Operations | Monitoring | ITSM | DevOps | Cloud

In manufacturing environments, keeping accurate records of physical assets is harder than it sounds. Equipment moves between shifts, changes hands without notice, and ends up somewhere different from where it was last logged. QR code asset tracking for manufacturing solves that problem with a lightweight, low-cost method. Each asset gets a printed label. Any team member with a smartphone can scan it, pull up the full asset profile, and update information on the spot.

Progress has been named a winner at this year's Network Computing Awards, earning industry recognition for its ongoing commitment to innovation and delivering real-world value to customers. A standout event in the UK technology calendar, the Network Computing Awards celebrate organizations and solutions that are driving measurable impact across the industry.

At least 30 minutes disappear before the average field technician can begin the actual repair. That time goes into searching for part numbers, procedures, and documentation across fragmented systems. Across 1,000 technicians and 250 working days, even this conservative estimate adds up to at least 125,000 hours of productive capacity lost to lookup activity. Yet this loss rarely appears as a separate line item on any field service P&L. This is a critical information architecture problem.

SQL Prompt's May releases focused on a new Redgate Data Modeler integration, a unified Toolbelt Essentials installer flow, and several improvements to Prompt AI reliability.

Every engineering team has a list of “things we don’t do”. No TRUNCATE TABLE in production. Every audit table must end in _audit. Foreign keys follow a naming convention. But until now, enforcing those standards has meant relying on pull request checklists, tribal knowledge, or a separate linting tool bolted onto the pipeline.

A well-defined incident management process can mean the difference between a minor disruption and a major business outage. When critical services fail, every minute of downtime matters. Yet many IT teams still face challenges such as unclear ownership, poor prioritization, communication gaps, alert fatigue, and manual processes that delay resolution. The result is longer outages, missed SLAs, and frustrated users.

Tokens per watt (TpW) – the measure of useful AI work produced per watt of energy consumed – is the metric at top of mind for CEOs, heads of AI, and infrastructure teams alike. With the tremendous cost of GPU clusters, extracting as much value as possible from the expense is critical. But in the pursuit of tokens, it’s important to remember that hardware efficiency isn’t the only factor influencing data center operating costs, or the output of useful, revenue-generating AI work.

The previous post in this series focused on shared context and why hybrid operations depend on a connected view across cloud, network, and infrastructure. Once that context is in place, the operational benefits become easier to see—especially during incident response, where signal volume and fragmented tooling can slow teams down. Alert noise remains one of the most persistent challenges in hybrid environments. Every layer of the stack can generate its own warnings, anomalies, and service events.

Discover the Megaport MCP Server and how it enables AI-powered, agentic networking through natural language access to network infrastructure. By Miwa Fujii, Community Manager - Terraform and Ryan Tucker, Solutions Architect In the cloud networking era, we’ve moved from manual configurations in the Portal to Infrastructure as Code (IaC), Terraform. But the next frontier isn’t just code, it’s intelligence. We are pleased to announce the release of the Megaport MCP Server (Open Beta).

Environment drift persists when teams standardize code but leave infrastructure, data, and access decisions to individual teams and manual setup. Most teams know their environments are not identical. What they underestimate is how quietly the gap widens. A database version is out of sync between production and staging; an environment variable is added manually to one server but never tracked; a cron job runs in production but was never captured in the dev config.