Top 5 Best Points To Consider when Running Databases in the Cloud in This 2018

Databases contain data that is very critical to any organization. Your cloud infrastructure for databases should handle each and every component your database needs, which include storage, CPU, RAM, network, security, rules compliance, licenses, data backup and protection, and more . In addition, you must ensure that all of this is profitable for your company.

The good news is that there is a way to do all these things by running your databases in the cloud. In this article, we'll look at 5 best practices or options for running robust cloud databases, and we'll also see how Cloud Volumes ONTAP can improve databases in the cloud.


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1. Understand the advantages of cloud databases

Running a database in the cloud compared to the traditional database has many advantages. When running databases in the cloud, there are two implementation models to think about: PaaS (Product as a Service) and IaaS (Infrastructure as a Service).

DBaaS allows you to choose In the PaaS model, the public cloud provider offers a managed database service also called DBaaS, where most administrative tasks such as backups, structure, the cloud provider is responsible for providing availability supported by the SLA, and scaling up and down is the provider's responsibility. AWS provides Database as a Service, Amazon Relational Database Service (Amazon RDS), and Azure Database Services, such as SQL Database, Azure Database for MySQL, and Database. Azure for PostgreSQL can run your database with a few clicks and also provides database management consoles to manage and monitor your databases. Depending on the needs of the database, the database as a service allows you to choose from various sizes and performance options in the list of preconfigured instance types. There are some limitations with these DBaaSs; for example, it has no control over the file system used by its database, there are limitations on the maximum amount of storage available, and there is a higher license and storage cost.

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With the IaaS model, a database can be run on the infrastructure provided by the cloud service provider. The benefit of this configuration is to have everything under your control and at the same time leverage the cloud-based public infrastructure. Some of the key benefits of running your own database using the cloud infrastructure include:

The flexibility to manage your databases in-place and in the cloud from a single window. Control when updates and patches are applied to your databases. You can not lock your database between clouds or between the public cloud or facilities. More database software options that you can run on AWS or Azure.

2. Ensure business continuity

To ensure business continuity, it is important that database implementation is highly available and resilient to disasters or infrastructure failures. When running databases in the cloud for high availability and you need to meet all compliance requirements, you should always consider configuring your DBaaS in the Multi-AZ configuration.

With Amazon RDS, you can configure high availability and failover support for your databases. Amazon RDS will make multiple copies of your database automatically when you configure DBaaS in Multi-AZ. Amazon RDS automatically switches between standby mode and the primary node when it detects any problems. This can be further extrapolated to regions or infrastructure with geographically separated borders using read replicas. In addition, you also need to ensure that RTO and RPO levels are aligned with business objectives, especially if you are looking to restore database instances in all regions.

But remember that running an Amazon RDS Multi-AZ generates additional costs. An example is when all the waiting nodes must be in the same type of IaaS. In this case, you may incur costs that can be saved by running Multi-AZ using Amazon EC2 instances. Multi-AZ is also possible when you are running your own database on the cloud resources, in which case you can also control the configuration of your waiting instances.Here, we provide a Best aws training in bangalore 

The Azure SQL Database offers two high availability architectural models, ie the standard and premium models. In the Standard Model, there are redundant standby nodes that take control of the service or computer in case of infrastructure failures or critical failures in the SQL process, which guarantees 99.99% availability.

The Premium Model, on the other hand, offers in the form of availability groups always available, with the option of placing the replicas in different availability areas. The Azure database model for MySQL and PostgreSQL HA allows the automatic creation of a new node and the data storage is attached to this new node if a service outage is detected, such as a hardware failure. When Azure Database for MySQL and PostgreSQL is deployed with geo-redundant backup storage, you can geographically restore database instances to a different region even if the region where the master databases are stored is offline 12 hours and with an RPO of less than 1 hour.

 With NetApp, you can achieve high availability for your databases by using the Cloud Volumes ONTAP.

3. High availability configuration

Ensure database security. Ensuring database security in the cloud is a priority. If you choose to deploy DBaaS, you should ensure that multiuser best practices are followed to protect against other tenants and external attacks. AWS, for example, recommends using VPC to run its Amazon RDS database instances, using AWS IAM policies for more rigorous role-based control of RDS capabilities, firewall rules through security groups for control the connection to your RDS database instances by using SSL connections so that RDS database instances provide encryption during transit and use RDS encryption for idle data. 

Azure recommends using Firewall Rules, SSL with client application connections, and Virtual Network Rules to protect MySQL and PostgreSQL databases. In addition to these rules for administering cloud database access and traffic safety, data is stored in an Azure storage, which is protected by 256-bit AES encryption, and therefore provides robust encryption for idle data. In addition to encrypting data at rest with Transparent Data Encryption (TDE) and data in transit with TLS security, Azure SQL also offers Advanced Threat Protection (ATP), which provides an advanced set of SQL security features. 

Take advantage of database automation One of the most important tasks of a database administrator when managing database instances in the cloud is the use of automation to accelerate tasks such as deploying and managing multiple basic instances of data. 

Administrative tasks such as database creation, backup and restore management, and monitoring can be easily automated using built-in tools or custom database scripts that create DBAs. database instances, administration of security groups, and definition of backup retention policies. Parameter groups and option groups are very good tools for deploying database instances with the consistent configuration. Option groups can be used to ensure that all instances of the database within this group of options have transparent data encryption (TDE) configured for MSSQL databases. Likewise, Azure Automation can be used to administer instances of Azure SQL.

This can be done by using the Azure SQL Database PowerShell cmdlets or by using runbooks in the runbook gallery. The Azure CLI can be used to automatically customize and configure instances of MySQL and PostgreSQL DB. AWS and Azure provide native tools to assist in the database monitoring process in the cloud.

Amazon RDS provides metrics for Amazon CloudWatch and improves monitoring. Azure provides several metrics for MySQL and PostgreSQL that can be used to configure alerts on the Azure Portal. Azure SQL provides several metrics that can be included in Azure Storage, Azure Event Hubs, and Log Analytics.

Intelligent Insights can proactively monitor the Azure SQL database using AI to provide detailed analysis. Automation and monitoring tools, such as AWS CloudWatch and Azure Log Analytics, can be used with IaaS.here we provides a best aws training course in chennai also 

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5. implementations.


A balance between costs and performance Database instances increase, cost for managed instances, and storage grows exponentially. It is important to understand the tips and tricks to keep TCO under control. One way to keep costs low is with data leveling. The organization




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