Why does Performance Tuning Also Matters in Cloud Databases

Why does Performance Tuning Also Matters in Cloud Databases

Why does Performance Tuning Also Matters in Cloud Databases

Moving to the Cloud is the big buzz word today in the IT world. Because of this popular hype, many business databases are moving towards the cloud-primarily because it is considered safer and more affordable. This is true on the surface as most business owners want to curb the complexities they face when they have their databases on the premise, and maintaining them costs them a sufficient amount of time and money. 

Cloud databases give you the benefits of redundancy and security together. Several cloud database solutions support an instant growth benefit that promises the business to trigger growth without the addition of any hardware, personnel, or expensive expansions on the premise. Experienced and qualified DBAs maintain that performance tuning of any database is primarily a science; however, in the cloud versus on-premise systems, it can be said to be an art. The business needs to consider the nature of the company, the professionals conducting the performance tuning of the database, and the systems involved in the process.

Take into account the performance metrics

In addition to the above, you need to consider the performance metrics associated with the Cloud database versus the on-premise database. These metrics depend on the activities, roles, and different perspectives that need to be considered. Performance tuning has similar objectives and goals for both the cloud and on-premise databases; however, there is a very big difference in the layers of abstraction and services that restrict the offerings on the service platform and the roles that play in the definition of the performance models. 

Evaluating performance when it comes to the Cloud database versus the on-premise systems 

For the on-premise system, performance measures all of the physical components and the logical components, combined, namely hardware and the software stack. In the mode of distributed architecture that is generally on the premise, multiple applications and servers affect performance. This is why the details of implementation and integration are crucial for assessing database performance effectively. 

What is the result of these performance roles? 

The reason why you have performance tuning is that you have issues in the database. They come in the form of the users complaining, the pages loading slowing, and the generation of reports that take a very long time to execute. When you compare on-premise database performance issues to the cloud database, a leading name in the field of data management and administration RemoteDBA.com says that the issues generally appear different to everyone that is adversely affected by the poor performance of the database, like system administrators, VM administrators, cloud engineers, application developers, cloud administrators, web administrators, and database administrators. Others in the business can be impacted differently, too. Experts in a specific area tend to explore these performance metrics within their area and the scope of responsibility. However, there are times when determining the root cause of the performance tuning issue demands a team effort. 

When the performance roles in both the cloud versus the on-premise database are taken into consideration, the cloud service providers deploy performance engineers that function across teams and perform a unique case study of the database environment. Besides identifying the business opportunities that use specific metrics for analysis of the whole system, they generally need to focus on a good toolset that should be used for performance monitoring round-the-clock across the whole environment. In this way, they can plan the capacity for the total estate. 

An insight into a performance model 

When the business creates a performance model for the database, they define important aspects of how it functions. This also extends to the database resources that the system takes and its metrics the IT professionals use to assess the performance. 

Best practices for the performance model 

When it comes to working with a performance model, qualified and skilled database administrators should consider the following best practices to follow- 

  1. Performance baselines and objectives should be set out. You must know about the performance goals that you want your system to achieve. For this purpose, the business needs to determine a baseline first. 
  2. Prototype the hardware and the software. This will create an intuitive database environment that will serve the needs of the workload and meet the need of the end-user 
  3. Analyze the performance of the workload. This can be conducted by basic or purchased models, real-time monitoring with data visualizations, and the analysis of observational results versus the experimental results. 
  4. Test the software builds for performance tuning, both before and after release, to ensure the performance of the database is not hindered
  5. The software released should be benchmarked or baselined as this will help in the troubleshooting of bugs in both the hardware and the software. 
  6. Execute a proof of concept in the targeted environment as this allows the business to evaluate the real-time performance of the database. 
  7. The business should select the correct service-tier. This will impact the performance of the database positively. 
  8. Use the right tools to monitor the performance of the database. This system will give you an accurate insight into both the historical and current system’s current performance.
  9. Document all the analysis for performance issues- It is crucial for the business to document all the steps for performance tuning extensively. There should be no difference between the on-premise and the cloud database. 
  10. The business should execute performance tuning both on the cloud and on-premise databases- There are performance issues on cloud databases that businesses should take note of, especially during the introduction of other tenants. 

When a business creates a performance model with the above 10 best practices, it is deemed to witness positive performance tuning results. Many businesses have used this successfully for their business. These practices apply to both databases on the cloud and on-premise giving multiple options for the business to work with. Embracing them will offer businesses the chance to boost end-user experience and their reputation in the market too. Use it to see and experience the benefit on your own.