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Best Monitoring Tools deals

Monitoring tools watch your apps and infrastructure — errors, performance, uptime and logs — so you catch problems before users do. Engineering and SRE teams use them to debug incidents, track latency and alert on failures.

20 tools
20Verified deals
78Top score
61Average score

Ranked by SaaSTweaks Score

Every monitoring tools deal we've verified.

Scored on the same six criteria as everything else on the site. Featured placements never move a score.

Hotjar Save 40% on annual plans 78 PostHog Verified founder pricing 73 Grafana Grafana turns sprawling observability data into dashboards you actually want to look at — and the open-source version is hard to beat. 72 Browse AI 15% cashback + 10% off all plans 66 Brand24 AI-powered media monitoring and social listening platform that tracks brand mentions, analyses sentiment, and measures share of voice across the web and social channels. 62 NinjaOne 14-day free trial, no credit card 62 Crazy Egg Free trial available 58 Jamf Apple device management built for enterprise teams 56 Elastic Search, observe, and protect your data with the Elastic Stack 55 Piwik Privacy-first analytics for regulated industries and EU compliance 55 Auvik 14-day free trial, no credit card required 54 Datadog Cloud monitoring and observability platform covering infrastructure metrics, APM distributed tracing, log management, synthetics, and security in one unified platform. 53 Splunk Enterprise platform for searching, monitoring, and analyzing machine data — powering observability, security (SIEM), and IT operations at scale. 48 Arize AI for Startups Free tier + startup credits for Arize AI Datadog for Startups Up to $100K or 1 year free Datadog Pro — Series A or earlier, requires VC/partner referral Datadog for Startups Program Up to 20% off Grafana Labs Startup Program Get up to $100,000 in Grafana Cloud credits for 12 months wi Highlight.io Startup Program Up to $5,000 in Highlight.io platform credits LangChain for Startups Credits and discounted access to LangSmith + LangGraph Langfuse for Startups Credits and discounted plans for early-stage AI startups

How to choose monitoring tools

Monitoring tools watch your apps and infrastructure — errors, performance, uptime and logs — so you catch problems before users do.

Engineering and SRE teams use them to debug incidents, track latency and alert on failures.

Compare on usage-based pricing (events/hosts/logs), data retention, alerting, and how quickly costs scale.

{"intro":"Monitoring tools vary widely in scope, so start by mapping what you actually need to observe: servers, containers, applications, user sessions, or external uptime. The best fit depends on your stack, team size, and how much data you'll generate. Avoid platforms that lock you into a pricing tier before you've measured your real usage.","criteria":[{"title":"Scope of coverage","body":"Infrastructure, APM, log management, and synthetic checks are often separate products. Some platforms bundle them; others require multiple tools that must be integrated and maintained separately."},{"title":"Alerting and integrations","body":"Look for flexible alert routing (Slack, PagerDuty, email), noise reduction features like deduplication and anomaly detection, and native integrations with your stack (Kubernetes, AWS, Azure, CI/CD pipelines)."},{"title":"Pricing model","body":"Vendors price per host, per container, per metric, or per GB of data ingested. Estimate your data volume and retention needs before committing, as costs can scale sharply with growth."}],"pricingReality":"Free tiers exist for basic uptime checks and small hosts. SMB plans typically run $10–$50/month, while enterprise APM and observability platforms often charge $50–$500+ per host per month depending on data volume, features, and retention."}

Monitoring Tools FAQ

What buyers ask before choosing in this category.

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Software that collects metrics, logs, and traces from systems to track performance, availability, and errors. It alerts teams when thresholds are breached and provides dashboards and historical data for analysis.

APM (Application Performance Monitoring) focuses on application code, transactions, dependencies, and user experience. Infrastructure monitoring tracks servers, containers, networks, and underlying resources. Many modern tools combine both.

Traditional setups use separate tools (e.g., Splunk for logs, Prometheus for metrics). Modern observability platforms increasingly unify all three in one product to reduce context-switching and simplify correlation during incidents.