Operations | Monitoring | ITSM | DevOps | Cloud

We're launching a ServiceNow integration in early January that brings Obkio's network monitoring capabilities directly into your IT service management workflow.

Our annual Observability Survey provides some great insights on the state of industry and all things observability. And for the third edition of the survey, published last March, we wanted to bring the results into a Grafana dashboard—not just because we could, but because it was quite a nice way to interact with the data. After all, Grafana isn't just for IT observability. You can use it to monitor everything from BI data to lunar landings to pet pythons—and now, survey data.

WooCommerce powers a massive portion of the internet’s commerce layer, largely because it looks simple. Install a plugin, connect Stripe, choose a theme, and suddenly WordPress becomes a store. That perceived simplicity is also what makes WooCommerce fragile in production. WooCommerce stores are not single systems.

This fall and winter have had their share of major outages (including AWS, Azure, and Cloudflare), and December was no exception. On December 5, 2025, Cloudflare suffered a 25-minute outage that served responses with HTTP 500 errors to about 28% of HTTP traffic served by Cloudflare. Since Cloudflare handles an average of 81 million HTTP requests per second, this represents a substantial chunk of internet traffic, including LinkedIn, Zoom, and Downdetector.

Global ad fraud losses hit $88 billion in 2023 and are projected to reach $172 billion by 2028. For a marketing organization deploying $20 million annually across digital channels, this translates to $1.8-3 million in misallocated capital. Money that could fund two additional demand gen campaigns or expand your martech stack. Worse, fraudulent traffic contaminates your analytics, causing you to double down on underperforming channels while starving high-potential ones.

Telecom executives face a retention crisis that headcount cannot solve. Customers churn within 48 hours of a service incident, and traditional support models, even AI-powered chatbots, respond to problems rather than prevent them. The carriers closing this gap aren't expanding call centers. They're deploying agentic AI that predicts issues, executes resolutions, and learns from every network signal.

This guest blog post is authored by Dieter Matzion, a seasoned cloud practitioner who has operated exclusively in public cloud environments since 2013, with experience at leading technology companies including Google, Netflix, Intuit, and Roku. Custom metrics play a crucial role in enabling teams to monitor their applications and businesses. The flexibility of these metrics allows engineers to measure what matters most to their domain.

Early-stage engineering teams ship fast and learn in production. While speed is a competitive advantage, it can also lead to a high volume of noisy signals, like stack traces, timeouts, and dashboards full of red. Some of those problems can affect your users and revenue, but many don’t.

“Every engineering decision is a cost decision,” notes Ben Johnson, co-founder and CTO of Obsidian Security. That’s the reality of building modern SaaS products in the cloud. But as Ben points out, the answer isn’t to make engineers think long and hard about every dollar they spend. “You don’t want your team hesitating to solve risky technical problems because a choice might add $100 to the bill.

This blog post is based on a product presentation by Antonis Kalipetis, Staff Engineer at SymfonyCon 2023, about Upsun's experience with Nix. We utilized ChatGPT for transcription and to enhance the grammar and syntax. Django deployments have evolved since the framework's early days.