Best of Monitoring — August 2025

  1. 1
    Article
    Avatar of programmingdigestProgramming Digest·39w

    How to Keep Services Running During Failures?

    Graceful degradation is a design principle that allows systems to maintain essential functionality during failures by operating at reduced capacity rather than crashing completely. Key strategies include rate limiting to control traffic, request coalescing to reduce duplicate queries, load shedding to prioritize critical requests, retry mechanisms with jitter to prevent thundering herd problems, circuit breakers to isolate failing services, request timeouts to prevent resource exhaustion, and comprehensive monitoring with alerting for proactive issue detection.

  2. 2
    Article
    Avatar of microservicesioMicroservices.io·42w

    Microservices rules #9: Develop observable services

    Part of a comprehensive microservices rules series, this installment focuses on developing observable services as a critical architectural principle. Observability enables fast flow in microservices environments by providing visibility into system behavior, performance, and issues. The rule emphasizes the importance of designing services with built-in observability capabilities from the ground up, rather than adding monitoring as an afterthought.

  3. 3
    Article
    Avatar of hnHacker News·41w

    Talk to Your AI Agents from Anywhere!

    Omnara is an open-source platform that provides real-time monitoring and control for AI agents like Claude Code and GitHub Copilot. It offers mobile and web dashboards for tracking agent activities, receiving notifications when input is needed, and responding to agent questions remotely. The platform supports both monitoring existing agent sessions and launching agents remotely via a Python SDK, REST API, or CLI commands. Built with FastAPI backend and React/React Native frontends, it uses PostgreSQL for data storage and implements the Model Context Protocol for agent communication.

  4. 4
    Article
    Avatar of decuberssDecube·39w

    Announcing Monitors API: Programmatic Monitoring & Alerts

    Decube has released a new Monitors API that enables programmatic management of data monitors and alerts. The API provides endpoints to search, inspect, control, and trigger monitors on-demand, allowing teams to integrate monitoring into CI/CD pipelines, orchestration workflows, and automated responses. Key features include monitor discovery, configuration retrieval, historical data access, enable/disable functionality, and on-demand triggering. Use cases range from triggering monitors after upstream data changes to temporarily pausing scheduled monitors during maintenance windows.

  5. 5
    Article
    Avatar of grafanaGrafana Labs·39w

    Optimize application performance at the network layer: introducing HTTP Performance Insights in Frontend Observability

    Grafana Cloud Frontend Observability introduces HTTP Performance Insights, a new feature that helps frontend engineers monitor HTTP requests and identify performance bottlenecks in real time. The tool provides comprehensive dashboards with health indicators, error tracking, and drill-down capabilities for specific endpoints. It automatically analyzes existing HTTP request data without requiring additional instrumentation, offering actionable insights to optimize application performance at the network layer. Future enhancements will include Page Performance Insights, Resource Loading Intelligence, and Integrated User Experience Views.

  6. 6
    Article
    Avatar of phProduct Hunt·38w

    Oh Dear!: Oh Dear! monitors your entire website,not just the homepage.

    Oh Dear! is a comprehensive website monitoring service that goes beyond basic homepage checks to monitor entire websites. It offers features like multi-location monitoring, broken link detection, mixed content detection, and advanced SSL certificate reporting to help maintain website health and performance.

  7. 7
    Article
    Avatar of hnHacker News·39w

    sping Documentation

    Sping is a modern terminal-based HTTP/TCP latency monitoring tool that provides real-time visualization with interactive charts, outlier detection using Median Absolute Deviation analysis, and comprehensive phase timing breakdowns. It supports HTTP, HTTPS, and TCP protocols with features like customizable color palettes, authentication, threshold alerts, and multiple output formats including JSON for automation. The tool offers detailed connection phase analysis (DNS, connect, TLS, request, response) and includes advanced monitoring capabilities with percentile statistics and export functionality.

  8. 8
    Article
    Avatar of svelteSvelte Blog·40w

    Introducing integrated observability in SvelteKit

    SvelteKit now includes built-in OpenTelemetry tracing support and a dedicated instrumentation.server.ts file for setting up observability monitoring. The framework can emit traces for handle hooks, load functions, form actions, and remote functions, with spans including request attributes and context information. The instrumentation file ensures monitoring tools are loaded before application code, with support across all official SvelteKit adapters that have server components.

  9. 9
    Article
    Avatar of spaceliftSpacelift·42w

    Kubernetes Observability: Pillars, Tools & Best Practices

    Kubernetes observability involves collecting metrics, logs, and traces to understand cluster internal state and performance. The three pillars include metrics for quantitative data, logs for timestamped events, and traces for request paths through microservices. Key tools include Metrics-Server for basic monitoring, Kube-Prometheus-Stack for comprehensive metrics and visualization, ELK stack for log management, and OpenTelemetry for distributed tracing. Implementation challenges include managing multiple data types, monitoring dynamic resources, handling large data volumes, and preventing data silos. Best practices emphasize setting up alerts, consistent resource labeling, application instrumentation, selective data collection, and compliance alignment.

See all Monitoring archives