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

Introducing Harness Agent DLC: Extending your SDLC to AI Agents

Harness Agent DLC: Ship AI Agents to Production Safely Building an AI agent is easy. Getting one into production safely is where teams get stuck. Harness Agent DLC extends the software delivery lifecycle to AI agents, giving teams a clear path to evaluate, deploy, secure, observe, and optimize agents in production. Learn more: Because agents dynamically choose their own tools, APIs, and actions, their behavior can change every time they run. Harness Agent DLC gives engineering teams the controls needed to move beyond experiments and operate agents safely at scale.

How to Optimize Cloudflare Connectivity for Performance, Cost, and Control

Learn why adding a dedicated network edge between Cloudflare and your cloud can deliver faster, more predictable, cost-efficient traffic. There was a time when every user first connected to the corporate network before accessing business applications. The network perimeter was well defined, and IT controlled it; security was centralized behind firewalls, VPN concentrators, and proxy servers. Today, that perimeter no longer exists.

Canonical announces the Enterprise Store as part of Ubuntu Pro

The Enterprise Store makes software distribution manageable and scalable behind firewalls or in air-gapped environments. Available with an Ubuntu Pro subscription, the Enterprise Store respects the security protocols of strict environments, in a way that is controllable, auditable, and predictable.

DRIVE Deep Dive: Vigilance

This is the fourth post in our DRIVE Deep Dive series. Over the coming weeks we're examining each pillar of the DRIVE framework in turn. For the complete model, download the full DRIVE framework. Our last post covered Initiatives. Up next: Efficiency. The bottleneck on writing code is gone, and the industry is responding the way it always does when a constraint disappears: by producing more.

Optical Freedom in the Age of AI: Why Thin Transponders Are Reshaping Optical Network Design

AI is driving the next wave of digital transformation, but it is also creating an unexpected challenge for network operators: optical capacity is becoming a strategic bottleneck. The same AI boom fueling billions of dollars in data center investment is placing unprecedented demand on optical networking infrastructure.

New dcTrack Connector for NetBox

NetBox is an open-source platform used for network infrastructure management and documentation, helping organizations track networks, devices, IP addresses, circuits, and racks. Sunbird’s new NetBox connector programmatically pulls device, port, and cabling data from NetBox into dcTrack using a preconfigured base XML connector, driving automation and giving you a single pane of glass and single source of truth across your entire infrastructure.

Better Together: Last9 + Altinity

Last9 and Altinity now run observability entirely in your own cloud, metrics, logs, traces, and profiles on an open-source ClickHouse stack, priced on capacity instead of ingestion, with Altinity operating the database so your team doesn't have to. Last9 is an observability platform built for high-cardinality telemetry. It unifies logs, metrics, and traces with native OpenTelemetry and Prometheus support, real-time alerting, and long-term retention.

What engineering teams are getting wrong in 2026

Ask any engineering leader how AI has changed their team, and you'll get an optimistic answer. Ask them to prove it with a number, and most go quiet. That gap is the story of 2026. Individual engineers are faster than they've ever been. Teams, in a lot of cases, aren't. We talked to our own engineering team, the people who've spent the last year building and shipping Upsun Dispatch and living through exactly this shift, and the same tension came up again and again.

How to Test IT Workflows for Enterprise Workflow Automation

Enterprise workflow automation can deliver faster resolution and ultimately more time back for IT teams. But not every workflow is ready to automate on day one, is it? This is where many automation programs stumble. Teams often start with signals like the most visible problem or the workflow that creates the most frustration. These are useful signals, but they’re not enough on their own. The best automation candidates are usually repeatable, measurable, and have clear inputs and outputs.