Operations | Monitoring | ITSM | DevOps | Cloud

Friends of this blog know that I am a big fan of building internal tools, or as we call them, "tools that help scale people". As the name suggests, internal tools are used, well, internally and as such usually will require their access to be restricted to the company's staff and network. In the past, I've written about how to use Tailscale for authentication of internal tools using HTTP. In this post, I will show you how to use Tailscale for gRPC authentication in Golang.

In today’s digital landscape, delivering a flawless customer experience is the ultimate competitive advantage. However, traditional methods of ensuring service resilience during operation can often be both expensive and cumbersome to maintain. This is where left-shift operations come into play—a powerful strategy aimed at instilling quality and resiliency in the early stages of building and delivering high-quality products and services..

Any concerns you had before clicking on this article about artificial intelligence (AI) generated content should be immediately dispelled. There were some noticeable concerns among writers about AI-generated content not being good enough. At the start, I despised using AI for the longest time and refrained from using it as I considered it an insult to my intelligence and skills. That was before I started using AI tools on a colleague’s request for the first time around two months ago.

OpenAI’s ChatGPT has an extraordinary ability to process natural language, reason about a user’s prompts, and generate human-like conversation in response. However, as the saying goes, “a picture is worth a thousand words” — and perhaps an even more significant achievement is ChatGPT’s ability to understand and answer questions about images.

In our previous post, we discussed how to generate Images using Stable Diffusion on AWS. In this post, we will guide you through running LLMs for text generation in your own environment with a GPU-based instance in simple steps, empowering you to create your own solutions. Text generation, a trending focus in generative AI, facilitates a broad spectrum of language tasks beyond simple question answering.