Krunal S. avatar image
Krunal S. asked ·

autoscaling automation of dynatrace managed

We are running dynatrace managed solution.

According to the link ""; , the SaaS offering of dynatrace is hosted on AWS cloud and uses autoscaling with automation to provide the following benefits.
1. AWS Auto Scaling and Elastic Load Balancing capabilities ensure that new Amazon EC2 instances spin up automatically to meet spikes in demand and/or traffic.
2. Real-time failover redundancy built into all system components.
3. Automated management layer detects faulty components and replaces them immediately.
4. One-third of excess capacity in our clusters always reserved for real-time failover and ability to cope with peak loads in real time.
5. Guaranteed ≥99.5% uptime.

According to the link ""; with Dynatrace managed we "Gain all the conveniences of Dynatrace SaaS".

Can you tell us the steps to achieve automation of the dynatrace managed cluster with autoscaling on AWS. Setting up a cluster node is a manual process it seems, where the commands to set up the master node are sent on activation mail with an expiring token. The commands have to be copied and manually executed following by adding more cluster nodes.

How do we derive the benefits mentioned above if the steps require manual intervention. Can you please provide technical steps to achieve the automation that SaaS solution provides.

Dynatrace Managedamazon web services
10 |2000000 characters needed characters left characters exceeded

Up to 10 attachments (including images) can be used with a maximum of 50.0 MiB each and 250.0 MiB total.

1 Answer

Sebastian K. avatar image
Sebastian K. answered ·

You will not have autoscalling ability like on AWS. Cloud solutions can extend resources like memory, cpu and storage on the fly. This is something needed in such approach because Dynatrace has to optimize consumption and costs.

In manage you are responsible for infrastructure, you can handle resources extensions. Isetting up extra cluster on deman when traffic is bigger is not good idea because some of data are kept only on cluster where they was recorded. When you are using Dynatrace in browser you don’t see this because you are queried both clusters. So if such cluster would go offline you can loos access to some part of data.


2 comments Share
10 |2000000 characters needed characters left characters exceeded

Up to 10 attachments (including images) can be used with a maximum of 50.0 MiB each and 250.0 MiB total.

Hi Sebastian,

Thanks. Our application hosted on AWS- almost all of them are automated using some form of Infrastructure-as-code fashion. But with dynatrace managed we can't achieve that. We are not always looking for setting up a new cluster but we want our infra to be codified and manageable. but current managed solution doesn't allow that.

0 Likes 0 · ·

Managed is different production than saas on such case. You can monitor Dynatrace host via OneAgent or cloudwatch and decide how to manage resources from such aproach.


0 Likes 0 · ·

Space Topics

mobile monitoring dotnet synthetic monitoring reports iis chat kubernetes servicenow amazon web services mysql mainframe rest api errors cassandra dashboard oneagent sdk cmc application monitoring openkit smartscape request attributes monitoring developer community user tagging log monitoring services ufo syntheticadvisory activegate ip addresses auto-detection high five award oracle hyperion webserver uem usql iib test automation license web performance monitoring ios news migration management zones index ibm mq web services notifications sso host monitoring knowledge sharing reports browser monitors java hybris sap vmware maintenance window user action naming javascript appmon ai synthetic classic availability tipstricks automation extensions session replay diagnostic tools permissions davis assistant faq documentation problem detection http monitors server easytravel apdex aws-quickstart network docker tags and metadata cloud foundry google cloud platform synthetic monitoring process groups account usability dynatrace saas gui paas openshift key user actions administration user actions postgresql synthetic locations oneagent security Dynatrace Managed user management custom python technologies mongodb openstack user session monitoring continuous delivery citrix configuration alerting NGINX action naming linux nam installation masking error reporting database mission control jmeter recorder apache mobileapp RUM php threshold azure purepath davis scripting agent aix nodejs android