MySQL is the trusted open-source database management system for many desktop, mobile, web, and cloud applications. Monitoring the performance of MySQL is critical but as the applications expand over multi-cloud, cloud-native, and hybrid cloud, monitoring also grows in complexity. Continuous monitoring and scaling help applications take advantage of MySQL’s capabilities such as reliability, security, flexibility, availability, and performance scalability.
At observIQ, we've seen growing interest in observing the health of Windows systems and applications using OpenTelemetry. Requests on the SQL Server receiver continue to garner the most interest, so let's start there. Below are steps to get up and running quickly with the contrib distribution of the OpenTelemetry collector. We'll be collecting and shipping SQL Server metrics to a popular backend, Google Cloud.
In the last 12 months, there’s been significant progress in the OpenTelemetry project -- arriving in the form of contributions, stability, and adoption. Being such, it felt a good time to refresh this post, providing project newcomers a short guide to get up and running quickly. In this post, I'll step through.
The BindPlane Agent is a flexible tool that can be run as an agent, an aggregator, or both. As an agent the collector will be running on the same host it's collecting telemetry from, while an aggregator will collect telemetry from other agents and forward the data on to their final destination. Here are a few of the reasons you might want to consider inserting Aggregators into your pipelines: Today we will examine these reasons, and some possible architectures for implementing aggregators.
BindPlane OP and the BindPlane Agent offer a unified solution for Google customers to ship telemetry from various environments to Google Cloud Operations. This 4-part video series will guide you through setting up and using BindPlane OP effectively.
Logs serve as an invaluable resource for monitoring system health, debugging issues, and maintaining security. But as our applications grow more complex, the volume of logs they generate is increasing exponentially. While logs are crucial, not all log data is equally valuable. With the surge in volume, costs associated with storing and analyzing logs are skyrocketing, impacting both performance and cost. The need for effective log management is more urgent than ever.
In today's data-driven world, ensuring the stability and efficiency of software applications is not just a need but a requirement. Enter observability. But as with any evolving technology, there's always room for growth. That growth, as it stands today, is the convergence of artificial intelligence (AI) with observability pipelines. In this blog, we'll explore the idea behind this merge and its potential.
We’ve all been surprised by our cloud monitoring bill at one time or another. If you are a BindPlane OP customer ingesting Host Metrics into Google Cloud Monitoring, you may be wondering which metrics are impacting your bill the most. You may have metrics enabled that aren’t crucial to your business, driving unnecessary costs. How do we verify that and remediate?