In today’s complex technology landscape, observability is crucial for ensuring optimal performance and troubleshooting issues. Open Telemetry is an open-source project that simplifies the collection, analysis, and visualization of telemetry data, making it easier to optimize your applications. In this blog post, we’ll dive into the benefits of Open Telemetry and explore how it streamlines observability to help you achieve your performance goals.

1. Introduction
2. Understanding Chaos Engineering
3. Implementing Chaos Engineering in your Workflow
4. Best Practices for Building Resilient Applications
5. Conclusion

Read the “Introduction” sectionIntroduction

Chaos Engineering is a software development practice that helps organizations build more resilient and reliable applications by proactively seeking out and fixing potential issues before they cause significant harm to customers. In today’s fast-paced world, organizations must be able to quickly and effectively respond to outages, failures, and other unexpected events. This is where Chaos Engineering comes in, as it provides a framework for systematically testing and improving the reliability and resilience of systems.

Read the “Understanding Chaos Engineering” sectionUnderstanding Chaos Engineering

Chaos Engineering involves simulating real-world scenarios and system failures to understand how an application behaves under stress. This approach helps organizations identify and fix potential issues before they become critical problems. By proactively seeking out weaknesses, organizations can improve their overall system reliability and reduce the likelihood of outages, data loss, and other costly incidents.

Read the “Implementing Chaos Engineering in your Workflow” sectionImplementing Chaos Engineering in your Workflow

1. Preparation: Before you begin, it’s important to understand your application’s architecture and how it handles different types of failures. This will help you identify potential failure points and determine the most effective experiments to run.
2. Defining Experiments: Once you have a good understanding of your application, it’s time to define your experiments. This involves identifying the specific scenarios you want to test and the metrics you’ll use to evaluate success or failure.
3. Executing Experiments: Next, you’ll need to run your experiments and observe how your application behaves. This is the most important step in the process, as it allows you to uncover potential weaknesses and areas for improvement.
4. Analyzing Results: After your experiments have been completed, it’s important to analyze the results and understand what you learned. This will help you identify areas for improvement and make any necessary changes to your systems to ensure they are more resilient.

Read the “Best Practices for Building Resilient Applications” sectionBest Practices for Building Resilient Applications

1. Continuously Monitor your Applications: Continuously monitoring your applications is critical to ensuring they are always running smoothly. This allows you to quickly detect and respond to any issues, minimizing downtime and reducing the likelihood of data loss.
2. Embrace Failure as a Learning Opportunity: Embracing failure as a learning opportunity is key to improving your systems over time. By continuously testing and refining your systems, you can ensure they are always performing at their best.
3. Automate Response to Failures: Automating your response to failures can help you quickly recover from outages and other incidents. This can be achieved by implementing automation scripts that can detect issues and perform corrective actions without the need for manual intervention.

Regularly Test and Improve your Systems: Regularly testing and improving your systems is essential to ensure they are always performing at their best. This can involve running regular chaos engineering experiments, continuously monitoring your systems, and making improvements to your architecture and processes as necessary.

Read the “Conclusion” sectionConclusion

In conclusion, Chaos Engineering is a valuable tool for building more resilient and reliable applications. By proactively seeking out potential issues and fixing them before they become critical problems, organizations can improve their overall system reliability and reduce the likelihood of outages, data loss, and other costly incidents. By following best practices such as continuously monitoring applications, embracing failure as a learning opportunity, automating response to failures, and regularly testing and improving systems, organizations can ensure their applications are always performing at their best.

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Gradually create a new system around the edges of the old, letting it grow slowly over several years until the old system is strangled.

— Martin Fowler

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1. My journey to loving languages 💙
2. Forming the Habit
3. Comprehensible Input
4. Meaningful and Familiar Content
5. Spaced Repetition
6. The Lietner System
7. Motivation

I live in London and it is astounding how many people tell me about wanting to learn languages but not being able to because, somehow, it is too late. Presumably, because they are too old or don’t have the time to spare?

I don’t have time either so I thought I’d share some tips about how I approach this.

Read the “My journey to loving languages 💙” sectionMy journey to loving languages 💙

My family lives in France and hails from Sénégal and we are descendants of the Fulani, a nomadic herding people with Peul as its lingua franca. This meant growing up with two cultures and languages, speaking Peul at home and French pretty much everywhere else.

When I was 23, I made a leap and moved to London with the aim to learn English, which I have been doing since.

This has greatly influenced the way I approach language acquisition, specifically, as an adult.

I think of it as a journey, with its ups and downs and I think of it as an integral part of how I experience the world rather than a separate time slot set aside for study.

Read the “Forming the Habit” sectionForming the Habit

I’ve failed at getting into the habit several times and noticed that I would get into the same pattern every time. I would be super motivated and start at a grandiose, unsustainable, pace spending hours a day studying and practicing only to fall off a few days/weeks later when life got busier and that initial burst of motivation started fading. Getting back into it also felt super difficult since it entailed putting in so much time.

I now spend the first month creating the habit of studying 5 minutes a day, every day, and no longer.

At this pace, it would probably take me a couple of decades to achieve my goals yet every session would leave me wanting more. I am also usually impressed with how much I’ve improved by that point, which only serves to bolster up my motivation and stifles any kind of doubt I initially had about my ability to learn.

Once that first month has passed, I am okay with missing the odd session here and there, going longer, and whatnot. The habit is there and going back to it isn’t as much of an issue anymore.

Read the “Comprehensible Input” sectionComprehensible Input

I’ve tried grammar and vocabulary-focused learning and didn’t find it effective.

What works for me is exposure to compelling content. (When I started learning English, I watched Scrubs and The IT Crowd and read Harry Potter books.)

The less you understand that piece of content, the more potential there is for learning. On the flip side, it is much more difficult to stay focused and actually understand what’s going on, which is not fun or effective.

Your mileage may vary but the sweet spot for me is about 65% comprehension (including any subtitles).

I take note of words that hinder my comprehension for spaced repetition and move on.

To begin with, for languages that use an alphabet I understand, I use subtitles in the target language, otherwise, I’ll just pick French or English. Once my comprehension is high enough without subtitles, I drop them. It’s a fun milestone and I learn much faster once I’ve done this.

To begin with, your understanding might be close to 0% though.

What I do here is pick something very small and get through it as many times as it takes to fully understand.

With Italian, I started with the golden rule of reciprocity “Non fare agli altri quello que non vorresti fosse fato a te”.

Picking a subject that I am very familiar with also takes a lot of pressure off of aural comprehension.

Read the “Meaningful and Familiar Content” sectionMeaningful and Familiar Content

This is the integration bit and probably why vocab and grammar binging don’t work for me. Learning how to say that I am buying plane tickets or that you cannot camp somewhere isn’t really meaningful or familiar to me. Sure, there are benefits to learning to say those things but I’m unlikely to remember that as it’s not really engaging.

My favourite thing to do is to bring those languages to my passions. I love reading, cooking, baking, and playing music. Watching a lesson on how to play Asturias (Leyenda) in Spanish, or how to make pasta in Italian is much more likely to keep me engaged and help me remember the language. It also happens to be information that I wouldn’t have been able to get from the horse’s proverbial mouth without my commitment to learning that language and that is incredibly rewarding.

It also means that I do not need to spend extra time on language learning because I am integrating it into my hobbies.

Read the “Spaced Repetition” sectionSpaced Repetition

Although I do not focus on vocabulary, I do want to commit some words to longer-term memory and I find spaced repetition to be a great low-cost way to do this.

Rather than cram through a list of words out of context, I pick words from the content that I consume and make flashcards out of them.

If you haven’t heard of it, the principle is based on the spacing effect: in order to learn, you must first forget (which sounds like something Mr. Myagi would say). The way I understand it, it would be extremely costly for us to just remember everything we are exposed to. Forgetting and re-encoding a piece of information signals the brain that we need to remember this longer term. Also, there’s only so much new information that we can process in a day, and trying to push beyond our limits leads to poorer retention rates.

Below is the Lietner System. You study items on the leftmost box every day and review less and less frequently as you move right.

Read the “The Lietner System” sectionThe Lietner System

The process essentially shows you what you get wrong often and what you know less and less frequently.

I’ve been using Anki for this (although I am currently building my own).

Read the “Motivation” sectionMotivation

I’d like to end on a note about motivation. I believe in language learning as a life-altering journey.

Regardless of your age and even if you only have 5 minutes a day to spare, I believe that anyone can learn languages. Sure, it’ll take more effort than when you picked up your mother tongue but it’s never too late.

Thanks for sticking with me.

I picked up Arabic and Vietnamese this year and hope to start learning some form of sign language.

What languages are/will you be learning next? Let me know in the comments!

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