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

Docker Stop vs Kill: When to Use Each Command

When a container starts consuming excessive memory or becomes unresponsive, you need a way to shut it down. The two primary options — docker stop and docker kill,both terminate containers, but they operate differently and have different implications. The key difference: docker stop sends SIGTERM for a graceful shutdown, then escalates to SIGKILL if the process doesn’t exit in time. docker kill skips straight to SIGKILL, terminating the container immediately.

Rollbacks, Red Eyes And Unreliable Deployments

We spoke to data professionals from a range of industries about the impact of unreliable database deployments — not just on their systems, but on their workload, time, and well-being. From delayed releases to weekend firefighting, and the fallout for teams and customers, they share the day-to-day pressures they face and the small changes that help make deployments, and life, a little less stressful. What stood out from these conversations?

Managed IT Services in Mississauga: Reliable Solutions

In today's fast-paced business environment, having reliable IT support is crucial for success. Companies in Mississauga are no exception, as they face unique challenges in maintaining their technology infrastructure. With the increasing demand for efficient and secure IT systems, businesses are turning to managed IT services to stay ahead of the curve.

Securing AI with AI-SPM: The Next Step in AI Risk Management

The conversations around artificial intelligence (AI) typically revolve around its vast potential: writing applications, automating tasks, or transforming entire industries. However, despite the excitement around AI’s potential, the more pressing issue for many organizations is how to manage the risks of deploying it at scale across the enterprise. This is where AI Security Posture Management (AI-SPM) comes into play.

What we learned from load testing Shopware at scale

We ran real-world load tests across seven different infrastructure plans—from Grid to Dedicated Split—using realistic conversion rates, bot traffic blends, and ERP-driven API imports. The findings were clear: performance scales predictably with resources, but only if your code, cache, and configuration keep up. This blog post walks through key results, why API load is disproportionately expensive, and what metrics matter most. How well does Shopware actually perform under load?

On-Call Schedules: Everything You Need to Know

I use Slack daily. It works perfectly fine. Outages rarely happen. Even if they happen, they are resolved quickly. And this is the same for many other tools. But how are they all doing it—Keeping services running and resolving issues quickly? The secret: On-Call Schedules. On-call schedules make sure someone is always available to handle emergencies, so your systems stay reliable.

DevEx Unpacked 006 - Leadership, Scaling & Serving Developers with Glenn Weinstein

Episode 006: In this episode of DevEx Unpacked, Cloudsmith co-founder Alan Carson sits down with CEO Glenn Weinstein for a deep dive into leadership, growth, and developer-first thinking. Glenn shares his journey from programming on a Commodore PET to founding and selling a startup, his lessons from Twilio, and what drew him to lead Cloudsmith. The two discuss what it takes to build a category-defining company from Belfast, navigating VC funding, and how values like resilience, clarity, and service drive long-term success.

The Real Cost of DIY Infrastructure Management vs. Enterprise-Ready Solutions

Many IT teams underestimate the true cost of managing infrastructure themselves. At first glance, DIY tools may seem like a cost-effective and flexible solution — but the workflows you build and manage with in-house tooling reveal a host of hidden expenses, inefficiencies, and risks as your IT scales. While it’s not a new problem, it’s one that’s revealing itself more and more clearly as time goes on.

Log Management and Query Optimization in Kibana

When troubleshooting with the Elastic Stack, Kibana is often the interface you’ll rely on to query and visualize logs. It doesn’t change the data—it just makes it searchable and a bit easier to work with under pressure. If you’re investigating an outage, tracking performance issues, or trying to correlate events across services, Kibana’s log exploration tools can speed up the process, assuming they’re configured and used well.