Database Support Services

Database Support Services
Avoiding any disruptions in the management of the database, which allows us to store large amounts of data digitally, depends on the precautions you take to prevent possible problems. Performing regular checks, keeping software up to date, and regular backups are some of these. On the other hand, in case of a problem, taking the right actions as quickly as possible will shorten the downtime.
At Onicorn, we ensure that SQL and NoSQL databases are installed, configured and managed in accordance with critical and non-critical environments and positioned in a highly scalable manner in accordance with disaster recovery scenarios. To ensure the stability of database environments, we make performance improvements and optimizations appropriate to the environment with artificial intelligence-supported advanced tools.
As Onicorn, we offer 24/7 support with our expert team to help you manage MsSQL, MySQL, Postgre SQL, MongoDB, Influx databases in the most effective way and to reach the most accurate solution and service in case of possible problems.
What advantages do Onicorn's Database Support Services
provide for your business?
Save on cost and time.
Prevent potential disruptions with periodic maintenance.
Save system resources with database optimization.
Keep your software versions up to date.
Secure your data with regular backups.
Consult our expert team 24/7 for all your issues.
MsSQL Server
- SQL server installation, configuration and management
- Establishing High Available/Disaster environments Log-shipping, Failover Cluster, Always ON
- Environment-appropriate settings of SQL server backup solutions and strategies
- Definitions of SQL Server maintenance jobs
- SQL Server migration (Problem-free migration to higher version SQL servers)
- Defining SQL Server consolidated environment designs and developing alternative solutions with Ms Field Engineers
- SQL Server Audit transactions
- SQL Server data masking operations
- Monitoring SQL Server enterprise center and SQL server performance and error logs


MySQL Server
- Oracle MySQL, Percona MySQL, MariaDB Server installation, configuration and management
- Establishing High Available/Disaster environments - InnoDB cluster, NDB Cluster, MariaDB MaxScale, MultiMaster Replication installations
- MariaDB MySQL, Oracle MySQL and Percona MySQL Monitoring and central query performance and error analysis
- Implementation of MySQL backup solutions and strategies
- Definitions of MySQL maintenance jobs
- Developing alternative solutions by defining MySQL Server consolidated environment designs
- MySQL and RocksDB integration in environments where high write performance is required
PostgreSQL Server
- Enterprise DB PostgreSQL, Percona PostgreSQL installation, configuration and management
- Setting up High Available and Disaster environments - Patroni, Stolon, repmgr, PostgreSQL Automatic Failover (PAF), pglookout, PgPool-II
- PostgreSQL replications - Streaming, Cascaded, Asynchronous, Synchronous, Warm StandBy, HotStandBy
- PostgreSQL PgAgent Installations
- PostgreSQL monitoring and central query performance and error analysis
- PostgreSQL artificial intelligence based query analysis
- PostgreSQL backrest and backup solutions
- Developing alternative solutions by defining PostgreSQL consolidated environment designs


MongoDB
- MongoDB database installation, configuration and management (examining the project in terms of scalability and sustainability and deciding on the most appropriate architectural design)
- Establishing High Available/Disaster environments – Arbiter/Replicaset/Shard cluster
- Configuring LDAP integration
- Version/Edition upgrades – installation of current patches
- Settings of backup solutions and strategies appropriate to the environments
- Point in time Recovery support when necessary when a problem occurs
- OpsManager monitoring tool installation, configuration and creation of alarms by adding databases
- Performing a health check and presenting best practice recommendations
- MongoDB performance optimization studies (examination of log files-index usage controls-cpu-ram-disk utilization)
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