splunk can be sent in; and going the other way the telemetry can be sent to other platforms.

Managing configuration changes within BindPlane OP is a straightforward process when using the newly introduced Rollouts features to deploy your changes. Rollouts provides a user-friendly platform for tweaking configurations, staging modifications, and implementing them across your agent fleet only when you’re satisfied with the changes.

Adding additional attributes to your telemetry not only provides valuable context to your observability pipeline but also enhances the flexibility and precision of your data operations. Consider, for example, the need to route data from specific geographical locations, like the EU, to a designated destination. With a ‘Location’ attribute added to your logs, you can seamlessly achieve this.

When engaging with potential customers, we are often asked “how can we reduce spend on our observability platform like Splunk or Data Dog and simultaneously justify the cost of BindPlane OP?” Let’s dive in and see how the powerful capabilities of BindPlane OP can reduce your total ingest, and get a positive ROI on your BindPlane OP investment.

In the rapidly evolving landscape of modern tech, system reliability has become a critical factor for businesses to succeed. To ensure the stability and performance of complex distributed systems, companies are relying on observability—a concept that isn’t synonymous, but instead goes beyond traditional monitoring approaches.

If you’ve worked with NGINX web servers, you know they’re efficient but can generate a lot of log data. While this data is valuable, sorting through it can be a challenge, and the storage and processing costs can quickly add up. This is where BindPlane OP comes in. It helps reduce log volume while still preserving the crucial information. It streamlines your data, filters out the irrelevant bits, and zeroes in on key data points, helping manage storage and keep costs under control.