The value of common database tools and linked processes for Db2, DevOps, and Cloud
June 15, 2016 1 Comment
by Michael Connor, Analytics Offering Management
Today we released DB2 V11 for Linux, UNIX and Windows. The release includes updates to Data Server Manager (DSM) V2.1 and Data Server Driver connectivity V11 and Advanced Recovery Feature (ARF) V11. As many of you may be aware of – 2 years ago we embarked on a strategy to completely rethink our tooling strategy. The market was telling us we needed to focus more on a simplified user experience, a web console addressing both the power and casual user role, and deliver deep database support in support of production applications. In March 2015, we delivered our first iteration of Data Server Manager as part of 10.5. This year we have yet again extended capability to this valuable platform and in addition extended support across a number of IBM Data stores including DB2, dashDB, DB2 on Cloud, and BigInsights.
First let’s talk about some of the drivers we hear related to Database Delivery.
- The LOB and LOB developer communities want access to mission critical data and extend that data through new customer facing OLTP applications.
- Business analysts are using more data than ever – in generating and enhancing customer value through Analytic applications.
- These new roles need on demand access to data across all aspects of the delivery lifecycle from idea inception to production delivery and support.
- While the timelines are lessened, the data expanded and the lifecycle speeded up, quality cannot suffer.
Therefore, the DBA, Development, Testing, and Production support roles are now participating in activities known as Continuous Delivery, Continuous Testing, and DevOps. With the goal of improving customer service, decreasing cycle and delivery times, without decreasing quality.
Some areas that are addressed by our broader solutions for Continues Delivery, Testing, and DevOps include:
- High Performance Unload of production data and selective data environment, including test data environment restore with DB2 Recovery Expert
- Simplified test data management addressing discovery, subsetting, masking, and refresh with Test Data Management.
- Automated driving of application test and performance based workloads with Rational Functional and Performance Tester.
- Release Management and Deployment automation with Rational Urbancode.
And finally, areas improved with our latest DB2 releases
- SQL Development and execution with Data Server Manager
- Test and Deployment Data Server Monitoring with Data Server Manager
- SQL capture and analysis with Data Server Manager
- Client and application Data Access, Workload and Failover management with Data Server Drivers
The Benefits of considering a Continuous — Solution include reduced cycle times, lower risk of failure, improved application performance and reduced risk of downtime.
With the V11 Releases we have delivered enhancements including:
- DSM: DB2 LUW V11 support and monitoring improvements for PureScale applications, Extended Query history analysis
- ARF: DB2 LUW V11 support and improvements for Analytics usage with BLU Acceleration
- DS Driver (Also DB2 Connect): Manageability improvements, Performance enhancements, and extended driver support now for iMAC applications.
Many of the improvements noted above are also available for our private Cloud offering in preview DashDB Local – which leverages DSM as an integral component of their dashboard, and our public Cloud offering DB2 on Cloud.
Read more details about the announcement for further information: http://www-01.ibm.com/common/ssi/ShowDoc.wss?docURL=/common/ssi/rep_ca/9/872/ENUSAP16-0139/index.html&lang=en&request_locale=en
Also check out the DB2 LUW Landing Page: http://www.ibm.com/analytics/us/en/technology/db2/db2-linux-unix-windows.html
Blogger: Michael Connor, with Analytics offering management, joined IBM in 2001 and has focused early in his IBM career on launching the z/OS Development Tooling business centered on Rational Developer for z. Since moving to Analytics in 2013, Michael leads the team responsible for Core Database Tooling