Operations | Monitoring | ITSM | DevOps | Cloud

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.

Parsing logs with regex is a valuable technique for extracting essential information from large volumes of log data. By employing this method, one can effectively identify patterns, errors, and other key insights, ultimately streamlining log analysis and enhancing system performance.

As the amount of telemetry being collected continues to grow exponentially, businesses are continuously seeking cost-effective ways to monitor and analyze their systems. Data collection and monitoring can be expensive, especially when dealing with large volumes of logs. One approach to maintaining visibility while reducing the amount of data collected is through creating log-based metrics.

Logs often contain sensitive data, including personally identifiable information (PII) such as names, email addresses, and phone numbers. To maintain security and comply with data protection regulations, it’s crucial to mask this data before storing it in your log analytics tool. BindPlane OP streamlines this process with the Mask Sensitive Data processor, ensuring your logs are safe and compliant.

At observIQ, we use the OTel collector to collect host/container-level metrics and logs from our systems. But to get more detailed monitoring of our applications (APM), we use the OTel SDK and instrumentation libraries. This post aims to provide a quick start to setting up tracing exporting to a local Jaeger instance.

With observIQ’s latest contributions to OpenTelemetry, you can now use free open source tools to easily monitor Cloudflare. The easiest way to use the latest OpenTelemetry tools is with observIQ’s distribution of the OpenTelemetry collector. You can find it here. In this blog, the Cloudflare receiver is configured to monitor logs locally with OTLP– you can use the receiver to ship logs to many popular analysis tools, including Google Cloud, New Relic, OTLP, Grafana, and more.

Fluentbit is a popular logs and metrics collector used for monitoring anything from virtual machines to containerized applications. With the rise of BindPlane OP and OpenTelemetry, it is not uncommon for organizations to begin replacing Fluentbit, or integrating OpenTelemetry with Fluentbit. An organization may have hundreds or thousands of Fluentbit agents deployed to their endpoints but they want to manage the pipeline using BindPlane OP.

Google Cloud Operations is a powerful integrated monitoring, logging, and trace managed service for applications and systems running on Google Cloud and beyond. As part of our partnership with Google, we help extend Cloud Operations with BindPlane OP and OpenTelemetry monitoring for a complete monitoring solution. With BindPlane OP, Google Cloud Operations becomes a single pane of glass for monitoring all aspects of your data center, no matter if it’s on prem or running in the cloud.

We talk to a lot of the top research firms about our business and the evolving space of observability so we are honored to be awarded the Fall 2022 Intellyx Digital Innovator Award. Intellyx focuses on enterprise digital transformation and the leading edge innovators helping to drive change in the enterprise IT marketplace. They give this award to vendors who make it through its rigorous selection process and deliver a successful briefing. The award is not based on being a client.

Redundant logs are a common nuisance in observability pipelines of all kinds. In large environments, excess logs can multiply data costs to unsustainable amounts. Log sampling is the process of randomly sampling logs to produce the same valuable insight with dramatically reduced data flow. Configuring agents in a pipeline to appropriately sample logs can be a pain. Pipeline managers, like BindPlane OP, make that process simple and scalable.