Fully integrated in the DCD | Tailor your monitoring to your operational needs via the Data Center Designer (DCD). Using it you can monitor your virtual machines (VM) as well as Cloud Cubes by adjusting a few settings. It's all fully customizable and available 24/7.
|
Customizable alarm settings | Define your own monitoring events and when you get notifications. This way, you can act before load peaks happen, ensuring the availability of your services.
|
Works with any operating system | MaaS serves you with key health metrics regardless of your infrastructure setup, or which OS or distribution your instances boot from; no matter if you boot from the network, from IONOS Cloud images, from block storage, or your own private images or snapshots.
|
Connects to outside tools | Integrate your MaaS data into external tools, easily linkable via API with Prometheus and others. This gives you a holistic view of the performance of your systems and keeps you one step ahead of any possible scenario at all times.
|
14-day review | Use historical data logs and defined events for a period of up to 14 days in the past to maximize system transparency. You can directly process this data via an interface, use it to optimize your monitoring strategy, and store persistently after the 14-day period.
|
Fully operable without a client | IONOS Cloud gathers monitoring metrics without installing additional clients on your instances — saving your team added work. Best of all, MaaS is available with newly provisioned virtual servers or cubes, or existing instances.
|
Coming soon: horizontal VM auto scaling | When combined with MaaS, horizontal VM auto scaling allows you to automatically adapt your cloud infrastructure to your future workloads. If monitoring reveals an increased load over a defined period of time, additional instances can be automatically deployed. This means that workloads can be distributed and processed across even more virtual instances. Your users will always experience a high-performance and responsive application. As soon as the workloads fall below a pre-defined threshold, VM instances can be deleted, optimizing your costs. |
Fully integrated in the DCD | |
---|---|
Tailor your monitoring to your operational needs via the Data Center Designer (DCD). Using it you can monitor your virtual machines (VM) as well as Cloud Cubes by adjusting a few settings. It's all fully customizable and available 24/7.
| |
Customizable alarm settings | |
Define your own monitoring events and when you get notifications. This way, you can act before load peaks happen, ensuring the availability of your services.
| |
Works with any operating system | |
MaaS serves you with key health metrics regardless of your infrastructure setup, or which OS or distribution your instances boot from; no matter if you boot from the network, from IONOS Cloud images, from block storage, or your own private images or snapshots.
| |
Connects to outside tools | |
Integrate your MaaS data into external tools, easily linkable via API with Prometheus and others. This gives you a holistic view of the performance of your systems and keeps you one step ahead of any possible scenario at all times.
| |
14-day review | |
Use historical data logs and defined events for a period of up to 14 days in the past to maximize system transparency. You can directly process this data via an interface, use it to optimize your monitoring strategy, and store persistently after the 14-day period.
| |
Fully operable without a client | |
IONOS Cloud gathers monitoring metrics without installing additional clients on your instances — saving your team added work. Best of all, MaaS is available with newly provisioned virtual servers or cubes, or existing instances.
| |
Coming soon: horizontal VM auto scaling | |
When combined with MaaS, horizontal VM auto scaling allows you to automatically adapt your cloud infrastructure to your future workloads. If monitoring reveals an increased load over a defined period of time, additional instances can be automatically deployed. This means that workloads can be distributed and processed across even more virtual instances. Your users will always experience a high-performance and responsive application. As soon as the workloads fall below a pre-defined threshold, VM instances can be deleted, optimizing your costs. |
Use case
Use case
Use case
1
2
3