Artificial intelligence (AI) won’t fade anytime soon, and since Generative AI (genAI) joined the party in Nov. 2022, innovative business strategies will only get louder. The not-so-fun part of AI and genAI’s growth shows up when businesses resist change and the adoption of emerging technologies. But the truth is – business leaders must step up.
Apache Kafka, born at LinkedIn in 2010, has revolutionized real-time data streaming and has become a staple in many enterprise architectures. As it facilitates seamless processing of vast data volumes in distributed ecosystems, the importance of visibility into its operations has risen substantially. In this blog, we’re setting our sights on the step-by-step deployment of a containerized Kafka cluster, accompanied by a Python application to validate its functionality. The cherry on top?
Today, the majority of organizations operate under a hybrid cloud structure. Due to this, operations are consistently met with daily infrastructure and software changes and updates, which are also the primary cause of incidents and outages. Long gone are the days when a tech stack could be represented by a single dependency model. Microservices, CI/CD, and containers across multi-cloud make it extremely difficult to track all the changes and connect them to incidents.
Finding the root causes of IT anomalies can be challenging, but the rewards are worth it. By identifying the root cause or causes of an incident or critical failure, response teams can resolve incidents faster and determine the best steps to avoid having them recur. This can drive down both the frequency of service interruptions and their duration.
In this blog you will learn: Keyword monitoring, or simply put, the practice of checking if a specific word is still present on a website, has many uses beyond just monitoring your uptime and errors. Keyword monitoring allows you to receive alerts about updates to content, or checking the content of a JSON file based on the words or phrases you’re interested in.
