aws-graviton-getting-started VS sysbench

EMR serverless + Athena + Glue works for us. We are evaluating Graviton instance to further optimize stuff. AWS link if you are interested

Now we turn our attention to carbon emissions which are presented in Table 8. In the table, the AMD – CPU only and AMD – T408 server watts/hour are actual measurements on the test system during operation. To estimate the AWS server watts/hour, we reduced the CPU-only AMD number by 60%, which is the savings that Amazon claims that Graviton3 CPUs provide over other CPUs. In all three cases, we multiplied this by the number of servers, then hours, days, and years, to compute the three-year power consumption total.

https://aws.amazon.com/ec2/graviton/ https://cloud.google.com/compute/docs/instances/arm-on-compute

From the relevant product page [0]:

"AWS Graviton3 processors feature always-on memory encryption, dedicated caches for every vCPU, and support for pointer authentication."

Further reading on pointer authentication [1].

[0] https://aws.amazon.com/ec2/graviton/

[1] https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets...

Amazon makes their own Arm CPUs, like the Graviton3: https://aws.amazon.com/ec2/graviton/

Read More about Graviton Processors

According to BlackBerry, both QNX and IVY can run on EC2 instances powered by AWS’ Graviton2 processor. Graviton2 is an internally-developed processor that AWS debuted at re:Invent last year. It promises to provide up to 40% better price performance than comparable chips. "

Sometimes you need to do a load test on MySQL Database to test Auto-Scaling for example. I found a very useful tool called Sysbench that I will present in this article.

QPM is available on Amazon Aurora PostgreSQL version 10.5-compatible (Aurora 2.1.0) and later and can be enabled in production (minimal overhead) and or enabled/disabled against your test working-sets with tools such as sysbench. I highly recommend turning this on under your test environments and also practice plan evolution (reviewing and approving plans) before applying QPM in production. Once applied to production a periodic review will be necessary to see if the optimizer has found better plans with a lower cost estimate that needs to be approved.

git clone https://github.com/akopytov/sysbench.git cd sysbench sudo ./autogen.sh sudo ./configure sudo make sudo make install

Benchmark tools like sysbench can be used to identify temperatur issues since they put some reproducible load on your machine https://github.com/akopytov/sysbench