Designed in the early 1990s Python was built to emphasize code readability and on the principle that there should be one way to do things. Python is one of the most popular programming languages and is utilized for a range of purposes including machine learning, web applications, and data analysis.

AWS MediaTailor provides a wealth of information via metrics, but one key feature that is very difficult to track is the Transcoding performance. What is transcoding and why is performance important?

Modern enterprises are more dependent than ever on data. That's why it's more important than ever for organizations to ensure that their data is accurate, reliable, and easily accessible. Data observability is a modern method that helps achieve this. It involves real-time monitoring of data to detect unusual patterns. By doing so, it ensures data quality and reliability, which boosts operational efficiency and governance.

Once upon a time, we thought “Log everything” was the way to go to ensure we have all the data we needed to identify, troubleshoot, and debug issues. But we soon had new problems: cost, noisiness, and time spent sifting through all that log data. Enter log analysis tools to help refine volumes of log data and differentiate signal from the noise to reduce mental toil to process. Log beast tamed, for now….

Redundancy and resiliency are both important factors for keeping things running smoothly in many industries. For example: Even small businesses, like home-based operations or mom-and-pop shops, should think about redundancy and resiliency to avoid disruptions in their day-to-day work. While researching for this article in my home office, my internet service went out and stayed out for a couple of hours.

With more organizations becoming tech-enabled to tackle the AI boom, a new term has emerged: the fusion team. At least 84% of companies and 59% of government entities have set up “fusion teams," according to Gartner data. A new concept coined by Gartner, the fusion team aims to encourage collaborative development among technology and business teams. But what exactly is a fusion team, and why is it becoming increasingly important in today's business landscape?

Once upon a time, we thought “Log everything” was the way to go to ensure we have all the data we needed to identify, troubleshoot, and debug issues. But we soon had new problems: cost, noisiness, and time spent sifting through all that log data. Enter log analysis tools to help refine volumes of log data and differentiate signal from the noise to reduce mental toil to process. Log beast tamed, for now….

Centralizing logs (arranging all records in one place) is often challenging as we need to decide whether to use a log shipper or directly log from the application. If you are not familiar with a log shipper, logging directly from the library might be a suitable option for development (it is easy to configure). However, in production, you'll likely want to use one of the available log shippers, mainly due to buffers, since blocking the application or dropping data (immediately) may not be an option.