Hi everyone, Adam Carter here. I am a Tech Alliance Manager at Dynatrace, and I work with all the major cloud providers to enable customers to reduce complexity and risk on their platforms using Dynatrace.
I’m on my way to San Francisco for Google Cloud NEXT. This is Google’s big conference to educate and share how people are using Google Cloud Platform (GCP) and what is coming “NEXT” for the platform. 😊
This is perfect timing for me to talk about the work that Dynatrace has done to provide deep insights into performance on GCP. In fact, I just finished a webinar with Andi Grabner where we walked through some of the new functionality, take a look “Monitoring Google Cloud Platform with Dynatrace – 101”.
What I’d like to do here is a quickly recap some of those high points.
What’s Google Cloud Platform (GCP)?
Google continues to add functionality like virtual machine hosting, container hosting, cloud storage, SQL, etc. to their cloud offering.
How does Dynatrace raise the performance bar? Well, one of the cool things about Dynatrace is that we can pull metrics and performance data directly into our monitoring technology. The simplest way to get started is to install OneAgent on your hosts – in GCP, you can do that with your Compute Engine (GCE) virtual machines, and containers running in App Engine (GAE) and Kubernetes (GKE).
For native services on GCP, where you can’t install OneAgent, we leverage the Stackdriver Monitoring API, to quickly extract and integrate those metrics.
Monitoring GCP with Dynatrace
For the GCP Services listed under “Compute”, you can install OneAgent to enable Full Stack monitoring. This is great because it automatically determines where the host is running, and what applications, processes, and services, are running there.
Dynatrace is basically ‘Google aware’. The Dynatrace OneAgent automatically determines when it is running on a host in GCP and discovers information about the host, which datacenter it is running in, and what Google project it is associated with – along with a lot of other metadata about your deployment.
You can use this metadata in a lot of valuable ways, like for automated tagging to be used for filtering custom dashboards or management zones. For example, if you want to create a custom Dynatrace dashboard and view just components of a specific GCP project, you can use the project name as a tag to automatically filter the view.
For hosts running in GCE – install OneAgent, and you’re done! OneAgent will start reporting on the performance of underlying systems, like CPU utilization, network throughput, as well as determine what processes are running. It also monitors these processes to track other associated systems, and automatically detects log files, and starts collecting this data as well. This works easily for both Windows and Linux hosts.
Monitoring GAE (Google AppEngine) with Dynatrace
Google manages the underlying hosts when deploying your services via AppEngine. As we won’t have access to these GAE managed hosts to install OneAgent’s we have to use a different approach. We simply include OneAgent in the container image and it will execute alongside the other binaries in the container and feed that monitoring data into Dynatrace. My colleague, Alois Mayr, has more detailed info on GAE monitoring in his blog “Google App Engine application monitoring now available (beta)”. There is also a document on how to install and configure here “Monitoring Google Applications”. It’s pretty straight forward – just a few lines of config info to add to your dockerfile when creating an image.
Dynatrace will display all kinds of insight data about the host performance:
Monitoring GKE (Kubernetes Engine) with Dynatrace
If you are using GKE, Dynatrace can automatically monitor every single container deployed by Kubernetes. In order to automatically instrument these containers, we leverage the Dynatrace OneAgent Operator for Kubernetes and OpenShift which ensures that a Dynatrace OneAgent is automatically loaded with every container instance.
Once the Operator is active every single container will report data to Dynatrace. You can get a high level overview of all containers, on which kubernetes nodes they run, which images are actually used and how traffic is distributed. Simply start with the Dynatrace Docker View:
Because the OneAgent is actually monitoring each individual container instance we get to see the same level of detail as we saw earlier when monitoring your GCE or GAE instances:
Additional metrics through k8s and Stackdriver plugins
OneAgent delivers a lot of value by monitoring your GCE, GKE and GAE compute resources. We can pull in even more data through some of the APIs that are provided to monitoring vendors like Dynatrace. We provide a Kubernetes as well as a StackDriver GCP plugin to pull in metrics that can’t be queried through the OneAgent. This is great when you’re using CloudSQL or other services that you can’t install OneAgent on, yet still want Dynatrace to pull in the metrics for better performance monitoring and problem detection:
NOTE: The Stackdriver plugin can be configured to import any of the metrics that are exposed by the Stackdriver API. In order to improve a fast and easy start, I’d like to get your feedback on what Google services we should include in our “out of the box” plugin configuration. If you’re architecting a solution on GCP, I’d love to hear from you to learn what services your using. Give me a ping on Twitter @adambomb00, or email me at [email protected].
Key Use Cases for GCP and Dynatrace
With all this functionality, what’s the best place for Dynatrace within your GCP deployment? Let’s take a look at some use cases that I’ve seen customers using today:
- Dynatrace RUM (Real User Monitoring) – analyze true user experiences across all transactions
- Service Flow – understand what is happening inside the transaction and find bottle necks and issues that are implication performance
- Diagnostics – understand fully where exceptions are occurring in your application and why
Using Dynatrace PurePath technology analyze every single transaction end to end across every tier of your application technology stack—beginning at the browser and extending through all services, all the way down to the code and database level. (p.s. nobody else can do this. Other APM vendors provide this granular level of detail for only some transactions, but usually only after an alert has been triggered).
Dynatrace gives you the same insights into SQL queries – helping you identify which queries are the slowest – so you can optimize them. You can also use PurePath to find inefficient code.
Dynatrace also has some really slick log analytics – in addition to automatically discovering log files, Dynatrace automatically aggregates them – you can see all your logs from a single console, and search across them from one place. Dynatrace will also use the log data in problem analysis to help identify root cause.
What’s Next and Additional Resources
There is a lot happening on the GCP platform, and Dynatrace gives you full visibility into your Google Cloud Platform and shows you whether or not your applications are performing as they should and delivering the user experience you expect.
Looking for more info on how to implement any of these? Here are some additional resources:
If you haven’t already, get started with Dynatrace. All you need is an email to get started – you’ll get set up with a free tenant, begin installing OneAgent, and immediately see the insights Dynatrace can reveal about the performance of your environment and how you can improve and optimize it. Get your free trial at http://bit.ly/dtsaastrial
And lastly – if you’d like to participate in our Early Access Program, or to help shape the future of our Stackdriver plugin as mentioned above – don’t forget and drop me a line at [email protected].
This syndicated content is provided by Dynatrace and was originally posted at https://www.dynatrace.com/news/blog/a-brief-intro-to-full-stack-performance-monitoring-on-google-cloud-platform/