With users today expecting speed, reliability, and responsiveness from every application they use, the delivery of seamless experiences across various platforms becomes essential for organizations. Caching solutions like Redis play a vital role in these ecosystems by storing frequently accessed data in memory, reducing the need to retrieve it from slower back-end systems, such as databases.

The internet serves as the backbone for communication, collaboration, and access to information in today’s digital world. However, despite its widespread use and importance, the internet is not immune to reliability issues. From occasional slowdowns to complete outages, internet users often encounter disruptions that can impact their productivity and connectivity. Several factors contribute to internet unreliability.

Machine learning (ML) platforms such as Amazon Sagemaker, Azure Machine Learning, and Google Vertex AI are fully managed services that enable data scientists and engineers to easily build, train, and deploy ML models. Common use cases for ML platforms include natural language processing (NLP) models for text analysis and chatbots, personalized recommendation systems for e-commerce web applications and streaming services, and predictive business analytics.

On this episode of Densify Talks, we welcome Gokul Naidu, Senior Manager, Cloud Operations for SAP’s SuccessFactors Product Suite. Andrew and Gokul discuss an array of topics in the episode. The general theme of the discussion focuses on cost management and the importance of being prepared, aware, and executing the right planning in order to avoid sticker shock.