Blue Medora

Single and cohesive view into your healthcare IT environment

Join Blue Medora experts, Chuck Petrie & Peter Haagenson, as they discuss the benefits of building a single view for end-to-end monitoring of your healthcare environment. Learn how monitoring Epic alongside the rest of your IT environment can increase reliability, improve productivity and lower cost of ownership.

3rd party Database Visibility in GCP with Deep Telemetry in Stackdriver

Persistent data management is challenging, especially for companies experiencing fast growth or volatility in data proliferation. Performance telemetry is vital for operating databases like PostgreSQL, Oracle, and SAP HANA. Viewing third-party database telemetry in the context of a full Google Cloud environment allows you to understand impact and relationships.
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Troubleshoot MongoDB Replication Lag

MongoDB is no different from other databases as in the fact that it relies on data replication, and even if we had quantum computers at our disposal, there will always be at least a small amount of lag when replicating operations from the primary to secondary node. MongoDB replication lag is specifically the interval of time from when an operation is run on an application in the primary node, and the operation being applied to the application on the secondary node from the oplog.

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Announcing BindPlane Logs for Stackdriver

We are pleased to announce that BindPlane Logs for Stackdriver is now out of Beta and is generally available to all Google Stackdriver customers. Stackdriver is Google Cloud’s monitoring and logging service, that allows you to easily see how your systems are performing across platforms and providers with metric and log data that is provided by BindPlane.

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High MongoDB Lock Percentage

Are you experiencing high queues or slow response times in your MongoDB database? Well then, you may have a deeper issues within your database… a high MongoDB Lock Percentage. MongoDB can be a large and complicated database to manage and maintain, which means you will probably have multiple team members accessing and working on data at the same time.