October 19, 2021

Micro Frontend Architecture

The idea behind Micro Frontends is to think about a web app as a composition of features that are owned by independent teams. Each team has a distinct area of business it cares about and specializes in. A team is cross-functional and develops its features end-to-end, from database to user interface. ... But why do we need micro frontends? Let’s find out. In the Modern Era, with new web apps, the front end is becoming bigger and bigger, and the back end is getting less important. Most of the code is the Micro Frontend Architecture and the Monolith approach doesn’t work for a larger web application. There needs to be a tool for breaking it up into smaller modules that act independently. The solution to the problem is the Micro frontend. ... It heavily depends on your business case, whether you should or should not use micro frontends. If you have a small project and team, micro frontend architecture is not as such required. At the same time, large projects with distributed teams and a large number of requests benefit a lot from building micro frontend applications. That is why today, micro frontend architecture is widely used by many large companies, and that is why you should opt for it too.

CodeSee Helps Developers ‘Understand the Codebase’

As a developer, you’ve likely faced one problem again and again throughout your career: struggling to understand a new codebase. Whether it’s a lack of documentation, or simply poorly-written and confusing code, working to understand a codebase can take a lot of time and effort, but CodeSee aims to help developers not only gain an initial understanding, but to continually understand large codebases as they evolve over time. “We really are trying to help developers to master the understanding of codebases. We do that by visualizing their code, because we think that a picture is really worth a thousand words, a thousand lines of code,” said CodeSee CEO and co-founder Shanea Leven. “What we’re trying to do is really ensure that developers, with all of the code that we have to manage out there — and our codebases have grown exponentially over the past decade — that we can deeply understand how our code works in an instant.” Earlier this month, CodeSee, which is still in beta, launched OSS Port to bring its code visibility and “continuous understanding” product to open source projects, as well as give potential contributors and maintainers a way to find their next project.

Non-Coder to Data Scientist! 5 Inspiring Stories and Valuable Lessons

While looking for inspiring journeys I focus on people coming from a non-traditional background. People coming from non-technology backgrounds. People having zero coding experience. I guess this makes their story inspiring. All those who found their success in data science were willing to learn to code. They were not intimidated by the Kaggle notebooks that they were not able to understand initially. They all understood that it takes time to gain knowledge and pursued till they acquired all the required knowledge. Programming is one of the biggest show stoppers. It is this particular skill that makes many frustrated. It even makes them give up their passion for a career in data science. Programming is not exactly a hard thing to learn. ... Having a growth mindset plays a major role in data science. There are many topics to learn and it can be overwhelming. Instead of saying, I can’t learn math, I can’t be a good programmer, I can never understand statistics. People with a growth mindset tend to stay positive and keep trying.?

How To Stay Ahead of the Competition as an Average Programmer

Apart from getting the satisfaction of being helpful, it has multiple career benefits too. One, I get to learn a lot more by helping others. Two, continuously helping others builds trusted relationships within the organization.In the software industry, your allies come to your help more than you realize. They can return the favor during application integration, defect resolution, challenging meetings, or even in promotion discussions. If you know people and have helped them before, they will be happy to bail you out from difficult situations. Hence, never hesitate to help others at your workplace. ... Simultaneously, it might not be possible for you to be of help to everyone. But you can justify why you are unable to help. Being arrogant or repeatedly rejecting the requests as not your responsibility makes others think you are not a team player. ... While working in a team environment, you are bound to face challenges. You need to follow company policies and processes that you might find hindering your productivity. You will have to work with people who slow down the team’s progress due to their poor contribution.

A real-world introduction to event-driven architecture

An event-driven architecture eliminates the need for a consumer to poll for updates; it instead receives notifications whenever an event of interest occurs. Decoupling the event producer and consumer components is also advantageous to scalability because it separates the communication logic and business logic. A publisher can avoid bottlenecks and remain unaffected if its subscribers go offline, or if their consumption slows down. If any subscriber has trouble keeping up with the rate of events, the event stream records them for future retrieval. The publisher can continue to pump out notifications without throughput limitations and with high resilience to failure. Using a broker means that a publisher does not know its subscribers and is unaffected if the number of interested parties scales up. Publishing to the broker offers the event producer the opportunity to deliver notifications to a range of consumers across different devices and platforms. Estimates suggest that 30% of all global data consumed by 2025 will result from information exchange in realtime.

Pros and cons of cloud infrastructure types and strategies

A multi-cloud strategy simply means that an organisation has chosen to use multiple public cloud providers to host their environments. A hybrid cloud approach means that a company is using a combination of on-premises infrastructure, private cloud and public cloud — and possibly more than one of the latter, meaning that company would be implementing a multi-cloud strategy with a hybrid approach. At times, these terms are used interchangeably. Companies choose a multi-cloud strategy for a multitude of reasons, not least of which is avoiding vendor lock-in. Spreading workloads across multiple cloud providers increases reliability, as a company is able to fail over to a secondary provider if another provider experiences an outage. Optionality is a huge benefit to companies who want to be able to pick and choose which services will most seamlessly integrate into their environments, as each major public cloud provider provides some unique services for different types of workloads. Furthermore, when a company uses multiple public cloud providers, it retains flexibility and can transfer workloads from one provider to another.

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