If you take your eye off the ball, you can end up spending more time on log management than on shipping features and keeping customers happy. When solving incidents starts losing out to nursing logs, it’s time to look for a better solution.

This guide is for anyone eyeing alternatives to the log management tools open-source communities built first. We’ll walk you through the top options available in 2026, show how open-source log management tools compare to commercial options, and highlight where log management open-source tools still make sense. Along the way, we’ll talk about features, technical capabilities, total cost of ownership, scalability, integrations, AI strengths, ease of use, and support so you can match your tool choices to your real-world needs.

Comparison Table: Alternatives to Open-Source Log Management

Product Best Fit Pricing Plan G2 Rating* Key Features Compelling Use Case
SolarWinds® Observability Best for hybrid full-stack Usage-based subscription
Free trial available		 4.3/5 Unified logs, metrics, and traces
AIOps-driven insights
Hybrid and multi-cloud friendly
Log search with fast pivots		 Hybrid teams correlating logs, metrics, and traces
Splunk Best for regulated enterprises Quote-based
Free trial and limited free tier		 4.3/5 Deep search language
Rich app ecosystem
Range of security and observability options
Flexible deployment models		 Regulated enterprises needing heavyweight log analytics
Datadog Best for cloud native teams Usage based

Free trial available		 4.4/5 Unified cloud observability
Hundreds of integrations
Security on top of telemetry
Rich dashboards and alerts		 Cloud-native teams unifying infrastructure, application performance monitoring (APM), and logs
New Relic Best for easy ramp-up Usage based
Free tier		 4.4/5 All telemetry in one place
Integrated logs and APM
Many quick-start integrations
AI-assisted insights		 Teams starting free and scaling observability gradually
Dynatrace Best for AI-heavy ops Usage based
Time-limited free trial		 4.5/5 Single agent
AI-driven root cause hints
Strong Kubernetes coverage
Hybrid and mainframe ready		 Large estates requiring automated AI-driven troubleshooting
Sumo Logic Best for cloud security logs Tiered software as a service (SaaS) pricing
Free trial available		 4.4/5 Cloud-native log analytics
Security analytics and tools
Strong Amazon Web Services (AWS) content packs
Credit-based usage model		 Cloud shops combining operational and security logging
CrowdStrike Falcon LogScale Best for security operations-focused teams Quote-based
Trials available		 N/A High-speed compressed storage
Tight Falcon integration
Massive-scale real-time search
Flexible log shipping options		 CrowdStrike customers scaling security-focused log analytics
Coralogix Best for budget-conscious logging Data-tiered pricing
Free trial available		 4.6/5 In-stream log analytics
Cost optimizer tool for hot and cold data
Full-stack observability options
Compliance-friendly retention		 High-volume environments slashing log storage spend
Devo Best for modern Security Information and Event Management (SIEM) Quote based

Trials available		 4.3/5 Cloud-native SIEM focus
Fast query engine
Threat-hunting workflows
Advanced security features		 Security-led organizations needing fast, modern SIEM-style analytics
Mezmo (LogDNA) Best for telemetry pipelines Data-tiered pricing
Free trials		 4.6/5 Telemetry-based pipeline plus analytics
Powerful routing and redaction
Developer-friendly experience
Kubernetes-ready collection		 Engineers shaping and routing telemetry with precision
LogicMonitor Best for infra-heavy estates Usage-based pricing for logs

Free trial		 4.5/5 Deep infrastructure monitoring
Log insight beside metrics
Multi-cloud visibility
Service-centric dashboards		 Infrastructure-centric teams adding log context to monitoring
Amazon CloudWatch Logs Best for AWS-centric shops AWS free tier, then usage based 4.3/5 Native AWS integration
Metrics, logs, dashboards, alarms
Streaming log tailing
Ties into AWS analytics		 Teams that are all-in on AWS and wanting native logging and monitoring
Azure Monitor (Log Analytics) Best for Azure first organizations Usage-based pricing with a free tier
Free trial		 4.3/5 Central store for Azure logs
Kusto query engine
Sentinel integration
Hybrid monitoring options		 Azure-centric teams standardizing on platform logging

*As of January 2026

Top 13 Alternatives in Detail

1. SolarWinds Observability

SolarWinds Observability is a full-stack observability solution built on the SolarWinds Platform, designed to connect metrics, traces, logs, network data, database performance, and user experience in one place. It builds on ideas from Loggly®, AppOptics™, and SolarWinds Papertrail™, so you get powerful log management without juggling separate tools for APM, uptime, and tailing. Instead of flipping between systems, you follow the story across your stack: front end, services, infrastructure, and logs all in a single view, which is the whole point of the unified platform.

Core Features

Unified telemetry

SolarWinds Observability pulls in logs, metrics, traces, database calls, and user experience data, then lines them up in context. You move from a spike in latency to the services involved, the underlying nodes, and the exact log messages that started misbehaving, without needing three different browser tabs or half a dozen bookmarks.

Centralized log management

On the logging side, SolarWinds Observability behaves like a centralized, multi-source log hub. It ingests logs from apps, servers, containers, network devices, and cloud services into a single searchable store, so you can finally escape the deeply unreliable “SSH into the box and hope the log is still there” recovery strategy.

Fast, flexible search

Search feels closer to answering a question than learning a whole new query language. You can filter by fields, time ranges, tags, and patterns, see event volumes and facets, and slice noisy periods. That makes it feasible to search across days of log data without having to scroll forever or hammer your laptop’s CPU.

Dashboards and explorers

Out-of-the-box dashboards cover common stacks, and entity explorers give you focused views for services, hosts, databases, and more. You can pivot from entity metric views into related traces and logs with simple, in-context navigation instead of hunting through separate dashboards. This helps you avoid the repetitive strain of opening a dashboard, copying the hostname, pasting it into the log tool, searching, and repeating the process every time an alert fires.

Alerting and notifications

Alerts can be triggered by metrics, logs, traces, and synthetic checks. You define simple thresholds or more advanced conditions and connect them to email, chat, or service management tools. Composite alerts let you define combined triggers to help save your team from alert fatigue.

Hybrid and multi-cloud friendly

Plenty of organizations run a mix of on-prem and public or multi-cloud environments. SolarWinds Observability is designed for that reality, keeping on-prem, private cloud, and public cloud under one observability roof. Legacy Windows servers and shiny Kubernetes clusters both show up (with KVM coming soon), instead of forcing separate monitoring stacks for “old” and “new.”

Advanced Capabilities

Log pattern analysis

Log pattern summaries cluster similar lines and highlight what is normal and what appeared when the trouble began. You can spot a brand-new error signature in seconds and see how frequently it appears, instead of combing through thousands of messages by hand.

OpenTelemetry friendly

SolarWinds Observability supports OpenTelemetry-based ingestion, so you can plug in existing instrumented code or standard collectors where it makes sense. You’re not forced into a single agent for every scenario, and you can reuse open-source instrumentation you’ve already rolled out.

Generative AI support

Newer features use generative AI across SolarWinds Observability SaaS to summarize incidents and highlight noisy or unusual patterns across logs, metrics, and traces. You’re still in charge, but when you need a quick and straightforward summary for a status page or post-incident review, AI can help draft it based on the full picture, not just isolated log lines.

AIOps insights

AIOps features group-related alerts, reduces noise, and highlights likely root causes. During an incident, you see a smaller set of correlated problems instead of an avalanche of independent alerts, making it easier to focus on the problem component, not the symptoms scattered across 10 services.

Key Use Cases

Multi-tier outage triage

When a front end starts timing out and alerts go off, everyone ends up locked on a call, especially when it’s nearly time to go home. With SolarWinds Observability, you trace the path from synthetic checks to application traces, then down into infrastructure metrics and logs. You find the noisy database node, the deployment that caused the problem, or the saturated queue way faster than chasing down every rabbit hole your multiple tools suggest.

Microservices and Kubernetes debugging

For microservices, SolarWinds Observability connects per-pod logs, container metrics, service traces, and cluster health data. You can see how a misconfigured deployment ripples across upstream and downstream services, and you can jump into specific pods or nodes when you need to get surgical about troubleshooting and remediation.

Performance and cost tuning

Because logs sit next to metrics and database performance data, you can hunt noisy workloads, chatty logging, and slow queries in a single place. That makes it much easier to dial back log verbosity, adjust retention, or optimize code paths that generate too much noise and cost.

Support

SolarWinds backs the platform with documentation, guided onboarding, and support from teams who’ve lived and breathed network, infrastructure, and application monitoring for years. You also get access to a large community of users, knowledge base content, and lessons baked in from Loggly, AppOptics, and SolarWinds Papertrail days.

Long story short, you won’t be on your own when you hit problems. With SolarWinds, you’ll have access to support professionals and a whole community of peers whose day job is solving logging, monitoring, and observability problems.

Pricing

SolarWinds Observability uses modular, usage-aware pricing. You can start with log observability, then layer in metrics, database, network, or digital experience monitoring when the time is right. There’s a free trial with full functionality, so you can stream in real workloads, run a proof of concept, and get a feel for performance and workflows before you commit. For the latest details, check the pricing page.

Try it for yourself

Want to see how SolarWinds Observability stacks up against your current open-source log setup? Do not guess. Run them side by side:

Point some services at it, run through a few releases, and watch what happens when something breaks—the experience will tell you more than any webinar will.

2. Splunk

Splunk is a big name in log analytics and machine data. It started as a “collect anything, search everything” solution and still leans hard on that promise. Splunk ingests great lumps of machine data, indexes it, and lets you interrogate it with its Search Processing Language.

Large enterprises like Splunk because it’s seen as enterprise-ready, heavily extensible, and supported by a strong app ecosystem. Cost and complexity can be downsides, especially when log volumes soar and you turn on the security products too.

Key Features and Strengths

  • Mature search language and analytics
  • Huge marketplace of apps and add-ons
  • Strong security and SIEM capabilities
  • Cloud and self-hosted deployment paths
  • Solid access control and compliance features

Licensing

Splunk commonly licenses by data ingest or workloads. Trials and limited free tiers exist, but real-world deployments will land you in pay-for territory quickly once logs start flowing. Many teams spend serious time tuning what they send and how long they retain it, which can become a constant battle to keep fees within budget.

3. Datadog

Datadog is a poster child for cloud-native observability. It covers infrastructure monitoring, APM, log management, real user monitoring, and security products under one brand. Logs sit alongside metrics and traces, so you can click from a slow endpoint into the exact log lines from the service behind it.

If your stack lives mostly in AWS, Azure, Google Cloud Platform, Kubernetes, and SaaS platforms, Datadog will feel at home. It ships with many integrations, dashboards, and detectors. The main challenge may be keeping track of which products you turned on and how much each one costs.

Key Features and Strengths

  • Unified observability across modern stacks
  • Wide cloud and SaaS integration coverage
  • Security monitoring on top of operations data
  • Flexible dashboards and notebooks for teams
  • Noise reduction and anomaly detection features

Licensing

Datadog pricing is usage-based, by product. Log management drives bills for ingested and retained logs, plus rehydration from archive. Trials are easy to start, but long-term costs will depend heavily on how aggressively or creatively you manage Datadog’s filtering, sampling, and retention policies.

4. New Relic

New Relic reinvented itself around a simple idea: one platform, one usage-based model. You send in logs, metrics, traces, and events and pay for what you use. Logs tie into APM, infrastructure, browser, and mobile monitoring, making it easy to follow issues across the stack.

The free tier is commonly a big draw, especially at the beginning. Smaller teams can run serious workloads without wasting cycles fending off sales calls, then scale up once there’s internal approval. The interface leans heavily toward developers and site reliability engineers (SREs), with plenty of quickstarts and prebuilt content.

Key Features and Strengths

  • All telemetry types under one roof
  • Logs surfaced directly in APM flows
  • Many quickstart dashboards and integrations
  • AI features to highlight anomalies and issues
  • Free tier very useful to new or small teams

Licensing

You get a fixed free quota of data and users each month, but move into usage-based billing once you outgrow what “free” entitles you to. If your organization produces large log volumes, you’ll need clear ingest and retention policies so usage doesn’t shock you at the end of a busy quarter.

5. Dynatrace

Dynatrace leans into automation and AI harder than most. A single agent collects a wide spread of telemetry and feeds it into the Davis digital assistant, which works to group symptoms and propose root causes. Logs are another signal in that pool.

This is particularly attractive if your environment is sprawling and you’re short on heads to hand-craft correlations. Dynatrace helps you discover services and map dependencies, then uses that map to understand the scope of impact and likely root cause when issues arise.

Key Features and Strengths

  • One agent for broad telemetry coverage
  • AI-driven problem detection and context
  • Strong Kubernetes and microservices support
  • Session-level insight for real users
  • Good story for hybrid and legacy environments

Licensing

Dynatrace pricing typically involves a committed level of spend (Dynatrace Platform Subscription) against which usage-based fees are deducted. A trial lets you kick the tires, but serious deployments need careful sizing and a conversation with sales. As with other usage-driven tools, the key is matching licensing to what you actually need to monitor.

6. Sumo Logic

Sumo Logic made its name in cloud-native log analytics and later expanded into broader observability and security. It’s a natural fit for teams with heavy AWS usage and compliance requirements, especially when security and operations share the same log feeds.

Sumo Logic offers prebuilt content for popular platforms and security scenarios, along with a credits-based model that lets you assign capacity where you need it. If your security team wants more, you can try to convince your operations team to use less, in which case you can tune usage accordingly to stay within budget.

Cloud-native delivery and scaling

Security analytics and SIEM capabilities

Multiple prebuilt dashboards for cloud services

Credits-based model for ingest and queries

Free trials for hands-on evaluations

Licensing

You can experiment with a time-limited free trial, then switch to paid tiers once you commit. There is no permanent, unlimited free deployment, so long-term use hinges on managing how much data you send, how often you query, and how long you retain logs.

7. CrowdStrike Falcon LogScale

CrowdStrike Falcon LogScale (originally Humio) runs with an index-free architecture built for speed. It stores logs in a compressed format but still serves queries quickly, which helps when your security team needs answers now, not “when the search finishes.”

Tight coupling with the broader Falcon platform makes this a compelling choice for organizations that already use CrowdStrike for endpoint and threat intelligence—they can sidestep the need to glue together separate products when threats cross from endpoints into infrastructure.

Key Features and Strengths

  • High-performance search over compressed data
  • Heavily integrated with CrowdStrike Falcon post-acquisition
  • Support for many log shippers and sources
  • Scales well, and offers free trials and demos for evaluation

Licensing

Pricing is quote-based and often bundled with other Falcon components. You can run trials, but production requires a budget. If you want to run with a “log everything, keep everything” posture, you’ll also want to design a contract and architecture very carefully to match.

8. Coralogix

Coralogix exists for teams who stare at their log bills and wince. It splits log data into different tiers instead of indexing everything at full price, using in-stream analytics and a TCO optimizer to keep frequently queried data hot and push the rest into cheaper storage.

This gives you a way to “send it all” without paying premium rates for logs nobody ever queries. It also wraps full-stack observability around that idea, so logs, metrics, and traces live together in one place.

Key Features and Strengths

  • In stream analytics, instead of full indexing
  • Smart hot and cold data tiering
  • Observability across logs, metrics, and traces
  • Flexible retention for compliance-heavy teams
  • Easy trials for proof-of-concept work

Licensing

Coralogix does not offer an unlimited free production tier, but you can start with a free trial or a smaller paid plan. To get the most from the platform, you’ll need to classify your data carefully so higher-value logs stay hot and lower-value ones move to the cheaper tiers.

9. Devo

Devo targets security operations first, with SIEM, security orchestration, automation, and response (SOAR), and analytics delivered from a cloud native platform. Under the hood is a log management engine built to handle significant security telemetry while still providing quick responses.

If you’re picking between Devo, Splunk, and Sentinel, you’ve already landed in the modern SIEM market. The Devo pitch leans on speed, advanced analytics, and workflows for threat hunters and detection engineers.

Key Features and Strengths

  • Cloud-native SIEM with fast analytics
  • Combined SIEM, SOAR, and user and entity behavior analytics toolkit
  • Query engine tuned for large data volumes
  • Threat hunting and investigation workflows
  • Integrations with many security tools and clouds

Licensing

Pricing is enterprise-focused and quote-based. You won’t find a permanent free tier, but you can usually negotiate pilots, trials, or evaluations. As usual with SIEM tools, costs depend on how much data you send and how long you store it.

10. Mezmo (LogDNA)

Mezmo grew from a straight log viewer into a telemetry pipeline with strong log analysis on top. The pipeline piece is where it gets interesting: you control how data flows, which events survive, where they land, and how they’re transformed along the way.

If better control over what you’re sending and where it goes is a recurring theme for your team, Mezmo could be worth a look. It lets teams sanitize, enrich, filter, and route data before it hits long-term storage or downstream tools.

Key Features and Strengths

  • Telemetry pipeline with log analysis tools
  • Fine-grained routing and transformation controls
  • Developer-friendly interface and onboarding flows
  • Multiple destinations from one data stream
  • Support for Kubernetes and modern app stacks

Licensing

Mezmo offers a free or low-cost entry-level experience with smaller data volumes and limited retention, plus trials for broader capabilities. Once you start to scale, you switch to gigabyte-based pricing and pay for more advanced features, longer retention, or additional destinations.

11. LogicMonitor

LogicMonitor is well known as a workhorse for infrastructure and network monitoring. Log features sit alongside performance metrics and alerts, giving operators context on why a specific device (router, server, firewall, storage system, etc.) has started to misbehave.

If your world is all racks, cables, servers, and switches, LogicMonitor gives you a unified view across on-prem and cloud infrastructure, with log insights layered into the same dashboards.

Key features and Strengths

  • Strong coverage for infrastructure and networks
  • Logs aligned with monitored entities and services
  • Multi-cloud and SaaS monitoring options
  • Service-level dashboards for business views
  • Fit for enterprises and managed service providers

Licensing

LogicMonitor uses a resource-based model and offers short free trials for evaluation. There is no permanent free tier for ongoing production use, so you’ll have to size licenses based on the number of devices, services, or resources you want covered.

12. Amazon CloudWatch Logs

Amazon CloudWatch Logs is the default choice when your systems live in AWS and you want AWS-native logging. Services send metrics and logs into CloudWatch with minimal effort, and you use the same console to set alarms, build dashboards, and stream logs. While it won’t win any prizes against flashier observability products, the tight integration with AWS services and billing is hard to ignore. If you’re all-in on AWS and aren’t planning to change that, CloudWatch Logs is probably the right answer for you.

Key Features and Strengths

  • Native collection from many AWS services
  • Shared space for metrics, logs, and alarms
  • Real-time log streaming and search
  • Hooks into other AWS observability and security tools
  • Simple, predictable integration for AWS-only teams

Licensing

CloudWatch Logs offers a modest free tier, and thereafter charges apply per gigabyte ingested, stored, and sometimes queried. The usual warnings around cloud bill shock apply: if you enable logging aggressively and keep everything forever, your costs will spiral, so sensible filters and retention policies are essential.

13. Azure Monitor (Log Analytics)

Azure Monitor with Log Analytics is the backbone of observability in Azure. Platform services, VMs, applications, and diagnostics all feed into Log Analytics workspaces, which you query with Kusto.

For Azure-first organizations, this is the central clearinghouse for logs and metrics. It integrates tightly with Sentinel for security, Azure DevOps for pipelines, and other Microsoft tools most Azure-first organizations will already be using.

Key Features and Strengths

  • Central log store for Azure environments
  • Kusto query language for deep analysis
  • Microsoft Sentinel security integration
  • Hybrid monitoring via agents and Azure Arc
  • Large library of workbooks and solutions

Licensing

Azure Monitor charges for ingestion and retention, with some free allowance before paid usage begins. As with other cloud-native tools, thoughtful selection of which logs you collect and how long you keep them is critical to staying within your budget.

Why Log Management Software Is Important

Log management software collects, stores, and analyzes logs from applications, infrastructure, and cloud services in one place so developers, operators, DevOps teams, and SREs can understand behavior, debug issues, and support their work to prove compliance. Without it, logs sit on individual machines, get rotated away at the worst moment, and make incident response one step away from guesswork.

  • Observability and APM platforms pull logs together with metrics, traces, and user experience data so DevOps and SRE teams can see how a code change, configuration tweak, or infrastructure failure impacted real users
  • Log aggregation and analysis tools centralize logs from many sources, normalize formats, and offer powerful search and visualization functionalities so developers and operations teams can jump from high-level dashboards into specific log sequences when they need to understand odd behavior or reproduce edge case bugs
  • Security and compliance platforms extend log management with detection rules, correlation, and reporting for analysts and compliance owners, giving them visibility into suspicious patterns, failed logins, configuration changes, and access records without manually scraping servers during audits or investigations

Benefits of Proprietary Log Management Products

  • Less operational pain for your team
    Commercial log and observability platforms handle upgrades, scaling, redundancy, and storage design so your engineers can focus on incidents, performance, and features instead of nursing clusters or rebuilding broken ingest pipelines after a messy weekend release
  • More predictable total cost of ownership
    Instead of buying hardware and hoping future volumes will fit, you get to work with usage-based or capacity-based pricing, tune retention and filters accordingly, and get dashboards that show where costs come from so finance conversations can be based on evidence, not best estimate guesswork
  • Better collaboration across operations and security
    Many proprietary tools bring observability and security together, which means operations, SRE, and security teams look at the same telemetry, share dashboards, and run joint investigations without exporting logs between systems or duplicating data across half a dozen silos
  • Faster time to value for new projects
    Agents, cloud integrations, and prebuilt content let you bring a new application or service into view in days, not weeks, so teams get usable dashboards, alerts, and log searches quickly and don’t spend months tuning and scaling an open-source cluster before seeing benefits
  • Access to AI and automation features
    Commercial platforms increasingly bundle anomaly detection, event clustering, and generative AI explanations that help boil down thousands of alerts into a handful of incident stories, making life easier for people on call and improving post-incident reviews for everyone involved
  • Enterprise-grade support and compliance alignment
    Most vendors will provide documented service level agreements (SLAs), role-based access controls, audit logs, and certifications so your organization can satisfy governance, policy, and regulatory requirements without the need for a whole side project to build (and then maintain) those capabilities for your open-source environment

What to Look for in a New Log Management Tool

Must-Have Features

  • Ease of use and strong support
    A clean user interface, sensible defaults, clear documentation, training resources, and responsive support so developers, operators, and SREs can pick up the tool quickly, build queries with confidence, and get help when they need it during active incidents
  • Clear view of the total cost of ownership
    Pricing and usage dashboards that show who sends what, which services generate the most data, and how retention affects spend so you can adjust policies, negotiate licenses, and avoid bill shock without constantly juggling spreadsheets
  • AI capabilities
    Features that group similar events, detect anomalies, surface likely root causes, and generate user-friendly summaries of complex incidents, turning raw telemetry into something on-call engineers and stakeholders can use quickly without getting lost in the details
  • Integration with your observability stack
    Ties into metrics, traces, synthetic monitoring, ticketing, and incident response tools so logs are part of a full observability workflow, not a silo, and you can pivot easily between different signals when you’re troubleshooting

Important Considerations

  • Ease of integration with existing tools
    Support for OpenTelemetry, popular log shippers, cloud platforms, and APIs so you can plug new tools into current pipelines, dashboards, and workflows without rewriting every collector or forcing teams to abandon preferred tools
  • Time to set up and onboard
    How quickly you can go from an empty account to useful dashboards and alerts, especially for your most critical services, and how much effort it required for developers and SREs to learn query languages, alert builders, and dashboard editors
  • Support options and SLAs available
    Availability of round-the-clock help, named contacts, or premium tiers, plus clear SLAs for response and resolution, so your choice of log platform lines up with uptime expectations and the business impact of slow or missing incident support

Choosing the Right Proprietary Log Management Tools

Moving off pure open source logging isn’t about picking the shiniest dashboard—it’s about picking the least painful long-term tradeoffs for your environment:

  • Create a list of must-have features
    Capture needs from developers, operations, SRE, security, compliance, and any other critical stakeholders so you know which items are non-negotiable and which can flex, and avoid letting a single loud voice define requirements that don’t reflect your real needs
  • Form an evaluation team with key stakeholders
    Bring together the people who run your current log stack and the ones who live in dashboards during incidents, so evaluations cover the usability, performance, and migration issues you’ll face in production
  • Run and evaluate trials and proofs of concept
    Shortlist two or three candidates, stream real traffic into each one during time-limited trials, and score them against agreed criteria across features, cost, ease of use, and integration depth

How to Set up Your New Log Management Tool

Once you pick a direction, treat implementation as a project, not an afterthought.

  • Define clear goals for the software
    Decide what success looks like, whether it is faster incident resolution, better deployment visibility, improved security, or happier developers, and use those goals to shape dashboards, alerts, and integrations from day one
  • Plan the implementation to minimize friction for the team
    Choose which services and environments to onboard first, agree on how long you’ll run old and new in parallel, and schedule training so nobody meets the new tool for the first time during a high-pressure incident or on-call shift
  • Configure settings and integrations
     Set up agents or shippers, wire in cloud accounts, tune ingestion and retention, connect alert destinations, and configure access controls, then run fire drills to confirm the platform behaves as expected when errors spike or infrastructure fails

As of January 2026

Product specifications and other information set forth herein have either been made accessible by suppliers, manufacturers, publications, or gathered from publicly available sources as of the date of this document. Although measures are taken to ensure the accuracy of the information, SolarWinds makes no representations or warranties as to the completeness or accuracy of the information and shall incur no liability for any errors or omissions.

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