For any product owner, launching a product is an exciting occasion, especially after months of painstakingly creating every feature. You are finally one step away from the big launch when all of a sudden a CxO poses a question that might change everything:

"How many users can it handle concurrently?"

Developer’s Approach

The immediate response often involves the DevOps team:

"Let’s discuss this with the DevOps team to understand how we can create an auto-scalable system to ensure zero downtime."

But is an auto-scalable system the solution to every system architecture problem?

The Realities of Auto-Scalability

The answer is a big "no." While auto-scalability is a powerful tool, it can unnecessarily increase infrastructure costs when it's not needed.

The Alternative: Instance-Based Solutions

A more traditional approach might involve a classic instance-based solution. However, this raises a new question:

"When should we consider scaling the system and the approach should horizontal or vertical?"

Challenges with Scaling

Using system-level warnings (such as those from Monit or other monitoring tools) is one way to solve this problem. But frequently, these signals only give a brief window of time to organize and carry out upgrades. This becomes more difficult when the product expands, particularly for B2B solutions where it might be practically impossible to anticipate overloads due to the enormous number of customers being onboarded at once.

The Solution: Load Testing

A load test must be conducted in order to address these issues. This method aids in determining the existing architecture's limitations. Like many developers, we suggested building a test suite to mimic large request volumes and identify the system's limitations.

Let's examine what, why, and how in more detail.

What is K6?

K6 is a developer-focused, open-source tool for evaluating your system's performance and resilience under stress. K6 was developed by Grafana Labs and provides easy scripting, powerful analytics, and smooth connection with development processes. K6 is a great option for developers as well as product owners looking to confirm system readiness because it places a higher priority on usability and simplicity than standard load testing solutions.

The Product Owner’s Perspective: Why K6?

Your main objective as a product owner is to provide a flawless user experience. K6 facilitates actionable and accessible load testing. Here's why it's so important:

1. Ease of Use

K6 uses JavaScript something with which most the developers are already familiar.

How is it different from writing your own scripts?

K6 allows you to easily convert existing Postman collections into K6 scripts:

#If you are using npm as package manager in case of yarn please refere the tool documentation.
npm install -D @apideck/postman-to-k6

postman-to-k6 collection.json -o k6-script.js

This generates a script like the one below:

// Auto-generated by the postman-to-k6 converter
import "./libs/shim/core.js";
import "./libs/shim/urijs.js";

export let options = { maxRedirects: 4 };

const Request = Symbol.for("request");
postman[Symbol.for("initial")]({
  options,
  collection: {
    localhost: "http://localhost:33001",
  },
});
...

Run the test script using:

k6 run k6-script.js

2. Actionable Insights

K6 provides clear, meaningful metrics that translate directly into business outcomes, such as improved uptime and user satisfaction.

3. Proactive Risk Mitigation

Identify bottlenecks and vulnerabilities before launch, saving time and money on post-launch fixes.

Simplifying the Complex: Key Metrics and Reporting

K6 focuses on metrics that matter:

• Response Time: The most important aspect for any product owner.

• Error Rate: Tracks the percentage of failed requests to understand where to set the limit.

• Throughput: Calculates the number of requests handled per second to give us an idea about when to plan for our next upgrade.

These metrics helps the product owners to evaluate system health and pinpoint areas for improvement.

Tips and Tricks for Maximum Impact

To make the most of K6:

1. Start Small: Begin with basic API requests and gradually move towards complex systems.

2. Focus on Realism: Try to apply DDD(Domain driven design) to make sure it emulates a user who is going to use the system in future.

3. Automate Testing: Always move to CI/CD pipelines to make sure this run before each build to give you proper indication to pre plan the upgrade.

4. Analyze Trends: Analyze the change in the metrics to understand the system health impact with each release.

Conclusion: Build Confidence Before Launch

System architecture is the backbone of any successful product launch and it can also screw things easily if not taken care promptly. So always test before claiming the system’s capabilities i.e. Apply Show no tell methodology (by Mr. Swanad Pagnis). This way you will be able to have a good night sleep after the launch of the product.

Special thanks to Syed Hassanand Anuj Verma for suggesting K6 and sharing their insights into load testing.

Lightning-Fast JavaScript Bundling

ESBuild is known for its exceptional speed in bundling JavaScript code. With the introduction of the ESBuild bundler in Rails 7, developers can benefit from lightning-fast JavaScript bundling during the asset pipeline process. The ESBuild bundler leverages a highly optimized and parallelized approach to bundling, resulting in significantly reduced build times. This improvement in performance allows developers to iterate quickly and efficiently, boosting productivity and development speed.

Seamless Integration with Modern JavaScript Frameworks

Rails 7's ESBuild bundler seamlessly integrates with modern JavaScript frameworks such as React, Vue.js, and Angular. These frameworks have gained popularity due to their component-based architecture and rich ecosystem of libraries and tools. The ESBuild bundler simplifies the integration process, allowing developers to effortlessly incorporate these frameworks into their Rails applications. This integration empowers developers to leverage the benefits of modern UI frameworks while still enjoying the productivity and conventions of Rails.

Tree-Shaking and Dead Code Elimination

Tree-shaking is a technique that eliminates unused code from the final bundled JavaScript, resulting in smaller file sizes. The ESBuild bundler in Rails 7 supports tree-shaking, enabling developers to optimize their UI code by removing unnecessary dependencies. By eliminating dead code, the resulting JavaScript bundle is smaller, loads faster, and reduces bandwidth usage for end-users. This optimization enhances the overall performance of UI components and contributes to a smoother user experience.

Automatic Polyfilling

ESBuild offers built-in automatic polyfilling, which simplifies the process of supporting older browsers and ensures that modern JavaScript features are compatible across a wide range of user devices. The ESBuild bundler in Rails 7 seamlessly handles polyfills, automatically adding the necessary code to support specific JavaScript features for targeted browsers. This feature eliminates the need for developers to manually manage and configure polyfills, reducing complexity and saving valuable development time.

Improved Development Workflow

The ESBuild bundler in Rails 7 enhances the development workflow by providing real-time bundling and hot module replacement (HMR) capabilities. Real-time bundling eliminates the need to manually trigger bundling when changes occur, enabling developers to instantly see the impact of their code modifications without disrupting their workflow. HMR allows for dynamic updates of UI components in the browser, eliminating the need for page refreshes. This feature greatly speeds up the development process, enabling developers to see immediate changes as they code, resulting in a more efficient and interactive development experience.

The ESBuild bundler in Rails 7 brings a range of enhancements to UI development, offering significant advantages for developers. Its lightning-fast bundling, seamless integration with modern JavaScript frameworks, tree-shaking, automatic polyfilling, and improved development workflow contribute to a streamlined and efficient development experience. By adopting the ESBuild bundler, Rails developers can harness the power of modern UI development practices, resulting in highly performant and feature-rich user interfaces. With Rails 7 and the ESBuild bundler, UI development in Rails applications reaches new heights, enabling developers to create exceptional web experiences with speed and ease.

GANs are composed of two main components: a generator and a discriminator. The generator is responsible for generating new data that is similar to a training set of data, while the discriminator is responsible for distinguishing between the generated data and the real data.

During training, the generator tries to generate data that is as similar as possible to the real data, while the discriminator tries to identify the generated data as fake. Over time, the generator becomes better at generating realistic data, while the discriminator becomes better at identifying fake data.

One of the most well-known use cases of GANs is the generation of realistic images. GANs have been used to generate high-quality images of faces, landscapes, and even fictional creatures. These images can be used in a variety of applications, including video games, movies, and virtual reality.

Another use case of GANs is in the field of music generation. By training a GAN on a set of musical compositions, it is possible to generate new compositions that are similar in style and structure to the original compositions. This can be used in a variety of applications, such as background music for videos and games, or even as a tool for composers to generate new ideas.

GANs can also be used in the field of natural language processing (NLP). By training a GAN on a large corpus of text, it is possible to generate new text that is similar in style and tone to the original text. This can be used in a variety of applications, such as chatbots, automated writing, and even in the generation of news articles.

In addition to these use cases, GANs have also been used in a variety of other applications, such as video processing, medical imaging, and even in the generation of 3D models.

However, it is important to note that GANs are still a relatively new technology, and there are still many challenges that need to be overcome. One of the biggest challenges is the problem of mode collapse, where the generator produces a limited set of outputs, rather than exploring the full range of possibilities. Another challenge is the problem of training stability, where the training process can become unstable and lead to poor results.

Despite these challenges, GANs have the potential to revolutionize many fields, and we are likely to see more and more applications of this technology in the coming years. As the technology continues to evolve, we can expect to see even more impressive results, and GANs may become a key tool for generating new and creative content in a variety of industries.

Smart housing is a growing market with the increasing popularity of smart home devices. Smart homes use connected devices to automate tasks and provide users with greater control over their living spaces. These devices collect vast amounts of data, such as temperature, humidity, energy consumption, and security, which are stored in the cloud for analysis. However, this approach has its limitations, as cloud computing may not always be the most efficient way to process data from IoT devices, especially in situations where real-time data processing is required.

Fog computing aims to address these limitations by moving the data processing closer to the edge of the network, at the device or gateway level. This approach allows for faster data processing, reduces network latency, and saves on bandwidth costs. With Fog computing, data is processed at the edge of the network, and only relevant data is sent to the cloud for further processing and analysis.

The implementation of Fog computing in smart homes has several advantages. Firstly, it enables faster response times and real-time data analysis, which is essential for applications such as home security and energy management. Secondly, Fog computing reduces the dependency on the cloud, which is especially useful in situations where network connectivity may be limited or unreliable. Finally, it also provides greater control over data privacy and security, as sensitive data can be processed and analyzed locally, without being sent to the cloud.

There are several challenges to the implementation of Fog computing in smart homes. Firstly, there is a need for standardized protocols and interfaces to ensure interoperability between devices and gateways. Secondly, there is a need for efficient resource management, as Fog computing requires significant computing resources at the edge of the network. Finally, there is a need for effective data management, as data processing and analysis can generate large amounts of data, which need to be efficiently stored and managed.

In conclusion, Fog computing is an exciting new paradigm that has the potential to transform the way we interact with our homes. With the increasing popularity of smart homes and IoT devices, the implementation of Fog computing in smart homes is becoming more critical. Although there are several challenges to overcome, the benefits of Fog computing, such as real-time data analysis and reduced network latency, make it an attractive option for the future of smart housing.

I started my journey as a tech intern with Josh Software, Inc. when Corona was just a beer brand. I have learned a lot as a Software professional and here are a few key points that might help you grow as a tech professional.

1. Always open to exploring new things.

“You can't connect the dots looking forward; you can only connect them looking backwards. So you have to trust that the dots will somehow connect in your future.” - Steve Jobs

Being open to learning new things is always the best choice compared to not even trying because you never know how that will unfold. I can tell you my experience with learning new technologies along the way in my career and it’s been a thrilling experience every time I learn a new thing.

2. Interact with new people every day.

In the last 3 years, our company has grown immensely nearing 5 folds from it was when I joined as an intern. During these years, I interacted with most of the people who joined the company and discovered how much you can learn from their experiences. Eventually, you’ll learn how new technology trends are changing the way of app development (from native to cross-platform app development) just by interacting with a flutter developer or you will understand the nuances of management by interacting with a client-facing team within your company.

3. Never hesitate to share your opinion.

One of the best things that happened to me that was I joined a company having a flat hierarchy structure where everyone gets an opportunity to add their opinions at any time irrespective of the designation. From this culture, I learned one thing you should always share your opinion in all the tech or non-tech discussions (where you’re involved primarily in direct/indirect capacities). This helps you to build a mindset of understanding the primary objective of the discussion and understand the reasoning behind the final decision. In addition to this, you’ll be having a breath-taking discussion on your opinions’ opinions, and you will be able to fill up the knowledge gap at a faster pace.

4. Make new mistakes.

Never allow the same bug to bite you twice. - Steve Maguire

Mistakes are part and parcel whenever you try to explore new horizons. And I have seen that I have never learned that much from non-buggy code than from buggy code. So do make mistakes just never repeat the same mistake. But this never certifies that you always have to make mistakes, as success has its taste.

5. Learn when to give up.

I know we have been taught to "Try, try but don't cry" but as a developer, you should learn when to give up and either take help from your peers or seniors, and even sometimes taking a break from that hustle helps. So do learn to have some coffee/TT breaks, as any poison like these keeps your productivity motivated.

6. Find yourself a lifelong mentor.

The IT industry is so vast, and with so many paths to try and go ahead. It's quite hard to try everything and then choose the best. So do find a mentor (preferably in the same organization) who will guide you with his/her experience over the course of his/her career.

I have shared my own experiences and insights gained from my professional life, I recognize that everyone's experience is unique. What worked for me may not necessarily work for others, and there may be other valuable perspectives and approaches to consider. I am open to feedback and correction, as my intention is to offer a helpful and informative perspective as a professional.