Showing posts with label best practice. Show all posts
Showing posts with label best practice. Show all posts

Friday, May 17, 2024

Why my application is slow? - Database Connections

There are four pillars of great software, It needs to be robust, fast, modifiable, and secure. When you are in application development, speed is absolutely important. Users demand responsiveness, and any sluggishness can lead to frustration. One of the primary culprits behind slow applications is the improper management of database connections. Understanding how these connections operate and implementing strategies to optimize them can significantly enhance application performance.

Every database server uses a connection pool, a collection of connections that applications use for read and write operations. However, the number of connections within this pool is limited often governed by the CPU and memory capacity of the server. Each connection can only handle one operation at a time. So, the efficiency of managing these connections directly impacts the overall performance of the application.

Write Efficient Queries: One basic approach to mitigate connection limitations is to write efficient queries with appropriate indexing. Fast queries enable swift release of connections, allowing them to return to the pool for reuse by other operations. By optimizing queries, developers can ensure that database connections are utilized efficiently, thereby maximizing throughput.

Read Replicas: Read replicas for queries offer another way to expand connection availability. By distributing read operations across replicas, additional connections become accessible. But we must also understand, that while read nodes reduce the load on the primary database, they also increase synchronization delays between the master and replicas, potentially impacting data freshness.

Implement Multi-Master Databases: We can implement a multi-master database architecture that also addresses connection constraints. By enabling multiple nodes to accept write operations, this configuration distributes the workload and enhances scalability. Yet, the adoption of a multi-master setup introduces complexities related to data conflict resolution and consistency maintenance. Without proper implementation, the risk of data inconsistencies can impact the integrity of the system.

Adopt Microservice Architecture: You might consider adopting a microservice architecture, where each microservice has its own dedicated database. This decentralization gives us access to multiple databases, so more available connections. However, this introduces additional complexity, particularly regarding synchronization and transactions between microservices that require careful orchestration to maintain consistency across the system.

We need to optimize database connections to achieve optimal application performance. By following the best practices, we can effectively mitigate connection limitations and enhance throughput. However, it is important to have a balance between scalability and complexity, ensuring that the chosen strategies align with the specific requirements and constraints of the application. Ultimately, by prioritizing effective connection management, developers can unlock the full potential of their applications, delivering a seamless and responsive user experience.

#performance #scalability

Saturday, May 25, 2013

Rockstar Triangle

My entire career I have worked with very talented developers. I have seen their journey, how they evolved from a cowboy coder to a better programmer. But my observation is, being a great software developer is more than how good programmer you are. I call these great software developers “Rockstars”. I believe a rockstar developer can be defined with 3 core attributes.
  • Analytical Skill
  • Technical Know-how
  • Experience of best practices.

I put them on three side of a triangle. Let me I call it Rockstar triangle.



The area inside the rockstar triangle tells you how great software developer you are. The more area you have in there, it's good for you.

Now how do I define these three? Let’s start with Analytical Skill.  It’s part of our cognitive ability and hardwired to the brain. Wikipedia has the following definition “Analytical skill is the ability to visualize, articulate, and solve both complex and uncomplicated problems and concepts and make decisions that are sensical based on available information. Such skills include demonstration of the ability to apply logical thinking to gathering and analyzing information, designing and testing solutions to problems, and formulating plans.”

Why a great software developer needs great analytical skill? Well, that’s what we do, “apply logical thinking to gathering and analyzing information, designing and testing solutions to problems, and formulating plans.”” That’s the core, if you are not strong at analytical, go ahead, there is lot of other nice professions out there, be happy with them.

How would you know if you have great analytical skill? If you have it you probably already know. If you want to check as a programmer if you have it enough, one way to test your skill is to try some simple ACM problems.

Technical Know-how is the second biggest deal. You need a very strong, in depth, transparent vision of the technology you are working with. Don’t get me wrong, I am not talking about “Working Knowledge” that we play with our day to day business.  It's more of a complete understanding of the topic including how it was built, how it works and how it can be used. I think you can relate to the fact that in most cases we just deal with the last part - how it can be used. I always ask myself when I come up with a new technology, framework or component, could I build it myself. Until your answer is yes, well, you need to dig deeper.



Finally the best practices. You must learn and make them a part of your habit. By best practices I mean the design patterns, architectural patterns, SOLID principles, coding standards, code smells and refactoring, agile techniques, unit testing, dependency injections, AOP, NuGets, xml documentation of code and so on.  All this have to be inherent to you, anything you build should have these in them without much conscious effort. They are called practices; you have to practice them to get a grip on them.

Many developers works all around world who are building software. Most of them are just doing this in a way that they can. A rockstar would build software in a way that it's should have been built. The question is how far you will walk to achieve the perfection?