Operations | Monitoring | ITSM | DevOps | Cloud

Create microservices with gRPC with Spring, and leverage Managed Service for Prometheus and Grafana for monitoring and observability.

In Part 1 of this blog, we prepared our demo container environments using Docker for the Node Express and Python Flask applications. Now, we move on to the more complex phase of our exploration, where we will dissect and explain the inner workings of our applications. This sequel is designed for those who want to improve their web development skills, offering a comprehensive guide to debugging and tracing.

Managing web applications from the ground up can be a daunting task. One application alone can quickly grow in complexity, let alone the multiple applications that are often required by different business units and stakeholders growing simultaneously. Add the ever-changing landscape of trendy frameworks and runtimes, and you quickly find yourself with an unmanageable mess of different technologies. Standardizing your application stack can help reduce the clutter.

In an era where digital data is both an asset and a liability, the significance of Data Loss Prevention (DLP) cannot be overstated. SharePoint Online, a cornerstone of enterprise collaboration and document management, is a focal point for DLP efforts. As businesses migrate their operations to the cloud, the need to safeguard sensitive information against leaks or breaches becomes paramount.

This is the first post in a series of two looking at debugging and tracing MySQL, which has been a foundation stone of the tech industry, utilized by applications big and small, from personal blogs to complex e-commerce platforms. MySQL has demonstrated adaptability and robustness countless times, making it a critical part of the Internet’s infrastructure. This adaptability has helped MySQL remain relevant amidst the constantly evolving technological landscapes.

Memory is a surprisingly difficult thing to get right in cloud environments. The amount of memory (also called RAM, or random-access memory) in a system indirectly determines how many processes can run on a system, and how large those processes can get. You might be able to run a dozen database instances on a single host, but that same host may struggle to run a single large language model.

Another year, another quantum leap in public cloud spending. 2022 saw organizations spend $491 billion on the public cloud; not to be outdone, 2023’s $563.6 billion marked the first year that public cloud spending exceeded half a trillion dollars. Accelerating cloud spend mixed with shaky macroeconomic conditions meant one thing: Efficiency has never been a higher priority for cloud-driven organizations.