Operations | Monitoring | ITSM | DevOps | Cloud

What Is Attack Surface Management and How Does Patching Reduce It?

Your exposure list grows faster than your team can clear it. Security adds new findings every week, and your IT team gets to a fraction of them. Everything left over is a backlog an attacker can walk straight through, and buying another scanner will not shrink it. Most attack surface management programs live inside that gap. Finding exposures got easy. Closing them did not, and a queue nobody has time to work is where the risk quietly builds.

Microsoft Sentinel Pricing in 2026: Full Cost Breakdown (and How to Cut It)

Microsoft Sentinel’s cost is driven almost entirely by one variable: how much data you send it. That is also why so many teams underestimate their bill. A few noisy log sources or one new integration can push daily ingestion up for weeks before anyone notices. And the first signal is usually the invoice. This guide breaks down every component of a 2026 Sentinel bill.

Build a Cloud Shaped Around Your Workloads

a few years ago, nobody was asking where their inference layer should run. Now it’s on the roadmap, or already in production and costing more than anyone budgeted. Or perhaps you’ve built an agent infrastructure that spins up on a request and vanishes by midnight. Or you need GPUs that are priced like a luxury good on the hyperscalers, so you go source them from a neocloud like Lambda.

Why Every Modern Security Operation Center Needs Automation and AI

Security teams no longer face a simple monitoring problem. In most cases, they face - While cloud workloads change by the minute, identities move across applications. In general, endpoints appear outside the traditional perimeter. Meanwhile, the modern security operations center must interpret all that activity. It must also not let a genuine threat disappear inside routine noise. Although traditional processes still matter, manual triage cannot carry the entire workload anymore. In fact, analysts lose valuable investigation time if they -

Digital Marketing for Home Improvement: Turning Good Work Into Online Growth

Home improvement businesses depend heavily on trust. Customers are inviting professionals into their homes, often for costly projects that may take days or weeks. Digital marketing is therefore less about chasing attention and more about reducing uncertainty before the first call.

Top tips: Stay one step ahead of boreout, the new burnout

Top tips is a weekly column where we highlight what's trending in the tech world and list practical ways to explore these trends. This week, we're talking about boreout, the lesser-known cousin of burnout, and how to stay engaged as AI takes on more of the routine work. There was a time when finishing your work early felt like winning. Now it somehow feels... suspicious. You glance at your inbox and nope, there are no new emails.

When Status Pages Lie: The Incident Detection Gap

On July 28, 2026, roughly 30,000 people flooded Downdetector with reports that Reddit was broken. Feeds would not load, logins failed, and the mobile app hung. Reddit's own status page, meanwhile, showed a calm wall of green: all systems operational. That contradiction is the whole story, and it is not unique to Reddit. It is one of the most common and most damaging failure modes in modern on-call, and it has a name: the incident detection gap.

CLIs are more token-efficient than MCP. Or are they?

MCP servers have a reputation: they eat your context window. CLIs paired with skills, on the other hand, are more token efficient. But is this still true? I dropped all my MCP servers five months ago. Five months is a long time in AI land. When Anthropic came up with the concept of skills, many people stopped using MCP servers in favor of CLI tooling and skills.

Triage Production Incidents with a Single Prompt Using the AppSignal CLI

At AppSignal, we love talking to our customers to learn how they're using the product. Recently, one of them showed us something worth sharing: with a single chat prompt, his AI agent searches production logs, closes incidents, and checks whether a pull request has shipped. Automating that kind of work turned out to be a matter of building the right agent skill.

Best Anomaly Detection Software: 9 Tools Compared on Cost and Coverage

Does the anomaly you need to catch show up in infrastructure, in security logs, in a data pipeline, or in a revenue figure? If you already know the answer, you probably learned it from an incident. A service degraded quietly, nobody got paged, and the post-mortem showed the signal had been in the data for hours. The thresholds were set correctly, and they still could not separate a busy Tuesday from a failure.