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E20-329 Technology Architect Backup and Recovery(R) Solutions Design

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E20-329 exam Dumps Source : Technology Architect Backup and Recovery(R) Solutions Design

Test Code : E20-329
Test denomination : Technology Architect Backup and Recovery(R) Solutions Design
Vendor denomination : EMC
: 374 actual Questions

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EMC Technology Architect Backup and

Dell EMC Boosts Multi-Cloud statistics insurance plan, faraway workplace administration | actual Questions and Pass4sure dumps

Dell EMC these days tackled data insurance arrangement for purchasers relocating to a multi-cloud architecture and brought smaller appliance options for mid-sized companies and greater organisations working far flung places of work. those moves involve elevated information coverage with current and more advantageous features to its records domain and integrated records insurance policy outfit (IDPA) items.

The moves are confiscate as recent IDC numbers showed that ninety two percent of corporations are the exhaust of a cloud structure, with 64 % adopting a multi-cloud setup.

For its on-premise statistics domain appliances, Dell EMC announced that restores are as much as 2.5-instances sooner than earlier than, and remembers are as much as 4-times faster from the cloud to the equipment. For the IDPA family unit of items, an more desirable records cache gives up to four-instances extra inputs/outputs per 2d (IOPS). That’s up to forty,000 IOPS with as cramped as 20 milliseconds of latency. This aptitude changed into brought for information area final yr in unencumber 6.1.1.

also, Dell EMC introduced extra public cloud providers for its Cloud Tier, Cloud disaster recovery, and facts domain virtual version application. for example, data domain OS 6.2 and IDPA 2.3 software with Cloud Tier can now connect to Google and Alibaba clouds, besides uphold already offered for Amazon internet capabilities (AWS), Microsoft Azure, Del EMC Elastic Cloud Storage, Virtustream, Ceph, IBM Cloud Open Storage, AWS rare access, Axure gelid Blob storage, and Azure executive Cloud.

a current free-space estimator tool for Cloud Tier is designed to wait on IT retail outlets manage aptitude to reduce on-premises and cloud storage prices.

On the statistics domain digital edition side, Dell EMC now supports AWS GovCloud, Azure govt Cloud, and Google Cloud Platform (GCP). The platform continues to uphold AWS S3 and Azure scorching Blob.

also, Dell EMC mentioned endemic Cloud disaster recovery is obtainable across the IDPA family. purchasers received’t exigency to installation and hold a 2d website for DR and can failover to public clouds. utter data domain and IDPA fashions wait on AWS, including VMware Cloud on AWS and Microsoft Azure for Cloud catastrophe healing.

Dell EMC appliances will too exist managed on-premises or in public clouds with a sole interface referred to as the records area management center.

Phil Goodwin, an analyst at IDC, talked about in an announcement that records domain and IDPA “have develop into a cornerstone of information insurance arrangement options.” He defined that those home outfit are sooner, with extra legit backup and fewer job disasters than different alternate options and additionally wait on quicker information restores.

Rob Emsley, director of records preserving marking at Dell EMC, said that the 2U facts domain DD3300 appliance now is available in an 8 TB capacity model priced at $sixteen,000 and a 4 TB mannequin priced at $eight,000. application licensing for cloud tiering is frequently a sever can charge, but some Dell EMC home outfit encompass 5 terabytes of cloud tiering as a Part of the initial buy. He referred to that Dell EMC offers around 60 p.c of the realm’s intention-developed backup appliances.

The smaller appliances demonstrate that organizations don’t utter the time should create a huge investment, Emsley said. “The deserve to protect statistics is a requirement of both wee and massive shoppers,” he added.

Dell EMC Avamar | actual Questions and Pass4sure dumps

Dell EMC Avamar is a hardware and application data backup product.

Avamar begun as a private company and changed into among the many first vendors to sell information deduplication software for backup statistics. EMC obtained Avamar for its deduplication technology in 2006, more than a decade earlier than Dell's blockbuster acquisition of EMC.

Dell EMC Avamar can too exist used in a number of data storage environments, and is available in integrated hardware and application or software-handiest options. Avamar application gives supply-primarily based deduplication, reducing information at the server before the data is moved to the backup target. it's diverse than the Dell EMC statistics domain platform that performs goal-primarily based deduplication at the disk backup equipment.

Avamar backups

Dell EMC Avamar performs full daily backups. keeping every day finished backups allows for for a single-step healing manner.

All Dell EMC Avamar deployments exhaust variable size information deduplication to Cut back redundant copies, which shortens backup home windows and cuts back on bandwidth exhaust by pass of simplest storing exciting changes. In far off environments, Avamar can exhaust current local enviornment community and vast enviornment community bandwidth. Avamar makes exhaust of RAID and RAIN know-how to reduce redundant statistics and extend vice tolerance.

Use situations

Dell EMC Avamar has a wide array of exhaust situations depending on the atmosphere it's used in. valued clientele can exhaust Avamar for:

Avamar for backup and restoration

  • Virtualized environments
  • NAS backups
  • Laptops and computers
  • far flung office backups
  • company-important purposes
  • Cloud catastrophe recuperation
  • Deployment options

    Avamar can too exist used with plenty of purposes, with utility modules for items from other companies such as IBM, Oracle, OpenStack and Microsoft.

    Dell EMC Avamar has 4 sever deployment alternate options, reckoning on the purchaser's hardware preferences or accessible supplies:

  • Avamar statistics redeem combines Avamar utility and a purpose-constructed backup appliance as a one-cease, integrated product. This option is most amenable for these looking to reduce down on setup time and evade working to combine the Dell EMC software with diverse hardware providers. Avamar records sustain may too exist scaled to 124 TB of deduplicated capability.
  • Avamar virtual version contains the backup utility and a digital equipment, which may too exist deployed in Azure, Hyper-V or vSphere.
  • Avamar traffic version is designed for midmarket businesses that may exist dealing with confined elements. The traffic edition includes a intention-built backup outfit and simplified management.
  • Avamar can even exist integrated with a actual Dell EMC information area system for introduced scalability and efficiency.


    Avamar servers are managed via a sole centralized console. As with the vendor's facts area gadget, Dell EMC Backup and healing manager is used to maneuver and display screen Avamar. No license is required to deploy Backup and healing supervisor for Avamar.

    EMC Backup recuperation associate (EMCBA) | actual Questions and Pass4sure dumps

    This seller-specific Certification is offered by means of:EMC2Hopkinton, MA USAPhone: 508-435-1000Email: This e mail tackle is being protected from spambots. You want JavaScript enabled to view it.

    skill stage: groundwork                          fame: active

    cost-effective: $200 (shortest track)               

    abstract:for individuals who can rehearse ideas and technologies used in backup and recuperation environments. The Backup recovery programs and structure examination is an associate even qualifying exam for the following EMC confirmed skilled Backup and recuperation specialty tracks: expertise Architect, Implementation Engineer and Storage Administrator.

    initial requirements:You should pass the Backup recuperation systems and architecture examination ($200). practicing is attainable however not required.

    continuing necessities:None detailed

    See utter Emc Certifications

    dealer's page for this certification

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    Exploring Workday’s Architecture | actual questions and Pass4sure dumps

    By James Pasley, (Fellow) Software evolution Engineer, Workday

    As they countenance ever-changing traffic requirements, their customers exigency to reconcile quickly and effectively. When they designed Workday’s original architecture, they considered agility a fundamental requirement. They had to ensure the architecture was springy enough to accommodate technology changes, the growth of their customer base, and regulatory changes, utter without disrupting their users. They started with a wee number of services. The abstraction layers they built into the original design gave us the liberty to refactor individual services and adopt current technologies. These same abstractions helped us transition to the many loosely-coupled distributed services they Have today.

    At one point in Workday’s history, there were just four services: User Interface (UI), Integration, OMS, and Persistence. Although the Workday architecture today is much more complex, they soundless exhaust the original diagram below to provide a high-level overview of their services.

    At the heart of the architecture are the remonstrate Management Services (OMS), a cluster of services that act as an in-memory database and host the traffic logic for utter Workday applications. The OMS cluster is implemented in Java and runs as a servlet within Apache Tomcat. The OMS too provides the runtime for XpressO — Workday’s application programming language in which most of their traffic logic is implemented. Reporting and analytics capabilities in Workday are provided by the Analytics service which works closely with the OMS, giving it direct access to Workday’s traffic objects.

    The Persistence Services comprehend a SQL database for traffic objects and a NoSQL database for documents. The OMS loads utter traffic objects into reminiscence as it starts up. Once the OMS is up and running, it doesn’t rely on the SQL database for read operations. The OMS does, of course, update the database as traffic objects are modified. Using just a few tables, the OMS treats the SQL database as a key-value store rather than a relational database. Although the SQL database plays a limited role at runtime, it performs an essential role in the backup and recovery of data.

    The UI Services uphold a wide variety of mobile and browser-based clients. Workday’s UI is rendered using HTML and a library of JavaScript widgets. The UI Services are implemented in Java and Spring.

    The Integration Services provide a pass to synchronize the data stored within Workday with the many different systems used by their customers. These services hasten integrations developed by their partners and customers in a secure, isolated, and supervised environment. Many pre-built connectors are provided alongside a variety of data transformation technologies and transports for structure custom integrations. The most favorite technologies for custom integrations are XSLT for data transformation and SFTP for data delivery.

    The Deployment tools uphold current customers as they migrate from their legacy systems into Workday. These tools are too used when existing customers adopt additional Workday products.

    Workday’s Operations teams monitor the health and performance of these services using a variety of tools. Realtime health information is collected by Prometheus and Sensu and displayed on Wavefront dashboards as time train graphs. Event logs are collected using a Kafka message bus and stored on the Hadoop Distributed File System, commonly referred to as HDFS. Long-term performance trends can exist analyzed using the data in HDFS.

    As we’ve grown, Workday has scaled out its services to uphold larger customers, and to add current features. The original few services Have evolved into multiple discrete services, each one focused on a specific task. You can secure a deeper understanding of Workday’s architecture by viewing a diagram that includes these additional services. Click play on the video above to behold the high-level architecture diagram gain detail as it transforms into a diagram that resembles the map of a city. (The videos in this post contain no audio.)

    This more minute architecture diagram shows multiple services grouped together into districts:

    These services are connected by a variety of different pathways. A depiction of these connections resembles a city map rather than a traditional software architecture diagram. As with any other city, there are districts with sever characteristics. They can trail the roots of each district back to the services in their original high-level architecture diagram.

    There are a number of landmark services that long-time inhabitants of Workday are close with. Staying with the city metaphor, users approaching through Workday pass arrive at the UI services before having their requests handled by the Transaction Services. Programmatic access to the Transaction Service is provided by the API Gateway. The close traffic Data Store is clearly visible, alongside a relatively current landmark: the huge Data Store where customers can upload great volumes of data for analysis. The huge Data Store is based on HDFS. Workday’s Operations team monitors the health and performance of the city using the monitoring Console based on Wavefront.

    User Interface Services

    Zooming in on the User Interface district allows us to behold the many services that uphold Workday’s UI.

    The original UI service that handles utter user generated requests is soundless in place. Alongside it, the Presentation Services provide a pass for customers and partners to extend Workday’s UI. Workday Learning was their first service to create extensive exhaust of video content. These great media files are hosted on a content delivery network that provides efficient access for their users around the globe. Worksheets and Workday Prism Analytics too introduced current ways of interacting with the Workday UI. Clients using these features interact with those services directly. These UI services collaborate through the Shared Session service which is based on Redis. This provides a seamless experience as users trail between services.

    Metadata-Driven Development

    This architecture too illustrates the value of using metadata-driven evolution to build enterprise applications.

    Application developers design and implement Workday’s applications using XpressO, which runs in the Transaction Service. The Transaction Service responds to requests by providing both data and metadata. The UI Services exhaust the metadata to select the confiscate layout for the client device. JavaScript-based widgets are used to display inescapable types of data and provide a affluent user experience. This separation of concerns isolates XpressO developers from UI considerations. It too means that their JavaScript and UI service developers can focus on structure the front-end components. This approach has enabled Workday to radically change its UI over the years while delivering a consistent user experience across utter their applications without having to rewrite application logic.

    The remonstrate Management Services

    The remonstrate Management Services started life as a sole service which they now mention to as the Transaction Service. Over the years the OMS has expanded to become a collection of services that manage a customer’s data. A brief history lesson outlining why they introduced each service will wait on you to understand their purpose. Click play on the video below to behold each service added to the architecture.

    Originally, there was just the Transaction Service and a SQL database in which both traffic data and documents were stored. As the volume of documents increased, they introduced a dedicated Document Store based on NoSQL.

    Larger customers brought many more users and the load on the Transaction Service increased. They introduced Reporting Services to maneuver read-only transactions as a pass of spreading the load. These services too act as in-memory databases and load utter data on startup. They introduced a Cache to uphold efficient access to the data for both the Transaction Service and Reporting Services. Further efficiencies were achieved by touching indexing and search functionality out of the Transaction Service and into the Cache. The Reporting Services were then enhanced to uphold additional tasks such as payroll calculations and tasks hasten on the job framework.

    Search is an considerable aspect of user interaction with Workday. The global search box is the most prominent search feature and provides access to indexes across utter customer data. Prompts too provide search capabilities to uphold data entry. Some prompts provide quick access across hundreds of thousands of values. exhaust cases such as recruiting present current challenges as a search may match a great number of candidates. In this scenario, sorting the results by relevance is just as considerable as finding the results.

    A current search service based on Elasticsearch was introduced to scale out the service and address these current exhaust cases. This current service replaces the Apache Lucene based search engine that was co-located with the Cache. A machine learning algorithm that they call the Query Intent Analyzer builds models based on an individual customer’s data to better both the matching and ordering of results by relevance.

    Scaling out the remonstrate Management Services is an ongoing task as they remove on more and larger customers. For example, more of the Transaction Service load is being distributed across other services. Update tasks are now supported by the Reporting Services, with the Transaction Service coordinating activity. They are currently structure out a fabric based on Apache Ignite which will sit alongside the Cache. During 2018 they will trail the index functionality from the Cache onto the Fabric. Eventually, the Cache will exist replaced by equivalent functionality running on the Fabric.

    Integration Services

    Integrations are managed by Workday and deeply embedded into their architecture. Integrations access the Transaction Service and Reporting Services through the API Gateway.

    Watch the video above to view the lifecycle of an integration. The schedule for an integration is managed by the Transaction Service. An integration may exist launched based on a schedule, manually by a user, or as a side sequel of an action performed by a user. The Integration Supervisor, which is implemented in Scala and Akka, manages the grid of compute resources used to hasten integrations. It identifies a free resource and deploys the integration code to it. The integration extracts data through the API Gateway, either by invoking a report as a service or using their SOAP or comfort APIs. A typical integration will transform the data to a file in Comma Separated Values (CSV) or Extensible Markup Language (XML) and deliver it using Secure File Transfer Protocol (SFTP). The Integration Supervisor will store a copy of the file and audit files in the Documents Store before freeing up the compute resources for the next integration.


    There are three main persistence solutions used within Workday. Each solution provides features specific to the kind of data it stores and the pass that data is processed.

  • Business data is stored in a SQL database which supports tenant management operations such as backup, disaster recovery, copying of tenants, and point-in-time recovery of data.
  • Documents are stored in a NoSQL database, which provides a distributed document store and disaster recovery. The Document Storage Gateway provides functionality to connect the NoSQL database with other Workday systems. It provides tenant-level encryption and links the documents to the traffic data so that documents are handled appropriately during tenant management operations.
  • Big data files uploaded by their customers are stored in HDFS. The assumption here is that the data loaded by customers will exist so great that it needs to exist processed where it’s stored, as opposed to being moved to where the compute resources are. HDFS and Spark provide the capabilities necessary to process the data in this way.
  • A number of other persistence solutions are used for specific purposes across the Workday architecture. The diagram above highlights some of them:

  • Performance Statistics are stored in HDFS. Note that this is a different installation of HDFS to their huge Data Store which is too based on HDFS.
  • Diagnostic log files are stored in Elasticsearch.
  • The Search service uses Elasticsearch to uphold global search and searching within prompts.
  • The Integration Supervisor manages the queue of integrations in a MySQL database
  • Worksheets stores some user-created spreadsheets in a MySQL database.
  • The UI Services access the Shared Sessions data in a Redis in-memory cache. The OMS services too exhaust a Redis cache to manage user sessions and to coordinate some activity at a tenant level.
  • The Media Content for products such as Workday Learning is stored in Amazon S3.
  • All of these persistence solutions too conform to Workday’s policies and procedures relating to the backup, recovery, and encryption of tenant data at rest.


    Workday Prism Analytics provides Workday’s analytics capabilities and manages users’ access to the huge Data Store.

    Click play to view a typical Analytics scenario. Users load data into the huge Data Store using the retrieval service. This data is enhanced with data from the transaction service. A regular flux of data from the Transaction Server keeps the huge Data Store up to date.

    Users explore the contents of the huge Data Store through the Workday UI and can create lenses that encapsulate how they’d dote this data presented to other users. Once a lens is created, it can exist used as a report data source just dote any other data within the Transaction Server. At run-time the lens is converted into a Spark SQL query which is hasten against the data stored on HDFS.

    Deploying Workday

    Workday provides sophisticated tools to uphold current customers’ deployments. During the deployment phase, a customer’s data is extracted from their legacy system and loaded into Workday. A wee team of deployment partners works with the customer to select the confiscate Workday configuration and load the data.

    Workday’s multi-tenant architecture enables a unique approach to deployment. utter deployment activity is coordinated by the Customer Central application, which is hosted by the OMS. Deployment partners secure access to a scope of deployment tools through Customer Central. Customers manage confederate access using Customer Central.

    Deployment starts with the creation of a foundation tenant. Working in conjunction with the customer, deployment partners select from a catalog of pre-packaged configurations based on which products they are deploying. Pre-packaged configurations are too available for a scope of different regulatory environments.

    The next step is to load the customer’s data into the huge Data Store. The data is provided in tabular figure and consultants exhaust CloudLoader to transform, cleanse and validate it before loading it into the customers’ tenant.

    Customer Central supports an iterative approach to deployment. Multiple tenants can easily exist created and discarded as the data loading process is refined and different configuration options are evaluated. The remonstrate Transporter service provides a convenient pass to migrate configuration information between tenants. These tenants provide the full scope of Workday features. Customers typically exhaust this time to evaluate traffic processes and reporting features. Customers may too hasten integrations in parallel with their existing systems in preparation for the switch over.

    As the go-live date approaches, one tenant is selected as the production tenant to which the customers’ employees are granted access. Customers may continue to exhaust Customer Central to manage deployment projects for additional Workday products or to uphold a phased roll-out of Workday.

    The primary purpose of these tools is to optimize the deployment life cycle. Initially, the focus is on the consulting ecosystem. As these tools reach maturity, customers gain more access to these features and functionality. In time, these tools will allow customers to become more self-sufficient in activities such as adopting current products, or managing mergers and acquisitions.


    Workday’s Operations team monitors services using the Wavefront monitoring console. The team too receives alerts through huge Panda. Health metrics are emitted by each service using either Prometheus or Sensu and sent over a RabbitMQ message bus to the metric processing backend. This backend then feeds the metrics to the monitoring console and the alerts to the alerting framework.

    Diagnostic Logs are collected through a Kafka message bus and stored in Elasticsearch where they can exist queried using Kibana. Performance Statistics are too collected by Kafka. They are stored in Hadoop where they can exist queried using Hive, Zeppelin, and a number of other data analytic tools.

    The Operations district includes a number of automated systems that uphold Workday’s services. These include:

  • Workday-specific Configuration management systems
  • Service Discovery based on ZooKeeper, which allows services to publish their endpoints and to ascertain other services
  • Key Management System to uphold encryption of traffic and data at rest.
  • The Tenant Supervisor which aggregates the health information from services and reports availability metrics on a per-tenant basis.
  • Conclusion

    Workday’s architecture has changed significantly over the years, yet it remains consistent with the original principles that Have made it so successful. Those principles Have allowed us to continuously refresh the existing services and adopt current technologies, delivering current functionality to their customers without negatively impacting the applications running on them or the other services around them. They Have improved and hardened the abstraction layers as they interject current functionality and trail existing functionality to current services. As a result, Workday reflects both their original architectural choices and the best technologies available today.

    Best Practices of Database disaster Recovery in the DT Era | actual questions and Pass4sure dumps

    With the arrival of the Data Technology (DT) era, enterprises Have become increasingly contingent on data. Data protection has become essential for enterprises, and only those who remove preventive measures with sufficient preparations can survive in disasters. In the Best Practices for Enterprise Database Session at The Computing Conference 2018, topics related to disaster recovery attracted much attention. This article introduces the best practices of using Alibaba Cloud database cloud product portfolios to tailor the disaster recovery solutions conforming to the evolution status of enterprises.

    The Value of Data for Enterprises

    Data is an considerable resource for the production of an enterprise. Once data is lost, the enterprise's customer information, technical documents, and monetary accounts may secure lost, which may hold back customer relation, transaction, and production. In general, data loss is classified into three levels:

  • Logical errors, including software bugs, virus attacks, and corruption of data blocks
  • Physical damages, including server damages and disk damages
  • Natural disasters, such as fires and earthquakes that may rip down the data centers
  • To cope with the economic loss caused by data loss, enterprises must remove disaster recovery measures to protect data. The higher the enterprises' degree of informatization, the more considerable the disaster recovery measures are.

    Enterprise-Class Database disaster Recovery System Definition of disaster Recovery

    Disaster recovery involves two elements: disaster tolerance and backup.

  • Backup is to prepare one or more copies of considerable data generated by the application systems or original considerable data.
  • Disaster tolerance is to deploy two or more IT systems with the same functions at two places that are far away from each other in the same or different cities. These systems monitor the health status of each other and uphold switchover upon failure. In case that a system stops working due to an accident (a natural or man-made disaster), the entire application system is switched over to another system so that the services are provisioned without interruption.
  • Pain Points of Backup
  • Backup failures
  • Slow recovery speed
  • Lossful recovery
  • High costs of remote backup
  • Low cost performance
  • Pain Points of disaster Tolerance
  • The disaster tolerance solution supports only a few scenarios and cannot meet requirements of scenarios with different data sizes.
  • The disaster tolerance solution lacks global control and management over the system because the exigency of monitoring of links and quick identification of faults.
  • The inspection capability is lacking.
  • The vice recovery costs are high, and it is difficult to create decisions in data verification, comparison, and correction.
  • Collaboration is difficult in switchover of multi-layer disaster recovery tools.
  • The contingency arrangement lacks properly control, and the O&M process cannot exist automated.
  • Deployment Solution

    An enterprise-class database disaster recovery system should exist selected based on traffic requirements and full considerations must exist given to the following factors: RPO, RTO, costs, and scalability. The system must too meet various requirements of database disaster recovery, including structure of the disaster recovery environment, data synchronization, monitoring and alarms, drills, failover, and data verification and repairing.

    Image title

    Core Products for Enterprise-Class Database disaster Recovery

    After multiple rounds of iteration, the outstanding disaster recovery capabilities of Alibaba Cloud products are well proved. The following core products can wait on enterprises develop the database disaster recovery solutions for different scenarios or to meet different requirements.

  • ApsaraDB for RDS is an on-demand database service that frees you up from the administrative task of managing a database, and leaves you with more time to focus on your core business. ApsaraDB for RDS is a ready-to-use service that is offered on MySQL, SQL Server and PostgreSQL. RDS handles routine database tasks such as provisioning, patch up, backup, recovery, failure detection and repair. ApsaraDB for RDS can too protect against network attacks and intercept SQL injections, animal constrain attacks and other types of database attacks.
  • Data Transmission Service (DTS) is a data streaming service provided by Alibaba Cloud to uphold data exchange between different types of data sources. It provides data transmission capabilities such as data migration, real-time data subscription, and real-time data synchronization. In a database disaster recovery solution, you can exhaust Data Transmission Service to implement data migration and real-time synchronization between various databases, laying a solid foundation for database disaster recovery.
  • Hybrid Backup Recovery (HBR) is a simple and cost-effective Backup as a Service (BaaS) solution. It protects customer data in a number of scenarios: enterprise even data centers, remote centers, fork offices, or on the cloud. HBR supports data encryption, compression, and deduplication, and helps you back up your data to the cloud securely and efficiently.
  • In a disaster recovery scenario, they recommend that you integrate other Alibaba Cloud products such as DRDS and OSS. These products Have undergone internal and external verifications of Alibaba Cloud and are proved to exist highly reliable. You can exhaust these products flexibly in the disaster recovery scenario.

    Typical Application Scenarios Real-Time Backup

    If you set tall requirements for data backup, for example, continuous real-time backup without affecting traffic operations, you can buy Database Backup Service to implement erotic backup of databases. This service supports real-time incremental backup and data recovery in seconds. The following pattern shows the architecture of the solution:

    Image title

    The architecture design is described as follows.

    Deployment of key components:

  • Two databases, including the production database and recovery database, are deployed in the local area and used for storage of production data and data recovery after faults occur, respectively.
  • The storage service is bought in two regions of Alibaba Cloud, for example, China (Shenzhen) and China (Qingdao). The storage service can exist remonstrate Storage Service (OSS) or Network Attached Storage (NAS).
  • Database Backup Service is bought for real-time erotic backup of the local databases to the cloud storage.
  • Backup of the off-cloud production data onto the cloud: (You can exhaust either of the following methods to back up the off-cloud production data onto the cloud.)
  • Deploy one more local storage system to back up the production data to the storage of the local IDC, and then copy this backup from the storage of the local IDC to the cloud storage.
  • Use Database Backup Service for direct erotic backup of data from the local production database to the cloud storage in two regions.
  • Data recovery:

  • If the production database fails but the storage runs normally in the local IDC, retrieve data from the local storage to the local recovery database.
  • If both the production database and the storage fail in the local IDC, or the local storage is not deployed, exhaust Database Backup Service to retrieve data from the cloud storage to the local recovery database.
  • Architecture characteristics:

  • Advantage: tall technical requirements, honorable consistency, and short recovery time.
  • Disadvantage: The RTO varies according to the size of the database.
  • Application scenario: The real-time backup solution is a sophisticated solution applicable to most relational databases.
  • Multiple Remote dynamic Backups

    You can find utter the following solutions in the enterprise-class database disaster recovery system: on-cloud elastic disaster tolerance, dual or multiple dynamic backups, and three centers in two locations. The following takes multiple remote dynamic backups as an instance to rehearse the solution. This solution supports data-level remote dual dynamic backups and one-click switchover to another data center to realize springy scale-up or scale-down and future linear expansion.

    Image title

    Deployment architecture

  • Unit-based reconstruction is performed on applications.
  • Data Transmission Service is deployed to realize bi-directional synchronization between databases in two or more locations, solving the intra-city sole point problem.
  • HDM is deployed to implement monitoring and management of the architecture with dual or multiple dynamic backups and supports switchover and failover.
  • The two data centers uphold read/write splitting, and local users read data from the nearest data center.
  • New Product: Database Backup Service

    As a database on-cloud backup channel, Database Backup Service is used together with OSS to develop a cloud database backup solution. It takes only five minutes for such a solution to implement real-time backup with a second-level RPO. (The RPO indicates the maximum duration allowed for data loss when the database fails. A smaller RPO is often desired.)

    Image title

    When Database Backup Service is deployed, the entire backup process is unlocked and does not screen any service requests on the databases. You can select to back up the entire instance or a table. Once a misoperation is detected, you can exhaust Database Backup Service to retrieve data at any time point. Data of the entire instance or the specified table can exist recovered to the state one second before the misoperation. Database Backup Service is available in multiple specifications, which meet the backup requirements of the database with a size ranging from hundreds of MBs to hundreds of GBs.

    Currently, the backup system time provided by Database Backup Service has been proved by massive users. Database Backup Service not only supports real-time backup and second-level RPO, but too has the table-level recovery capability. It helps users to retrieve only valuable data and the RTO can lessen to several minutes.

    It is worth mentioning that real-time backup has been tested in years of Double 11 shopping festivals. Database Backup Service will further provide the online query function. After a data backup task is completed, you can immediately hasten SQL statements to query backup data without waiting. You can too export the query results into outdo or Word files for further analysis, or generate Insert and supersede statements to amend data.


    alibaba cloud ,database ,database recovery ,database disaster recovery ,dt era

    Backup tool Selection Criteria | actual questions and Pass4sure dumps

    This chapter is from the reserve 

    Choosing a backup and restore tool is one of the most considerable decisions you will Have to make. The entire backup and restore architecture will exist built around that tool. The features, and evolution direction of the tool should exist evaluated in light of your current and future traffic requirements. Consideration of the stability of the tool vendor, property of their service, and even of technical uphold should exist included in the evaluation.

    The following section covers a wide scope of selection criteria that should exist taken into consideration when purchasing a backup tool.

    Architectural Issues

    The architecture of a backup tool is extremely important. The entire backup and restore infrastructure can exist enhanced or limited by the architecture of the underlying tool.

    Ask the following questions:

  • Does the architecture scale to uphold your current and future needs?

    NetBackup and Solstice Backup exhaust hierarchical architecture. Hierarchical architecture simplifies the function of adding nodes to a network of backup servers, and in structuring backup architecture appropriately for a particular organization. For example, a global enterprise may Have several datacenters around the world in which master backup servers can exist located. With hierarchical architecture, it is easy to add and delete slave backup servers beneath each master. This architecture can therefore exist scaled to a global level, while soundless providing required flexibility.

  • Is SAN uphold provided?

    A storage area network (SAN), is a high-speed dedicated network that establishes a direct connection between storage devices and servers. This approach allows storage subsystems, including tape subsystems, to exist connected remotely. Tape SANs enable the sharing of tape resources efficiently among many servers. Both the backup and restore tool and tape library must provide SAN uphold to create this possible.

    With a SAN, information can exist consolidated from increasingly remote departments and traffic units than was previously possible. This approach enables the creation of centrally managed pools of enterprise storage resources. Tape resources can exist migrated from one system on a SAN to another, across different platforms.

    SANs too create it feasible to extend the distance between the servers that host data and tape devices. In the legacy model, tape devices that are attached via a SCSI interface are limited to 25 meters. With fibre channel technology, distances of up to 10 kilometers can exist supported. This makes it feasible to exhaust storage subsystems, including tape devices, in local or remote locations to better the storage management scheme, and to offer increased security and disaster protection.


    At the time of this writing, tape SANs are not a viable solution for production environments. However, planning for a tape SAN will ensure your backup and restore architecture is well positioned to transition to this technology as it becomes production-ready.

  • Can backups to remote devices exist made?

    If a server hosts a wee amount of data, (less than 20 Gbytes) it can exist more convenient to back up over the benchmark network. Traditional network backups may exist chosen in some cases.

  • Remote and Global Administration

    Any widely distributed organization, needs to centrally manage and remotely administer the backup and restore architecture.

    The following questions should exist asked:

  • Does the tool uphold centralized administration?

    The VERITAS Global Data Manager (GDM) utility supports the concept of a global data master. This master-of-masters server enables central control of a set of master backup servers located anywhere in the world.

  • Does the tool uphold remote administration?

    The tool should uphold utter capabilities from any location including dial-up or low bandwidth networks.

  • Is electronic client installation available?

    Fast, easy software distribution of backup client agents should exist supported.

  • Is backup progress status available?

    The completion time of a backup should exist available, including the amount of data backed up so far and the remaining data to exist backed up.

  • Can historical reporting logs exist browsed?

    The tool should uphold an in-depth analysis of prior activity.

  • Does the tool provide disaster recovery support?

    It should exist feasible to retrieve data remotely across the network.

  • Are unattended restore operations supported?

    The unattended restore of individual files, complete file systems, or partitions should exist supported.

  • Are unattended backups supported?

    Does the tool Have the aptitude to schedule and hasten unattended backups. A backup tool generally has a built-in scheduler, or a third-party scheduler can exist chosen. great organizations commonly exhaust a third-party scheduler, since many jobs, not just backups exigency to exist scheduled. A greater even of control is offered by the script-based scheduling approach. If using a third-party tool, ensure the backup tool has a robust command-line interface, and the vendor is committed to backward compatibility in future versions of the commands that control the execution of the backup tool.

  • Automation

    Backup process automation is essential in any great organization as it is impractical to hasten backup jobs manually. The effectiveness of the entire backup and restore architecture is contingent upon the automated uphold provided by the backup tool.

    Ask the following questions:

  • Does the tool uphold automation of system administration?

    The tool should provide a robust set of APIs that enable customizing and automation of system administration. The API should allow customization by using benchmark or commonly accepted scripting language such as bourne shell, perl, or python.

  • Is there a GUI-based scheduler?

    It should exist easy to define schedules, set backup windows, and identify backups with meaningful names.

  • High Availability

    If the data source must exist highly available, then the backup and restore tool needs to uphold that requirement. This means both the tool, and the data it manages must exist highly available.

    Ask the following questions:

  • Is the backup tool, itself, highly available?

    This involves not only the backup and restore tool, but too the servers on which the tool runs. In a master-slave architecture, the master and slave software and hardware servers may exigency to exist designed using redundant systems with failover capabilities. The availability requirements of the desktop systems and backup clients should too exist considered.

  • What are backup retention requirements?

    Determine how long tape backups exigency to exist retained. If backing up to disk files, determine the length of time backup files exigency to exist retained on disk. The media resources needed to answer these requirements depends on the retention times and the volume of data being generated by the traffic unit.

  • Does the tool ensure media reliability?

    The backup and restore tool should ensure media reliability, and reliability of online backups.

  • Does the tool provide alternate backup server and tape device support?

    A failure on a backup server or tape device should understanding an automatic switch to a different backup server or device.

  • Does the tool restart failed backup and restore jobs for sole and multiple jobs?

    A backup or restore job could fail mid stream for any number of reasons. The backup tool should automatically restart the job from the point it left off.

  • Performance

    The performance of the backup architecture is censorious to its success, and involves more than just the performance of the backup tool itself. For additional information on this topic, behold Chapter 4 "Methodology: Planning a Backup Architecture" on page 63.

    Ask the following questions:

  • Will the backup tool performance meet your requirements?

    The efficiency of the backup tool—for example, the hasten at which it sends data to the tape devices—varies from product to product.

  • Does the tool's restore performance meet your requirements?

    The efficiency of the backup tool—for example, the hasten which it sends data to tape devices—varies from product to product.

  • Does the performance of a full system recovery meet traffic Continuity Planning requirements?

    If the tool will exist used in disaster recovery procedures or traffic continuity planning, it must meet those BCP requirements. For example, many BCP requirements specify a maximum amount of time for the restore of utter data files and rebuilding of any backup catalogs or indices.

  • Does the tool provide multiplexed backup and restore?

    To achieve optimum performance, the backup and restore tool should read and write multiple data streams to one or more tapes from one or more clients or servers in parallel. For additional information on multiplexing, behold Section "Multiplexing" on page 22.

  • Does the tool enable control of network bandwidth usage?

    The backup and restore tool should Have the option of controlling network bandwidth usage.

  • Is raw backup uphold provided?

    The backup and restore tool should exist able to backup raw partitions. Under some conditions raw backups can exist faster than filesystem backups. (See "Physical and rational Backups" on page 17.) Also, determine if an individual file can exist restored from a raw backup. (See "Raw Backups With File-Level Restores" on page 24.)

  • Is database table-level backup uphold provided?

    If there are situations where the individual tables in the environment can exist backed up, rather than always having to backup entire databases, it could significantly extend the performance of the backup architecture. The backup tool must uphold this option.

  • Does the tool provide incremental database backup?

    This is important, since it is impractical to backup an entire database every hour. Incremental backups significantly extend the performance of the backup architecture.

  • Ease-of-Use

    Ask the following questions:

  • Is it easy to install and configure the backup tool?

    For a great corporation this may not exist a major consideration, since it is feasible to exhaust the vendor's consulting services during product installation and configuration. For smaller organizations, ease of installation and configuration could exist more important.

  • Does the tool provide backward compatibility?

    Backup tool versions should exist compatible with earlier versions of the tool. This makes it feasible to retrieve data backed up with earlier versions of the tool. This too enables upgrading without having to change the backup architecture.

  • Are oversight messages are transparent and concise?

    If this is not the case, delays or difficulties could occur when attempting to retrieve data in an emergency situation.

  • Is message log categorization and identification provided?

    This function will create it easier to diagnose problems.

  • Is the tool's documentation transparent and complete?

    Good documentation is fundamental to skillful exhaust of the tool.

  • Does the tool's vendor provide training?

    A training package should exist included with the purchase of any backup tool. The vendor should exist available for on-site training of operations staff, and to supply documentation about the specifics of your configuration.

  • Does the vendor provide worldwide customer support?

    Technical uphold should available around the clock from anywhere in the world.

  • Ease-of-Customization

    The backup and restore architecture must exist springy and customizable if it is to serve the growing needs of a dynamic organization. Any efforts to design flexibility into the architecture can either exist enhanced or limited by the backup tool chosen.

    Ask the following questions:

  • Is it easy to customize the tool?

    No two environments are the same. Highly customized backup and restore infrastructure may exist needed to fully uphold traffic needs for a specific environment. It should exist feasible to modify the backup and restore tool to fortunate any requirements. For example, an environment may require a customized vaulting procedure. Or, an API may exist needed that makes it feasible to add and delete information from the file history database. This feature could exist used to customize the backup and restore tool to interface with legacy disaster recovery scripts that exigency to exist inserted into the file history database.

  • Does the tool provide state information from before and after a backup job is run?

    This function provides the aptitude to plot a wrapper around the backup tool. This is useful if a script needs to exist executed prior to running a database backup, for example, to shut down the database and execute related functions. Or, if after a full parallel export, to hasten another script to bring the database up.

  • Does the tool provide the aptitude to add and delete servers?

    Hierarchical architecture enables servers to exist added, deleted, and managed separately, but soundless exist encompassed into a sole unified master management interface. The hierarchical design allows for easy scaling of the entire backup and restore infrastructure.

  • Compatibility With Platforms and Protocols

    It is considerable that the backup tool supports the platforms and protocols specific to a business.

    Ask the following questions:

  • Is the tool compatible with your past, present, and future operating systems?

    Many different operating systems may exigency to exist supported in a heterogeneous enterprise environment. These could include; Solaris software, UNIX, Microsoft Windows, Novell Netware, OS2, NetApp, and others. The tool should backup and restore data from utter these sources, and should hasten on any server computer.

  • Does the tool uphold Network Data Management Protocol (NDMP)?

    NDMP is a disk-to-tape backup protocol used to backup storage devices on a network. NDMP supports a serverless backup model, which makes it feasible to dump data directly to tape without running a backup agent on the server. The backup tool should uphold NDMP if running wee network appliances which sequel not Have the resources to hasten backup agents. For further information on NDMP, depart to:

  • Compatibility With traffic Processes and Requirements

    The backup tool should uphold actual traffic needs. These comprehend the technology resources currently in place, as well as the day-to-day traffic processes within an organization.

    Ask the following questions:

  • Does the tool uphold leading databases and applications?

    Support should exist provided for utter leading databases and applications such as Oracle, Microsoft SQL Server, Sybase, Informix, Microsoft Exchange, and SAP R/3.

  • Are user-initiated backups and restores available?

    In some environments, a backup policy may exist in plot to provide easy-to-use interfaces for end-users that reduces system administrator intervention. In other environments, user-initiated backups and restores may exist prohibited. If user-oriented features are required, ensure the tool provides them.

  • Is vaulting uphold provided?

    Vaulting can involve managing tapes, touching tapes out of libraries after backups are completed, processing tapes, and transporting them offsite to external disaster recovery facilities.

    For example, NetBackUp's BP Vault facility automates the logistics for offsite media management. Multiple retention periods can exist set for duplicate tapes, which will enable greater flexibility of tape vaulting. It supports two types of tape duplication—tape images can exist identical to the original backup, or they can exist non-interleaved to hasten up the recovery process for selected file restores.

  • Can data exist restored in a springy manner, consistent with traffic needs?

    Depending on the different situations that arise from day-to-day, it may exist necessary to restore different types of data, such as a sole file, a complete directory, or an entire file system. The tool should create it easy to execute these kinds of operations.

  • Does the tool enable the exclusion of file systems?

    There are situations when this feature is crucial. For example, when using the Andrew File System (AFS) as a caching file system. To the operating system, AFS looks dote a local filesystem. But AFS is actually in a network "cloud", similar to NFS. It may not exist desirable to backup AFS partitions (or NFS partitions) that are mounted on an AFS or NFS client. For example, if backing up a desktop machine with different partitions mounted from other servers, you would not want to backup the other servers.

    With NFS, it is feasible to narrate when traversing into NFS space, however AFS is seamless and therefore any file systems that don't exigency to exist backed up should exist excluded.

  • Does the tool uphold the security needs of a business?

    The tool should uphold the security required by the operating system. If added data protection by encryption is required, the tool should uphold it.

  • Can jobs exist prioritized according to traffic priorities?

    Priorities for backups should exist based on importance. For example, a censorious database should remove priority over less considerable desktop data.

  • Does the tool uphold internationalization and localization?

    The backup tool should provide the aptitude to hasten under a localized operating environment.

  • Does the tool uphold Hierarchical Storage Management (HSM)?

    Will the tool uphold HSM directly or integrate with an HSM solution?

  • Backup Catalog Features

    The backup catalog lists historical backups, along with files and other forms of data that Have been backed up. This features of the backup catalog can exist considerable to the performance and effectiveness of the architecture.

    Ask the following questions:

  • Is an online catalog of backed up files provided?

    A file history catalog that resides in a database will enable the user to report out of the database, perhaps using different types of tools. For example, the file history catalog may reside in an Oracle database. However, the user may want to report with different reporting tools such as e.Report from Actuate Corporation, or Crystal Reports from Seagate. If the backup catalog resides in the database, the vendor should publish the data model. On the other hand, if the backup catalog resides in a flat file, no special database is required to read the catalog.

  • Does the tool provide the aptitude to quickly locate files in a backup database?

    It is considerable to quickly locate files or groups of files in the backup database. Tools that remove a long time can adversely move recovery times.

  • Does the tool provide the aptitude to modify the backup database through an API?

    If the backup catalog needs to exist programmatically modified, an API published by the vendor should exist used. If a standardized API is not available, it is not advisable to modify the backup database programmatically.

  • Does the tool provide historical views of backups?

    It should exist easy to determine which historical backups are available

  • Does the tool provide a dependable image restore?

    Restores should exist able to recreate data based on current allocations, negating the recovery of obsolete data. (see "True Image Restore" on page 24)

  • Can the backup catalog exist recovered quickly?

    If a catastrophic failure occurs, the tool should allow the backup catalog to exist quickly restored. This may involve retrieving the catalog and indices from multiple tapes.

  • Tape and Library Support

    Ask the following questions:

  • Does the media (volume) database provide required features?

    Indexing, tape labelling, customizing labels, creating tape libraries, initializing remote media, adding and deleting media to and from libraries, or using bar codes in the media database are functions that may exist required. It is considerable to exist able to integrate the file database with the media database. Additionally, the library will exigency to exist partitioned, for example, to designate slots in the library to inescapable hosts.

  • Is tape library sharing supported?

    Lower tape robotic costs can exist achieved by sharing tape libraries between multiple backup servers, including servers running different operating systems

  • Is tape management uphold provided?

    The backup tool should enable management of the entire tape lifecycle.

  • Does the tool uphold your tape libraries?

    Support should exist provided for utter leading robotic tape devices.

  • Does the tool uphold commonly used tape devices?

    Support should exist provided for utter leading tape devices.

  • Can tape volumes, drives, and libraries exist viewed?

    The tool should report on tape usage, drive configuration, and so forth.

  • Cost

    Backup and restore costs can exist complex, inquire the following questions:

  • What are the software licensing costs?

    Are software licensing costs based on; number of clients, number of tape drives, number of servers, or the size of the robotics unit? These costs will impact the backup architecture and implementation details.

  • What are the hardware costs?

    The architecture of a backup solution may require the purchase of additional tape drives, disks, or complete servers. Additionally, the backup architecture may require, or drive changes to your network architecture.

  • What are the media costs?

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