Operations | Monitoring | ITSM | DevOps | Cloud

Most teams never question the JDBC or ODBC drivers they use. If it connects, it’s “good enough.” That assumption can cost more than $14,000 per minute during an outage, according to EMA’s 2024 IT downtime benchmark. Drivers are more than connectors. They dictate how efficiently data moves between databases, applications, and analytics tools. When overlooked, the entire stack slows down. Breakdowns at this level lead to failed reports, missed deadlines, and avoidable downtime.

The biggest shopping days of the year are coming up fast, and SaaS vendors are launching their most exciting discounts yet. Together with our SaaS partners, StatusGator has rounded up the best Black Friday and Cyber Monday deals you won’t want to miss. Are you a software provider offering a deal? Share it with us by filling out this form!

The rapid advancement of technology has revolutionised the way businesses operate and engage with their customers. A delay of even a few seconds can lead to significant drop-offs in engagement and conversions. According to Google's findings, "just a 100-millisecond lag can reduce revenue by 1%, and a half-second delay can cause a 20% drop in search engine traffic".

Managing alert routing in complex environments is hard. When events occur, alerts must reach the right people at the right time, but traditional alert sources struggle with sophisticated, context-aware routing. Event Flows is ilert’s node-based workflow system at the heart of our alerting infrastructure. It enables intelligent event processing, time- and context-based routing, and safe automation, so teams reduce alert fatigue and accelerate incident response. ‍

For large enterprises, the health and resilience of Business Services define customer experience and business reputation. Yet as technology estates grow in complexity, fragmented toolsets and siloed teams make it difficult to maintain service availability and prevent incidents before they impact the business and ultimately, customers.

Data has exploded — and so have the challenges that come with it. Every click, transaction, and sensor ping generates mountains of data that traditional databases can’t handle. That’s why more than 94% of organizations now rely on cloud platforms, according to CloudZero’s 2025 cloud report. The goal isn’t just to store data, but rather, to make sense of it fast. And this is exactly where tools such as Google BigQuery step in.

Over the last couple of years, nearly every network and infrastructure observability platform has added the word “AI” to its messaging. Some have introduced helpful capabilities. Others have simply added a chatbot on top of the same dashboards that have existed for a decade. In many ways, the term has started to lose meaning. But inside network operations, the conversation hasn’t disappeared. It has simply become more blunt.

Artificial Intelligence has become the sharpest tool in the digital arsenal – detecting anomalies, predicting failures, and uncovering risks before they unfold. Yet even the smartest system can’t roll up its sleeves and fix what’s broken. AI can see the problem. But only people can solve it. That’s the critical gap in today’s automation revolution: turning AI’s insight into human action.

When a critical alert fires at 2 AM, the last thing your on-call engineer should be doing is manual administrative work. Yet, for many teams, that’s exactly what happens. You see the alert in your monitoring tool, then you have to switch contexts, open a new browser tab, log into your ITSM platform, and manually create an incident—all while your systems are failing.

In today’s hyper-connected, always-on enterprise landscape, every second of downtime, every unnoticed anomaly, and every delayed response can have cascading business implications. Traditional Network and Security Operations Centers (NOCs and SOCs), built on manual triage and siloed data, were never designed for this pace or scale.