Blog

There has been considerable talk about AI software development. Will AI replace human engineers? Can startups make production-level software with AI? Beyond the hype and fear-mongering, there’s very little empirical evidence of its use on commercial projects.

Why would you want to import existing cloud resources into Terraform? Well, there are many reasons. I once joined as a Lead DevOps Engineer on a healthcare project developed outside the US. Since 2018, multiple teams have supported the project, fueled by coffee and bad decisions. Eventually, the founders sold the startup to a new owner and drove their Tesla Roadsters off into the sunset. 

Codeless test automation has surged in popularity, promising to streamline the testing process without extensive coding knowledge. However, despite the growing interest, there remains a significant lack of detailed information about the implementation of no-code QA tools in real-world projects. This gap in knowledge leaves many organizations, including ours, cautious about their adoption.

HIPAA compliance often takes a backseat for medical startups. Competition is high, funding scarce, and deadlines merciless. When resources are limited, upfront costs seem like a huge burden. Such thinking is pervasive among business stakeholders.

When businesses ask themselves, “What is important for a successful DevOps transformation?”, the first thing that comes to mind is adopting new technologies. Yet, despite experimenting with new tech, only 11% of teams are DevOps high-performers, according to the latest DORA research.

Why move to microservices? You’ve probably heard this question when discussing your IT budgets. After all, businesses need to scale rapidly to stay competitive. But are the benefits of microservices enough to outweigh the costs of app modernization?

Cloud costs can be unpredictable, volatile, and hard to understand. Engineers at Adobe have once burned through $80,000 of cash in a single day on Microsoft Azure. Five years ago, another SaaS company was overpaying AWS “just” $14,000 a month. Intervention from our DevOps team saved them over $840,000!

There is a surprising statistic: in 2020, the poor quality of software products cost companies more than $2 trillion in the US alone. The COVID-19 pandemic also played its part; in response to the pandemic challenges, enterprises struggled to offer value at the necessary pace without jeopardizing the quality of their software products.

Modern software development can be labeled anything, but definitely not a cakewalk. To ensure effective collaboration of all participants and build advanced solutions, companies apply various software development approaches, and one of them is Lean. It was developed as an effective anti-crisis solution, and it’s not surprising that it is in high demand now.

There is no single blueprint for businesses to follow in order to adapt to the digital age. But even though each industry is moving at different paths and paces while undergoing digital transformation, they have one thing in common: they are all adopting modern digital technologies.

Most companies look into software architecture consulting services when their products are two steps away from requiring intensive care. Huge infrastructure costs, compliance and security threats, poor performance, and scalability are common symptoms of a faulty architecture.

Long gone are the days when companies could produce an innovative feature and reap the benefits for years to come. Now they have to experiment at a breakneck pace to stay competitive. Even a few years ago Amazon deployed software every 11.6 seconds. DevOps is the approach that makes this speed possible.