The only agent that thinks for itself

Autonomous Monitoring with self-learning AI built-in, operating independently across your entire stack.

Unlimited Metrics & Logs

Machine learning & MCP

5% CPU, 150MB RAM

3GB disk, >1 year retention

800+ integrations, zero config

Dashboards, alerts out of the box

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Centralized metrics streaming and storage

Aggregate metrics from multiple agents into centralized Parent nodes for unified monitoring across your infrastructure.

Stream from unlimited agents

Long-term data retention

High availability clustering

Data replication & backup

Scalable architecture

Enterprise-grade security

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Fully managed cloud platform

Access your monitoring data from anywhere with our SaaS platform. No infrastructure to manage, automatic updates, and global availability.

Zero infrastructure management

99.9% uptime SLA

Global data centers

Automatic updates & patches

Enterprise SSO & RBAC

SOC2 & ISO certified

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Deploy Netdata Cloud in your infrastructure

Run the full Netdata Cloud platform on-premises for complete data sovereignty and compliance with your security policies.

Complete data sovereignty

Air-gapped deployment

Custom compliance controls

Private network integration

Dedicated support team

Kubernetes & Docker support

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Powerful, intuitive monitoring interface

Modern, responsive UI built for real-time troubleshooting with customizable dashboards and advanced visualization capabilities.

Real-time chart updates

Customizable dashboards

Dark & light themes

Advanced filtering & search

Responsive on all devices

Collaboration features

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Monitor on the go

Native iOS and Android apps bring full monitoring capabilities to your mobile device with real-time alerts and notifications.

iOS & Android apps

Push notifications

Touch-optimized interface

Offline data access

Biometric authentication

Widget support

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The future of infrastructure observability

See our strategic direction across AI-native observability, full-stack signals, operational intelligence, and enterprise platform maturity.

AI-native observability

Full-stack signal coverage

Operational intelligence

Enterprise platform maturity

Agent releases every 6 weeks

Cloud continuous delivery

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Best energy efficiency

True real-time per-second

100% automated zero config

Centralized observability

Multi-year retention

High availability built-in

Zero maintenance

Always up-to-date

Enterprise security

Complete data control

Air-gap ready

Compliance certified

Millisecond responsiveness

Infinite zoom & pan

Works on any device

Native performance

Instant alerts

Monitor anywhere

AI-native observability

Continuous delivery

Open source foundation

80% Faster Incident Resolution

AI-powered troubleshooting from detection, to root cause and blast radius identification, to reporting.

Learn & Detect

Correlate

Understand & Act

Unsupervised ML Anomaly Advisor AI Co-Engineer Anomaly Detection Root Cause Analysis AI Reporting

Blast Radius Detection AI Chat

True Real-Time and Simple, even at Scale

Linearly and infinitely scalable full-stack observability, that can be deployed even mid-crisis.

Automated

Distributed

Scalable

Zero Configuration Distributed Pipeline Real-Time at Scale Algorithmic Dashboards Edge Computing Infinite Scalability Zero Downtime Tiered Retention Extreme Cardinality

90% Cost Reduction, Full Fidelity

Instead of centralizing the data, Netdata distributes the code, eliminating pipelines and complexity.

Metrics

Logs

Alerts

Metrics Management Logs Management Distributed Alerting eBPF Monitoring Zero Pipeline Logs Notifications Tiered Retention OpenTelemetry Mobile Apps

See and Map Your Entire Network

Live topology, flow analytics, and SNMP device and trap monitoring — unified with your full-stack observability.

Topology

Traffic

SNMP

Network Topology Viewer NetFlow Traffic Analyzer SNMP Device Monitoring Network Monitoring Dashboard

SNMP Trap Monitoring

Network Device Auto-Discovery

Single Pane of Glass

Eliminate SSH access for monitoring and troubleshooting systems and applications.

Simple

Powerful

Intelligent

Zero Configuration Troubleshooting AI Co-Engineer Algorithmic Dashboards Live Anomaly Advisor No Query Language Custom Dashboards Root Cause Analysis

Control Without Surrender

SOC 2 Type 2 certified with every metric kept on your infrastructure.

Access

Governance

Operations

Access Control Data Sovereignty Team Collaboration Zero Code Instrumentation Alerts & Notifications Cost Efficiency Zero Downtime

Integrations

800+ collectors and notification channels, auto-discovered and ready out of the box.

800+ data collectors

Auto-discovery & zero config

Cloud, infra, app protocols

Notifications out of the box

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AI Automation

Model Context Protocol

Connect any MCP-compatible AI to your observability data. Automate workflows, playbooks, and incident response.

Deploy Anywhere

Multi-Cloud

AWS, GCP, Azure—unified observability across all providers.

Hybrid Cloud

On-prem and cloud infrastructure in a single view.

Data Sovereignty

Your metrics stay on your infrastructure. Always.

Real Results

46% Cost Reduction

Reduced monitoring costs by 46% while cutting staff overhead by 67%.

— Leonardo Antunez, Codyas

Zero Pipeline

No data shipping. No central storage costs. Query at the edge.

Network, Reimagined

Live Topology

Real-time connection and device maps, built in the agent — no scheduled discovery scans.

One Platform

SNMP, flows, traps, and topology unified with your full-stack observability.

From Our Users

"Out-of-the-Box"

So many out-of-the-box features! I mostly don't have to develop anything.

— Simon Beginn, LANCOM Systems

No Query Language

Point-and-click troubleshooting. No PromQL, no LogQL, no learning curve.

Enterprise Ready

67% Less Staff, 46% Cost Cut

Enterprise efficiency without enterprise complexity—real ROI from day one.

— Leonardo Antunez, Codyas

SOC 2 Type 2 Certified

Zero data egress. Only metadata reaches the cloud. Your metrics stay on your infrastructure.

Full Coverage

800+ Collectors

Auto-discovered and configured. No manual setup required.

Any Notification Channel

Slack, PagerDuty, Teams, email, webhooks—all built-in.

Built for the People Who Get Paged

Because 3am alerts deserve instant answers, not hour-long hunts.

Platform Engineers DevOps SREs Developers SysAdmins CISOs Operations Centers DBAs Network Engineers MSPs Freelancers

Every Industry Has Rules. We Master Them.

See how healthcare, finance, and government teams cut monitoring costs 90% while staying audit-ready.

AI & ML Technology Finance Gaming Robotics EV Charging Healthcare Retail POS & Kiosks Manufacturing Telecom Government Education School Devices

Monitor Any Technology. Configure Nothing.

Install the agent. It already knows your stack.

Kubernetes OpenTelemetry Linux AWS GCP Azure Windows Docker Proxmox VMware Red Hat Hybrid Cloud Hetzner HPC

Complete Visibility. Total Control.

From install to "what broke and why" in under five minutes—no queries, no guesswork.

LLM Monitoring Infrastructure Monitoring Container Monitoring Synthetic Checks Application Performance Database Monitoring Troubleshooting Network Monitoring Web Server Monitoring Systemd Journal Logs Data Centers Windows Event Logs IoT Monitoring Edge & Fleet Monitoring Service Mesh Cloud Monitoring Continuous Operations Unified Observability Azure → Azure Local

Don't Take Our Word for It

From 99% less downtime to 30-second troubleshooting—see how they did it.

Government

Falkland Islands Government

99% less downtime, 30% cloud cost reduction

Transportation

TMB Barcelona

"A rare unicorn that obeys the Pareto rule"

Gaming

Nodecraft

Troubleshooting in 30 seconds, not 3 minutes

Technology

Codyas

46% cost reduction, 67% less monitoring staff

From Our Users

"A Rare Unicorn"

Netdata gives more than you invest in it. A rare unicorn that obeys the Pareto rule.

— Eduard Porquet Mateu, TMB Barcelona

99% Downtime Reduction

Reduced website downtime by 99% and cloud bill by 30% using Netdata alerts.

— Falkland Islands Government

Real Savings

30% Cloud Cost Reduction

Optimized resource allocation based on Netdata alerts cut cloud spending by 30%.

— Falkland Islands Government

46% Cost Cut

Reduced monitoring staff by 67% while cutting operational costs by 46%.

— Codyas

Real Coverage

"Plugin for Everything"

Netdata has agent capacity or a plugin for everything, including Windows and Kubernetes.

— Eduard Porquet Mateu, TMB Barcelona

"Out-of-the-Box"

So many out-of-the-box features! I mostly don't have to develop anything.

— Simon Beginn, LANCOM Systems

Real Speed

Troubleshooting in 30 Seconds

From 2-3 minutes to 30 seconds—instant visibility into any node issue.

— Matthew Artist, Nodecraft

20% Downtime Reduction

20% less downtime and 40% budget optimization from out-of-the-box monitoring.

— Simon Beginn, LANCOM Systems

Pay per Node. Unlimited Everything Else.

One price per node. Unlimited metrics, logs, users, and retention. No per-GB surprises.

Free tier—forever

No metric limits or caps

Retention you control

Cancel anytime

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What's Your Monitoring Really Costing You?

Most teams overpay by 40-60%. Let's find out why.

Expose hidden metric charges

Calculate tool consolidation

Customers report 30-67% savings

Results in under 60 seconds

> See what you're really paying

Your Infrastructure Is Unique. Let's Talk.

Because monitoring 10 nodes is different from monitoring 10,000.

On-prem & air-gapped deployment

Volume pricing & agreements

Architecture review for your scale

Compliance & security support

> Start a conversation

Monitoring That Sells Itself

Deploy in minutes. Impress clients in hours. Earn recurring revenue for years.

30-second live demos close deals

Zero config = zero support burden

Competitive margins & deal protection

Response in 48 hours

> Apply to partner

Per-Second Metrics at Homelab Prices

Same engine, same dashboards, same ML. Just priced for tinkerers.

Community: Free forever · 5 nodes · non-commercial

Homelab: $90/yr · unlimited nodes · fair usage

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Your colleagues get 10% off. You get 10% commission. Everyone wins.

10% of subscriptions, up to $1,000 each

Track earnings inside Netdata Cloud

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Cost Proof

40% Budget Optimization

"Netdata's significant positive impact" — LANCOM Systems

Calculate Your Savings

Compare vs Datadog, Grafana, Dynatrace

Savings Proof

46% Cost Reduction

"Cut costs by 46%, staff by 67%" — Codyas

30% Cloud Bill Savings

"Reduced cloud bill by 30%" — Falkland Islands Gov

Enterprise Proof

"Better Than Combined Alternatives"

"Better observability with Netdata than combining other tools." — TMB Barcelona

Real Engineers, <24h Response

DPA, SLAs, on-prem, volume pricing

Why Partners Win

Demo Live Infrastructure

One command, 30 seconds, real data—no sandbox needed

Zero Tickets, High Margins

Auto-config + per-node pricing = predictable profit

Homelab Ready

Free Video Course

8-episode Netdata tutorial by LearnLinux.tv

76k+ GitHub Stars

3rd most starred monitoring project

Worth Recommending

Product That Delivers

Customers report 40-67% cost cuts, 99% downtime reduction

Zero Risk to Your Rep

Free tier lets them try before they buy

AI Support Assistant, Available 24/7

Nedi has access to all official documentation, source code, and resources. Ask any question about Netdata—responds in your language.

Deployment & configuration

Troubleshooting & sizing

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Evidence-based answers

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Engineering Insights & Product Updates

Deep dives into monitoring, infrastructure, and what's new in Netdata.

Jul 2026

Native macOS Monitoring: Logs, Sensors, …

We’ve overhauled macOS monitoring in …

Jun 2026

Fleet Observability: Linux Edge Device …

It feels less like managing devices and more …

Jun 2026

Real Time Network Monitoring: Topology, …

Interface counters tell you a port is busy. …

Jun 2026

5 Best SolarWinds Alternatives for 2026

As organizations modernize their …

Never Fight Fires Alone

Docs, community, and expert help—pick your path to resolution.

Learn.netdata.cloud docs

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Premium support available

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60 Seconds to First Dashboard

One command to install. Zero config. 850+ integrations documented.

Linux, Windows, K8s, Docker

Auto-discovers your stack

> Read our documentation

Level Up Your Monitoring

Real problems. Real solutions. 112+ guides from basic monitoring to AI observability.

Academy Operations Guides Monitoring 101 Webinars Netdata Tutorial Best Infrastructure Monitoring Tools Best Container Monitoring Tools AI Observability Ebook Case Studies YouTube Channel

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615+ contributors. 1.5M daily downloads. One mission: simplify observability.

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Per-Second. 90% Cheaper. Data Stays Home.

Side-by-side comparisons: costs, real-time granularity, and data sovereignty for every major tool.

See why teams switch from Datadog, Prometheus, Grafana, and more.

> Browse all comparisons

Nedi Can Help With

Paste Logs & Errors

Trace issues directly in the source code

Deploy & Size Parents

Get architecture recommendations

Quick Start

One-Command Install

Copy, paste, monitoring in 60 seconds

850+ Integrations

Every collector documented

Learn Path

112+ Technical Guides

PostgreSQL, NGINX, K8s, and more

AI Observability Ebook

Maturity model and implementation

Built in the Open

Star Us on GitHub

76k+ stars and growing daily

Active Discussions

Engineers helping engineers

Edge-Native Observability, Born Open Source

Per-second visibility, ML on every metric, and data that never leaves your infrastructure.

Founded in 2016

615+ contributors worldwide

Remote-first, engineering-driven

Open source first

> Read our story

Promises We Publish—and Prove

12 principles backed by open code, independent validation, and measurable outcomes.

Open source, peer-reviewed

Zero config, instant value

Data sovereignty by design

Aligned pricing, no surprises

> See all 12 principles

Edge-Native, AI-Ready, 100% Open

76k+ stars. Full ML, AI, and automation—GPLv3+, not premium add-ons.

76,000+ GitHub stars

GPLv3+ licensed forever

ML on every metric, included

Zero vendor lock-in

> Explore our open source

Build Real-Time Observability for the World

Remote-first team shipping per-second monitoring with ML on every metric.

Remote-first, fully distributed

Open source (76k+ stars)

Challenging technical problems

Your code on millions of systems

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Meet the Team Behind Netdata

Conferences, meetups, and tradeshows where you can see Netdata in action and talk to the engineers who build it.

Live demos and deep dives

Book 1-on-1 meetings

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Event recaps and photos

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Talk to a Netdata Human in <24 Hours

Sales, partnerships, press, or professional services—real engineers, fast answers.

Discuss your observability needs

Pricing and volume discounts

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Your Data. Your Rules.

On-prem data, cloud control plane, transparent terms.

Trust & Scale

76,000+ GitHub Stars

One of the most popular open-source monitoring projects

SOC 2 Type 2 Certified

Enterprise-grade security and compliance

Data Sovereignty

Your metrics stay on your infrastructure

Validated

University of Amsterdam

"Most energy-efficient monitoring solution" — ICSOC 2023, peer-reviewed

ADASTEC (Autonomous Driving)

"Doesn't miss alerts—mission-critical trust for safety software"

Community Stats

615+ Contributors

Global community improving monitoring for everyone

1.5M+ Downloads/Day

Trusted by teams worldwide

GPLv3+ Licensed

Free forever, fully open source agent

Why Join?

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Work from anywhere, async-friendly culture

Impact at Scale

Your work helps millions of systems

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AI Reporting Software For Observability Data

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Guides

Guides overview 1 page

Ceph Operations Guides

Practical guides for running, troubleshooting, and monitoring Ceph in production.

Cassandra Operations Guides 4 pages

Open the Cassandra Operations Guides hub

Cassandra compaction death spiral: when writes outrun compaction throughput

Diagnose and recover from Cassandra compaction backlog when write rates exceed compaction throughput, causing SSTable accumulation, read amplification, and disk saturation.

Cassandra compaction strategies: STCS vs LCS vs TWCS vs UCS

Choose and operate the right Cassandra compaction strategy by understanding the I/O, space, and read amplification tradeoffs between STCS, LCS, TWCS, and UCS.

Cassandra disk space exhaustion: emergency recovery when the data volume fills

Emergency runbook for recovering a Cassandra node when disk space is exhausted, compaction stalls, and writes are rejected.

Cassandra Not enough space for compaction: STCS space amplification and recovery

Operational guide to diagnosing and recovering from Cassandra disk space exhaustion caused by STCS compaction space amplification, including per-strategy headroom and emergency remediation.

Ceph Operations Guides 5 pages

Open the Ceph Operations Guides hub

Ceph backfill_toofull: recovery blocked because target OSDs are full

Diagnose and resolve Ceph backfill_toofull PGs where recovery stalls because target OSDs exceed the backfillfull ratio.

Ceph capacity death spiral: an OSD fails and recovery has nowhere to go

An OSD fails on a hot cluster and backfill stalls because surviving OSDs are past the backfillfull ratio. Diagnose BACKFILL_TOOFULL and stalled recovery.

Ceph monitoring checklist: the signals every production cluster needs

Operational reference covering the Prometheus metrics and health checks every production Ceph cluster needs, organized by monitoring maturity level.

Ceph nearfull: the 85% warning that decides whether the cluster can heal

Why OSD_NEARFULL is a recovery-headroom warning, not a cosmetic one, and how to keep one OSD failure from deadlocking self-healing.

Ceph OSD_FULL: all writes stopped at the 95% full ratio

Diagnose and recover from a Ceph OSD_FULL condition where all writes stop at the 95% full ratio, and prevent it from recurring.

ClickHouse Operations Guides 3 pages

Open the ClickHouse Operations Guides hub

ClickHouse disk space collapse: why merges need free space and how the spiral starts

Why ClickHouse background merges need temporary disk headroom and how crossing the 85-90% threshold triggers a self-reinforcing spiral of stalled merges, accumulating parts, and accelerating consumption.

ClickHouse disk space monitoring: free_space, unreserved_space, and the 80% target

Understand ClickHouse disk space as an operational dependency, not just capacity. Interpret system.disks metrics, maintain merge headroom, and avoid the disk space death spiral.

ClickHouse No space left on device: emergency recovery when the data disk fills

Emergency recovery procedures and root-cause analysis for ClickHouse servers that hit disk-full conditions, including safe space reclamation and merge death-spiral prevention.

CockroachDB Operations Guides 5 pages

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CockroachDB compaction backlog growing: when Pebble can't keep pace with writes

Diagnose a growing Pebble compaction backlog in CockroachDB before it triggers write stalls, and learn how to restore balance between write ingestion and compaction throughput.

CockroachDB CPU saturation: Raft ticking, SQL execution, and the per-node ceiling

Diagnose CockroachDB CPU saturation by separating Raft tick overhead, SQL execution, GC pressure, and I/O-bound system time from cluster-wide averages.

CockroachDB store is full: emergency disk recovery and why deletes don't free space

Emergency recovery procedures when CockroachDB stores run out of disk space, and why SQL DELETE operations do not immediately reclaim space.

CockroachDB under-replicated ranges: ranges_underreplicated and the healing margin

Diagnosing CockroachDB under-replicated ranges, understanding the healing margin, and configuring alerting that separates expected recovery from dangerous fault tolerance loss.

How To Fix CockroachDB Admission Control Throttling

Diagnose CockroachDB admission control throttling across its five queues, correlate store-write depth with LSM health, and determine when queuing is protective versus capacity-limiting.

Elasticsearch Operations Guides 3 pages

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Elasticsearch disk watermark cascade: from low watermark to cluster-wide read-only

Operational guide to diagnosing and recovering from the Elasticsearch disk watermark cascade: low, high, and flood stage thresholds, read-only index blocks, and relocation storms.

Elasticsearch high disk watermark [90%] exceeded: shard relocation and the cascade

Diagnose and stop the Elasticsearch disk watermark cascade when shard relocations from high-watermark nodes push targets toward their own limits.

Elasticsearch this action would add too many shards: max_shards_per_node limit

Fix the Elasticsearch validation_exception when cluster.max_shards_per_node is breached. Why raising the limit is wrong and how to consolidate shards.

HAProxy Operations Guides 6 pages

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HAProxy backend losing servers: active server count and cascade risk

How to detect and respond when HAProxy backends lose servers: the act/bck signals, why BACKEND status stays UP, and how to judge cascade risk before the last server fails.

HAProxy backend queue building (qcur): requests waiting for a free server slot

What qcur means in HAProxy stats, why the backend queue grows, how to diagnose it, and how to fix saturation before it turns into 503s.

HAProxy kernel accept-queue overflow: silent SYN drops and somaxconn

Clients time out but HAProxy looks perfectly healthy. How to detect and fix Linux accept-queue overflow (ListenOverflows, ListenDrops, somaxconn) in front of HAProxy.

HAProxy maxconn reached: new connections queued and rejected

Diagnose and fix HAProxy maxconn saturation: CurrConns flat at Maxconn, connections queuing in the kernel backlog, and clients timing out while CPU looks fine.

HAProxy scur approaching slim: the concurrent-session saturation signal

What the HAProxy scur/slim ratio means at the global, frontend, backend, and server levels, how to alert on it, and what to do when concurrent sessions approach the configured limit.

HAProxy Too many open files: file descriptor exhaustion and refused connections

Diagnose and fix HAProxy file descriptor exhaustion: EMFILE on accept, refused connections, ulimit vs maxconn sizing, and reload-related FD leaks.

Kafka Operations Guides 1 page

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Kafka Broker Out Of Disk: How To Fix It

Diagnose and recover when a Kafka broker exhausts disk space on its log directories, including the cliff-edge shutdown behavior, uneven directory fill, and silent compaction failures.

Kubernetes Operations Guides 3 pages

Open the Kubernetes Operations Guides hub

Kubernetes eviction cascade: when one node failure takes down the cluster

Diagnose and stop node-pressure eviction cascades caused by scheduler overplacement, cgroup v2 accounting changes, and missing hysteresis in Kubernetes clusters.

Kubernetes node MemoryPressure: detection, eviction order, and prevention

How kubelet detects node memory pressure, the QoS-based eviction order it follows, and how operators can diagnose and prevent pod eviction cascades.

Kubernetes pod stuck Pending: scheduling failures explained

Diagnose why Kubernetes pods remain Pending due to scheduler constraints, resource exhaustion, affinity rules, taints, and volume binding issues.

MongoDB Operations Guides 2 pages

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MongoDB cache too small: sizing the WiredTiger cache for your working set

Size the WiredTiger cache to fit your working set. Covers default calculations, explicit overrides, container limits, and the signals that warn you before eviction stalls.

MongoDB oplog window too small: sizing the oplog for your write volume

Size and monitor the MongoDB oplog window to prevent secondaries from falling off and forcing full resyncs. Production rules, resize commands, and thresholds.

MySQL Operations Guides 6 pages

Open the MySQL Operations Guides hub

MySQL Binary Log Disk Full: How To Fix It

Diagnose and fix MySQL binary log disk exhaustion caused by missing expiry, lagging replicas, or oversized transactions. Safe manual purge procedures and prevention.

MySQL InnoDB buffer pool hit ratio collapse: the cliff edge

Diagnose and fix InnoDB buffer pool hit ratio collapse when the working set exceeds memory, causing non-linear query degradation and cascading connection pressure.

MySQL InnoDB checkpoint age: the redo log capacity signal nobody watches

How to monitor InnoDB checkpoint age in MySQL 8.0+, understand the redo log capacity cliff edge, and avoid the write stalls that take production down.

MySQL InnoDB redo log checkpoint stall: when all writes freeze

Diagnose and fix InnoDB redo log checkpoint stalls that synchronously freeze all MySQL writes when checkpoint age exceeds redo capacity.

MySQL innodb_buffer_pool_size tuning: 60-80% of RAM and when that breaks

Operational guide to sizing MySQL's InnoDB buffer pool, the 60-80% RAM heuristic, alignment constraints, and the container and memory gotchas that make it fail.

MySQL innodb_redo_log_capacity sizing: how big should the redo log be

Size the MySQL InnoDB redo log to avoid checkpoint stalls. Covers 8.0.30+ dynamic capacity, headroom calculations, and flush tuning.

NGINX Operations Guides 4 pages

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NGINX Connection Exhaustion: Detection, Diagnosis & Prevention

Detect, diagnose, and prevent NGINX connection exhaustion before it causes cliff-edge timeouts. Covers worker_connections limits, kernel accept queues, keepalive pileup, and upstream slowdown.

NGINX Monitoring Checklist: The Signals Every Production Server Needs

A four-level monitoring maturity model for NGINX covering survival, operational, mature, and expert signals every production server needs.

NGINX worker_connections & worker_processes: Sizing For Real Traffic

How to size NGINX worker_processes and worker_connections for production traffic, including the reverse-proxy multiplier, FD chain, and headroom rules.

Nginx: Too Many Open Files - Diagnosing File Descriptor Exhaustion

Diagnose nginx file descriptor exhaustion when accept4 fails with EMFILE, connections drop silently, and error logging stops.

PostgreSQL Operations Guides 1 page

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PostgreSQL Monitoring Checklist: The Signals Every Production Database Needs

A staged monitoring checklist that maps the essential PostgreSQL signals, metrics, and thresholds to operational maturity levels, from basic health to predictive operations.

Redis Operations Guides 3 pages

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Redis connection exhaustion: leaks, pools, and the retry storm

Diagnose and fix Redis connection exhaustion, from pool misconfiguration and client leaks to retry storms that amplify the outage.

Redis maxmemory not set: why every production instance needs a memory limit

Running Redis without maxmemory is the most common production misconfiguration. Learn how to size it, pair it with an eviction policy, and avoid OOM kills.

Redis OOM-killed by the kernel: RSS, overcommit, and recovery

Why Redis dies to the kernel OOM killer even when used_memory looks healthy, how to diagnose RSS bloat from fragmentation and COW, and how to recover.

VMware vSphere Operations Guides 5 pages

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vCenter /storage/seat full: stats, events, alarms, and tasks outgrowing their partition

Diagnose and recover from a full vCenter Server Appliance /storage/seat partition, where vPostgres SEAT tables stall vpxd and take down DRS and HA management.

vSphere active vs consumed vs granted memory: why the percentage lies

Why a single vSphere host memory percentage is meaningless, and how to read active, consumed, granted, and the reclamation signals instead.

vSphere datastore full: 'No space left on device', paused VMs, and power-on failures

Recover from a full vSphere datastore: diagnose paused VMs, .vswp power-on failures, and 'No space left on device' errors, and find the snapshot or thin VMDK consuming the space.

vSphere HA 'Insufficient resources to satisfy configured failover level': admission control

Why vSphere HA blocks power-ons and vMotions with the failover level error, how admission control policies work, and how to fix it without losing the restart guarantee.