Operations | Monitoring | ITSM | DevOps | Cloud

Often it can be a challenge to collect data into a monitoring environment that does not natively support that data source. Bindplane can help solve this problem. As the Bindplane Agent is based on OpenTelemetry (and is also as freeform as possible), one can bring in data from disparate sources that are not easily supported by the Splunk Universal Forwarder.

Much of the log data we handle doesn’t offer substantial insight and can be conveniently removed from your logs, helping us reduce costs. What may seem like a small adjustment, like deleting an attribute, can have significant implications when scaled up. A typical case involves fields in your logs presenting empty values or housing data considered irrelevant. Below we’ll take a look at a few examples of what this looks like and how you can take action in BindPlane OP.

As the foundation of your observability stack, BindPlane OP provides great visibility into your telemetry data, all the way from collection to its final destination. With the introduction of Live Preview in BPOP Enterprise, and a brand new processor workflow, we’ve now made this even better.

You may be thinking, “What on earth is an observability pipeline? And how does the Super Mario World fit in?” Hold on to your hat, my friend, because you’re about to find out!

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.