Banking is a critical but highly complex industry. It is a highly regulated environment, and banking applications must be developed in compliance with privacy and security standards of the region the bank operates. Credibility is an invaluable asset to any financial institution, so they can’t afford to let any bugs, even the most minor, slip into production and impact the user experience.
Ever dealt with a misbehaving consumer group? Imbalanced broker load? This could be due to your consumer group and partitioning strategy! Once, on a dark and stormy night, I set myself up for this error. I was creating an application to demonstrate how you can use Apache Kafka® to decouple microservices. The function of my “microservices” was to create latte objects for a restaurant ordering service.
BigQuery query queues introduces a dynamic concurrency limit and enables queueing based on available slot capacity and how many queries are running.
Generative artificial intelligence (AI) is a game-changer, bringing with it the promise of unparalleled efficiency and the potential for entrée into new markets. As generative AI continues to soar in popularity, organizations are eager to tap into its transformative power. However, this enthusiasm should come with a side of caution. It’s critical that organizations develop a strong generative AI policy so the allure of new technology doesn’t lead to devastating mishaps.
