Validate and confirm that your application works correctly.If you don’t have at least read replicas, it is a good idea to create one temporarily, otherwise you will have cluster downtime while the instance change occurs.It is a good idea to wait a day or two to check the performance of your application and to make sure there are no problems.Promote the just upgraded read replica to the primary.Upgrade the instance type of one of the read replicas to Graviton2.( List: Aurora MySQL 2.09.2 and higher, PostgreSQL version is 11.9 and higher, 12.4 and higher, or 13.3) Determine if your current database version meets the minimum required version for moving to Graviton2.Check that your database version is supported on Graviton2, and upgrade the database if necessary:.Take a snapshot of your database – it will give you a chance to rollback your changes.Test your application for a few days, then progressively migrate other read replicas to Graviton2.Migrate a single read replica to Graviton2, and failover to make it the primary.Check that your DB version is supported on Graviton2 (if necessary, upgrade to a supported DB version).For safety, test on a non-production setup first.Take a snapshot to enable rollback if necessary.No porting or code changes are required when migrating from Intel to Graviton2 instances on Amazon RDS and Aurora.īe safe, your data is valuable – take a backup and test migration in a non-production environment first. Graviton2 processors feature always-on fully encrypted DDR4 memory and 50% faster per core encryption performance.Graviton2 instances provide seven times the performance, four times the number of compute cores, two times larger private caches per core, five times faster memory, and two times faster floating-point performance per core over the first-generation AWS Graviton processors.They also provide up to 35% price/performance improvement for Aurora depending on database size. Graviton2 instances provide up to 52% price/performance improvement for RDS open-source databases depending on database engine, version, and workload.In this case, Aurora Serverless would be 85% more expensive. For an application that is expected to serve constant traffic in US-East-1, an r6g.large RDS instance (16 GB, $0.26/hour) would be the equivalent of 8 ACUs = $0.48/hr). Each ACU is a combination of approximately 2 gigabytes (GB) of memory, corresponding CPU, and networking. If you have a steady workload, using Aurora Serverless is significantly more expensive.Īs an example, Aurora Serverless utilization is measured in Aurora Capacity Units (ACU). The provisioned DB engine mode is designed for predictable workloads, whereas the Serverless modes are designed for highly variable workloads. Should you use Aurora or Aurora Serverless? AWS Aurora Serverless is fully managed and does not give you any control over instance types. This technical blog only addresses the situation when you are using standard Aurora, with provisioned database instances. usr/bin/install -c -m 755 wal2json.so '/usr/pgsql-9.If you are using provisioned instances for your AWS Aurora PostgreSQL, RDS MySQL, or MariaDB databases, upgrading to equivalent Graviton2 instances gives you immediate savings of 10% and a 20% improvement in performance. Gcc -Wall -Wmissing-prototypes -Wpointer-arith -Wdeclaration-after-statement -Wendif-labels -Wmissing-format-attribute -Wformat-security -fno-strict-aliasing -fwrapv -fexcess-precision=standard -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong -param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -L/usr/pgsql-9.6/lib -Wl,-as-needed -L/usr/lib64 -Wl,-as-needed -Wl,-rpath,'/usr/pgsql-9.6/lib',-enable-new-dtags -shared -o wal2json.so wal2json.o I./ -I/usr/pgsql-9.6/include/server -I/usr/pgsql-9.6/include/internal -D_GNU_SOURCE -I/usr/include/libxml2 -I/usr/include -c -o wal2json.o wal2json.c Gcc -Wall -Wmissing-prototypes -Wpointer-arith -Wdeclaration-after-statement -Wendif-labels -Wmissing-format-attribute -Wformat-security -fno-strict-aliasing -fwrapv -fexcess-precision=standard -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong -param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -I. If you want to create a new branch to retain commits you create, you mayĭo so (now or later) by using -b with the checkout command again. State without impacting any branches by performing another checkout. You can look around, make experimentalĬhanges and commit them, and you can discard any commits you make in this Remote: Total 445 (delta 0), reused 0 (delta 0), pack-reused 445
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