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DEVCLUB.EE keskendub tarkvaratöö otsustele, mis ulatuvad üksiku koodirea kirjutamisest kaugemale. Kuupäeva, esineja nime ning teemaga tähistatud ettekanded käsitlevad süsteemide toimimist, testimist…
DEVCLUB.EE keskendub tarkvaratöö otsustele, mis ulatuvad üksiku koodirea kirjutamisest kaugemale. Kuupäeva, esineja nime ning teemaga tähistatud ettekanded käsitlevad süsteemide toimimist, testimist, andmebaase, disaini ja meeskonna koostööd. Valikus kohtuvad tehnilised lahendused ning töökorralduslikud küsimused, mistõttu saab arendamist vaadelda tervikuna: kuidas süsteem valmib, kuidas seda kasutatakse ning kes selle toimimise eest vastutab.
Näiteks ebastabiilseid ühikteste käsitlev ettekanne suunab tähelepanu testitulemuste usaldatavusele. Valvekorralduse teema avab arendaja vastutust pärast tarkvara kasutuselevõttu, pangas skaleeruvate mikroteenuste käsitlus toob sisse konkreetse tegevuskeskkonna. Need näited aitavad liikuda tehnoloogia valimisest selle igapäevaste tagajärgedeni. Küsimus pole ainult selles, kas lahendus töötab, vaid ka selles, kuidas selle tööd kontrollida ning probleeme lahendada.
Tehisintellekti agentide selgitus ja MCP tööriistade kasutamine andmebaasitöös lisavad valikusse uusi tööviise. Kasutajaliidese disainitaju, teenusedisaini ning avalike suhtluskanalite eelistamise teemad laiendavad vaadet veelgi. Ettekannete kaudu saab jälgida, kuidas tehniline kvaliteet seostub kasutuskogemuse või sellega, kuidas teadmine meeskonnas liigub.
Kanal sobib arendajale, testijale, tehnilisele juhile või disainerile, kes soovib mõista ka enda põhirollist väljapoole jäävaid otsuseid. Mõni osa pakub võimalust süveneda tuttavasse probleemi, teine aitab sõnastada küsimusi koostööpartnerile. Ettekandeformaat võimaldab keskenduda ühele teemale korraga ning võrrelda eri esinejate rõhuasetusi. Läbiv väärtus on võimalus siduda tehnilised valikud süsteemi kasutamise, hooldamise ja meeskonna tööga.
Uusim osa
2026.09.17 Franklin Ezeji - SchedNext: Building a Lightweight Agent Runtime for Cloud, Edge, and...
SchedNext is a lightweight agent runtime for cloud, edge, and embedded Linux. Learn how it schedules, executes, and exposes workload state without a database, always-on web API, or heavy…
SchedNext is a lightweight agent runtime for cloud, edge, and embedded Linux. Learn how it schedules, executes, and exposes workload state without a database, always-on web API, or heavy orchestration stack.
An "agent" here is a deployable workload, such as a shell script or native binary. The runtime handles execution; the workload owns its business logic.
TL;DR
- Trace the CLI/daemon architecture: Unix-socket IPC, cron scheduling, persistent state, runtime locking, and atomic configuration updates.
- Inspect live execution state with StateLens, a FUSE-based filesystem inspired by Linux /proc and /sys.
- Follow a scheduled snapshot workload to a remote ESP32-S3 camera and verify the result in a browser.
- See experimental SchedNext OS boot in QEMU, with SSH access and the runtime built into a minimal Linux image.
The discussion focuses on where a small execution layer fits beneath or outside systems such as Kubernetes and systemd, rather than replacing them everywhere.
Tech stack
Runtime and interfaces: SchedNext, StateLens, Go, Linux, FUSE, Unix sockets, JSON configuration, cron expressions.
Examples and demos: shell scripts, Python, C++, ESP32-S3, ngrok, QEMU, SSH, OpenCV, Telegram.
Chapters
00:00 Introduction to SchedNext
00:47 Automation on constrained edge devices
02:27 Agents as deployable workloads
03:18 Architecture: CLI, IPC, scheduler, and executor
05:22 Minimal dependencies, persistent state, and locking
06:09 StateLens: filesystem-native observability
07:37 ESP32-S3 snapshot demo overview
09:08 Starting the daemon and exploring the CLI
11:51 JSON configuration and workload control
14:18 Inspecting live execution state with StateLens
16:49 Camera snapshots in the browser
20:42 Design lessons: reliability and edge constraints
22:10 SchedNext OS: a minimal Linux environment
24:08 QEMU boot, SSH access, and runtime inspection
31:33 Roadmap and boundaries: cloud, edge, and device fleets
35:15 Runtime source and invitation to contribute
36:14 Q&A: AI workloads, OpenCV, and fall detection
39:47 Q&A: logging, connectivity, and workload boundaries
43:26 Q&A: alternatives and minimal Linux design
Speaker
Franklin Ezeji, Senior Software Engineer at Eesti Energia
LinkedIn: https://www.linkedin.com/in/franklin-ezeji-a68068160/
SchedNext runtime source
https://github.com/Ezeji/schednext
Try the runtime on a Linux VM or edge device and share the workload constraints you would want it to support.
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