Kubernetes has become the de facto standard for container orchestration, offering powerful features for managing and scaling containerized applications. In this guide, we will explore the various aspects of Kubernetes scaling and explain how to effectively scale your applications using Kubernetes. From understanding the scaling concepts to practical implementation techniques, this guide aims to equip you with the knowledge to leverage Kubernetes scaling capabilities efficiently.
Containers have gained significant popularity due to their ability to isolate applications from the diverse computing environments they operate in. They offer developers a streamlined approach, enabling them to concentrate on the core application logic and its associated dependencies, all encapsulated within a unified unit.
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.
