Continuous Performance Analysis

A performance analysis identifies which part of your product slows down, stalled, and might cause problems down the road.
Usually, performance issues are not detected during the normal quality assurance process because they appear in the production stage. For example, problems in the database might occur when a high volume of queries or user storage is reached. At that point, it becomes apparent that a weak code structure or architecture has provoked a system break.

Because of a product’s evolving nature, it’s crucial to monitor a software's performance continuously.

For a business, uncovering code flaws early on can make or break your brand. Solving structural problems before it affects the end-user will solve a substantial amount of maintenance and time (not counting the headaches).

A lack of monitoring often causes temporary shutdown issues, round-the-clock debugging and engineering, and loss of user and revenue.

Performance monitoring has other significant advantages for your team. Testing and tracking at every new update, new code release, or new integration keep your organization accountable. Product quality improves, code reworks are rarely necessary, user retention compound and results show on your bottom line.

Catching flaws later in the development process forces business to shut down components, rewrite complete products, miss important product release dates, and ultimately cause revenue loss.

From day one, any company should automate its performance analysis process.

Increase Product Quality

Our goal at CodeAttest is to identify any performance issue and find ways, processes or system structures to improve your technology stack for the long term.

In any software business, the engineering team needs to release updates and new code quickly. A software performance analysis can support and detect any flaws that may appear — this, in turn, improves the product quality.

The end goal is to reduce technical debt while at the same time maximizing business value from the application.

Here are a few more examples of advantage:

  • Improve your transaction system’s processing speed;
  • Overcome late deployment;
  • Drop unnecessary appliances;
  • Reduce software maintenance and operational overhead;
  • Increase prototyping speed and software capability.

Find and Correct Weak Points

Our performance analysis process identifies any weak points and areas of focus that need structural improvement.

Here’s how we approach each project:
Identify key functionalities and components affecting performance;
Register performance issue by running dynamic tests on critical components;
Identify poor coding structure in the source code using automated tools. (low-margin of error)
Test code performance against industry standard (database robustness, resource leakage, CPU load)
Address weaknesses and propose structural improvement.
Retest new code structure

Over the years, we’ve completed a large number of performance analysis for various industries. Businesses of all sizes can reliably count on our technical ability to take their product to the next level.

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