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Is DBaaS a possible strategic direction for your company’s IT infrastructure? In order to determine this, there are several issues you must address. This article lists the most common risks that require mitigation before embarking upon delegating all or most of your database storage and management to an outside firm.
Application and database definitions are now spread among multiple firms across multiple platforms. Business rules are implemented in (potentially) many places, and many support staff skills are not under your control. This raises the complexity of the application and increases the risks of failure during application changes, maintenance or upgrades. This article addresses how to measure and maintain the quality of your application when you take advantage of database as a service (DBaaS).
Providers of database as a service (DBaaS) promise to handle database tasks, including hardware acquisition, database management software installation and configuration, database definition, performance tuning, and backup and recovery. While this service can greatly shorten the time-to-market of a new application, there are certain risks inherent in delegating database management to an outside provider. In this article we address the risks, how should they be mitigated and what questions need to be addressed when choosing a DBaaS provider.
Many businesses have turned to providers of database as a service (DBaaS) to manage database creation and maintenance. Delegating these resource-intensive tasks to outside experts relieves the business from hardware acquisition and installation, software selection and licensing costs, and staffing for all these functions; however, after the application is up and running, who is responsible for performance tuning, and what should be managed first?
For the new entrepreneur who wants to implement a significant digitally-based service or sell products to customers on-line, the need to get their application written and implemented quickly is a strong one. Luckily, there are several services available to the business that wants to get its new application up and running in minimal time. In this article, we will concentrate on why you would consider having someone else host your database data, and what are the risks in doing so.
For most companies, IT-related hardware and software maintenance is costly, time-consuming and requires hiring and retaining a support staff of operating system and database management system specialists. Delegating these responsibilities to an outside firm allows a new application to be developed and implemented more quickly. However, there are issues with delegating database support to an outside service. In this article, we will concentrate on how these environments scale with application growth, especially if the data and services are stored in the cloud.
Vendors now offer Database as a Service (DBaaS) as part of a bundled solution of managed IT services. Delegating database management services to an external provider may have many benefits, but delegating database administration services has many hidden dangers. In this article, we focus on how delegating data modeling to an outside service can cause problems when making application updates, changing business rules or doing performance tuning.
The Database Administrator (DBA) is usually a technical professional who supports one or more hardware and software platforms that provide application solutions. However, technical details such as SQL tuning, hardware and software upgrades, and database designs tend to be tactical in nature. It is essential that the DBA also maintain a strategic outlook to get ahead of potential problems. Lockwood Lyon addresses two of these strategies: knowing application breaking points and preparing for future enhancements to big data applications.
Big data applications were once limited to hybrid hardware/software platforms. Now, recent advances are allowing applications like these to be integrated with and federated into operational systems. In particular, IBM's DB2 for z/OS Version 12 delivers new features and functions that allow the DBAs to design, define and implement very large databases and business intelligence query platforms that fulfill some big data expectations.
Your big data application needs regular extracts from your production systems. While many best practices exist for big data extract, transform and load (ETL) processes, we sometimes forget that these data-intensive procedures can affect the operational environment’s performance. Here are some suggestions to mitigate such performance risks.
Big data applications start big and keep growing. As the masses of big data being analyzed grow both in size and complexity, the hardware and software communities have responded with huge storage offerings and massively parallel storage and retrieval mechanisms. The logical next step is for the IT enterprise to take advantage of these technological innovations for things other than classical big data processing.
While the performance of a mission-critical application sometimes takes center stage, IT staff are always aware that the performance of the overall system affects all applications. Database management systems, operating system software, physical data storage and retrieval, and backup and recovery operations all take part in providing a solid infrastructure for applications. For many customer facing applications, such as on-line transaction processing, the database management system is the key component.