* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download The Low-Cal Database Environment
Encyclopedia of World Problems and Human Potential wikipedia , lookup
Commitment ordering wikipedia , lookup
Serializability wikipedia , lookup
Entity–attribute–value model wikipedia , lookup
Global serializability wikipedia , lookup
Microsoft Access wikipedia , lookup
Team Foundation Server wikipedia , lookup
Extensible Storage Engine wikipedia , lookup
Microsoft SQL Server wikipedia , lookup
Open Database Connectivity wikipedia , lookup
Ingres (database) wikipedia , lookup
Oracle Database wikipedia , lookup
Functional Database Model wikipedia , lookup
Microsoft Jet Database Engine wikipedia , lookup
Concurrency control wikipedia , lookup
Relational model wikipedia , lookup
Healthcare Cost and Utilization Project wikipedia , lookup
Versant Object Database wikipedia , lookup
ContactPoint wikipedia , lookup
The Database Diet Delivered by: Matthew Zito, Chief Scientist 156 5th Avenue Penthouse New York, NY 10010 P: 646.452.4100 www.gridapp.com Today’s Agenda • The Growing Database Waistline • High Blood Pressure for DBAs • The Low-Cal Database Environment • Healthy Alternatives • Build Better Management Muscles • Conclusion The Growing Database Waistline • Servers are incredibly under utilized – UNIX servers averaging 20-25% utilization – Windows/Linux servers average <15% utilization • Databases are getting bigger all the time – Relational databases are averaging 100% data growth annually – 50% more databases every year • Databases are getting more complicated – New types of data - XML, unstructured content – Clustering, data federation, etc. – Average large enterprise runs 4 different database products High Blood Pressure for DBAs • Tedious DBA Work – Provisioning, Patching – Auditing – Root Cause Analysis • “Bad” DBA work is ~75% of a DBA’s time • More stringent compliance and security requirements – Working with auditors and compliance teams – Fears of data loss make security critical • Shorter timeframes, longer work days, bigger golden parachutes for executives Case Study: DST Changes The Mini-Y2K • Due to the Energy Policy Act of 2005, DST is starting earlier this year • Patches – Windows patches for SQL Server – Oracle may require multiple patches – This is in addition to JRE patches, OS patches, etc. • Required process: – Evaluate each database server, versions, patch levels, etc. – Create a “scorecard” for each server – Identify required changes that are needed – Deploy patches – QA applications • Complex, time-sensitive, lots of work, and stressful The Low-Cal Database Environment • The Low-Cal Database Environment is: – – – – Simpler More efficient Easier to manage Healthier for everyone involved • Simpler – Fewer deployed configurations – Fewer versions of databases – Real-time tracking of changes The Low-Cal Database Environment • More Efficient – Get higher utilization of servers – Spend less time doing root-cause analysis – Make DBA teams more productive • Easier to Manage – Easier to understand how databases are configured – Clearly defined processes – Enforce standards and best practices Healthy Alternatives • Standard Configurations – Build a library of “approved” configurations, including file paths, patches, versions – Automate their deployment - script, software, etc. – Document standards • Real-Time Inventory & Config Mgmt. – Accurately track patch levels, configuration parameters, data files, changes, etc. – Allows teams to immediately identify noncompliant systems, missing patches, etc. – Track deployments and migrations in progress Build Better Management Muscles • Automated Patching – One person documents, tests, and scripts patch deployment – Other DBAs deploy – DBA teams get to focus on QA, scheduling downtime, etc. • Defect Remediation – Leverage real-time configuration management – Identify defects periodically (incorrect init.ora parameters, etc.) – Fix the issues – Continue tracking changes ongoing Long Term Benefits • More effectively take advantage of virtualization, RAC, Oracle Grids – Better multi-instance management – Scale the number of instances without scaling the management difficulty • More secure, stable database infrastructure – Up to date on patches – Tracking user changes to databases – Easier compliance with Sarbanes-Oxley, HIPAA, etc. Summary • Databases have become less efficient – More data and databases – More rules and regulations – More servers and complex technologies • Centralized management is key to a slimmer database environment – Better insight into activities – Automation eases administrative overhead – Standardization ties it all together GridApp’s Healthy Solution: Clarity Enterprise • GridApp Clarity™ – The only solution to deliver full visibility and control of the heterogeneous database environment – Provides an inventory of • All databases and patch levels • Configuration parameters and changes • Clustering configuration – Enables reconciliation between change control and user action – Supports major databases Oracle, SQL Server, Sybase – Cross operating system • Solaris • Linux • Windows • soon HP-UX and AIX GridApp’s Healthy Solution: Clarity Enterprise (cont.) • Automates error-prone, time-consuming, and manual tasks which: – assures accuracy and completeness – dramatically shortens time to do admin tasks – can improve time-to-market for new applications • Audits at the user and action level – Consolidates all audit activity across databases – Isolates exception DBA activity and quickly reacts – Tracks actions in a non-repudiated format • Clarity helps organizations view, measure, and gain control of their increasingly complex DB infrastructures. Clarity “Closed Loop” Solution 1 Discover & Inventory Centralize & Baseline 2 Define Standards Automated Enterprise Database Operations 4 Guarantee Compliance 3 Automated Patching, Provisioning, & Operations Schedule a Demo • Email [email protected] • SUBJECT LINE = Demo Download Companion White Papers: GridApp Clarity™ Patch Management • Email [email protected] • SUBJECT LINE = White Paper Q&A with Matthew Zito Chief Scientist Thank You!