Stackdriver Monitoring contains a wealth of information about cloud resource usage, both for Google Cloud Platform (GCP) and and other sources. This post will explain how to use the Stackdriver Monitoring API to read, downsample, and export data from Stackdriver to BigQuery. Pub/Sub metrics will be used to demonstrate this.
Just to recap, so far our ongoing series about the Istio service mesh we’ve talked about the benefits of using a service mesh, using Istio for application deployments and traffic management, and how Istio helps you achieve your security goals. In today’s installment, we’re going to dig further into monitoring, tracing, and service-level objectives.
Google Stackdriver is a cloud-based managed services platform designed to give you visibility into app and infrastructure services. Stackdriver’s monitoring, logging and APM tools make it easy to navigate between data sources to view performance details and find the root causes of any issues.
Historically, cloud developers have had limited visibility into the impact of their code changes. Profiling non-production deployments doesn’t yield useful results, and profiling tools used in production are typically expensive, with a performance impact that means that they can only be used briefly and on a small portion of the overall code base.
We introduced our partnership with Blue Medora last year, and explained in a blog post how it extends Stackdriver’s capabilities. We’re pleased to announce that you can now join our new offering for Blue Medora. If you’re using Stackdriver to monitor your Google Cloud Platform (GCP) or Amazon Web Services (AWS) resources, you can now extend your observability to on-prem infrastructure, Microsoft Azure, databases, hardware devices and more.
Seeing what’s going on with your IT infrastructure, applications and services has always been critical to the success of modern businesses’ day-to-day operations. Google Stackdriver monitoring provides out-of-the-box visualizations and insights for Google Cloud Platform (GCP) users so you can easily understand your systems.
