Operations | Monitoring | ITSM | DevOps | Cloud

How financial institutions can escape the "Big Bang" migration trap and keep shipping features the entire time. Every bank executive knows the math. Legacy core systems cost more each year, slow product launches, and widen the gap between what customers expect and what the institution can deliver. Over 50% of banking executives say their current systems can't support long-term digital strategy. The case for modernization is airtight. So why do most hesitate?

Financial institutions are required to prove they can operate safely in the cloud without becoming dependent on a single technology provider. What happens if your cloud provider fails, or you are required to move? The question used to be theoretical. However, since January 2025, it has become a compliance requirement.

Manual compliance work is a hidden drag on delivery speed for fintechs and regulated institutions. There is a faster path. Companies handling payment data know the cycle: every new feature requires security audits, evidence collection, and control verification before release. The traditional approach to building a compliant stack means taking on every layer yourself.

The cloud is often spoken of as a separate realm where data exists safely away from the messy realities of the physical world. But as the events of March 2026 have reminded us, the cloud has a physical home, and that home is susceptible to the same disruptions as any other infrastructure. Here’s how diversified monitoring across independent data centers can keep visibility intact when cloud services go down.

Kubernetes has revolutionized modern computing infrastructure, offering organizations near-infinite scalability, unparalleled agility in deploying new applications, and enhanced security. However, as enterprise cloud adoption continues to accelerate, that agility often comes with an unintended and costly side effect: skyrocketing cloud bills.

Tech headlines are being dominated by the perfect storm that has led to a global shortage of Random Access Memory (RAM). As the short-term, temporary memory that handles data for processing and applications, RAM – and specifically Dynamic Random Access Memory (DRAM) – is a foundational business technology. The primary driver of this shortage is an industry-wide shift to High-Bandwidth Memory (HBM). This is the specialised memory required for artificial intelligence (AI).

For longer than I’m proud of, I was an AI skeptic. Then, over the holidays, I vibe coded an app whose sole purpose was to make me a better person. The app is a motivator. It’s programmed to send me timely reminders along certain themes, like reading every day, making healthy eating choices, and giving myself plenty of time to plan for anniversaries and birthdays.

On March 18, Jensen Huang took the stage at NVIDIA’s GTC conference in San Jose for a keynote that ran well over two hours — covering everything from CUDA’s 20-year history to humanoid robots that may one day wander Disneyland. But buried inside the spectacle was a remarkably clear-eyed articulation of the economic forces now bearing down on every enterprise that builds on cloud infrastructure.

Dropbox has six storage plans in 2026. Personal plans start at $9.99/month for 2 TB. Business plans start at $15/user/month and require a minimum of three users. The free tier gives you 2 GB, which is not enough for most people What makes Dropbox storage prices confusing is mostly the plan structure. Dropbox renamed several tiers over the past two years without a lot of noise about it, so a lot of comparisons floating around online still use the old names and wrong prices.