If you’re new to the concept or just trying to keep up with the conversation, Gartner defines Observability as the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. Some folks think that Observability is a new buzzword, but in fact the term was coined in 1960 by Rudolf E. Kalman, a Hungarian-American engineer.
Control flows are the backbone of automation. Identifying what to do with a set of data – and how – is a key component of high-value automation, but it can also be confusing to wrap your head around at first. What is a conditional? And what does it have to do with a loop? How do you deal with a set of information versus a single data point?
With ARM based dev machines and servers becoming more common, it is become increasingly important to build Docker images that support multiple architectures. This guide will show you how to build these Docker images on any machine of your choosing.
Docker is a platform as a service product. With Docker, you can easily deploy applications into Docker containers. Containers are software "packages" that bundle together an application's source code with its libraries, configurations, and dependencies. This helps software run more consistently on different machines. To use Docker containers, you need to understand how Docker networking works. Below, we'll answer the question: "what is Docker network host?". We'll also take a look to see how it works.
Today we’re releasing fully redesigned Slack and Command Center experiences for FireHydrant so anyone on your team can intuitively navigate the incident response process — in the app or on the web. There are many things you can do ahead of an incident to help things run smoothly: design and document your process, automate predictable steps, train the team, and run drills.
Today, everything we work on relies on being connected to an app. Whether we are in a household or running a business, applications have become as accessible as air. Alright, almost like air. If your business relies on applications to survive, a Slow Application spells disaster. Getting to the bottom of the slowdown becomes a tedious exercise of pointing fingers and going down the rabbit hole. Even worse is if it affects a business’ customers.
Have you ever had a tough time debugging your Python code? If yes, learning how to set up logging in Python can help you streamline your debugging workflow. As a beginner programmer, you’ll have likely used the print() statement—to print out certain values across runs of your program—to check if the code is working as expected. Using print() statements to debug could work fine for smaller Python programs.
The most important thing with building out any application is to think BIG. Build for ten users now and 10,000 users tomorrow. Having infrastructure that scales as your needs do is critical for user adoption—one of the many reasons we love a serverless approach and particularly AWS Lambda. The other part of any growth journey is managing access to organizational cloud infrastructure, especially with rapidly growing organizational development and DevOps teams.
You’ve written code, you tested it and built it. Now, your release is ready to deploy into production. But: is your production environment ready for the release? That’s a question every IT professional and platform engineer should be asking before accepting a new release — whether the release is an update of an existing app or a totally new deployment. To that end, here’s a checklist to make sure that your production environment is ready to go.
