In recent weeks I have been sharing more informal thoughts and in the upcoming weeks, there will be a period of greater radio silence.

After three decades as a professional, I am taking the entire summer off. This will be a chance to intentionally not sit at a desk, stare at a screen, look at my phone, read emails, read articles, and all those other work and personal related activities one does.

A very succinct description of the responsibilities of leadership by Jawad Nagda (infographic below) shows a number of key features of management that are also needed in data storytelling such as empathy, integrity, and listening. I wish annual 1:1 performance reviews gave employees an opportunity to rate their manager in such detail? It would be an interesting infographic to compare your managers for the past 3-5 jobs visually?

The Data Management Value Realization Journey by Bill Schmarzo really shows the depth and breadth of what an organization needs to be prepared for. The infographic (shown below) provides a lot of detail and each time you look at it from a different perspective you can see a wealth of key terms and thoughts to value. This starts with your data, the velocity, variety, and volume of data, which is described as fast, diverse and deep. The value journey to operationalizing this information clearly outweighs the risks of not being prepared. As much of Sydney is now underwater, and with the frequency of “rain bombs” in Australia, how could your company prepare for an influx of data (a once-in 500-year event)? Could you filter valuable data from invaluable data and draw insights quickly, or would you need to create an infrastructure to do so and train resources? The timeliness of your investment may be too late. The Data Management Value Creation Journey Map should be at the forefront of your business for planning how information drives your business success.

When your computer is idle, is it really idle? Peter Zaitsev shared this article What does an idle CPU do? which is a great read. Reminds me of my very old Unix (yes before Linux) kernel core dump analysis, where I had the Unix source code in question. A computer does not just do nothing unless it’s powered off or sleeping.

AI is used in many different fields. DALL-E 2 is a service that will create art and images based on a description. While this sounds interesting, I consider ML/AI as tools to help improve our society, and our decision-making and remove and replace redundant workloads. I feel creative expression is a talent and gift of an individual and the value of the work is in the eyes of the beholder. DALL-E 2 had to learn by imitating other famous works of art, some artists would learn this way, but some are just naturally talented. Will there be an AI to critique works of art, and how would it describe DALL-2 E’s works?

Speaking of art. I have always been fascinated with water structures and large outdoor works of art. The Bellagio fountain is one example of that. And for those naysays of water usage do your research, this project is actually very water efficient. This video of ultra-slow motion fluid dynamics (2 minutes) is just incredible. (some screenshots below)

Some images of the week.

Volcano + lightning

A large part of my work week was spent u-hauling across 1/3 of the country. This was a very mentally intense time, indeed 8-10 hrs per day of concentration working with dangerous equipment and sometimes in unpredictable situations with little break was harder than sitting at a desk. I had a lot of time to look at all those trucks on the highway and compose some thoughts about improving our planet. Yes, I did pay $5 per gallon for fuel, and at one stop $150 didn’t even fill the tank.

Easily 50% of all vehicles on the highway were semi-trailer trucks, a cab hauling one or two trailers (henceforth just trucks). If 100 trucks are moving from Point A to Point B, and let’s say it’s 8hr to 16hrs in travel distance, it is highly possible for longer trips you are also away from family. That’s 100 people that are always on, focused on the sole task of driving, you cannot step away for a quick break like in other roles. Electric vehicles will reduce emissions, but that’s not solving the problem. Driverless vehicles will help but that is also decades away from practical use. While 90% of vehicles will remain operated manually for many decades if not always, I see this as an impractical short-term solution.

I had to feel that rail is the obvious alternative here. You can with fewer individuals haul 100 containers, which reduces the human impact. The track is fixed, providing you have the correct support for trains in the opposite directions, so no dealing with the varying speeds of vehicles and crazy drivers. That reduces the mental complexity, and it also reduces the volume of larger vehicles with passenger vehicles. But rail has significant limitations in the change in elevation and direction unlike a road. Any tangible improvement to reduce traffic on highways would work best in areas of flat country. Is this geographical limitation alone a sufficient deterrent.

However, a train goes from point A1 to point B1. It still requires transportation of the container from individual companies’ locations A to A1, and B1 to B. These are much smaller distances and require those 100 drivers, however, they spend less time on the road, less stress on long-hauling, less time away from family. You also cannot just drive the trailer onto a rail car, so there is the complexity, and bottleneck of getting containers onto and off of trains. So is there a way to solve the actual problem of too many vehicles with so much human requirement that also requires concentration and attention, and a volume that is every increasing. The reason this would never work is capitalism. We live in a world where every company wants their own trucks, their own product traveling on their own schedule. Until we stop thinking like 1000s of individual companies and 100s of individual countries to focus on 10s of critical problems facing the planet, I feel the root cause is never actually being tackled. Ironic that in software engineering, the same issue of not tackling the actual root cause in larger strategic ways also occurs.

Changing topics. Let me start with a technical analogy of the following real-life experience.

You have terrible technical debt. They may be known reasons why this occurred in the past, but those reasons and those people are long gone. Yet all subsequent workers suffer from this accumulated technical debt and the impact on product quality and time efficiency is never actually measured or calculated but it should because the impact would be staggering. Vain attempts are made to make some improvements but the amount of technical debt grows, as the number of people writing code grows, the number of varying tools and their apparent effectiveness grows making it all easier to access faster ways of doing things poorly. Highly specialized individuals are hired to help address the problem, but then instead of being able to apply their wisdom to the advertised position, they are subjugated by the few, and either capitulate and are assimilated, or leave feeling worthless and powerless to a solvable problem because of the power and greediness of just those few that try to wield their power. Many may whisper in the shadows or wish for a better situation, but instead, accept the unacceptable normal as the new normal. Soon they have no idea how to relate to what is actually the right thing, except that they believe it is wrong because it’s not what is done now.

I generally refrain from any personal statements, however today I’m going to talk about my closest experience with “Guns in America”. Some facts to start.

• The US accounts for 4.25% of the world population, let’s say 1/20.
• The US has between 40% and 50% of the estimated number of guns in the world, so almost 1/2.
• There are more guns in the US than people. Cite America’s gun culture – in seven charts
• There are more mass shootings (4 or more wounded by a gun) in 2022 in the US than days in the year
• I live just 20 minutes away from Sandy Hook. Our church has a memorial for that tragedy. Thankfull have never had to deal with the impact of gun violence..

As a parent, I could not fathom the lifelong anguish for parents of senseless deaths of their children to guns in schools or churches or supermarkets, or hospitals. It is articulated that many gun owners are responsible gun owners, so why does the gun industry, protected from being sued in the country that sues for everything, control the narrative of the safety of humans? I don’t have to be a scholar to read a document that is over 300 years old to see how a few have twisted its meaning, and control the entire population because of it, unwavering in being reasonable that things have changed in 300 years. They certainly afford all the improvements made living in our society in the past 300 years.

My neighbors own guns responsibly. They are also parents. You require a gun license, just like if you were driving a car. They are stored in a locked gun safe, just like you would with other vital possessions or dangerous ones, however this week I came to the realization that many people are not as fortunate.

This week I was at an event, where the circumstances brought me the closest to the real potential of guns in America. Skipping forward from important preamble. I was part of a subsequent conversation with brother B of individual A who asked family member C about his guns. “He has two handguns, one may be in the car (the car he left in that police subsequently arrested him in), he has two shotguns, he has a rifle, like a sniper rifle, that’s big it will be easy to find, and at least 4 semi-automatic machines guns including the AR-15″. Person B was going to collect these items, and they were not secured in any way, so the conversation was where they may be in the home. What happened was individual A wasn’t going to be even arrested, until other ex-law enforcement strongly suggested it happen. This individual was out on bail within a few hours.

This situation could have been very different. Individual A could have left feeling betrayed and returned with weapons of mass destruction. They could have just started out like that. They could have returned home to find their guns gone, and just gone and purchased more, or even possibly just borrowed others easily. I am skipping over a lot of important details as to why this was more of a close call then I am describing.

Guns in America is a complex problem, however when every single recommendation from politicians for fixing the gun problem by doing everything else except tackling the actual root cause, the gun, well that’s insanity. There is simply no other single word. When there is a press conference regarding a terrible mass shooting at a school, and not one single immediate action regarding guns is mentioned, why? My thoughts and prayers are also for all those suffering, but removing machine guns, requiring licenses, requiring background checks, raising the age, limiting the amount of bullets and magazine capacity, not allowing sale of body armor, these are all reasonable requests that still let you own a gun, just like a car. I have to provide proof of Id to buy Sudafed for a cold, but I could walk into a gun show and buy a machine gun. You have to be 21 and show your Id to purchase alcohol, but I can easily get body armor. I was forced to provide my age to buy one container cough medicine from a grocery store, yet you can buy an excessive amount of ammo more easily.

Returning to the technical analogy, it seems the gun problem is just like a technical debt problem. It never goes away, there are always ways to make the increase of technical debt easier. The priority is to add to the technical-debt not to prioritize removing it. In an organizations of 1000s, the few that try to make the world a better place, and constantly battling an ideological world view in software engineering that is well, wrong.

And the week in several images.

• Use python Frameworks via https://twitter.com/parvezshahshaik/status/1534899902521782274
• A better use for assault weapons, like a real war
• Thoughts and prayers are always required, but are only a small part of the larger need

This week I wanted to share more about Observability and the CNCF foundation project Open Telemetry. Observability is a necessary foundation for any information system however observability does not answer questions that are essential for a successful business to operate. Let me explain in more detail.

Observability on it’s own does not answer these questions:

• Was the customer impacted due to an event?
• What is the root cause of a customer impacted situation?

So, no matter how much data one can provide here, what is the data story you need to be telling?

Let me give you a concrete example of a recent actual outage example.  Your cloud provider has an outage at one data center within one availability zone in one region. Your observability shows that 13% of your fleet’s infrastructure is impacted. You employ a multi-AZ single region primary customer-facing website.  While there are alarms and alerts and pages, your infrastructure balances the load, IaC relaunches the necessary replacements and most systems return to an apparent steady-state (I’ll leave the “hint” of apparent for another time).  

Was the customer experience actually impacted?  There are alerts of an increase in 500 errors, however, this quickly resolves. There are some small increases in latency of primary functions that you have on your dashboard? What did the customer actually experience?  Was it just a few customers, all of your customers, or certain customers based on what level of functionality they were performing, for example searching for products to purchase, adding products to a shopping cart, or checking out?

Observability is not going to answer the fundamental question of “Was the customer impacted?”.  Your business needs to define the metrics of measurement and actually capture this. Is a single customer of 100,000 active customers receiving a few 500 errors considered impact? Is 1% of served traffic affected considered impact? What duration?  What is actually necessary are business-specific metrics around your customer sentiment. Is it simply a measurement of revenue per minute compared with seasonal measurements of the same time of day, the same day of the week, and with the same impactful event such as a public holiday. Is it more complicated? No amount of RTO, RPO, MTTD, MTTR, multi-AZ, or DR resiliency is going to help you here.

Let’s take the same situation, but this time the IaC doesn’t work. More alarms are going off, and certain layers of your infrastructure are highly saturated.  Manual attempts to correct the loss of resources do not work? Where is the root cause of the problem? How can you fix the root cause? What if the root cause is a portion of your infrastructure that is a purchased product by another provider, and is a technology stack that does not match your own companies or the skills of your employees? How do you address this “house is on fire” situation?

In the above example, AWS suffered 3 outages last December 2021 and one was the loss of power to a single us-east-1 availability zone.  If you did not know this, us-east-1a for your account does not mean us-east-1a for a different customer of AWS. In fact, it doesn’t even mean the same if you have multiple different accounts per environment.  An availability zone is also not one data center.  Prior incidents have shown that it could be a small percentage. One AWS AZ could comprise 5-10-15+ different data centers.

Also, in the above example, if your container registry is highly-available, but an incorrectly configured third-party product and is now in a state where you cannot re-launch any infrastructure because the necessary images are inaccessible, your business is hobbled.  Have you planned for this situation before?  Let me share some more hypothetical questions about this scenario.  The stack is not what your on-call resources know, there is insufficient documentation about this system, and there is no test infrastructure in order to reproduce the issue, or validate any hypothesis. What if there is no support agreement with the company that sold the product?

As you can see the role of an architect, whether a solutions architect, a data architect, an enterprise architect or the principal architect, you could consider in many organizations this far exceeds the likely scope of your day-to-day obligations.  Is there such a thing as a disaster-preparedness architect, or a chaos architect?  Is the architect not even a sufficiently leveled responsibility here! Is it the Head of, or the Director of need in your business? Is there such a thing as a Chief Reliability Officer (CRO)? Seems a google search finds results. Added to my reading todo list.

My professional experience is that Observability is the first essential layer of total observability infrastructure for your organization.  The full stack actually includes:

1. Observability
2. Reproducibility
3. Testability
4. Scalability
5. Reliability

All of these layers are essential. Each layer is a prerequisite for the next.  In your position in the organization where do you start? As a reliability resource you need Observability first. As a test engineer, you actually cannot start with Testability. As a C-suite executive, you need to know that system Reliability comes first, but how to you validate that?

I will be providing a much more in depth paper on this in the future. 

What is also missing from this list is one essential business-wide requirement — Ownership.  If in the entire organization, from the developer to the manager, to the customer support representative to the c-suite officer, every level is needed to take joint ownership in customer success. The weakest link is the actual problem and no amount of instrumentation, process or dashboards can address that.

Moving on, VS Code again came up in conversation in my tech circles, I really should practice using it.

My neighbor purchased the company Steel Bee – Long live your razors. It was a fascinating conversation about not creating a new product, but selecting an existing product that has a drop-ship infrastructure already in place and an Amazon and Shopify store presence. How do you measure the success of something you did not build? How can you improve on it?
 
On a personal note, I am about to venture into the world of CNC routing. Anybody with tips & tricks and open-source software to use? I am currently trying Carbide Create

With all that is happening locally, let us not forget to #StandWithUkraine.

This week in images.

• A Grafana dashboard of 3 different products that offer different insights. Quite interesting. https://twitter.com/the_kiwi_sre/status/1532517294634856448
• Learn how to draw 100 DevOps inspired drawings https://twitter.com/MindsEyeCCF/status/1533049346178031617
• And the water in North America is where? https://twitter.com/PythonMaps/status/1530224635761106946
• A bird’s Eye view of Defence in depth structure of Cybersecurity https://twitter.com/DemaiTech/status/1533074997710839809

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We should all take a moment to reflect that going to school should be a safe, happy, and memorable part of everybody’s life. That was taken away this week from 19 children because common-sense laws, licenses, and checks do not apply to deadly weapons in this country. They apply to get a car license, to require car insurance when purchasing a vehicle, or to purchase Sudafed for a stuffy nose. I reside just 25 minutes from Sandy Hook Elementary school. My church has a memorial for that tragedy. As a parent, I could not comprehend what the grief of loss could be. My prayers to everybody affected in Uvalde, and to all other school districts this year, last year, and all years before that.

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In recent months I have focussed on improving my data visualization technology skills, and working on my data storytelling skills. 3 Tips You Need to Be Successful in Data Visualization sums this up well.  “Data visualization is not just a skill, it’s a lifestyle. Keep learning and find new ways to get better”. If you are interested, my favorite physical book to date on the subject area is Effective Data Storytelling by Brent Dykes. Great detail, as well as great quotes.  This week Brent has published 100 Essential Data Storytelling Quotes from his book which is a timely affirmation.

How well we communicate is determined not by how well we say things but how well we are understood” — Andrew Grove

More reading and discussion on what is Web 3.0? What does it mean for our field?  What does it mean for my future skills?  The hard truths about Web3: What no one else is talking about was something I read this week after it was recommended by a good friend. The takeaway is in the closing thoughts “Instead, educate yourself on the long-term sustainable use cases of blockchain technology.”. My friends’ takeaway about Blockchain is “It’s a tool, not a solution.” I would tend to agree.

I launched a new project last weekend and I’ve selected for a second time to go with Hugo for a static site generator. If you want a drag and drop template well it’s good, but there is definitely a learning curve if you want to make just minor tweaks. My theme for example said it included Bootstrap, but I wanted to accent a post with a TIP box (in Bootstrap they are called Alerts). Do you think it was trivial to work out why Bootstrap alerts didn’t work in my Hugo template? I spent over an hour because of the complexity of a low-code, no-code solution, whereas if I’d built a site with straight HTML/CSS/JS/Bootstrap it would have just worked. Maybe I’m old school, but clean code and not three levels of abstraction is IMO more maintainable. Does it take longer to be productive? At the start of a new project perhaps, but if you don’t have very technically capable resources that are at your avail, the selection of an internal tool for an essential part of your business may be a poor choice.

As an example. Last year my employer suffered a long outage due to the rough AWS Cloud Dec 2021 with three separate incidents. In one occurrence, the loss of power to a data center that knocked out approximately 7% of one AZ would not be an issue for any organization’s business that runs in a highly available multi-AZ model right? Wrong. The use of a Docker Container Registry product, that was configured has HA went down, along with multiple nodes. Those nodes could not be relaunched because the registry was down. The images could not be rebuilt because they relied on additional images. The entire site was degraded because of one component that was configured in a HA capability, but it was configured incorrectly. To further complicate the matter, the entire stack, from the IAAS to underlying technologies was not part of the stack the DevOps team used, and without clearly documented installation, testing, and chaos experiments. To further complicate the issue, this required obtaining commercial support for the product being used right then, opening a ticket, and getting a support person of said commercial company to help address the issue. The moral here is. If your business relies on it’s availability and you do not have the technical skills and capabilities and redundancies of your staff to ensure its availability, then are you really thinking hard about being prepared, or are you chasing the next sale, the next feature, the next new wave of technology?

Want to get your links to render nicely in the varying products you use? Twitter Card Validator can be a bit of a hit/miss effect. I have found that if I cut/paste a link in chat programs including Slack, Google Chat, and Signal which all provide a different experience but seem to be more responsive. I guess I will keep working on it. (Damm you Hugo!)

On a more personal note and a sore pain point is 401k retirement plans and planning for retirement in the U.S.A. Have you been burned by the 3-year vesting rule of your employer’s matching contributions that you didn’t know about when you looked at the initial offer package? I have. It seems it’s a wide industry problem that affects all levels of employees. Opinion: This giant pension scandal is hiding in plain sight. You are expected to financially plan for retirement only to find that limits, types of plans, and employer decisions put roadblocks in your way.

This week in images.

• Nuts and Bolts of Chart Types
• Thanks @matplotlib for answering my question about how do I create animated bar charts with the skills I know. Well the answer is https://github.com/dexplo/bar_chart_race
• Steps of Data Wrangling
• Cute
• Ikigai Look it up!