Writing all this code is fun, but when you have to actually deploy, it can be nerve-wracking. A bad deployment can result in corrupted data, system failures, angry customers and hours of wasted time. Avoiding busted deployments will become a priority after you experience one.
When we are learning something new, we will all eventually hit a roadblock. Roadblocks are tough to deal with, because they sap your enthusiasm. Left alone long enough, they'll make you give up on your goals.
Ageism in development is a real thing in some areas of the industry and a concern for senior developers becoming more senior.
You've bitten the bullet and decided to pay the Apple Tax or maybe you are considering the transition. Switching from Windows to using a Mac may seem a bit daunting, especially if you've been on Windows for decades. However, it is not as difficult as you may think.
If anything, the last two years has taught us that we all have to be prepared for sudden disruptions to our lives. You have probably also heard that being resilient is the key to doing so, but what does that actually mean?
Words have power, whether you choose or harness it or not. What we say about ourselves, our affirmations, define who we are and how we see ourselves. Negative self-talk brings us down, whereas positive affirmations lift us up.
Knowledge silos happen when different parts of a team understand different parts of a system and don't understand other parts of the system. It's a natural state of system growth, but eventually gets in the way of innovation.
It's been a long year for many of us, with both upsides and downsides and we're excited to see what happens next year. This is the last episode of 2021.
2021 was not the year we expected, but it definitely brought about some changes in us, in the podcast, and in those around us. As we review our resolutions we'll see how SMART our goals really were and then we'll discuss the yearly theme.
While you can test with production data, that data is often sensitive, or doesn't reflect every possible scenario that might come up, especially with new changes. If you want to avoid unexpected problems, then you need to be able to generate realistic data to use in testing workflows.