No more manual toil: automatic inspection and diagnosis
Nightwatch is your digital operations engineer. AI agents take over routine monitoring, inspections, releases and troubleshooting, unattended around the clock. You make the key decisions; Nightwatch does the rest.
Alert storms, night-time firefighting, repetitive inspections, troubleshooting by memory, risky releases and endless reporting — the six core pains of traditional operations, and how Nightwatch solves them.
The alerting platform floods all day and seven in ten alerts are false. You get up in the middle of the night to check each one, only to find nothing — while real incidents drown in the noise and take far longer to fix.
A call at 3 a.m., a night spent digging through logs and metrics, the root cause found at dawn — and a normal working day ahead. Always on standby, judgment and efficiency suffer, and haste breeds mistakes.
Two hours a day spent staring at dashboards, logs and disks. And manual inspections can only happen so often — problems break out between rounds.
Senior engineers' troubleshooting know-how lives in their heads and leaves when they do. Newcomers start from scratch and fall into the same holes; team knowledge never builds up.
Every release is nerve-racking: back up, roll out gradually, watch metrics for hours, roll back overnight if something breaks. All the risk sits with the person on call, and one wrong move can cause a major outage.
Weekly and monthly reports, post-mortems and security reports written late into the night, with data compiled by hand and definitions that never quite match.
From the asset inventory to the post-mortem, across the whole operations lifecycle. The system moves each step forward; you decide only at the key points.
All infrastructure under management
Finding risks 24/7
Diagnosis within 30 seconds
Root cause from correlated signals
Safe actions close the loop
Gradual rollout, automatic rollback
Written and sent automatically
From monitoring and inspection to vulnerability management and reporting, AI is involved at every step.
Replaces the manual morning check, automatically inspecting resources, applications, logs, middleware and business flows to catch problems early.
Diagnosis starts within 30 seconds of an alert, correlating signals to find the root cause; safe actions run automatically, risky ones go to a person for approval.
Automatic pre-release checks, gradual rollout and post-release verification, with automatic rollback if anything goes wrong.
"Restart Nginx on the web cluster." "Show the top 10 disks by usage." One sentence and it's done — no commands to remember.
Servers, containers, services and network resources under one roof, with automatic discovery and reconciliation so records match reality.
Forecasts resource levels from historical trends and warns of overload early — from firefighting to prevention.
Automatic triage of security alerts, key expiry reminders and rotation, and regular baseline checks, so attacks and risks are visible and can be dealt with.
Vulnerabilities go from scan results to a closed loop: found, assessed, remediation planned, approved and executed, then retested.
Inspection reports, post-mortems and weekly or monthly reports in one click, with chart-based versions for leadership and customers.
Runbooks stored in structured form, troubleshooting experience captured as a team asset and retrieved automatically during incidents — it doesn't leave when people do.
Conversational ops in WeCom, DingTalk, Feishu and Slack, with incident alerts and approvals wherever you are — operate where you work.
RBAC permissions, platform configuration, every operation logged for 180 days and complete, exportable approval chains to meet compliance requirements.
Four core principles run through every module: read-only by default to minimize production impact; safe actions close the loop automatically; risky actions require human confirmation (human-in-the-loop); and everything is logged, traceable and reversible. No feature trades safety for speed.
From unattended inspections to night-time self-healing, from one-sentence ops to instant reports.
Inspects every core system and sends the report before 9:00, with anomalies flagged in red so risks are caught early.
An alert triggers an agent: automatic diagnosis → safe self-healing → a note to the on-call group, with no one involved.
"Restart Nginx on the web cluster." "Show the top 10 disks by usage." Executed straight away, with results shown in real time.
Pre-release checks → gradual rollout → post-release verification, with a 15–30 minute watch period and automatic rollback.
A critical vulnerability found in a scan is assessed for impact automatically, a fix is planned, executed after approval and retested — escalated automatically if it runs late.
Weekly and monthly reports, post-mortems and security reports in one click, with charts, consistent definitions and automatic delivery.
Routine tasks use low-cost models; hard incidents switch to stronger reasoning models. Multiple models race and back each other up for low latency and high availability. Domestic models by default, with full on-premises deployment.
Day-to-day inspection, diagnosis and reporting.
Backs up DeepSeek, racing and failing over by task.
Complex incidents switch to a stronger reasoning model automatically.
The model layer is pluggable, including models you deploy privately.
Manage content for websites, apps, IPTV and OTT from one platform — edit once, publish to every screen.
One repository for video, audio, text, images and specialist data, with transcoding, editing, watermarking, subtitles and multi-channel output.
Visually schedule TV, online and ad-hoc live channels, with multiple stream formats in and out for web, IPTV and mobile.
Build media apps with low-code and ship to multiple platforms quickly, with live, on-demand, news, UGC and interactive features.
Records live signals continuously so clips can be cut and published about a minute after airing, with frame-accurate editing in the cloud.
Cloud live streaming, on-demand, paid content and interaction for major events and corporate training, with no infrastructure to run.
Drag-and-drop interfaces and workflows so managers, developers and business staff can build business apps quickly, with data shared across systems.
Unified sign-in and user management, interactions pooled from WeChat and Weibo, plus voting, comments, favorites and cross-screen features.
Tracks user behavior across websites, video, apps and WeChat, supporting user profiles, personalized recommendations and targeted outreach.
Collects third-party articles, video and specialist data by rule, maps it into your repository, and monitors every collection job.
One entry point for users and permissions across business systems, with full logging, health monitoring, security and unified upgrades.