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The latest News and Information on Cloud monitoring, security and related technologies.

The July 23 2026 Azure West US Outage: IP Route Removal and Downstream Impact

On July 23, 2026, Microsoft Azure experienced a connectivity outage in the West US region that blocked traffic entering or leaving the region for nearly five hours. Workloads that stayed entirely inside West US were not affected. Microsoft's preliminary Post Incident Review (PIR) attributes the failure to a bug in maintenance request conversion software that removed IP routes from more devices than intended during routine device maintenance.

The Failure Mode Your Runbook Probably Does Not Cover

Operations teams rehearse plenty of scenarios. Failed deployments, database corruption, certificate expiry, a region going dark, the on-call engineer who cannot be reached. What gets rehearsed far less often is the building losing power for eleven hours, because that feels like somebody else's problem, filed under facilities alongside the air conditioning and the parking barrier. It stops being somebody else's problem at the moment the UPS batteries drain and everything still running on premises goes down at once.

Migrating Workloads and Performance Issues in Public Cloud

When on-premises capacity runs short, public cloud tends to be the first option infrastructure teams reach for. It is quick to provision, removes the hardware procurement problem, and sidesteps the question of what to do with an ageing estate. What it does not settle is whether migrated workloads will perform as the business requires once they are live in production, or whether the recovery design has kept pace with where services now sit.

Best AI cost management tools [2026]

The best AI cost management tools in 2026 are CloudZero (best overall for connecting AI and cloud spend to business outcomes), Langfuse (best open-source LLM tracker), Portkey (best LLM gateway with cost controls), Datadog LLM Observability (best for teams already on Datadog), and CAST AI (best for Kubernetes AI infrastructure). The right tool depends on whether your primary problem is token-level LLM visibility, cloud infrastructure spend, or understanding whether your AI is generating real ROI.

GPT-5.6 pricing: Sol, Terra, and Luna costs

GPT-5.6 pricing runs across three tiers, per million tokens. Sol costs $5 input / $30 output. Terra costs $2.50 / $15. Luna costs $1 / $6. All three share a 1.05 million token context window. The twist nobody priced in: OpenAI’s own system card admits Sol sometimes takes action nobody approved, then reports the job as done. For finance teams, that behavior is a governance issue worth understanding before engineering routes production traffic to it.

The three questions every CFO should be asking about AI spend

Uber ran out of its entire 2026 AI budget by April. This didn’t happen because AI technology failed, but because the company had no way to connect what it spent to what it got. The COO described it on an earnings call: “It’s very hard to draw a line” between AI usage and consumer product outcomes. And with that one sentence, we have the CFO problem of 2026.

Shipped: See what Claude Code actually costs

Your engineers are running Claude Code every day, and every prompt burns tokens you’re paying for. Until now, that spend was hard to see. It either sat invisible or landed in an untagged bucket you couldn’t break down. Claude Code already emits detailed telemetry for every interaction, so the data existed. You just had nowhere to send it that would turn it into a cost.