Operations | Monitoring | ITSM | DevOps | Cloud

Yesterday, like many others in the tech community, I found myself pausing to fully grasp the implications of the Microsoft SharePoint hack. As one of the most widely adopted document management and collaboration platforms globally, SharePoint’s compromise inevitably sends ripples of concern through businesses everywhere. This news reminded me of a conversation I had just last week with an enterprise customer. We were discussing how one might approach cybersecurity from a hacker’s perspective.

A recent study looked at real-world Python programs and found something important: Python isn’t the main reason apps slow down. The real problems come from inside the code like poor logic, memory issues, and slow database queries. The problem is, these issues often go unnoticed. Your app may seem fine until users start complaining about slowness or things start breaking under pressure.

To read more on the findings from this research, visit the Digital Sovereignty Revolution whitepaper by clicking here. For years, global hyperscalers have been the backbone of cloud infrastructure for UK businesses. Their scale, reach, and performance made them the default choice. But as geopolitical uncertainty grows and concerns around data governance deepen, the cracks in this model are beginning to show.

In 2008, Nuance hired me to join their Healthcare Speech Recognition team as a “Release Engineer.” DevOps wasn’t a thing yet — Patrick Debois and Andrew Shafer wouldn’t hold their first “DevOpsDays” until 2009. But I was lucky that “Release Engineer” at Nuance meant “jack of all trades” who wrote Makefiles, bash scripts, Perl, and Java to build and release code to a fleet of hundreds of on-premise Linux machines.

Great observability doesn’t just collect metrics—it tells you exactly what’s broken, why it’s broken, and what to do about it. InfluxDB 3 Enterprise delivers this through real-time ingestion, fast queries, and scalable storage. InfluxDB 3 Explorer provides the intuitive interface your team needs for database management, data ingestion, querying, and visualization without the usual complexity.

For decades, CIOs have fought to keep pace with rising digital complexity. As IT environments have grown more fragmented and dynamic, operational stability has often come at the cost of strategic agility. But the game is changing. What once required heroic effort to maintain is now table stakes—and the new expectation is that IT won’t just support the business, it will help steer it.

As you know, we've introduced a major update in recent months – ilert Responder – the AI Agent that helps you run root cause analysis during incidents and provides recommendations toward faster resolution. That's not all, and there are way more powerful features to share with you. Feel free to reach out to us via chat or at support@ilert.com if you have questions or if you want to propose a feature or improvement.

Remember when JavaScript was just for making snowflakes fall on your GeoCities page? Those were simpler times. Now we’re building entire applications in the browser, and surprise! JavaScript wasn’t exactly designed with memory management in mind. While other languages have garbage collectors that actually, you know, collect garbage, JavaScript’s garbage collector is more like that roommate who promises to clean but just shoves everything under the bed. The real kicker?

What if your most sensitive documents could raise the alarm before they ever go missing? In industries like banking, legal services, and secure record storage, a single lost file can lead to audits, lawsuits, or irreparable reputational damage. Yet, many of these organizations still rely on manual registers, CCTV, and physical locks to safeguard high-value paperwork—leaving behind a trail of vulnerability. That’s where a file tracking system changes the game.

Every customer lost costs telecom providers five to seven times more than keeping an existing one. The industry experiences 15-25% annual churn rates, resulting in billions of dollars in lost revenue, as competitors readily absorb these dissatisfied customers. Warning signs typically manifest before departure, but traditional detection methods often identify them too late, after customers have already decided to switch providers.