The Hidden Line Item in Your Cloud Bill: Carbon
Every ops team tracks latency, uptime, and spend. Fewer track the fourth number that's quietly climbing alongside all of them: emissions.
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The Ford assembly line lesson: parallels for AI transformation
Ford's competitors had the same electric motors he did. Most just swapped out the steam engine and kept the old factory layout, a costly mistake. Ford used the new tech to rebuild the plant around the flow of the car. Knowing how much power each machine drew, he knew his cost to produce a car, and made personal automobiles affordable for all.
Enterprises are making their biggest AI bets blind
AI cost observability is the practice of measuring, attributing, and analyzing AI workload costs at the request, model, and workflow level in real time. It connects cloud infrastructure spend, inference and token costs, and business attribution (cost per feature, team, customer, or product) so engineering, finance, and product teams can see where AI spend goes and whether it creates value. On July 14, IBM had its worst trading day since 1987.
Shipped: Two-dimensional group-by, extended: drill-downs, exports, Views, and Kubernetes
Two-dimensional group-by improvements in Explorer.
What is AI cost observability? A guide to tracking LLM and AI spend
AI cost observability is the practice of measuring, attributing, and analyzing AI workload costs at the request, model, and workflow level in real time. It connects cloud infrastructure spend, inference and token costs, and business attribution (cost per feature, team, customer, or product) so engineering, finance, and product teams can see where AI spend goes and whether it creates value.
Shipped: Turn off the cost trends, cut your load time in half
Turning off trend comparisons cuts Explorer load times in half on long date ranges.
Shipped: Set it once, for your whole org
Organization Settings let you set defaults for the whole org, one time for everyone.
ManageEngine CloudSpend tutorial: Cost allocation report for AWS, Azure, and GCP
Learn how to use the Cost Allocation report in ManageEngine CloudSpend to accurately split, track, and attribute your multi-cloud spend across AWS, Azure, and GCP. This step-by-step tutorial shows you how to create a cost allocation, choose accounts, apply labels, configure allocation levels, and read the hierarchical allocation report by cloud, account, and region. Cost allocation is the foundation of FinOps. It tells you exactly which teams, projects, and cost centers are driving your cloud bill so you can charge back, budget, and optimize with confidence.
Application monitoring tools in 2026: APM, observability, and AI monitoring compared
Application monitoring tools track your application's health, speed, errors, and resource usage in real time. Also called APM tools or application performance monitoring software, these tools are essential for any team running production workloads. The leading options in 2026 are Datadog, New Relic, Dynatrace, Grafana, and Elastic APM for traditional workloads, plus Arize AI, LangSmith, and Weights & Biases for AI observability.
Shipped: Your CloudZero, your personalization rules
Personal Settings let you make CloudZero look and run the way you do.