Operations | Monitoring | ITSM | DevOps | Cloud

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.

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 -

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.

4 Cloud-Native Challenges AI SRE Is Solving in 2026 and the 3 New Ones to Look Out For

AI SRE is making real strides in resolving some of the greatest pains related to incident response, troubleshooting, and complex root cause analysis. The on-call rotation, the war room, the week-long RCA, and the ticket queue that ate a third of every platform engineer’s week all look different now than they did two years ago.

What's New in InfluxDB 3.11: A Significant Performance Upgrade for Complex Time Series Workloads

Summary InfluxDB 3.11 delivers major performance and data management updates for growing time series workloads, with significantly faster queries on recent data, expanded support for wide and ultra-sparse schemas, and a more predictable resource profile under load. InfluxDB 3 Enterprise also adds backup and restore, bulk Parquet import, row-level deletes, and a built-in Explorer UI.

Shipped: Compare Periods, side-by-side cost comparison in Explorer

When spend moves, the first question is always “compared to what?” Answering it used to mean pulling up two tabs with two different date ranges and toggling between them, or squinting at a single delta number without the ability to customize what you’re comparing against. Compare Periods puts both periods in front of you at once, so a spike, a regression, or a shift shows up on the chart and in the cost table, without you doing the math yourself.

AI cost monitoring: what it is, how it works, and why real-time visibility matters

AI cost monitoring is the continuous tracking of AI and LLM spend in real time, broken down by the models, features, teams, and customers generating it. It is not the same as reading the monthly bill - done well, it shows spend as it happens, flags anomalies before they become invoices, and connects every dollar to an outcome so finance can protect AI ROI instead of explaining it after the fact.

Agentic AI cost: why agents burn tokens and how to control it

Agentic AI cost is what you pay to run AI agents, and it is mostly tokens. An agent does not answer once. It loops, calls tools, reads the results, and reasons again, re-sending a growing context every step. Anthropic found agents use about 4x the tokens of a chat, and multi-agent systems about 15x. You control it by capping runs, right-sizing the architecture, routing, caching, and measuring cost per task, then tying every agent to the AI ROI it produces.