Asynchronous communication between various CX applications has long been made possible by enterprise messaging solutions like IBM MQ and – more recently – Apache Kafka. Developers might assume that these two technologies are interchangeable. However, once they scrape the surface, critical differences between IBM MQ and Apache Kafka come to light.
For many organizations, making the most of the visibility Datadog offers into the health and performance of their infrastructure means displaying dashboards to stakeholders in various settings continuously and in real time. But the standard solutions for sharing dashboards to large-format displays can be onerous, involving sundry software and hardware and restrictive manual setups. These solutions can also pose significant security risks, since they tend to involve sharing passwords or devices.
In the second part of our “Kubernetes interview questions” series, we have outlined ten questions to help those that want to take their Kubernetes knowledge to the next level. Read on to learn more about the difference between Kubernetes and Docker Swarm. We’ll also be covering how an organization can keep costs low using Kubernetes. If you missed part one, check it out here.
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.
Data collected by you is a valuable asset, however, mere collection or accumulation of data may not be enough to result in a positive and noticeable change within your firm. According to Forbes, besides collecting data it is critical to make intelligent and appropriate use of data. Data is not supposed to be a visible asset. As such data collection may not be up to the mark, particularly while manually handling the process.
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.
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.
