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Availability capabilities of Azure SQL Data

Azure SQL Data from the table will allow our performance to continue the operations. Generally, in a traditional SQL Server environment, we have at least two machines set up locally. To protect the single machines against failures these machines will have synchronously maintained, exact copies of data. Even though this environment has high availability but doesn’t guarantee protection against natural disasters which destroy your data center. 

Disaster recovery means that it is an extremely unfortunate event that is geographically localized and can have another set of machines with a copy of your data far away. In SQL Server, to get the capability of a sync mode running, you can use Always On Availability Groups. Normally there’s potential for data loss because of unplanned failover as people often don’t want to wait till their data replication happens that far away. 

Premium and Business Critical service tiers do something similar to synchronization of an availability group for Database. In lower service tires use a different but equivalent mechanism to provide redundancy through storage. Protection against single machine failures can be done with the help of Built-in logic. The active features will give a way to give the protection against disaster where the whole region will be destroyed.

  Azure Availability Zones try to protect against outage of single datacenter buildings within a single region. It helps in protecting against the loss of power or network to a building. We place different replicas in different availability zones (i.e. different buildings, effectively) in SQL Database. Azure’s service level agreements (SLA) are powered by a global network of Microsoft-managed datacentres, which keeps your app running 24/7. 

Azure’s platform will control each and every database such that it will guarantee no data loss and high chances of data availability. Backups, replication, failures in the detection of potential hardware, software’s or networks, utilizing bug fixes, failover database upgrades, and other maintenance tasks are automatically performed in Azure.

By separating computer and storage layers’ standard availability is achieved. Computer and storage on a single node are integrated for performance Premium availability will be achieved, and then implementing similar technology to Always-On-Availability-Groups. For full performance of the full available capabilities of the Azure Structured query language Data from the table which will be seeing the SQL Database availability. 

SQL Database also provides features like built-in business continuity and global scalability. Includes: 

Automatic backups: 

SQL Database performs automatic full, differential, and transaction log backups. It enables you to restore at any point in time. For single databases and pooled databases, SQL Database can be configured to store full database backup for long-term backup retention in Azure Storages. 

For instance, one can also perform copy-only backups for long-term backup retention. 

Point-in-time restores: 

All the SQL Database development options will provide support for the recovery to any point in time within the automatic backup retention period for any kind of database.

Active geo-replication:

There are several options in the single database from the table and pooled database which allows the configuring a maximum of four legible secondary databases in the same or globally distributed Azure data centers. Let us take a SaaS application with a directory database with a large number of continuous read-only transactions as an example, and by making use of the Active Geo-Replication. One will be able to achieve a global read scale which will eliminate the main bottlenecks which is been caused by the read workload. Use auto-failover groups for managed instances.

Auto failover groups: 

At a global scale, all Structured query language Database deployment options allow us to use failover to authorize which will load the balancing and high availability, which contains an extensive set of databases from the tables and transparent geo-replication, elastic pools, and managed instances. The creations of globally distributed SaaS applications creations with minimum administration overhead are enabled by Failover groups, where all the complex will monitor the routing and also the failover orchestration to SQL Database are left. 

Zone redundant Database:

In this database, there are a lot of supplies of the Business-critical databases or the premium or elastic pools across multiple availability zones. As there are many unnecessary copies for high availability, keeping the copies into multiple availability zones provides higher resilience. The ability to recover data automatically from data centers without data loss is available.

Built-in intelligence

In SQL Database, there is the maximization of both performance and security for our application as we get built-in intelligence which reduces the cost of running and managing databases. SQL Database collects and processes a huge amount of telemetry data while running millions of customer data around the clock, with customer privacy being given full respect. To learn and adjust to our application several algorithms continuously check the telemetry data.

Automatic Tuning and Performance Checking

In SQL Databases, from the table where the queries will need to be monitored which are given by the detailed insights. To enable us to adapt our database schema to our workload SQL Database studies our database pattern. And it also provides performance tuning recommendations, to review tuning actions and apply them where ever needed. When dealing with many databases constantly monitoring a database is a very hard and long task.

Automatically monitoring SQL Database performance at a large scale is done by Intelligent insights. This will inform us regarding performance degradation and the issues root cause, and ways of improvements, recommendations whenever possible. To efficiently manage a large number of databases is very hard to even with the all-available tools and report that SQL and Azure provides.

Managing too much data which will be not possible to do the efficiency with all the available tools and also the reports where SQL data and azure. Monitoring and managing of data we might consider monitoring and also tuning the actions to SQL data by making use of the automatic tuning. This will automatically be applied to the tests and verifies for each and every of its tuning action to make sure that the performance which keeps on improving.

Structured query language will automatically adapt to our workload in the controlled and also in the safe way where the automatic tuning which means that the performance of our data which will be carefully tuning action. If the performance before and after every tuning improves the action is been reverted. 

Most of the designs will run on the multi-tenant apps on top of the SQL data which are relying on automatic performance tuning to make sure their applications have always been stable and predictable. This feature will reduce the danger of getting the performance incident within the middle of the night and in addition, part of their customer base and also the user SQL server where they are using same indexing which has been provided by the SQL data helps in SQL customers

  1. Automatic index: identifies indexes that should be added in our database
  2. Automatic plan: will identify problematic plans and fixes SQL plans performance problems.

Questions

  1. What is automatic backup? Explain
  2. Explain point in time restores in detail?
  3. Explain capabilities of the azure?
  4. what is automatic tuning? Explain
  5. what is geo replication? explain
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5 Comments

  1. Availability capabilities of Azure SQL Data
    Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement. Azure SQL Database is always running on the latest stable version of the SQL Server database engine and patched OS with 99.99% availability. I can use advanced query processing features, such as high-performance in-memory technologies and intelligent query processing. In fact, the newest capabilities of SQL Server are released first to SQL Database, and then to SQL Server itself.

  2. SQL Azure is Microsoft’s cloud database service. SQL Azure supports SQL Server’s Transact-SQL (T-SQL) query language, offers built-in support for high availability and fault tolerance and allows for data to be synchronized between on-premises SQL Server and cloud databases.
    Automatic backups for these databases run one full backup weekly, differential backup on every 12 to 24 hours interval, and transaction log backup on every 5 to 10 minutes. The first full backup will be taken by Azure as soon as you deploy your Azure SQL database. You don’t need to configure anything for that.
    Point-in-time restore is a self-service capability, allowing customers to restore a Basic, Standard or Premium database from these backups to any point within the retention period. Point-in-time restore always creates a new database.
    Automatic tuning is a fully managed intelligent performance service that uses built-in intelligence to continuously monitor queries executed on a database, and it automatically improves their performance. This is achieved through dynamically adapting a database to changing workloads and applying tuning recommendations. Automatic tuning learns horizontally from all databases on Azure through AI and it dynamically improves its tuning actions. The longer a database runs with automatic tuning on, the better it performs.
    Geo-Replication is an Azure SQL database feature that allows you to create a readable secondary database in the same region or cross-region. Geo-replication uses the Always-on feature to replicate committed transactions to the secondary database asynchronously.

  3. 1. What is automatic backup? Explain
    SQL Database performs automatic full, differential, and transaction log backups. SQL Database can be configured to store full database backup for long-term backup retention in Azure Storages.
    2. Explain point in time restores in detail?
    It is to provide support for the recovery to any point in time within the automatic backup retention period for any kind of database.
    3. Explain capabilities of the azure?
    Azure Availability Zones try to protect against outage of single datacenter buildings within a single region. It helps in protecting against the loss of power or network to a building. We place different replicas in different availability zones (i.e. different buildings, effectively) in SQL Database. Azure’s service level agreements (SLA) are powered by a global network of Microsoft-managed data centers, which keeps your app running 24/7.

  4. 1. SQL Database performs automatic full, differential, and transaction log backups. It enables you to restore at any point in time. For single databases and pooled databases, SQL Database can be configured to store full database backup for long-term backup retention in Azure Storages.
    2. Point-in-time recovery allows to restore a database into a state it was in any point of time. This type of recovery is applicable only to databases that run under the full or bulk-logged recovery model.
    3. Capabilities of Azure :
    (a) Fully managed SQL database automates updates, provisioning, and backups so you can focus on application development.
    (b) Flexible and responsive server less compute and Hyperscale storage rapidly adapt to your changing requirements.
    (c) Layers of protection, built-in controls, and intelligent threat detection helps keep your data secure.
    (d) Built-in AI and built-in high availability maintain peak performance and durability with an service-level agreement (SLA) of up to 99.99 percent.
    4. Automatic tuning is a fully managed intelligent performance service that uses built-in intelligence to continuously monitor queries executed on a database, and it automatically improves their performance. This is achieved through dynamically adapting a database to changing workloads and applying tuning recommendations. Automatic tuning learns horizontally from all databases on Azure through Artificial intelligence and it dynamically improves its tuning actions. The longer a database runs with automatic tuning on, the better it performs.
    5. Active geo-replication is a feature that lets you to create a continuously synchronized readable secondary database for a primary database. The readable secondary database may be in the same Azure region as the primary, or, more commonly, in a different region. This kind of readable secondary databases are also known as geo-replicas. Active geo-replication is designed as a business continuity solution that lets you perform quick disaster recovery of individual databases in case of a regional disaster or a large scale outage.

  5. 1.Automatic Backup: SQL Database performs automatic full, differential, and transaction log backups. It enables you to restore at any point in time. For single databases and pooled databases, SQL Database can be configured to store full database backup for long-term backup retention in Azure Storages.
    2. Point in Time Restores: In SQL Azure, when restoring from automated backups, it is always a point in time restore, meaning that you do not choose the backup file or files to be restored, but provide the exact restore point in time. When restoring from an existing database, you must provide a restore point in time.
    3. Capabilities of Azure : Azure platform controls each and every database such that it will guarantee no data loss and high chances of data availability. Backups, replication, failures in the detection of potential hardware, software’s or networks, utilizing bug fixes, failover database upgrades, and other maintenance tasks are automatically performed in Azure.
    4. Automatic Tuning: Automatic tuning is a fully managed intelligent performance service that uses built-in intelligence to continuously monitor queries executed on a database, and it automatically improves their performance. This is achieved through dynamically adapting a database to changing workloads and applying tuning recommendations. Automatic tuning learns horizontally from all databases on Azure through AI and it dynamically improves its tuning actions. The longer a database runs with automatic tuning on, the better it performs.
    5. Geo Replication: Active geo-replication is a feature that lets you to create a continuously synchronized readable secondary database for a primary database. The readable secondary database may be in the same Azure region as the primary, or, more commonly, in a different region. This kind of readable secondary databases are also known as geo-secondary’s, or geo-replicas.
    Active geo-replication is designed as a business continuity solution that lets you perform quick disaster recovery of individual databases in case of a regional disaster or a large scale outage.

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