Operations | Monitoring | ITSM | DevOps | Cloud

The proliferation of Internet of Things (IoT) devices has transformed various sectors, offering enhanced efficiency and connectivity. However, this expansion also introduces significant security challenges. Implementing robust firewall monitoring is essential to protect these devices and the networks they inhabit.

The last few months have been wild. Some of the busiest of my life, actually: For context: I’m Canadian, and all of this happened during the continued threats of annexation. All this to say, it’s been rough. I anticipated this would be a challenging time and that I would be exhausted. So, the plan became: do all the demanding things, take my sabbatical in May, and use April as an ‘in-between’ period with a bit less pressure.

It’s 3:12 AM. Somewhere in a company’s global cloud infrastructure, a server cluster begins to show unusual read/write patterns. Traditionally, IT teams wouldn’t notice until dashboards light up with red alerts—often too late to avoid an outage that costs thousands, even millions, in lost revenue and trust. But this time, it’s different.

On the first of every month we generate an extensive PDF report for every site. This report contains a summary of all check results for the month and is a snapshot available to you and your team via email and the Oh Dear dashboard. We keep the report history so each month can be viewed in a browser or downloaded as a PDF. This report can also be emailed to any email address - not just team members - perfect for keeping your customers informed.

There’s a problem in engineering culture that we don’t talk about enough: observability is an afterthought. It’s treated as tooling, not thinking. As a checkbox, not a habit. And that mindset gap creates real consequences: longer outages, frustrated teams and massive business costs. Atlassian’s Incident Management for High-Velocity Teams overview cites a 2014 study by Gartner, that the average cost of IT downtime is $5,600 per minute.

Temporal lets you orchestrate complex, reliable workflows, but when something breaks or slows down, the built-in dashboards only give you a list of events and some basic filters. You can see what happened and filter by attributes like workflow type or namespace, but you can't drill deeper. There's no way to jump straight from a metric spike to the exact trace or log line you care about.

Business process automation no longer sits on the sidelines. What was once an emerging technology is now the engine behind modern business operations. In fact, around 60% of companies already use automation tools in their workflows, according to Duke University. This is not just companies — developers are also contributing to this shift by adopting low-code, no-code, and digital process automation platforms. These new tools remove barriers that once slowed innovation.

Implementing observability in Angular applications presents unique challenges. Understanding how users experience your application and identifying performance bottlenecks requires specialized tools and approaches. This guide covers implementing OpenTelemetry in Angular applications, with practical code examples for instrumentation, data collection, and integration with observability backends.