Logging as a service (LAAS) is a type of cloud computing service that allows organizations to store and manage their log data in a central location. This type of service typically includes features such as centralized storage, real-time analytics, and search capabilities, as well as tools for visualizing and analyzing log data. Logs help you debug and troubleshoot your applications. They are also useful for other purposes like auditing and compliance, performance monitoring, and security.

In the world of observability, there are several distinct problems to solve. Fast queries, intuitive visualizations, scalable storage, and more. The technical problems receive the most attention; however, there is another, more subtle problem. How do observability platforms facilitate collaboration on the scale needed by organizations?

Client logging refers to the practice of collecting and storing log messages generated by client software, such as a web browser or mobile application. These log messages can provide valuable information about the behavior and performance of the client software, as well as any errors or issues that may have occurred. Client logging is often used by developers to troubleshoot and debug software issues, as well as to gather data for analysis and performance optimization.

When the world went remote in March 2020, cloud technologies made work possible. Rapid digital transformation changed everyone’s jobs, whether in-office, remote, or hybrid. Today, your business relies on network speed for everything from productivity to customer service. Keeping your company’s services running means you need to make sure you have low-latency connectivity across data centers, users, and cloud.

The Java Management Extensions (JMX) framework is a Java technology that includes tools for managing and monitoring applications, system objects, and service-oriented networks. The JMX framework is designed to simplify the management of local and remote Java applications. The JMX framework introduces the concept of MBeans for real-time management of applications, whereby resources are represented by objects called MBeans (Managed Beans).

The rise of modern applications has kicked basic monitoring tools to the curb. With observability, teams can proactively know, in real-time, what’s happening across the entire stack. Observability allows us to take a holistic view of our IT systems and learn about the current state based on the environment and the data it generates. But how do you properly implement observability? Here are 6 guiding principles to make sure your IT and DevOps teams are set up for success.

Morgan is a popular HTTP logging library for Node.js. It is designed to be a simple and flexible tool for logging HTTP requests and responses in Node.js applications. Using Morgan, you can easily log requests made to your Node.js server, including information such as the request method, the URL of the request, the status code of the response, and the length of the response body. You can also customize the format of the log messages and specify which requests should be logged and which should be ignored.

NASA’s Nov’16 2022 launch kicked off highly anticipated Artemis 1 mission, sending an uncrewed Orion capsule on a nearly 26-day trek to the moon and back. The Space Launch Systems (SLS) megarocket appeared to perform exactly as planned during the liftoff, and was “simply eye-watering,” said the agency. Drawing analogies, we here at CloudFabrix had our own “Artemis 1 moment”.

Businesses around the world are increasingly turning to container technology to streamline the process of deploying and managing complex, cloud native applications. Containers bundle all necessary dependencies into a single package, offering portability, speed, security, scalability, and ease of management, making them the preferred choice over traditional virtual machines (VMs).

If you are like me, I always look forward to reading (here writing) a company's Year in Review and this year is no different. However, as I reflect back on 2022, I realized we achieved a five year anniversary. An anniversary of completing a very big vision of transforming customer’s cloud object storage such as AWS S3 into the first stream-based Search+SQL Analytic Database. Initially providing access via the Elastic (Search) API, then Presto (SQL), at scale and in production.