Imagine this: You’ve just been offered a new job in tech. Maybe it’s your first job right out of college, and you’ve only heard of being on-call in passing conversations up until this point. Or, perhaps you’ve been in tech your whole life but never had to be on-call until today. Or, maybe you’re contemplating whether on-call is for you because your company is dangling some extra cash (because, who doesn’t like extra money!).

We’ve made the case many times that instrumentation is critical for understanding changes in the physical and virtual worlds. During this recent webinar, panelists discussed the challenges and opportunities of integrating IoT sensors into existing infrastructure, ensuring data quality and accuracy, and leveraging sensor data for operational efficiency and productivity.

As a software developer in training at Icinga, I’ve learned a lot about the nuances and importance of monitoring systems. Effective monitoring is critical for maintaining the health, performance and security of any infrastructure or application. Here are ten essential tips to help you develop an effective monitoring strategy.

Developers have created many applications over time, and they all agree that the success of their creations depends on how well the applications perform after they are deployed. Therefore, it's crucial to monitor these applications carefully. Addressing performance issues and bugs promptly is essential because if an application doesn't perform well, it can indicate potential failures in a business context as well. We have outlined ten of the top-performing APM Solutions in this blog.

We all know that managing multiple Kubernetes clusters and their resources can be challenging. However, kubectl offers several context and namespace commands to simplify this process. This comprehensive guide will walk you through using various kubectl commands to manage your Kubernetes environments more efficiently.

Do you have a Business Continuity Strategy? A successful business always has strategies to keep it running. But even with the best strategies, disruptions can always occur and cause losses. Natural disasters, pandemics, human error, fires, and other unpredictable events can potentially affect how you run your organization and serve customers. The best way to shield your business from the crippling effects of a crisis is to have a business continuity strategy.

When it comes to tackling big data, there are three superior technologies that stand out: Apache Kafka, Apache Spark, and Apache Hadoop. Each of these solutions offers distinct advantages and weaknesses. Understanding their differences is vital in choosing which technology best fits your project’s needs.