grafana visualization of average throughput amazon EBS - amazon-web-services

i am trying to create a grafana dashboard with a graph to visualize average throughput of my volume (my es nodes are having a tough time..) but i am unable to see data
i used this link:
https://aws.amazon.com/premiumsupport/knowledge-center/ebs-cloudwatch-metrics-throughput-iops/
and was able to calculate my average throughput in the amazon console using cloudwatch but i dont know how to calculator it in the my grafana panel
i tried importing AWS EBS dashboard but the metric they are using is probably deprecated

Related

Not getting node metrics for mysqld_exporter and postgres_exporter for RDS instances

I have setup a system for RDS monitoring and used mysqld_exporter and postgres_exporter and exposed their metrics to prometheus server but I am not getting important metrics to monitor like CPU_Utilization, memory available, iops rate, latency etc. I am getting about 1800 metrics but none of them are these I suppose. I think i need node exporter for RDS monitoring for getting cpu utilization but i don't know how to configure node_exporter for RDS instance.
PS: I don't want to use AWS Cloudwatch metrics

AWS Resource Usage Data - CPU, Memory and Disk

I am trying to build an analytics Dashboard using the below Metrics/KPIs for all the EC2 Instance.
Total CPU vs CPUUtilized
Total RAM vs RAMUtilized
Total EBS Volume vs EBSUtilized.
For example, I have lunch an EC2 instance with 4 CPU, 16GiB RAM and 50GB SSD, I would like to know the above KPIs in a time series trend. I am not getting any clue on where to get the data from EC2. Tried the EC2 instance metrics through CloudWatch using boto3 client, however did not get the above Metrics. I would like to know :
Where to find the data with above Metrics ?
Need the above metrics data in s3 on an daily basis.
Similarly is there a way to get similar metrics for AWS RDS and AWS EKS Cluster ?
Thanks!
The Amazon EC2 service collects information about the virtual machine (instance) and sends it to Amazon CloudWatch Logs.
See: List the available CloudWatch metrics for your instances - Amazon Elastic Compute Cloud
Note that it only collects metrics that can be observed from the virtual machine itself -- CPU Utilization, network traffic and Amazon EBS traffic. The EC2 service cannot see what is happening 'inside' the instance, since it is the Operating System that controls memory and manages the contents of the disks.
If you wish to collect metrics from the Operating System, then you would need to Collect metrics and logs from Amazon EC2 instances and on-premises servers with the CloudWatch agent - Amazon CloudWatch. This agent runs in the instance and sends metrics out to CloudWatch.
You can write code that calls the CloudWatch Metrics APIs to retrieve metrics. Note that the metrics returned are calculated over a time period (eg average CPU Utilization over a 5-minute period). It is not possible to retrieve the actual raw datapoints.
See also:
Monitoring Amazon RDS metrics with Amazon CloudWatch - Amazon Relational Database Service
Amazon EKS and Kubernetes Container Insights metrics - Amazon CloudWatch

Unable to understand GCP bill for Stackdriver Monitoring usage

We have implemented kube-state metrics (by following the steps mentioned in this article section 4.4.1 Install monitoring components) on one of our kubernetes clusters on GCP. So basically it created 3 new deployments node-exporter, prometheus-k8s and kube-state metrics on our cluster. After that, we were able to see all metrics inside Metric Explorer with prefix "external/prometheus/".
In order to check External metrics pricing, we referred to this link. Hence, we calculated the price accordingly but when we received the bill it's a shocking figure. GCP has charged a lot of amount but we haven't added any single metric in dashboard or not set monitoring for anything. From the ingested volume (which is around 1.38GB/day), it looks these monitoring tools do some background job (at specific time it reads some metrics or so) which consumed this volume and we received this bill.
We would like to understand how these kube-state metrics monitoring components work. Will it automatically get metrics data and increase the ingested volume and bill in such way or there is any mis-configuration in its setup?
Any guidance on this would be really appreciated!
Thank you.
By default, when implemented, kube-state-metrics exposes several metrics for events across your cluster:
If you have a number of frequently-updating resources on your cluster, you may find that a lot of data is ingested into these metrics which incurs high costs.
You need to configure what metrics you'd like to expose, as well as consult the documentation for your Kubernetes environment in order to avoid unexpected high costs.

AWS realtime visualization

Are there any tools out there that would allow me to visualize my AWS instances in real-time ? For example, if I'm using auto-scaling I would be able to see the load on each instance and the scaling in real-time.
The Amazon EC2 management console has a Monitoring tab that provides graphs for CPU, Network and Disk metrics.
You can select multiple instances to view them all on one chart. Click the chart to make it bigger.
Similar statistics are available in the Amazon CloudWatch management console.
See documentation: Graph Metrics for Your Instances

Amazon CloudWatch - monitoring EBS volumes VolumeReadOps, VolumeWriteOps

I am interesting in adding CloudWatch for two specific stats on just a few named EBS volumes. The metrics specifically are VolumeReadOps and VolumeWriteOps. These do not show up by default under the volume graphs. My question is as follows:
Is it possible to have those graphs show up by default underneath all volumes graphs tab?
Is it possible to search volumes by tag/name when going to CloudWatch -> EBS? Do I really have to remember volumes by volume-id if I want to see some metrics?
You cannot add a custom metrics to cloud watch. But you can still monitor the VolumeReadIops and VolumeWriteIops using munin. I will give many other information like your app server performance, web server performance etc etc.