In the dynamic realm of serverless computing, monitoring and observability stand as pillars of reliability and performance. This article delves into the essential strategies and tools for monitoring serverless applications, covering key aspects such as logging, tracing, and metrics collection. By adopting a holistic approach to observability, organizations can gain deep insights into their applications' behavior and performance, empowering them to optimize resource usage, improve reliability, and deliver exceptional user experiences in the dynamic world of serverless computing.

In the dynamic landscape of serverless computing, orchestrating complex workflows and coordinating distributed tasks are pivotal challenges that organizations must address to build scalable and efficient applications. This article delves into the techniques and tools available for serverless orchestration and workflow management, with a focus on platforms like AWS Step Functions and Azure Durable Functions. By exploring these powerful tools, developers gain insights into how serverless architectures can seamlessly coordinate workflows, handle state management, and ensure fault tolerance, ultimately unlocking new levels of efficiency and agility in their applications.

Optimizing serverless: balancing performance and cost efficiently. Strategies include resource allocation and cold start mitigation.

In the fast-evolving landscape of cloud computing, serverless architectures have emerged as a game-changer, offering unparalleled scalability and cost-efficiency. However, with great innovation comes great responsibility, particularly when it comes to security. In this article, we'll explore essential strategies and best practices to fortify the security of your serverless applications.