Backup Methods from Practice
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1 Backup Methods from Practice Optimized and Intelligent Roland BASEL BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH
2 Our company. Trivadis is a market leader in IT consulting, system integration, solution engineering and the provision of IT services focusing on and technologies in Switzerland, Germany, Austria and Denmark. We offer our services in the following strategic business fields: O P E R A T I O N Trivadis Services takes over the interacting operation of your IT systems
3 With over 600 specialists and IT experts in your region. COPENHAGEN HAMBURG 14 Trivadis branches and more than 600 employees 200 Service Level Agreements Over 4,000 training participants DÜSSELDORF Research and development budget: CHF 5.0 million FRANKFURT Financially self-supporting and sustainably profitable BASEL FREIBURG STUTTGART BRUGG ZURICH MUNICH VIENNA Experience from more than 1,900 projects per year at over 800 customers GENEVA BERN LAUSANNE
4 Technology on its own won't help you. You need to know how to use it properly
5 Agenda 1. Introduction 2. Present Backup Situation 3. Oracle Features/Solutions 4. Intelligent Backup Management 5. Conclusion
6 DATA LOSS Does it happen?
7 Introduction
8 Reasons that argue for a Backup Top causes of data loss Human errors Hardware or system malfunctions Software corruptions Computer viruses and malware Natural disasters Murphy s Law Concatenation of circumstances Backup as a very last stopgap
9 High Availability and Backup Do we need a backup? We have Data Guard for Oracle and AlwaysOn for Microsoft SQL Server! High Availability does not replace the backup! Restore can help for: Disaster restore (Murphy s Law) Logical Corruption (unexpected feature) Restore for error analysis (system malfunction) Reverse mistakes that happened between the backrest and the keyboard
10 Present Backup Situation
11 Backup Load Peaks Source:
12 Backup Management Pains Fixed scheduling plans Redundancy of backed up data No adaption of the plan because of a changed situation Overlapping of backup jobs Different SLA requirements in terms of backup Decentral backup configuration Maintenance windows per server/database Difficult handling of different database categories Manual restore tests Backup monitoring
13 Reporting Current, past and future situation Only visible in the log files What is going on right now? Planned jobs in the near future Backup output (volume) and input (read I/O) Source of performance peaks Multi-client and central reporting Summary reports for the management/clients
14 Oracle Features/Solutions
15 Incremental Backup Strategy Reduces output volume Trade-off between cumulative and differential Depends on the load/change characteristic Block change tracking reduces read I/O input (only EE)
16 Backup Compression and Management Compression Reduce output volume to disk or tape Consider higher CPU load and extended backup window Algorithms: BASIC is default and free (EE/SE) LOW, MEDIUM and HIGH require advance compression option Usually impressive compression ratio Management Enterprise Manager Management/Configuration Scheduling Monitoring Reporting Single point of failure high availability
17 Zero Data Loss Recovery Appliance Intelligent and optimized backup storage Real-time redo transport (zero data loss) Incremental forever backups reduces the overhead Continuous backup validation (validate database) Virtual full backup for faster restore/recovery operations
18 Intelligent Backup Management
19 Underlying Idea of the Intelligence When do you gas up your car? Every Monday at 7am or before you are running out of gas? Trivadis uses the second option for gas and DATABASE BACKUPS! Why? Demand-oriented and resource friendly approach A central algorithm makes the decisions when backups are necessary Policy-based (SLA parameter) Situation-based (database/system load) Goal: Backup as little as possible and as much as required!
20 Pre-Requisites before you start Coding Before you code and configure, you need to think: 1. Analyze your environment Performance: load pattern, bottlenecks, concurrency Availability of services and data 2. Categorize your databases (Prod, Test or Small, Medium, Large) 3. Define clear metrics and thresholds as decision criteria (SLA parameter, database role, etc.) 4. Define suitable backup windows Write it down into a concept!
21 Typical Reasons for the Rolls Royce Solution Hundreds and thousands of databases Several to hundreds of servers Many different backup policy requirements Comprehensive reporting requirements for customers, auditors, management Databases differ substantially in size, transaction volume, load characteristic Simplify the administration Sustainable cost savings in terms of resources and manpower
22 Backup Framework Architecture
23 Proven Features (1) Intelligent backup scheduling from central repository Policy-based decision algorithm Demand-oriented scheduling plan, no fix intervals Even load distribution thanks to foresighted backup planning Situation, rating and decision data is kept (forever) Automatic detection and backup of new databases Central backup management (e.g. maintenance windows) Corrective actions in case of failures Emergency mode for the backup agent in case of repository disconnect
24 Proven Features (2) One policy/configuration for many databases SLA parameters (retention, RTO, transaction volume, frequency periods) Backup call definitions Backup windows RAC and Data Guard awareness Automated restore and or validation tests Backup reporting On the command line Management like in different formats (PDF, etc.)
25 Wise Decision Algorithm Metrics Interval ranges and time/maintenance windows Recovery time objective Archive destination free time target Redo volume percentage Current database role (Data Guard) Current backup load per database, per server, per pool (parallelism) Choose instance with lowest CPU/I/O load or latest startup time (RAC awareness) Error handling (retries) Forecasts next backup duration from previous runs and current redo volume Maximum system load thresholds to avoid backups
26 Added Values Efficiency Savings Quality and Transparency Safety and Risk Reduction Automation
27 Conclusion
28 Conclusion Don t underestimate the initial effort but it s worth Observe and improve continuously the algorithm and adjust policies Think before code (concept) Less backup runs lead to reduced volume and system load (up to 80%) Trivadis implemented a comprehensive solution as part of our tool TVD-Backup TM and we have a simulator tool to estimate the optimization potential
29 DOAG 2016 Booth: 3rd Floor next to the escalator Know how, T-Shirts, Contest and more We look forward to your visit Because with Trivadis you always win!
30 Thank you! Roland Stirnimann Business Development Manager
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