Operations | Monitoring | ITSM | DevOps | Cloud

Organizations of all sizes rely on their observability data to drive critical business decisions. Production Engineers across Development, ITOps, and Security use it to understand their systems better, respond to issues faster, and ultimately provide more performant and secure user experiences. But while the value of observability data is well understood, teams struggle to derive value from it.

How enterprises store and split up observability and security data is a great analogy to how lint, spare change, and partially-eaten bags of popcorn end up under couch cushions. Or when you tell your kids to clean up the house when company is coming over and they stash their toys and your tools in various nooks and crannies.

My father worked with some of the very first computers ever imported to Italy. It was a time when a technician was a temple of excellence built on three pillars: on-the-field experience, a bag of technical manuals, and a fully-stocked toolbox. It was not uncommon that missing the right manual or the correct replacement part turned into a day-long trip from the customers’ site to headquarters and back.

Among the 12 greatest stressors in life, six revolve around healthcare issues. From loss of a loved one to pregnancy and even retirement, these events often involve interactions with healthcare services — interactions that can either add to an individual’s stress or, ideally, help alleviate it.

A reliable database system is necessary in the IT operations of an organization to ensure unhindered delivery of information. This is especially true when it comes to business-critical applications, as disruptions in a database system directly impact the end-user experience, ultimately harming your revenue and reputation. Learn about the difficulties inherent to database systems and how monitoring helps resolve these problems.

Kafka vs RabbitMQ – A side-by-side comparison of the performance and architectural differences between the two popular open-source messaging systems. As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka – Which one is a better message broker?

Employee engagement is the key to boosting IT workplace productivity in an organization. But bad digital employee experience (DEX) can result in disengagement, hurting your company’s net income and increasing employee turnover. According to Gallup’s 2022 Workplace report, disengaged employees cost the global economy a whopping $7.8 trillion loss in productivity. For US companies, the cost is around $350 billion for a single year.