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Try full-stack monitoring with Stackdriver on us
2018年6月15日星期五
By Rami Shalom, JD Velasquez and Mary Koes, Product Managers
In advance of the new simplified
Stackdriver pricing that will go into effect on June 30
, we want to make sure everyone gets a chance to try Stackdriver. That’s why we’ve decided to offer the full power of Stackdriver, including premium monitoring, logging and application performance management (APM), to all customers—new and existing—for free until the new pricing goes into effect. This offer will be available starting June 18.
Stackdriver, our full-stack logging and monitoring tool, collects logs and metrics, as well as other data from your cloud apps and other sources, then
generates useful dashboards, charts and alerts
to let you act on information as soon as you get it. Here’s what’s included when you try Stackdriver:
Out-of-the-box observability across the entire
Google Cloud Platform
(GCP) and Amazon Web Services (AWS) services you use
Platform, system, application and custom metrics on demand with Metrics Explorer
Uptime checks to monitor the availability of the internet-facing endpoints you depend on
Alerting policies to let you know when something is wrong. Alerting and notification options, previously available only on the premium tier, are now available for free during this limited time
Access to logging and APM features like logs-based metrics, using Trace to understand application health, debugging live with debugger and more
Want to estimate your usage once the new pricing goes into effect? Check out our earlier
blog post
on viewing and managing your costs. You’ll see the various ways you can estimate usage to plan for the best use of Stackdriver monitoring in your environment. And if you are not already a Stackdriver user, you can sign up to
try Stackdriver now!
Related content:
Announcing Stackdriver Kubernetes Monitoring: Comprehensive Kubernetes observability from the start
Introducing Stackdriver APM and Stackdriver Profiler
Viewing Stackdriver Trace spans and request logs in multi-project deployments
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