Author: adm

ZS Janus: Complete Overview and Key Features

What ZS Janus Is

ZS Janus is a data platform developed by ZS that combines advanced analytics, large-scale data integration, and domain-specific models to help commercial and operations teams make faster, evidence-based decisions. It’s designed for organizations that need to unify diverse data sources, generate trustworthy insights, and operationalize those insights into repeatable workflows.

Core Capabilities

• Data integration: Connects structured and unstructured sources (CRM, ERP, third‑party data, text) with ETL/ELT pipelines and support for batch and streaming ingestion.
• Data modeling: Provides a unified enterprise data model and domain-specific ontologies to normalize terms, keys, and hierarchies across sources.
• Advanced analytics: Built-in statistical tools, predictive models, and scenario-simulation engines for forecasting, segmentation, and optimization.
• Generative intelligence: Integrates large language models and domain-tuned models to generate summaries, automate reporting, and assist with decision-making workflows.
• Visualization & dashboards: Interactive dashboards with drilldowns, cohort analysis, and embedded narrative explanations to make insights accessible to non-technical users.
• Automation & orchestration: Workflow automation to operationalize analytics outputs (e.g., targeting lists, price recommendations) and schedule model retraining and deployment.
• Governance & security: Role-based access, lineage tracking, audit logs, and compliance controls to enforce data governance and regulatory requirements.

Typical Use Cases

• Commercial operations: Sales territory optimization, incentive plan design, quota setting, and territory alignment.
• Marketing & customer analytics: Segmentation, campaign optimization, lift measurement, and media mix modeling.
• Supply chain & operations: Demand forecasting, inventory optimization, and capacity planning.
• Pricing & revenue management: Dynamic pricing recommendations and price sensitivity analysis.
• Clinical and life sciences (where applicable): Trial site selection, patient segmentation, and real-world evidence analysis.

Key Differentiators

• Domain expertise: Prebuilt industry and function-specific models and workflows that reduce time-to-value.
• End-to-end platform: From raw data ingestion through to deployment and monitoring—minimizing integration complexity.
• Explainability: Emphasis on model interpretability and narrative explanations to build user trust.
• Scalability: Architected for large enterprise datasets and distributed compute workloads.
• Operational focus: Strong tooling for pushing analytics into operational systems and business processes.

Implementation Considerations

• Data readiness: Success depends on data quality and availability; expect upfront effort to clean and map source systems.
• Change management: Teams will need training and governance processes to adopt model-driven recommendations.
• Integration effort: Plan for integrations with CRM, ERP, marketing platforms, and data warehouses.
• Cost & licensing: Enterprise pricing varies with modules and usage; evaluate ROI on prioritized use cases first.

Measuring Success

• Business KPIs: Revenue uplift, cost reduction, forecast accuracy, cycle time improvements.
• Adoption metrics: Active users, dashboard usage, and percentage of decisions influenced by Janus outputs.
• Model performance: Precision/recall, calibration, and stability over time.
• Operational metrics: Time to deployment, data pipeline reliability, and incident rates.

Getting Started (Recommended Roadmap)

1. Identify 2–3 high-impact use cases (e.g., sales territory optimization, pricing pilot).
2. Audit data sources and establish pipeline priorities.
3. Run a pilot with a focused team, deploying a single model/workflow end-to-end.
4. Measure results and refine models and integration.
5. Scale across functions and embed governance, training, and monitoring.

Limitations & Risks

• Requires significant upstream data work for best results.
• May need customization for niche processes or highly regulated environments.
• Dependence on vendor support for advanced customization and scaling.

Conclusion

ZS Janus is a comprehensive enterprise analytics platform geared toward turning complex, cross-functional data into operational decisions. Its strengths are domain-specific tooling, scalability, and end-to-end orchestration—making it well-suited for organizations focused on measurable commercial and operational impact.

uMatrix for Opera: How to Install and Configure Powerful Script & Request Blocking

uMatrix is a granular point-and-click firewall for your browser: it lets you control which sites can run scripts, load iframes, make requests, set cookies, and more. Opera doesn’t have an official uMatrix build in its extension store, but you can install compatible builds or alternatives that provide the same request‑blocking and matrix-style rule UI. This guide shows a practical, step‑by‑step way to get a uMatrix-like experience in Opera and configure it for strong script and request blocking.

1) Options for Opera users

• Install uMatrix (if available): Some community builds (or legacy versions) may be installable if you enable developer-mode extension installation or use the Chrome Web Store for Opera.
• Use uBlock Origin (with advanced mode and dynamic filtering): uBlock Origin’s dynamic filtering UI provides near‑equivalent matrix controls and is the recommended, actively maintained alternative.
• Use a fork or compatible extension: There are uMatrix forks or similar “matrix” extensions that replicate the original UI; availability varies.

This guide assumes you’ll use uBlock Origin’s dynamic filtering in Opera because it’s maintained, readily available in the Chrome Web Store, and offers the same fine‑grained controls.

2) Install uBlock Origin in Opera

1. Open Opera → Settings → Extensions → Get extensions.
2. If needed, enable “Install Chrome extensions” (Opera’s addon page has instructions).
3. Visit the Chrome Web Store page for uBlock Origin and click “Add to Opera”.
4. Confirm installation; the uBlock Origin icon appears next to the address bar.

3) Configure core settings for matrix-style control

1. Click the uBlock Origin icon → click the gear icon (Dashboard).
2. In the “Settings” tab:
   • Check “I am an advanced user” to enable dynamic filtering (matrix UI).
   • Optionally enable “Disable cosmetic filtering” if you only want request-level blocking.
3. In the “Filter lists” tab:
   • Enable default lists (e.g., EasyList, EasyPrivacy).
   • Add extra privacy/security lists if desired (e.g., Peter Lowe’s, Malware domains).
4. In the “My rules” / “My filters” area you can save custom rules (covered below).

4) Using the dynamic filtering (matrix) UI

1. Open any webpage.
2. Click the uBlock Origin icon → click the “eye” or the large rectangle to open the dynamic filtering pane.
3. The matrix shows columns for rules (local, medium, global) and rows for resource types / domains:
   • leftmost column = local rules (per-site)
   • middle column = temporary rules (for current session)
   • rightmost column = global rules
4. Click cells to set permissions:
   • Green (allow) — permit requests of that type for that domain.
   • Red (block) — block requests.
   • Gray (neutral/unspecified) — follow higher-level rules or defaults.
5. Common useful settings:
   • Block 3rd‑party scripts and iframes by default: set 3rd‑party script/iframe cells to red on global column.
   • Allow first‑party scripts for functionality: set local first‑party script cell to green when a site needs it.
   • Use temporary rules while testing: set rules in the middle column (temporary) and commit them to “My rules” when satisfied.

5) Example starter configuration (recommended)

• Global column:
  • block 3rd‑party scripts — Red
  • block 3rd‑party frames — Red
  • block 3rd‑party XHR/fetch — Red (optional; may break some site features)
  • allow images, stylesheets — Green (to preserve layout and readability)
• Local column (per-site):
  • Allow first‑party scripts — Green (if the site needs it)
  • Allow analytics/tracker domains only if needed — Red by default
• Save durable rules: after testing, click “Commit” in the dashboard’s “My rules” to make temporary rules permanent.

6) Creating and editing rules manually

• In the uBlock Dashboard → “My rules” you can write rules like:
  • example.com 1p-script allow
  • example.com 3p-script block
• Use wildcards and domain separators to target subdomains:
  • ||example.com^ 3p-script block
• Always commit rules and click “Save” to persist.

7) Troubleshooting common issues

• Site broken after blocking scripts:
  • Temporarily allow first‑party scripts (local column) and refresh.
  • Look at the logger (uBlock Origin’s logger) to see which blocked requests cause errors.
• Video players or logins fail:
  • Allow necessary domains (CDN or auth domains) in local column.
• Extensions or updates not appearing:
  • Ensure Opera’s “Install Chrome extensions” is enabled if using the Chrome Web Store.

8) Best practices and tips

• Start conservative: block 3rd‑party scripts globally, then allow what you need per site.
• Use the logger for diagnostics before blindly allowing domains.
• Regularly update filter lists in Dashboard → Filter lists.
• Export “My rules” as backup after configuring.
• Combine with HTTPS Everywhere (or Opera’s HTTPS setting) and an ad/privacy‑focused search engine for stronger privacy.

9) If you want the original uMatrix UI

• Search for maintained forks or community builds (availability changes). If you find a compatible extension:
  • Install via the same Chrome Web Store flow or by loading it as an unpacked extension (developer mode).
  • Follow the same matrix paradigms: block 3rd‑party scripts, allow first‑party when needed.
• Warning: original uMatrix is no longer actively maintained; prefer maintained alternatives for security.

10) Quick checklist to finish setup

1. Install uBlock Origin.
2. Enable “I am an advanced user”.
3. Enable core filter lists.
4. Set global 3rd‑party script/frame/XHR to block.
5. Visit sites and allow first‑party scripts as needed.
6. Commit useful temporary rules to “My rules” and save.

Kaluma Agent vs Competitors: Which Is Right for You?

Overview

Kaluma Agent is the desktop helper for the Kaluma project (a tiny JavaScript runtime for RP2040 microcontrollers). It’s an open-source Electron-based utility that integrates with the Kaluma toolchain to simplify device flashing, serial monitoring, and project workflows. Primary competitors fall into two groups: lightweight device toolchains (vendor CLIs and microcontroller IDEs) and general-purpose embedded development assistants (serial/flash GUIs, multi-board toolchains).

Who Kaluma Agent is best for

• Hobbyists and makers using Raspberry Pi Pico / RP2040 who prefer JavaScript on microcontrollers.
• Developers who want a minimal GUI that ties directly into the Kaluma runtime and ecosystem.
• Users who value open-source tooling and lightweight local control over cloud platforms.

Competitor categories and representative tools

Key comparison points

• Ease of use

  • Kaluma Agent: Simple GUI for flashing and serial logs; low overhead to get started.
  • Competitors: IDEs like VS Code + PlatformIO offer richer workflows but require setup.

• Feature set

  • Kaluma Agent: Kaluma-focused tasks—flash, monitor, basic run control; small feature surface.
  • Competitors: Advanced debugging, breakpoint support, broad peripheral examples, large library ecosystems.

• Platform & device support

Hourly Updates: Real-Time News and Trends

What it is: A news service delivering brief, frequent updates every hour that summarize top stories, market moves, weather alerts, and social trends in a concise format.

Key features

• Brief summaries: 3–5 bullet points per update covering the most important developments.
• Categories: World, Business, Tech, Health, Weather, and Social Media Trends.
• Timeliness: Updates published at the top of each hour.
• Formats: Short text briefs, optional push notifications, and an hourly audio digest.
• Personalization: Topic filters so users receive only categories they care about.

Typical hourly update structure

1. Headline (1 line) — the main story of the hour.
2. Quick facts (2–3 bullets) — essential context or metrics (e.g., market percent change, casualty count, key quotes).
3. One-sentence impact — why it matters to readers.
4. Next watch — what to expect or follow in the next hours.
5. Source links — 1–2 reputable sources for more detail.

Audience and use cases

• Busy professionals who need a rapid situational overview.
• Traders and market watchers tracking volatility.
• Journalists and researchers monitoring breaking developments.
• Commuters who prefer short audio briefings.

Implementation notes (minimal)

• Use automated feeds (news APIs, social listening, market data) plus an editor-in-chief for verification and prioritization.
• Maintain a concise style guide and strict verification checklist to avoid spreading misinformation.
• Offer opt-in push alerts for high-impact events.

Larch Wood: Characteristics, Durability, and Craft Uses

Overview

Larch (genus Larix) is a group of deciduous coniferous trees valued for their attractive grain, natural durability, and versatility. Larch wood is used in construction, exterior cladding, boatbuilding, joinery, and fine crafts where strength and weather resistance are important.

Characteristics

• Appearance: Pale yellow to reddish-brown heartwood with lighter sapwood; pronounced straight grain with occasional knots; coarse, uneven texture.
• Density & Strength: Medium to high density (typically 540–700 kg/m³ air-dry), offering good bending and compressive strength relative to other softwoods.
• Workability: Machines and finishes well but resin can gum up tools; holds fasteners securely; glues and stains effectively with proper surface preparation.
• Stability: Moderate dimensional stability — better than many softwoods but prone to movement if not properly dried and acclimated.

Durability

• Natural Durability: Many larch species possess natural resistance to decay and insect attack, especially in heartwood. European larch and Siberian larch are noted for above-average durability among softwoods.
• Service Life: When used outdoors without preservative treatment (e.g., cladding, decking), larch can last 15–30+ years depending on exposure and maintenance; treated or sheltered applications last longer.
• Maintenance: Periodic oiling or finishing extends lifespan and preserves appearance. Proper detailing (drip edges, ventilation, end-grain sealing) reduces moisture-related degradation.

Common Uses

• Exterior Construction: Cladding, decking, fencing, and shingles — chosen for durability and rustic appearance.
• Structural Uses: Beams, posts, and heavy timbers in framed structures where strength is needed.
• Marine & Boatbuilding: Historically used for hull planking and spars because of toughness and resistance to water decay.
• Joinery & Flooring: Staircases, window frames, and solid flooring for a warm, robust look.
• Crafts & Furniture: Turnery, carving, and rustic furniture — appreciated for texture and workable grain.
• Industrial Uses: Railway sleepers, poles, and pit props where strength and durability are priorities.

Working Tips for Craftsmen

1. Tool Prep: Keep blades sharp; clean resin buildup often with suitable solvents.
2. Drying: Kiln-dry when possible to 12–15% moisture for interior uses; slow, controlled drying reduces checking.
3. Fastening: Pre-drill for screws near edges or knots; ring-shank nails improve holding power.
4. Finishing: Apply a primer or sealer to sapwood. For exterior pieces, use penetrating oil finishes, microporous stains, or clear weathering finishes. Recoat periodically.
5. Joinery: Account for moderate movement; use floating panels or elongated screw slots where necessary.

Sustainability & Availability

Larch is widely available in Europe, Russia, North America, and parts of Asia. Siberian larch provides substantial volumes from cold-climate forests; European larch is common in central Europe. Certification (FSC/PEFC) is available for sustainably harvested sources. Compare species and origin for the best balance of cost, appearance, and environmental credentials.

Comparison with Other Woods

• Versus Pine: Larch is generally denser and more durable than common pines; better outdoors without treatment.
• Versus Oak: Oak is harder and more dimensionally stable; larch is lighter and easier to work but less wear-resistant for heavy interior flooring.
• Versus Cedar: Cedar is more aromatic and naturally rot-resistant but softer; larch offers greater structural strength.

Care & Maintenance Summary

• Seal end grain and freshly cut surfaces.
• Use breathable finishes for cladding to avoid trapped moisture.
• Inspect and re-treat exterior installations every 2–5 years depending on exposure.
• Replace damaged boards promptly to prevent progressive decay.

Conclusion

Larch wood blends attractive grain, robust strength, and above-average natural durability, making it an excellent choice for exterior construction, structural uses, marine applications, and rustic crafts. Proper drying, detailing, and maintenance unlock its long-lived performance and distinctive aesthetic.

Ontopia for Enterprises: Organizing Complex Information at Scale

What Ontopia is

Ontopia is an open-source platform built around the Topic Maps standard (ISO/IEC 13250) that models concepts and their relationships as reusable topics, associations, and occurrences. It focuses on representing complex information structures, enabling semantic search, navigation, and integration across heterogeneous data sources.

Why enterprises use it

• Knowledge unification: Maps disparate repositories (documents, databases, CMS, RDF/linked data) into a single conceptual layer.
• Flexible modeling: Topic Maps allow modeling of concepts, types, roles, and relationships without schema changes.
• Improved discovery: Semantic relationships enable faceted and context-aware search beyond keyword matching.
• Governance & provenance: Tracks occurrences and source metadata to support auditability and compliance.
• Scalability: Designed to handle large topic maps and integrate with enterprise search and storage systems.

Core components & capabilities

• Topic Map model: Topics (concepts), associations (relationships), occurrences (links to resources), and scopes (contextualization).
• Indexing & search: Full-text and semantic indexing for relevance-ranked retrieval.
• APIs & connectors: REST/Java APIs and connectors for ingesting from databases, CMS, and RDF sources.
• Merging & reconciliation: Rules and tools for merging duplicate topics from multiple sources (identity management).
• Visualization & navigation: Tools for browsing topic hierarchies and relationship graphs.
• Security & access control: Integration points for enterprise authentication/authorization (depends on deployment).

Typical enterprise use cases

• Enterprise search enriched with semantic layers (knowledge-graph-style results).
• Regulatory compliance and content provenance tracking.
• Product master data management and SKU/part relationship modeling.
• Customer support knowledge bases with contextual navigation.
• Migrations from taxonomies/thesauri to richer semantic models.

Deployment considerations

• Integration effort: Requires mapping existing schemas/taxonomies to Topic Maps; expect initial modeling and reconciliation work.
• Performance tuning: Large-scale deployments need indexing and storage tuning; consider distributed search backends.
• Governance processes: Define rules for identity, merging, and lifecycle of topics to prevent model drift.
• Skills: Teams benefit from knowledge of semantic modeling, Topic Maps concepts, and integration middleware.

Alternatives & interoperability

• RDF/OWL-based knowledge graphs (e.g., Blazegraph, GraphDB) — similar goals; Topic Maps emphasize identity and occurrence semantics differently.
• Commercial knowledge-graph platforms (e.g., Neo4j) — often provide richer tooling/ecosystem but different modeling semantics.
• Hybrid approaches: use Ontopia for conceptual modeling and link to RDF or graph databases for query/performance needs.

Quick implementation roadmap (high level)

1. Inventory sources and key concepts to model.
2. Create a core Topic Map schema (topics, types, association templates).
3. Build ingestion pipelines and identity/reconciliation rules.
4. Index and integrate with search/UI components.
5. Pilot with one domain, iterate, then expand enterprise-wide.

If you want, I can: provide a sample Topic Map schema for a specific domain (e.g., product catalog or support KB), draft ingestion mappings from a database, or compare Ontopia vs. a specific alternative (Neo4j, RDF stores).

Audials Radio vs. Competitors — Which Internet Radio Recorder Wins?

Quick verdict

Audials Radio is the most feature-complete Windows-focused internet radio recorder for users who want automated, high-quality captures, large station coverage, built-in tagging and library management. Competitors win on price, platform support, simplicity, or open-source flexibility depending on your needs.

Comparison table (key attributes)

Top Image Tools for Designers and Creators in 2026

Overview

A concise selection of leading image tools in 2026 grouped by primary use and strength.

Best for professional, pixel-level editing

• Adobe Photoshop (Generative + traditional toolset) — industry-standard for advanced retouching, layers, compositing, and generative fills.
• Affinity Photo — one-time purchase alternative with strong raster tools and fast performance.

Best for RAW workflow & color grading

• Adobe Lightroom Classic (Generative features) — cataloging, batch edits, tethering, and AI-assisted corrections.
• Capture One Pro — top-tier color control and tethered studio workflows.

Best high-volume, AI-driven automation

• Imagen (Imagen AI) — automated culling, batch edits, and a personal-style learning model for fast professional throughput.
• Aftershoot / Evoto (similar workflow tools) — fast culling + export pipelines for event/wedding photographers.

Best AI image generation & iterative design

• Midjourney / Stable Diffusion (variants) — high-quality stylized generation, extensive community models and custom checkpoints.
• ChatGPT Image Generator / DALL·E / Gemini image — conversational iterative image generation integrated into broader AI workflows.

Best all-in-one, beginner-to-pro friendly suites

• Canva / Freepik (AI creative suites) — templates, rapid social-sized outputs, integrated stock and generation tools for marketers and creators.
• Picsart / Fotor / Pixlr — fast, template-driven edits and mobile-first AI tools for social content.

Best for ecommerce/product visuals

• PhotoRoom / Photoroom-like tools — automated background removal, product mockups, and batch processing tailored for ecommerce listings.

Best open-source / self-hosted flexibility

• Stable Diffusion (local installs, custom UIs) — full control, local inference, extensibility for custom pipelines and privacy-sensitive projects.

Quick comparison (high-level)

Choosing guidance (prescriptive)

• If you need precise pixel control and compositing: choose Photoshop or Affinity Photo.
• If you manage large photo libraries and need consistent outputs: choose Lightroom Classic or Capture One.
• If speed and scale matter (events, weddings): choose Imagen or Aftershoot for AI-driven batching.
• If you need creative/generated art and iterative prompts: use Midjourney or ChatGPT Image Generator.
• If you produce social marketing assets quickly: use Canva or Picsart.

If you want, I can produce a 1-week workflow mapping one of these tools to a specific project type (e.g., product shoot, social campaign, or editorial retouch).

Easy CAD Viewer — Open, View, and Inspect Files Fast

Viewing CAD files should be quick and painless. This guide shows how to open, navigate, and inspect CAD drawings using easy CAD viewers—no heavy software or steep learning curve required.

Why use an easy CAD viewer

• Speed: Launch and view large files without installing full CAD suites.
• Simplicity: Minimal controls focused on viewing and inspection.
• Compatibility: Support for common formats (DWG, DXF, DWF, STEP, STL).
• Portability: Many viewers are lightweight or web-based — use on Windows, Mac, or Linux.

Common file formats supported

• DWG / DXF: Native AutoCAD formats for 2D/3D drawings.
• DWF: Compressed drawing format for sharing.
• STEP / IGES: Standard 3D CAD exchange formats.
• STL: 3D mesh format used in 3D printing and modeling.

How to pick an easy CAD viewer

Use this checklist:

• Formats supported: Ensure it opens the formats you use.
• Performance: Can it handle large files smoothly?
• Inspection tools: Measurements, layer visibility, properties panel.
• Annotation & export: Ability to mark up and save screenshots or PDFs.
• Platform & cost: Web, desktop, free, or paid.

Quick setup and first open

1. Download or open the viewer’s web app (choose lightweight desktop for offline work).
2. Install if needed and launch.
3. Use File > Open or drag-and-drop your CAD file.
4. Wait briefly for the viewer to load the model; large 3D files may take longer.

Essential navigation controls

• Pan: Click-drag (middle mouse button or hand tool).
• Zoom: Mouse wheel or pinch gesture; fit-to-screen button centers view.
• Rotate (3D): Click-drag with right mouse or orbit tool.
• Fit view / home: One-click reset to show entire drawing.

Inspection tools to use

• Measure: Distance, radius, area, angles — verify dimensions quickly.
• Layers: Toggle layers to focus on specific elements.
• Sectioning / clipping: Slice 3D models to inspect interiors.
• Properties: Select objects to view metadata (material, color, dimensions).
• Explode/Isolate: Hide unrelated parts to simplify the view.

Tips for faster workflows

• Use keyboard shortcuts for zoom/pan/rotate.
• Turn off shadows or textures for faster rendering on older machines.
• Save frequently used views or snapshots for reports.
• Export to PDF or image for sharing with non-CAD users.

Recommended lightweight viewers (examples)

• Web-based viewers for instant access without installs.
• Free desktop viewers for offline, privacy-conscious workflows.
  (Choose one based on format needs and platform.)

Troubleshooting common issues

• File won’t open: confirm format and try exporting from the original CAD app to a neutral format (STEP/DXF).
• Slow performance: reduce rendering quality or close other apps.
• Missing elements: check layer visibility or import settings.

Quick checklist before sharing files

• Verify units and scale.
• Flatten or export 2D views for contractors.
• Include a legend or layer list when handing off files.

Using an easy CAD viewer lets you open, view, and inspect files fast—streamlining reviews, measurements, and collaboration without the overhead of full CAD software.

Automating Disk Space Checks with df and Shell Scripts

Keeping disk usage under control prevents service failures, data loss, and degraded performance. This guide shows a practical, automatable approach using the df command and simple shell scripts to monitor disk space, send alerts, and take basic remedial actions.

What you’ll build

• A portable shell script that:
  • Checks filesystem usage with df.
  • Alerts when usage exceeds configurable thresholds.
  • Optionally cleans temporary files or rotates logs.
  • Can be run manually or scheduled via cron/systemd timer.

Assumptions and defaults

• POSIX‑compatible shell (bash/sh).
• Linux systems where df supports human-readable and percent output.
• Default threshold: 85% usage triggers alerts.
• Alert method: console output and email via mailx (optional). Replace with your favorite notifier.

Script: disk-check.sh

bash
Copy CodeCopied
#!/usr/bin/env bash
# disk-check.sh — simple disk usage monitor
# Usage: disk-check.sh [threshold_percent] [email_address]
THRESHOLD=\({1</span><span class="token" style="color: rgb(57, 58, 52);">:-</span><span class="token" style="color: rgb(54, 172, 170);">85}</span><span> </span><span></span><span class="token assign-left" style="color: rgb(54, 172, 170);">ALERT_EMAIL</span><span class="token" style="color: rgb(57, 58, 52);">=</span><span class="token" style="color: rgb(54, 172, 170);">\){2:-}

# Filesystems to ignore (pattern list)
IGNORE_FS_REGEX=”^tmpfs|^devtmpfs|^overlay|^squashfs”

# Get df output (exclude header), show percent and mount
# Example line: /dev/sda150G  40G  10G  80% /
df -P -h | awk ‘NR>1{print \(1,\)5,\(6}'</span><span> </span><span class="token" style="color: rgb(57, 58, 52);">|</span><span> </span><span class="token" style="color: rgb(0, 0, 255);">while</span><span> </span><span class="token builtin" style="color: rgb(43, 145, 175);">read</span><span> -r fs pct </span><span class="token" style="color: rgb(57, 58, 52);">mount</span><span class="token" style="color: rgb(57, 58, 52);">;</span><span> </span><span class="token" style="color: rgb(0, 0, 255);">do</span><span> </span><span>  </span><span class="token" style="color: rgb(0, 128, 0); font-style: italic;"># skip pseudo filesystems</span><span> </span><span>  </span><span class="token" style="color: rgb(0, 0, 255);">if</span><span> </span><span class="token" style="color: rgb(57, 58, 52);">[</span><span class="token" style="color: rgb(57, 58, 52);">[</span><span> </span><span class="token" style="color: rgb(54, 172, 170);">\)fs =~ \(IGNORE_FS_REGEX</span><span> </span><span class="token" style="color: rgb(57, 58, 52);">]</span><span class="token" style="color: rgb(57, 58, 52);">]</span><span class="token" style="color: rgb(57, 58, 52);">;</span><span> </span><span class="token" style="color: rgb(0, 0, 255);">then</span><span> </span><span>    </span><span class="token builtin" style="color: rgb(43, 145, 175);">continue</span><span> </span><span>  </span><span class="token" style="color: rgb(0, 0, 255);">fi</span><span> </span> <span>  </span><span class="token" style="color: rgb(0, 128, 0); font-style: italic;"># strip % sign</span><span> </span><span>  </span><span class="token assign-left" style="color: rgb(54, 172, 170);">used</span><span class="token" style="color: rgb(57, 58, 52);">=</span><span class="token" style="color: rgb(54, 172, 170);">\){pct%%}
  if (( used >= THRESHOLD )); then
    msg=“ALERT: \(mount</span><span class="token" style="color: rgb(163, 21, 21);"> (</span><span class="token" style="color: rgb(54, 172, 170);">\)fs) is at \({used}</span><span class="token" style="color: rgb(163, 21, 21);">% (threshold </span><span class="token" style="color: rgb(54, 172, 170);">\){THRESHOLD}%)”
    echo “\(msg</span><span class="token" style="color: rgb(163, 21, 21);">"</span><span> </span><span>    </span><span class="token" style="color: rgb(0, 128, 0); font-style: italic;"># send email if configured</span><span> </span><span>    </span><span class="token" style="color: rgb(0, 0, 255);">if</span><span> </span><span class="token" style="color: rgb(57, 58, 52);">[</span><span> -n </span><span class="token" style="color: rgb(163, 21, 21);">"</span><span class="token" style="color: rgb(54, 172, 170);">\)ALERT_EMAIL” ]; then
      printf ”%s

Full df -h output:
“ ”\(msg</span><span class="token" style="color: rgb(163, 21, 21);">"</span><span> </span><span class="token" style="color: rgb(57, 58, 52);">|</span><span> </span><span class="token" style="color: rgb(57, 58, 52);">cat</span><span> - </span><span class="token" style="color: rgb(57, 58, 52);"><</span><span class="token" style="color: rgb(57, 58, 52);">(</span><span class="token" style="color: rgb(57, 58, 52);">df</span><span> -h</span><span class="token" style="color: rgb(57, 58, 52);">)</span><span> </span><span class="token" style="color: rgb(57, 58, 52);">|</span><span> mailx -s </span><span class="token" style="color: rgb(163, 21, 21);">"Disk space alert: </span><span class="token" style="color: rgb(54, 172, 170);">\)mount at \({used}</span><span class="token" style="color: rgb(163, 21, 21);">%"</span><span> </span><span class="token" style="color: rgb(163, 21, 21);">"</span><span class="token" style="color: rgb(54, 172, 170);">\)ALERTEMAIL“
    fi
    # optional automated action: rotate logs or clean cache
    # example: delete files older than 30 days in /var/log/myapp (customize)
    # find /var/log/myapp -type f -mtime +30 -delete
  fi
done

cron
 ffON2NH02oMAcqyoh2UU MQCbz04ET5EljRmK3YpQ CPXAhl7VTkj2dHDyAYAf” data-copycode=“true” role=“button” aria-label=“Copy Code”>Copy CodeCopied
*/15 * * * * /usr/local/bin/disk-check.sh 85 [email protected] >/dev/null 2>&1 

ini
Copy CodeCopied
[Unit]
Description=Disk space check

[Service]
Type=oneshot
ExecStart=/usr/local/bin/disk-check.sh 85 [email protected]

ini
Copy CodeCopied
[Unit]
Description=Run disk-check every 15 minutes

[Timer]
OnBootSec=5min
OnUnitActiveSec=15min

[Install]
WantedBy=timers.target

bash
 ffON2NH02oMAcqyoh2UU MQCbz04ET5EljRmK3YpQ CPXAhl7VTkj2dHDyAYAf” data-copycode=“true” role=“button” aria-label=“Copy Code”>Copy CodeCopied
# compare used bytes to threshold bytes for mount
avail_bytes=\((</span><span class="token" style="color: rgb(57, 58, 52);">df</span><span class="token" style="color: rgb(54, 172, 170);"> --output</span><span class="token" style="color: rgb(57, 58, 52);">=</span><span class="token" style="color: rgb(54, 172, 170);">avail -B1 </span><span class="token" style="color: rgb(163, 21, 21);">"</span><span class="token" style="color: rgb(163, 21, 21);">\)mount“ | tail -n1)
size_bytes=\((</span><span class="token" style="color: rgb(57, 58, 52);">df</span><span class="token" style="color: rgb(54, 172, 170);"> --output</span><span class="token" style="color: rgb(57, 58, 52);">=</span><span class="token" style="color: rgb(54, 172, 170);">size -B1 </span><span class="token" style="color: rgb(163, 21, 21);">"</span><span class="token" style="color: rgb(163, 21, 21);">\)mount” | tail -n1)
used_bytes=\(((</span><span class="token" style="color: rgb(54, 172, 170);"> size_bytes </span><span class="token" style="color: rgb(57, 58, 52);">-</span><span class="token" style="color: rgb(54, 172, 170);"> avail_bytes </span><span class="token" style="color: rgb(54, 172, 170);">))</span><span> </span><span></span><span class="token assign-left" style="color: rgb(54, 172, 170);">threshold_bytes</span><span class="token" style="color: rgb(57, 58, 52);">=</span><span class="token" style="color: rgb(54, 172, 170);">\)(( size_bytes * THRESHOLD / 100 ))
if (( used_bytes >= threshold_bytes )); then
  # alert
fi