Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Cloud Credits: The Hidden Lock-In Strategy Hyperscalers Use

In this 5-minute clip from our recent webinar, Canopy's James Marks exposes the most dangerous side-effect of the cloud credit model: the migration loop. Instead of building their product, companies spend months hopping between vendors to chase new credits, falling into a cycle of constant, costly re-architecting. Simon Hansford provides clear advice for the best companies: build your architecture for portability on day one. Restrict proprietary features to maintain optionality and avoid the "entrenched phase.".

WordPress Vanilla vs Composer vs Bedrock - which wins?

WordPress powers over 40% of the web, but not all WordPress installations are created equal. Whether you're a solo developer, managing an agency, or overseeing hundreds of sites, the way you install and manage WordPress can make or break your workflow. In a recent live stream discussion, we dived deep into three popular WordPress installation methods: Vanilla, Composer-based, and Bedrock. Each approach has its merits, but which one should you choose? Let's break down the showdown.

Don't pay for metrics, pay for change: A modern guide to engineering metrics

Businesses today have more access to information about their products and engineering teams than ever before, and the push to be data-driven is also at an all-time high. Engineering metrics can provide actionable insights that help accelerate technology and business impact.

Jira Service Management (JSM) Review for On-Call Management (2025)

OpsGenie is shutting down. And Atlassian recommends migrating to Jira Service Management (JSM). But if you’re not sure JSM is the right fit for your team’s on-call management needs, this review will help you decide. I signed up for JSM and put it through real-world testing. I created on-call schedules, rotations, and overrides. Then, I reviewed JSM’s on-call management across 4 key criteria. For each criterion, I shared what I liked and what I didn’t.

How Rootly works with Slack | An end-to-end demo.

Rootly is the AI-native on-call and incident management platform that helps you resolve incidents faster, improve system resilience, and streamline on-call operations. It’s your always-on SRE copilot that automates root cause analysis and identifies patterns that drive continuous improvement—trusted by thousands of companies like LinkedIn, NVIDIA, Replit, Elastic, Canva, Clay, Tripadvisor, and Grammarly.

Latency, Loneliness, and Laundry: A Practical Field Guide to Remote Ops That Actually Feels Good

Remote ops is weird. You're juggling alerts, releases, tickets-and five meters away there's a pile of laundry silently negotiating your willpower. You want focus without turning into a hermit. You want flexibility without drifting into 11 p.m. "just one more thing" spirals. And you want your team to feel like a team, not just avatars in a status channel. This guide blends human factors with ops pragmatism. Short, testable ideas. Minimal ceremony. A little empathy for the person behind the keyboard.
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Preparing for cloud failures: Monitoring strategies for distributed hybrid infrastructure

When AWS experienced its recent outage, the ripple effect was immediate. Critical workloads slowed, dashboards went blank, and many teams realized multi-cloud isn't automatically resilient. Cloud-level failures are inevitable due to the interdependent components and complex IT architecture. The recent AWS disruption reminded many teams that the cloud isn't a magic uptime guarantee. Even the most mature providers can-and do-experience large-scale service interruptions.

Devart ODBC Drivers vs Free ODBC and JDBC: Key Comparison

Most teams never question the JDBC or ODBC drivers they use. If it connects, it’s “good enough.” That assumption can cost more than $14,000 per minute during an outage, according to EMA’s 2024 IT downtime benchmark. Drivers are more than connectors. They dictate how efficiently data moves between databases, applications, and analytics tools. When overlooked, the entire stack slows down. Breakdowns at this level lead to failed reports, missed deadlines, and avoidable downtime.