Scalable backup and recovery for modern applications and NoSQL databases. Best practices for cloud-native applications and NoSQL databases on AWS

Transcription

1 Scalable backup and recovery for modern applications and NoSQL databases Best practices for cloud-native applications and NoSQL databases on AWS

2 NoSQL databases running on the cloud need a cloud-native backup and recovery strategy. Adoption of NoSQL databases is expected to grow by 25% annually over the next five years. 1 The worldwide database as a service (DBaaS) market is forecasted to grow at a compound annual growth rate of 65.49% up to Jennifer Adams, Forrester Research, New, Evolving Tools to Manage Big Data Will Grow at Double-Digit Rates, September 15, TechNavio Research, Global Database as a Service Market , May 2016 As enterprises use leading edge technologies to drive strategic initiatives, they rely on cloud-native applications to process diverse types of data in large amounts at unprecedented rates. To support the high-volume, real-time characteristics of these modern applications, many organizations are adopting cloudbased NoSQL databases for agility and scalability. While NoSQL databases provide the necessary support for the applications, they present new challenges for enterprises in protecting cloudnative database workloads. In this ebook, you will discover best practices for backup and recovery, including data movement based on parallel streaming, incremental backup, and semantic deduplication, that can help address the challenges of protecting cloud-native applications and NoSQL databases. 2

3 Support scalability and 24/7 availability Cloud-native applications need to be able to scale out rapidly as the number of active users grows. As a result, the underlying database needs to scale out to multiple shards. Cloud-based data protection scales easily alongside growing amounts of data, and the strongest solutions provide consistent copies across the shards without disrupting the database and application performance. A cloud-native NoSQL data protection solution with auto-scaling capability can leverage the flexibility of elastic resources to accommodate rapid changes in application load and data volumes. A solution that handles large amounts of data using parallel streaming can back up copies quickly from NoSQL cloud databases to cloud storage such as Amazon Simple Storage Service (S3) and Amazon Glacier. Parallel streaming architecture helps meet stringent recovery point objectives (RPOs) and recovery time objectives (RTOs), and allows you to save costs by avoiding any dedicated media servers. 3

4 Enable granular backups at any interval A cloud-based NoSQL database requires flexible backup schedules that can be set at any interval and at various levels of granularity. For example, each data set may have a different change rate and pattern, depending on the application type. Based on the application requirements, some data may need to be backed up every hour while others can be backed up daily. A solution that provides incremental, granular backups at userspecified time intervals can help improve data protection. When a solution combines this capability with query-based recovery feature and a deduplication method that writes a single applicationconsistent copy to restore data, it can also reduce RTOs. 4

5 Deliver point-in-time backup and recovery A NoSQL database typically includes a built-in data replication feature to support data availability. A cluster of servers hosts and maintains replicas on distributed machines. When an application changes a data item on one server, that change is made to the replicas stored on other servers. However, there is a time delay, which can make it challenging to create point-in-time backups. This may result in incomplete protection against data loss or corruption. A solution that captures the data before it is distributed can ensure cluster-consistent backup copies. Semantic deduplication also addresses inconsistencies caused by lag time between copies. By generating incremental versions in parallel with new updates, semantic deduplication enables data recovery from any point in time for NoSQL cloud workloads. The deduplication process eliminates redundancy, reducing costs through decreased cloud storage consumption. 5

6 Rubrik Datos IO RecoverX on AWS: A backup solution for NoSQL databases RecoverX provides backup and recovery for NoSQL database workloads on AWS, including MongoDB, Apache Cassandra, DataStax Enterprise, and Amazon DynamoDB. RecoverX can be deployed as an Amazon Machine Image (AMI) on Amazon Elastic Compute Cloud (Amazon EC2). RecoverX leverages the flexibility of AWS storage and auto-scales to accommodate for the rapid data growth characteristic of workloads that utilize NoSQL databases. With RecoverX, you can back up and recover data at any level of granularity and at any time interval to gain the flexibility and speed required to protect your database workloads. In addition, cluster-consistent versioning and industryfirst semantic deduplication features provide any point-in-time backup and recovery that enables effective data protection and reduces storage costs. 6

7 RecoverX features and capabilities Customers running NoSQL databases on AWS can benefit from the following data protection features and capabilities: Applicationconsistent backups on AWS with parallel streaming. Quickly recover specific data from any point in time. Improve RTO with advanced features such as querybased recovery and parallel streaming architecture of data movement. Enable scalable backups and reduce storage costs with semantic deduplication. Automate service level agreement (SLA) policies. Gain true point-in-time backup copies with clusterconsistent versioning. Restore data to a database of the same or different topology than the original source cluster with orchestrated recovery. Learn more about RecoverX on AWS» Schedule a Demo» 7