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Technical debt is one of those problems that's easy to understand in the abstract and genuinely painful to manage in practice. Every software team knows what it is - the accumulated cost of shortcuts, quick fixes, and decisions that made sense in the moment but created future work. What's harder to internalize is how quickly it compounds. McKinsey research found that technical debt accounts for approximately 40% of IT balance sheets, with companies diverting an additional 10-20% of their technology budgets just to manage it.

Gleb Lesnikov has been developing the system behind Dodo Pizza, an international fast-food chain, since joining the company in 2015. Over the years, the local business turned into a company running over 1,600 restaurants. When Dodo expanded rapidly, Gleb had to take key technical decisions that allowed the company to scale and succeed. Looking back, he reflects on the period when the company moved to a microservices architecture and explains how he managed to solve problems that could have caused the company to collapse.

Melbourne is the beating heart of Australia's business scene, but this also means that the competition can be fierce. This is especially true for new companies and brands preparing for growth, or those entrepreneurs looking to offer services locally or digitally. That is where working with a quality digital marketing agency really pays off.

Buying new technology is exciting. Whether you're upgrading your home office, replacing an ageing computer, or building a setup for study or entertainment, it's easy to feel like everything needs replacing at once. That mindset often leads to spending far more than necessary. A better approach is to upgrade gradually. By researching compatible components through retailers such as Mwave AU and replacing only the parts that genuinely need improving, you can spread out the cost while still enjoying noticeable performance gains.

Borrowing money can be a smart way to reach important goals, whether you're renovating your home, buying a car, consolidating debt, or covering an unexpected expense. However, one common mistake catches many borrowers off guard. They focus on how much they can borrow instead of how comfortably they can repay it.

Artificial intelligence is quickly becoming a must-have for digital businesses, not just a nice-to-have. For companies looking to sharpen their operations, AI offers powerful ways to predict what's next, smooth out customer interactions, and keep transactions safe. It's not about replacing people, but giving them better tools. This lets teams focus on big-picture strategy while AI crunches data and automates tasks. This shift is changing what's possible in terms of how efficient a business can be, how happy its customers are, and how much it can grow.

A store running 20 or 30 local deliveries a day can plan them by hand. Someone pastes the addresses into a maps app, eyeballs a sensible order, screenshots the list to each driver, and the day works out fine. Then the store grows. Ninety orders come in, a third of them carry a two hour window, three are marked urgent, and the two drivers are on different shifts. The same process now eats the whole morning, and the errors it produces cost more than the time it takes.

Observability has a blind spot, and for most teams it sits at the network layer. You instrument your services, scrape metrics into Prometheus, ship logs somewhere searchable, and build dashboards that tell you when something is wrong inside your infrastructure. But the routing that carries traffic to and from that infrastructure often lives entirely outside the stack, watched through separate tools that do not talk to your alerting. This piece looks at why routing belongs in your observability pipeline and what it takes to get it there.

Ad blocking in 2026 is no longer just about installing a browser extension and forgetting it. The landscape shifted considerably after Google's Manifest V3 rollout reshaped what Chrome extensions can do - and publishers, ad networks, and streaming platforms responded by deploying more aggressive detection and countermeasures. At the same time, users moved beyond browsers into apps, games, and streaming services where browser-based tools never had much reach to begin with.

Anthropic's most capable public model sometimes quietly hands your question to a different model. Here is when, why, and what users have actually run into.