Datadog, a monitoring and analytics platform for modern cloud
environments, today announced the general availability of its support
for Amazon Web Services (AWS) App Mesh, a hosted service that
dynamically configures service mesh proxies. With Datadog’s AWS App Mesh
integration, which was announced at AWS re:Invent 2018, engineering
teams can monitor their services, proxies, and tracing requests,
ensuring strong performance and identifying potential issues for
troubleshooting.
“With AWS App Mesh, customers can observe communications in a consistent
manner and easily control how traffic flows between every part of an
application without having to change their code,” said Deepak Singh,
Director of Compute Services, Amazon Web Services, Inc. “We are pleased
to have worked with Datadog as an AWS Partner Network (APN) launch
Partner for AWS App Mesh. Datadog’s integration makes it easy for AWS
App Mesh users to monitor the performance of their microservices, view
platform and application logs, and trace the path of requests as they
move through the service mesh. Datadog’s platform provides a powerful
way for developers to better understand their applications.”
AWS App Mesh makes it easy to run microservices by providing consistent
visibility and network traffic controls for each microservice in an
application. AWS App Mesh removes the need to update application code to
change how monitoring data is collected or traffic is routed between
microservices. AWS App Mesh configures each microservice to export
monitoring data and implements consistent communications control logic
across your application. This makes it easy to quickly pinpoint the
exact location of errors and automatically re-route network traffic when
there are failures or when code changes need to be deployed.
Integrating Datadog with AWS App Mesh allows teams to collect hundreds
of metrics tracking internal activity, as well as the performance of
services and the applications that those services depend on. Teams can
then create visualizations and alerts in Datadog to monitor the
performance and health of all their services in one place.
In addition to tracking key metrics, teams can also trace requests to
all the services in their service mesh with Datadog APM & Distributed
Tracing. Datadog APM can visualize distributed request traces in
detailed flame graphs, illuminating each call’s timing and dependencies,
and allowing teams to explore an automatically generated Service Map to
see how requests flow between all their services. Along with an existing
integration with Datadog Log Management, teams using AWS App Mesh can
gain full visibility into the performance of their critical services.
“Since announcing our integration with AWS App Mesh last fall, our
customers have enthusiastically adopted its capabilities,” said Michael
Gerstenhaber, Director of Product Management, Datadog. “Service Meshes
have become an integral component of production container workloads, and
we’re excited to work with AWS to provide the observability our
customers need to monitor their services and proxies.”
For more information about Datadog, and to start a free 14-day trial,
please visit: http://dtdg.co/Start-Free-Trial.
About Datadog
Datadog is a monitoring service for hybrid cloud applications, assisting
organizations in improving agility, increasing efficiency, and providing
end-to-end visibility across the application and organization. These
capabilities are provided on a SaaS-based data analytics platform that
enables Dev, Ops and other teams to accelerate go-to-market efforts,
ensure application uptime, and successfully complete digital
transformation initiatives. Since launching in 2010, Datadog has been
adopted by more than 7,000 enterprises including companies like
Activision, AT&T, Deloitte, Peloton, Samsung, Seamless, The Washington
Post, T-Mobile, Turner Broadcasting, and Whole Foods.
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