![]() ![]() There is no cluster manager for the Read Scale Availability Group tool.ĭata security is one of the most important requirements of database implementation. ![]() It is in the Windows Server Failover Cluster (WSFC) in Windows and in the Pacemaker in Linux. A cluster manager is required for Always ON Availability Groups. Their Always ON Availability Groups solution is designed for high availability the Read Scale Availability Group architecture handles read-only workload balancing but not high availability. In MS SQL Server, the Enterprise Editions of MS SQL Server 2017 and up have introduced two different architectures for database availability. Postgres' synchronization solution is another robust tool that ensures the system's availability, although there is a tradeoff between its functionality and overall database performance. It also automatically performs load-balancing operations as well as messaging and alerting database administration and management. The EDB Postgres Automatic Failover Manager monitors and identifies the causes of database failures. It also has other high-availability solutions, such as data partitioning, shared disk failover, and write-ahead log shipping. Its architecture enables multiple database servers to work together, which allows a standby server to take over instantaneously if the primary server fails. In PostgreSQL, high availability through load balancing and replication features make it a very reliable database. High-availability features include failover deployment, near-instantaneous failover or automatic failback, failover to cloud, and notification and alerting options. High availability has always been a priority requirement for a database. MS SQL Server: Technology-Related Factors Availability Also, I'll compare PostgreSQL and MS SQL Server databases for each factor. In the subsequent sections, I'll explain these factors. This requirement checklist will lead you to the analysis of factors related to technology, your application, and your business. Your budget for different phases, including licensing and ongoing maintenance and upgrade costs during your project's lifetime.How you want your data to be available, usable, and protected.The type of application(s) you are planning to develop.Your selection of database management system (DBMS) depends on the type of business or project you're implementing. To help you decide which would be best for you, I'll compare their features, list pros and cons, and give you some examples. Two popular choices are MS SQL Server and PostgreSQL. Unfortunately that’s not the break everything and go bankrupt way of working I guess! Still I notice that in current harder Financial Times, I do get more requests.Choosing the DBMS you will use for a new project is a very important and difficult decision. Not to mention that the human costs are one off if someone pays me 20k to bring 15k/mo to 1k/mo (which is typical), it is worth it. It usually takes me around $1000 in fees to cut half the costs so that is blatantly false. When asked, the story is the usual ‘people are more expensive than hardware’ blah. Fun times considering I expect this to be the case in a very high % of all rds deployments (all that I have seen so far, so for me it’s 100%), not only the ones that asked me for help. Usually it is bad or no design of the db schemas which was countered by picking heavy rds instances. It is how I make some money people come to me with ‘we run some trivial online shop made by our team and with 100k uniques a month we pay $15k+ for rds, is that normal?’. Indeed you can get away with a lot now but just paying (a lot) more money it feels like design is no longer needed as it works. There are use cases for containers that have nothing to do with chasing buzzwords. If you're going to tell me I should have used VMs or some hosted services, yes, thank you, I don't have the hardware to do so at home and I didn't want to spend more money on the cloud. In comparison to my upgrade to 20.04, my upgrade to 22.04 was much cleaner. a ton of pain with upgrades of Unifi Contoller + MongoDB + Ubuntu), and containerized it. I decided I had had enough problems with non-standard repos and Ubuntu upgrades (e.g. ![]() So my choices were: uninstall Postgres for the upgrade, or do something like containerize it. When I finally went to upgrade Ubuntu, do-release-upgrade literally bailed out because Postgres was installed. ![]() So I installed Postgres (13 or 14, I believe) from a PPA and happily used it. I wanted (now lost to the mists of time), but was on Ubuntu 18.04, which only has postgresql-10. ![]()
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