A flight recorder for production code, Parca profiles CPU and memory continuously and keeps the history to query after something breaks. A slow memory leak or a momentary CPU spike is already on record by the time anyone looks. Point it at any service that exposes pprof endpoints, or deploy the eBPF-based Parca Agent to profile every process on a Linux host or Kubernetes node without touching application code. The agent covers C, C++, Rust, Go, and more. In the web UI, pick a profile type such as on-CPU, narrow it with Prometheus-style label selectors, sum or group by any label, and click a point on the time series to open its flame graph. Switch the same query to a table, add extra panels, or try the alpha Flame Chart and Sandwich views. After a deploy, open the Compare page, set two queries side by side by label or time range, and the functions that gained or lost CPU time stand out as a diff. Native binaries are symbolized from uploaded debuginfo or upstream debuginfod servers. Recent releases add support for OpenTelemetry eBPF profiler profiles and GPU profile types. Optional persistence keeps history across restarts, and a Prometheus-style scrape configuration with service discovery decides what gets profiled. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Continuous infrastructure monitoring meets automated SSL expiration tracking in Kuvasz, a self-hosted uptime platform that alerts DevOps teams before outages disrupt production operations. Operators can configure granular health checks across HTTP endpoints, ICMP ping targets, and raw TCP ports with custom polling intervals down to seconds. Automated SSL inspectors track certificate validity, issuing early warning notices before cryptographic chains expire and disrupt production traffic. A push monitoring system receives incoming heartbeat signals from background cron jobs, database backups, and recurring automation scripts, triggering alerts whenever expected pings fail to arrive on schedule. Multi-channel dispatchers route incident notifications through Slack, Discord, Telegram, Microsoft Teams, PagerDuty, and custom webhook payloads with adjustable failure count thresholds to eliminate transient false alarms. Maintenance windows let teams schedule planned downtime through one-off intervals or recurring cron expressions, automatically muting notifications during deployment cycles. Public and private status pages publish categorized system health metrics, historical latency charts, and incident timelines to keep internal stakeholders and end users informed. An integrated Model Context Protocol server allows AI assistants to query monitoring states and toggle checks directly via conversational interfaces. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Instead of scattering provider credentials and vendor-specific SDK logic across dozens of microservices, engineering teams route every LLM call through GoModel, an open-source AI gateway that unifies 34 model providers behind OpenAI-compatible and Anthropic-compatible endpoints. Pointing existing OpenAI or Anthropic SDKs at the gateway unlocks chat completions, the Responses API, Anthropic Messages, embeddings, batch jobs, and realtime audio across OpenAI, Anthropic, Gemini, Bedrock, Azure, Groq, DeepSeek, Ollama, and vLLM. Platform operators publish virtual model aliases that distribute traffic via weighted round-robin or lowest-cost routing while rotating multiple API keys per provider and failing over through circuit breakers during upstream outages. Sticky session routing keeps multi-turn agent conversations on the same target to preserve warm prompt caches, while exact-match and vector semantic caching via Qdrant, pgvector, Pinecone, or Weaviate cut duplicate token costs. Versioned workflows and pre-dispatch guardrails enforce prompt injection rules, rate limits, and hard USD spend budgets across hierarchical tenant user paths before requests are dispatched. The built-in admin dashboard offers live audit logs, per-tenant cost analytics, LiteLLM key migration, an interactive request playground, Model Context Protocol tool aggregation, and OpenTelemetry and Prometheus metrics. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Software developers running Claude Code, Cursor, Codex, and Aider use AgentsView to trace token expenditures, search full session transcripts, and analyze multi-agent concurrency timelines. Engineers can search through historical developer sessions to locate specific code modifications, prompt chains, or debugging rationales across extensive programming workflows. The real-time activity timeline visualizes concurrent agent operations, revealing peak execution windows, task run durations, and automated tool invocations. The usage analytics engine calculates financial costs and token volumes per model by applying live pricing tables while accounting for prompt caching read discounts. Developers inspect granular turn-by-turn session transcripts complete with raw model payloads, file difference diffs, executed shell commands, and syntax errors. The recall browser extracts key technical context from past programming sessions, organizing facts into an indexed reference knowledge corpus for reuse across future project tasks. Administrators can replicate SQLite session tables into DuckDB analytics files or PostgreSQL warehouses to query longitudinal metrics using SQL analytical tools or custom reporting scripts. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Holding internet service providers accountable for promised bandwidth requires continuous, automated measurement, and MySpeed turns any server into an always-on connection performance analyzer that tracks download speeds, upload throughput, ping latency, and jitter around the clock. Instead of running manual browser tests only when video calls stutter, you can schedule recurring speed checks using custom Cron expressions and switch freely between Ookla, LibreSpeed, and Cloudflare testing servers to verify routing performance across different upstream networks. Interactive statistics views render gradient speed timelines, ping and jitter graphs, hourly performance breakdowns that expose peak-hour congestion, and standard deviation consistency charts, using smart 300-bucket downsampling so multi-month histories load instantaneously. Failed tests are flagged with visual markers on the timeline, while built-in health checks dispatch instant alerts to Discord, Telegram, Signal, WhatsApp, Gotify, email, or custom webhooks whenever bandwidth drops below your target thresholds or outages occur. Administrators can link multiple remote MySpeed instances into a single dashboard to compare bandwidth across branch offices, pause scheduled runs during heavy file transfers, export historical logs, and scrape real-time telemetry into Prometheus and Grafana. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Production debugging slows to a crawl when logs, distributed traces, metrics, and session replays live in four disconnected dashboards, which is why Traceway consolidates every OpenTelemetry signal into a single self-hosted observability platform. Point any standard OTLP exporter directly at the ingestion endpoints without maintaining an intermediary collector or installing proprietary vendor SDKs. When an unhandled exception fires in production, automatic SHA-256 stack trace fingerprinting groups duplicates into prioritized issues complete with source-mapped frames and attached browser or Flutter session replays showing exact user clicks before the crash. Clicking any structured log entry jumps straight to its corresponding distributed span waterfall so engineers can trace slow database queries or failing downstream HTTP calls across microservices. Route performance bottlenecks surface immediately through per-endpoint P50, P95, and P99 latency percentiles ranked by Apdex and a five-factor impact score. Teams shipping AI features can also inspect LLM token consumption, model costs, tool calls, and multi-turn conversations grouped by customer identifier. Built-in on-call rotation schedules, escalation policies, and multi-channel alerts via Slack, Telegram, Pushover, email, and webhooks ensure incidents reach the right responder with one-click acknowledgment links. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

When an AI agent breaks in production, Tracely freezes that exact run into a replayable regression test and blocks the pull request that would ship the bug again. Span soup hides the failure. OTLP/HTTP traces group into conversation threads, and a waterfall marks the failing span in red with its input and output. Nobody knows if an answer was good. Evaluators sit as columns on the trace table, mixing model-free checks with LLM judges at conversation, run, or span level. Thirty-one broken runs, one issue. Clustering turns them into a single counted issue and can suggest the evaluator that would have caught it. A fix nobody can prove. One click promotes a failing trace into a hermetic case with recorded fixtures and a fail-to-pass contract, and scenarios send a red-team model after an adversarial goal. Model bills on every CI run. The suite replays offline with no API keys and no model spend, and tracely gate posts a commit status, comments on the pull request, and blocks regressions. No warning when it breaks again. Alert flows drawn on a canvas react to failed gates, broken conversations, unseen failure modes, or rising failure rates by messaging Slack, sending email, calling a webhook, or prompting an LLM. Coding agents can read traces and write evaluators through an MCP endpoint. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Instead of running an Elasticsearch or Loki cluster, VictoriaLogs stores and searches your logs from a single zero-config server. Ship from Filebeat, Fluent Bit, Fluentd, Logstash, Vector, Promtail, Telegraf, the OpenTelemetry Collector, or the Datadog Agent. Syslog, journald, and Splunk endpoints work too. Query with LogsQL: word, phrase, and prefix filters combine with pipes that extract fields from raw lines and compute stats, top values, and facets. See results as a table, grouped by stream, as raw JSON, or as a live tail. Chart them in Grafana, or work from a terminal with vlogscli and pipe output into grep, less, or jq. Events with hundreds of fields are supported. So are high-cardinality fields like trace_id and user_id. Late, out-of-order backfills are accepted. During an incident, stream_context pulls the lines around any match. Tenants are keyed by AccountID and ProjectID headers. vmalert evaluates LogsQL queries as alerting and recording rules. CEF messages sent over Syslog are parsed automatically for SIEM work. Retention defaults to 7 days and can be capped by disk space. Per-day partitions snapshot and copy out with rsync or rclone. Cluster mode splits ingestion, querying, and storage across nodes for logs that outgrow one server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

When a power outage hits your server rack, deciphering raw command-line output from Network UPS Tools should not stand between you and a safe shutdown; PeaNUT wraps your NUT servers in a real-time web dashboard that monitors battery charge, load capacity, and voltage telemetry across every uninterruptible power supply on your network. Operators can connect multiple local or remote NUT servers into a single interface and switch between devices with one click. Live gauges track battery percentage, estimated runtime, real power draw in watts, and apparent power in volt-amperes. Interactive line charts plot input and output voltage alongside load fluctuations over time. Need to test a battery or silence an alarm? You can execute instant UPS hardware commands, edit writable device variables, or open a browser-based terminal directly to the underlying NUT daemon without leaving the web interface. Configuration works either through the visual settings panel or a declarative YAML file, protected by built-in account authentication. For broader infrastructure observability, you can stream time-series power data to InfluxDB v2, scrape the native Prometheus metrics endpoint into Grafana, query the REST and WebSocket APIs, or embed live UPS status cards inside Homepage and Glance dashboards. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

When an alert fires on any of your Prometheus Alertmanagers, Karma shows it once, on one filterable dashboard, and lets you acknowledge or silence it from there. Identical alerts from different servers merge into one entry tagged with every server that saw it, HA pairs included. Groups follow the group_by settings of your Alertmanager routes, and shared labels and annotations collapse into a footer. Multi-grid mode gives each value of a label, or each Alertmanager, cluster, or receiver, its own grid, keeping production and staging apart. Configurable label colors make hosts and severities easy to spot. Optional history draws 24 hourly blocks per group from the Prometheus servers that fired it, and an inhibited alert's muted button lists whatever is suppressing it. One click acknowledges an alert with a short-lived silence, and the separate kthxbye daemon can keep extending it until the alert resolves. The silence modal creates, edits, and expires silences, and ticket IDs in comments can become links. A Dead Man's Switch check raises a visible error when the alerting pipeline goes quiet. Basic auth or a proxy's header identifies each user, silence ACLs stop one team from silencing another's alerts, and read-only mode disables silence management. Default filters open the view your team triages first, and light and dark themes follow the browser. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Pinpoint distributed system bottlenecks across polyglot microservices using Uptrace, an open telemetry monitoring platform that correlates traces, metrics, and logs inside a unified diagnostic dashboard. Engineers can track end-to-end request flows across polyglot microservices, inspecting database queries, third-party API calls, and internal function calls with sub-millisecond precision. The platform automatically aggregates spans into high-level latency percentiles, highlighting p50, p90, and p99 bottlenecks while calculating baseline error rates across production deployments. Integrated log correlation links log entries directly to parent trace spans, eliminating the friction of manual search across separate monitoring tools during active outages. You can construct custom dashboard views using a visual query builder, monitor cluster nodes, and map out upstream and downstream service dependencies with interactive topological graphs. Automated alerting channels notify on-call teams via Slack, Telegram, webhooks, or email whenever error budgets or metric thresholds trigger an incident. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.