{'fraction_non_alphanumeric': 0.029006526468455404, 'fraction_numerical': 0.0, 'mean_word_length': 5.7317073170731705, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
The Relevance of Container Monitoring Towards Container Intelligence

The Docker platform has become the leading containerization-enablement solution these days. Containers emerge as the most appropriate way for agile software development, packaging, shipping and deployment across heterogeneous IT environments (local servers, cloud servers, personal devices, etc.). The software portability being achieved through the containerization movement is being applauded by business houses and IT industry professionals. Containers are being touted as the viable alternative to virtual machines, which are verbose and bulky. The faster provisioning, the real-time scalability, and quick transmission of application containers are being pronounced as the key differentiators of the containerization paradigm. With a growing array of enabling tools from various product vendors, the realization of containerized cloud environments is picking up fast. The DevOps concept gets strengthened with the faster maturity and stability of the Docker platform. As a result, IT can ship faster and run the same application, unchanged, on laptops, data centre VMs, and any cloud. In this paper, the integration of Docker containers with the monitoring tool “Sysdig” (https://sysdig.com/) is explained. This integration simplifies and streamlines the container monitoring, measurement and management.