You’ve probably heard of the “shift-left” mantra as it echoes throughout the tech industry. And if you haven’t, let me be the first to update you that you’ve been living under a rock. Like a real rock, not even a figurative one. In all seriousness, ‘shift-left’ has shaken things up quite a bit in the tech industry, bringing with it a paradigm shift in how we approach software development.
In software development, striking a balance between cost and quality can sometimes feel as tricky as finding a bug in a spaghetti code. Observability tools face a similar dilemma, often consuming a significant portion of the budget and growing significantly year over year. The irony? The vast majority of the data gathered is never used. As is often the case, the driving force behind this trend is not an emotional response.
In the vast universe of coding, JavaScript has earned itself a reputation of being a dynamic, high-level, interpreted language, often employed for enhancing user experiences on the web. However, as the complexity of web applications increased, developers craved more structure, static typing, and syntax variations. Enter the JavaScript dialects. They can be seen as extensions of the original JavaScript, with each one providing alternatives suited to diverse needs and preferences.
Welcome to the exciting world of Python web frameworks. Python, which is known for its simplicity and readability, has gained immense popularity in web development. But what exactly are Python web frameworks, and why do you need them? If you’re a developer – or an aspiring one – settle in and read on.
Let’s talk about the world’s currently trending topic for a second: AI. Now, before you click out of this blog, sighing to yourself that this is yet another blog that wants to tell you how to write code with ChatGPT; bear with us. As almost everyone has used some form of AI – especially ChatGpt – to help them with some form of a task, we can all agree that it’s quite an interactive experience.
If you’ve ever been enraptured by the magical world of gaming, you’ve likely encountered Blizzard Entertainment. Known for its high-octane, immersive games, Blizzard has long been a beacon of quality in the gaming universe. Their latest offering, Diablo 4, has taken the gaming community by storm, breaking records and setting new standards for commercially and technically successful game launches.
Unless you live under an actual rock and haven’t hauled yourself into modern times, I’m sure you know – and most likely use – JavaScript. You know, the versatile and dynamic programming language that powers the web and beyond. From client-side scripting to server-side computing, and even robotics, JavaScript is everywhere. However, like any good craftsperson, a JavaScript developer knows that their work is only done once it’s been tested.
A paradigm shift is overdue in the realm of software observability. While Site Reliability Engineers (SREs) have been having fun with metrics, traces, and logs, software developers have been left in the lurch, shackled to the conventional, low-fidelity tool of logs. Why should SREs have all the fun, right? Welcome to the dawn of a new era. An era where developers, too, can enjoy superior observability engineering. That’s where the fourth pillar of observability comes in: Snapshots.
Logging is ancient history. You know – old and outdated. At one time, it was the best method – like sending carrier pigeons to convey messages – but we live in an ever-changing world. Long gone are the days in which logging was the primary method when troubleshooting and debugging. Any developer who was written millions of log lines can attest to the fact that they’ve probably needed to access maybe 1% of those.
Cloud logging services have long been plagued by limitations and high costs, hindering companies’ ability to achieve true flexibility in their operations. One of the primary obstacles is the lack of flexibility in traditional cloud logging services, which often require companies to make upfront decisions about log levels and storage capacity, locking them into fixed plans for extended periods.
