Google Cloud Platform Blog
Stackdriver Trace for App Engine is GA; app latency has nowhere to hide
Tuesday, May 10, 2016
Posted by Sharat Shroff, Product Manager
At Google we're always obsessed with speed, in our products and on the web. Faster sites create happy users and improve engagement. Faster sites also
reduce operating costs
. Like us,
Google Cloud Platform
customers place a lot of value in speed — that's why we decided to externalize some of the tools that Google engineers use to optimize sites, including
Stackdriver Trace
.
A member of the
Google Stackdriver
family, Stackdriver Trace is now generally available for
Google App Engine
which receives over 100B requests per day. Stackdriver Trace automatically analyzes each of your applications running on GAE to identify performance bottlenecks and emergent issues.
(click to enlarge)
Impact of latency on application
Stackdriver Trace provides detailed insight into your application’s run time performance and latency in near real-time. The service continuously evaluates data from each traced request and checks for patterns that indicate performance bottlenecks. To remove the operational overhead for performance analysis, Stackdriver Trace automatically analyzes your application’s performance over time. You can also create reports to evaluate your application’s latency across versions or releases. With the Latency shift detection feature, the service evaluates each of the reports to evaluate if there has been a significant shift in latency over time.
(click to enlarge)
The
Stackdriver Trace API
can be used to add custom spans to a trace. A span represents a unit of work within a trace, such as an RPC request or a section of code. For custom workloads, you can define your custom start and end of a span using the Stackdriver Trace SDK. This data is uploaded to Stackdriver Trace, where you can leverage all the Trace Insights and Analytics features mentioned above.
(click to enlarge)
Trace is already integrated with other Stackdriver tools such as monitoring, logs, error reporting and debugger.
Today Trace works seamlessly across your distributed environment, and supports all language runtimes on the App Engine platform. Stay tuned for Trace coverage for other GCP platforms.
(click to enlarge)
(click to enlarge)
Get started today
(click to enlarge)
We’re looking forward to this next step for
Google Cloud Platform
as we continue to help developers and businesses everywhere benefit from Google’s technical and operational expertise in application performance. Please visit Stackdriver Trace to learn more and contact us with your feedback and ideas.
No comments :
Post a Comment
Don't Miss Next '17
Use promo code NEXT1720 to save $300 off general admission
REGISTER NOW
Free Trial
GCP Blogs
Big Data & Machine Learning
Kubernetes
GCP Japan Blog
Labels
Announcements
56
Big Data & Machine Learning
91
Compute
156
Containers & Kubernetes
36
CRE
7
Customers
90
Developer Tools & Insights
80
Events
34
Infrastructure
24
Management Tools
39
Networking
18
Open Source
105
Partners
63
Pricing
24
Security & Identity
23
Solutions
16
Stackdriver
19
Storage & Databases
111
Weekly Roundups
16
Archive
2017
Feb
Jan
2016
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2015
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2014
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2013
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2012
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2011
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2010
Dec
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2009
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2008
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Feed
Subscribe by email
Technical questions? Check us out on
Stack Overflow
.
Subscribe to
our monthly newsletter
.
Google
on
Follow @googlecloud
Follow
Follow
No comments :
Post a Comment