Feature/lab8

.github/pull_request_template.md

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+# Pull Request
+
+## Goal
+<!-- Clearly describe what this PR accomplishes -->
+
+## Changes
+<!-- List the main modifications in this PR -->
+- 
+- 
+- 
+
+## Testing
+<!-- Describe how you verified these changes work correctly -->
+- 
+- 
+- 
+
+## Checklist
+- [ ] Clear, descriptive PR title
+- [ ] Documentation/README updated (if needed)
+- [ ] No secrets or large temporary files committed

labs/submission8.md

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+# Lab 8 — Site Reliability Engineering (SRE)
+
+## Task 1 — Key Metrics for SRE and System Analysis
+
+### Top 3 most consuming applications for CPU
+
+1. `firefox` — 15.0% CPU
+2. `htop` — 3.3% CPU
+3. `gnome-shell` — 2.9% CPU
+
+### Top 3 most consuming applications for memory
+
+1. `firefox` — 4.2% memory
+2. `telegram-desktop` — 3.0% memory
+3. `code` — 2.6% memory
+
+### Top 3 most consuming applications for I/O rate
+
+1. `pipewire`
+2. `code`
+3. `firefox`
+
+### Disk Space Management
+
+```bash
+thallars@ASUS-TUF:~/Documents/DevOps-Intro$ df -h
+Filesystem      Size  Used Avail Use% Mounted on
+tmpfs           1.6G  3.1M  1.6G   1% /run
+/dev/nvme0n1p3  234G  151G   72G  68% /
+tmpfs           7.7G   79M  7.6G   2% /dev/shm
+tmpfs           5.0M   16K  5.0M   1% /run/lock
+efivarfs        192K  100K   88K  54% /sys/firmware/efi/efivars
+/dev/nvme0n1p1  142M   38M  105M  27% /boot/efi
+tmpfs           1.6G  148K  1.6G   1% /run/user/1000
+```
+
+#### Top 3 largest files in the `/var` directory
+
+```bash
+thallars@ASUS-TUF:~/Documents/DevOps-Intro$ du -h /var | sort -rh | head -n 10
+8.7G    /var
+7.6G    /var/lib
+7.1G    /var/lib/snapd
+```
+
+```bash
+thallars@ASUS-TUF:~/Documents/DevOps-Intro$ sudo find /var -type f -exec du -h {} + | sort -rh | head -n 3
+1.1G	/var/lib/docker/overlay2/71ad0a42ffbf0623874991bacebe042ca65a88faeb14b71e3e94efaf95b056e9/diff/usr/local/cuda-12.9/targets/x86_64-linux/lib/libcublasLt_static.a
+1.1G	/var/lib/docker/overlay2/19088371ce55893caa23479afc49e69e5f2a666da70129ca667ad25bd244f57e/diff/opt/conda/pkgs/pytorch-1.8.1-py3.7_cuda10.2_cudnn7.6.5_0/lib/python3.7/site-packages/torch/lib/libtorch_cuda.so
+1.1G	/var/lib/docker/overlay2/19088371ce55893caa23479afc49e69e5f2a666da70129ca667ad25bd244f57e/diff/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cuda.so
+```
+
+### Analysis: What patterns do you observe in resource utilization?
+
+**CPU:** Firefox dominates CPU usage at 15%, while other applications show normal background activity levels.
+
+**Memory:** Firefox again leads memory consumption, followed by Telegram Desktop and VS Code—all typical desktop applications with moderate memory footprints.
+
+**I/O:** Pipewire (audio server), VS Code, and Firefox show the highest I/O activity, likely due to real-time audio processing, file indexing/writes, and browser cache operations respectively.
+
+**Disk Space:** The `/var` directory consumes 8.7GB, with `/var/lib/snapd` (7.1GB) and Docker overlay2 layers (1.1GB each) being the primary storage consumers, indicating significant Snap package and Docker container overhead.
+
+### Reflection: How would you optimize resource usage based on your findings?
+
+**CPU/Memory:** Close unnecessary Firefox tabs.
+
+**I/O:** Configure VS Code to minimize auto-save frequency.
+
+**Disk Space:** Clean Snap package versions, prune unused Docker artifacts.
+
+## Task 2 — Practical Website Monitoring Setup
+
+### Website URL
+
+`https://afisha.yandex.ru/kazan`
+
+### API Check
+
+![](api_check.png)
+
+### Browser Check — Performance Metriccs 
+
+![](perfomance.png)
+
+### Dashboard
+
+![](dashboard.png)