Python has become one of the most popular programming languages globally and is particularly popular in data science and artificial intelligence. Python’s popularity can be attributed to its ease of use and readability and the large ecosystem of libraries and frameworks built around it. Python is also popular among developers working on cloud-based applications, as they can use it to orchestrate complex workflows.
Let’s get real – as developers, we spend a significant amount of time staring at a screen and trying to figure out why our code isn’t working. According to Coralogix, there are an average of 70 bugs per 1000 lines of code. That’s a solid 7% worth of blimps, bumps, and bugs. In addition to this, fixing a bug can take 30 times longer than writing an actual line of code. But it doesn’t have to be this way.
When getting started, using an Infrastructure as Code (Iac) tool might seem overkill, and something that will slow down development. Building and deploying manually is often the way to go early stage - infrastructure changes constantly and having to re-write your configuration can be a pointless exercise until you have a better understanding of the fundamental pieces of your infrastructure.
Modern video streaming workflows are composed of many different services, including encoders, origins, ad servers, content delivery networks (CDNs), and more. This wide range of options enables organizations to choose the tools that best fit their needs, but it also introduces considerable observability challenges. For instance, you may have limited access to the log data from each layer of your video workflow, and the data you can access likely isn’t standardized.
In this guide, we’ll explore the basics of using Express.js middleware. We’ll create a simple Express API from scratch, then add the middleware to it and demonstrate how to use each tool. The Express middleware tools we’re going to discuss are must-haves for your initial Express.js app setup. We’ll show you how to get started with them, and you can further configure them according to your application’s unique needs.
As an organization, you might have witnessed the problem of internal devices diagnosed with a problem, and your IT department will take a lot of time to resolve the issue. Of course, the problem might be anything, but the lack of proper IT management will cost you massive productivity loss and revenue loss. In addition, this whole scenario will cause a delay in service delivery and service management. Therefore, an organization must solve the problems in a specific timeline.
Kentik Synthetics is all about proactive monitoring. With synthetic monitoring, you can investigate users’ digital experience by peeling back, layer by layer, exactly what’s going on in every aspect of the digital experience from the network layer all the way to application. Because synthetic tests can be so granular, the results provide different information than you can get from flows, streaming telemetry or other observability data.
The invasion of Ukraine has been difficult to watch, and unimaginable to live through. While the primary global focus is, as it should be, on peace and safety, it’s also critical for enterprises to prepare for the likely inevitable Russian cyberattacks.
