Webinar_CloudOps final.pptx
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Database automation tools are needed to automate repetitive tasks, reduce risks from manual errors, improve alignment between business and IT, and allow organizations to move faster. They help keep systems running smoothly through monitoring, provisioning, backup/restore, maintenance, security, and more. When choosing a tool, organizations should consider ease of implementation, breadth of use cases covered, ability to work on-premises and in the cloud, long-term costs, customizability, learning curve, and do a trial run.
Webinar_CloudOps final.pptx
- 1. Why database automation tools are needed? And, how organizations are using them today?
- 2. Keeping the IT lights ON
- 3. Alignment of Business Automate repetitive tasks Inch closer to IT service excellence Improve the alignment of Business Costs Automate repetitive tasks Reduce overall IT costs to reduce operational costs Risks Manual errors and intervention Reduce downtime risks and adhere to compliance Speed Faster Go To Market Business Speed = IT Speed What Businesses require >
- 4. Production Servers DBAs • Monitoring • Provisioning • Backup/Restore • Regular Maintenance • Performance Tunning • Database Security Operations • Integration with DevOps & Automation • Data Governance • Advanced-Data Security • Data Engineering (ML/AI) • Data Solution Architecting • Pre-Sales • Migration Projects The Future of Data Management activities
- 5. Check for ease of implementation into your existing Infrastructure - both with agent as well as agentless Does the tool cover 60-70 % of the use cases you are looking for? A single tool for multi-technology and multi-use cases Can it work on Public, Private, and Hybrid clouds with an on-prem setup? If it is a cloud-based SaaS product, check the long-term cost, support, and updates How to choose the right tools?
- 6. It needs to be highly customizable to achieve your current and future goals. Choosing Open Source ensures that, making it a popular choice today Check for at least 2-3 years of costs, support, and overall investment. Look out for hidden fees, underlying software license costs etc. Gauge the learning curve for you and your team Try it before you buy it How to choose the right tools?
- 7. Poll time!
- 8. Thank You