Full-Stack Engineer
Author: drweb
TL;DR — Key Takeaways JFrog introduced zero-touch remediation that can automatically steer developers toward secure binary versions when requested versions contain known vulnerabilities. New AI-focused security capabilities include AI Asset Scanning, Agent Guard and support for Microsoft’s Agent Package Manager to govern how AI agents consume software components. JFrog Traffic Controller can block direct calls to public registries and reroute package traffic through Artifactory, with support announced by Cloudflare, Netskope and Zscaler. JFrog today at its swampUP 2026 conference added a zero touch remediation capability that ensures the most secure version of a binary is provided even when application developers…
TL;DR — Key Takeaways CrowdStrike introduced Real-Time Supply Chain Attack Protection to block malicious open-source packages at the endpoint before embedded code can execute. The capability protects both human developers and AI coding agents by intercepting package manager transactions on Windows, macOS and Linux systems. CrowdStrike says the technology gives DevSecOps teams visibility into where compromised packages are installed and can automatically trigger remediation workflows. CrowdStrike today at its Fal.con 2026 conference extended its reach into the realm of software supply chain security with the addition of an offering that blocks malicious open-source packages at the endpoint before their embedded…
During my doctoral research on modern engineering practices and operational efficiency, one pattern kept surfacing that I did not expect to find. The engineering teams making the most measurable progress on sustainability were not the ones that had appointed green committees. They were the ones running tight DevOps discipline: right-sized fleets, lean pipelines, tuned alerting, progressive rollout, carbon-aware routing. The same practices that cut cost and toil were quietly cutting emissions at the same time. Nobody was measuring it that way.That observation became a thread I kept pulling. The more I looked at how modern engineering practices drive operational efficiency,…
A RAG pipeline that answers questions in the demo is not the same thing as a RAG pipeline that answers them correctly. The gap between the two only shows up once you start measuring precision, recall, and faithfulness instead of eyeballing a handful of outputs. This post covers two ways to run that measurement: a fully local setup with a vector database and an open model as judge, and Amazon Bedrock’s native Knowledge Bases evaluation.How the evaluation knows what is correctThis is the part that trips people up, and it splits the metrics into two families. Faithfulness and answer relevancy do not…
For years, cloud infrastructure changes were mostly a mystery. An engineer would log into a dashboard, tweak a setting, run a few scripts, and that was it. Nobody worried until something broke. Suddenly, everyone wanted answers. Who changed this? Was it tested? Can we fix it? How did production end up out of sync with what’s in the repo?Modern cloud setups make it impossible to ignore these questions. Teams wrangle Kubernetes clusters, cloud services, databases, networking, app configs, security policies, all spread across different environments. Manual changes just don’t scale.Enter GitOps.Instead of using Git solely for app code, teams now…
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ani-cli is a POSIX shell script that lets you search for anime, choose an episode, and stream it directly through mpv. It uses fzf to select titles and episodes and curl to fetch the required data. You enter the anime title, fzf shows the available matches, you choose one, select an episode, and mpv starts streaming it. No browser, no ads, no pop-ups, and no need to open multiple tabs just to find the next episode. TecMint Weekly Newsletter Get the Learn Linux 7 Days Crash Course free when you join 34,000+ Linux professionals reading every Thursday. Check your email…
TL;DR — Key Takeaways “Send less data” can become a false economy. Cutting logs, traces and retention before teams understand what matters risks removing the evidence needed during an incident. AI agents make runtime behavior less predictable. As agents generate code and alter dependencies, engineers may have less intuition about which signals will prove important in production. Optimize after understanding, not before. Sampling and filtering are necessary, but they should be deliberate engineering decisions rather than the primary way to make observability affordable. A familiar pattern is emerging in observability conversations.As telemetry volumes grow and costs rise, the default recommendation…
For a long time, monitoring just meant staring at dashboards and waiting for something to flash red. Engineers tracked things like CPU usage, memory, response times, error rates, and uptime. If a number crossed a certain line, you’d get an alert. Then, someone dived in to figure out what was wrong.That basic approach isn’t useless, but it’s just not enough anymore. Today’s systems are way more complicated. Apps run across containers, Kubernetes clusters, cloud services, databases, APIs, queues, and all sorts of third-party services. A single user’s request might hop through dozens of different pieces just to finish. Simply knowing…