Operations | Monitoring | ITSM | DevOps | Cloud

IT leaders rarely think they have an infrastructure problem. When a roadmap slips or an audit finding lands, the reflex is to hire more senior engineers, a bigger platform team, another DevOps lead. But headcount is rarely the real lever. The bottleneck is the "hidden factory": the undocumented, invisible work that sits between a developer writing code and that code reaching customers. It doesn't show up in post-mortems because engineers treat the workarounds as normal.

What is Exchange Online Archiving? Microsoft's EOA gives users an in-place archive mailbox - here's what it costs, what it covers, and where it leaves gaps.

Azure Managed Redis is a Microsoft first-party, fully managed in-memory data store, replacing Azure Cache for Redis tiers. It includes Redis Enterprise features such as RediSearch for vector search and full-text search, in addition to RedisJSON, RedisTimeSeries, and Active Geo-Replication. As Azure Cache for Redis reaches end of life, more teams are planning migrations to Azure Managed Redis in search of better performance, lower cost, and modern capabilities for AI and real-time workloads.

With SRE AI, Google plans to fully adopt AI and agentic technologies, leveraging AI as a force multiplier while also maintaining control.

The first post in this series explored why traditional observability breaks down in hybrid cloud environments. As infrastructure, applications, and dependencies stretch across on-premises networks and cloud services, isolated monitoring views leave teams with an incomplete understanding of what is happening and why. That challenge raises the next question: what kind of operational model actually works in a hybrid environment?

The video was a product manager who claimed she worked at Netflix. (Her claim, not mine. I have no way of verifying it, and I can’t find the video now.) She was talking about how Netflix now requires every PM to vibe code a working prototype before presenting an idea to engineering. Show, don't spec. Build the thing first. I sat there for about ten seconds being mildly annoyed.

The best cloud monitoring tools are Hyperping (uptime, server monitoring, status pages, and on-call at a flat rate), Datadog (full-stack observability with the broadest integration catalog), New Relic (usage-based observability with the most generous free tier), Dynatrace (AI-driven automatic root-cause analysis for large enterprises), Better Stack (monitoring paired with logs and incident response), and Prometheus + Grafana (the open-source standard for cloud-native metrics).

If your infrastructure is configured outside version control through dashboards, scripts, or manual steps, environment drift is the expected outcome. Most teams have lived this scenario. A feature works in staging but breaks in production. Two hours later, someone finds a configuration setting that was changed in staging three weeks ago and never documented.