Best Observability Tools: 11 Platforms for Logs and Traces

Monitoring tells you a server is struggling. Observability helps you work out why: which request slowed down, which service failed first and which customers felt it. Once you run more than a handful of services in the cloud, guessing stops working.

The eleven platforms below are listed alphabetically and in no particular order, from open source projects to the big enterprise suites, and every description comes from the vendor's own site, read this week. If you're still deciding where to host everything, my guide to the benefits of cloud hosting is a useful starting point.

Observability platforms compared

In the free plan column, Yes means the tool's own site names a free plan, a free edition, a free account or an open source version. Trial only means a time-limited trial. Not stated means the pages I read named neither, even where there's a button inviting you to try it or book a demo.

Tool	Type	Good for	Free plan
Better Stack	Logs, tracing, uptime and incidents in one	Small teams wanting monitoring and status pages together	Not stated
Chronosphere	Observability built for Kubernetes	Cloud-native teams with heavy metric volumes	Not stated
Datadog	Integrated monitoring and security platform	Large teams wanting one vendor for everything	Trial only
Dynatrace	AI-powered observability platform	Enterprises wanting automatic problem detection	Trial only
Grafana Cloud	Hosted full-stack observability	Teams already using Grafana dashboards	Yes
groundcover	Full-stack observability for engineers	Keeping telemetry data in your own cloud	Not stated
Honeycomb	Observability for debugging production	Debugging tricky problems in live systems	Not stated
Last9	Unified logs, metrics and traces	Controlling noisy telemetry before storage	Not stated
New Relic	Intelligent observability platform	Teams monitoring apps, cloud and AI usage	Not stated
OpenObserve	Open source observability platform	Storing large log volumes efficiently	Yes
SigNoz	Open source, OpenTelemetry-native observability	Self-hosting traces, metrics and logs	Yes

Eleven observability platforms to consider

Better Stack

Best for: Smaller engineering teams that want logs, tracing, infrastructure monitoring, incident management and a status page from one provider.

Chronosphere

Best for: Cloud-native companies running microservices and containers that want tight control over how much telemetry they keep and store.

Datadog

Best for: Larger organisations that want infrastructure, application, log and security monitoring from one widely used platform with many integrations.

Dynatrace

Best for: Enterprises with complex estates that want AI to spot problems, find root causes and trigger automated fixes across their systems.

Grafana Cloud

Best for: Teams that already know Grafana dashboards and want hosted metrics, logs and traces without being locked into one vendor's formats.

groundcover

Best for: Engineering teams that want full-stack observability for Kubernetes while keeping control of their data and the bill that comes with it.

Honeycomb

Best for: Developers who need to ask detailed questions of production data to debug unusual problems that dashboards alone don't explain.

Last9

Best for: Teams drowning in noisy telemetry that want to route, filter and control logs, metrics and traces before the data hits storage.

New Relic

Best for: Engineering teams that want application, infrastructure and AI monitoring with built-in help on fixing issues before customers notice.

OpenObserve

Best for: Companies with very large log volumes that want an open source platform built to keep data on far less storage than older search tools.

SigNoz

Best for: Developers who want traces, metrics and logs in one OpenTelemetry-native tool, either self-hosted for free or as a cloud service.

Why logging guidance belongs in this decision

CISA's Best Practices for Event Logging and Threat Detection was written with the Australian Signals Directorate and partners including the FBI, the NSA and the UK's National Cyber Security Centre. It says event logging supports the continued delivery of operations and improves security and resilience by giving you visibility of your network, and it's written with limited resources in mind.

Here's why that matters when you pick an observability tool: the same logs your engineers use to fix a slow checkout are the evidence your security team needs after an incident. If your platform drops or samples away the wrong data to keep storage down, you may find the gap only when you need it most.

Logs, metrics and traces in plain English

Logs are the written record of what happened. Metrics are numbers over time, such as response times or memory use. Traces follow a single request as it travels through your services, so you can see exactly where it slowed down. You need all three to answer most real questions.

A growing number of tools collect all three through OpenTelemetry, an open standard. That's worth asking about, because it makes switching providers later much less painful.

The terminology is explained in our observability versus monitoring explainer.

What to ask each vendor

1. Do you support OpenTelemetry for logs, metrics and traces?
2. How do you decide what data to keep, and can we control it?
3. Where is our data stored, and can it stay in our own cloud?
4. How quickly can a new engineer find the cause of an error?
5. Can we set alerts that go to the people on call?
6. How do retention periods work for logs we need for security?

Two of the biggest names meet head to head in our Datadog versus Dynatrace comparison.

Signs you've outgrown basic monitoring

• Alerts fire, but nobody knows why. The cause takes hours to find.
• Engineers check five tools per incident. Data lives everywhere.
• Customers report slowdowns first. Dashboards still look green.
• Storage keeps growing. Nobody decides what to keep.

Do you make observability and monitoring tools? Tool makers can ask to be considered for a featured place on this list.

My plain advice on choosing an observability platform

Pick one real incident from the last few months and replay it in a trial. If the tool takes you from the alert to the cause in a few clicks, that's worth more than any feature list. If your team gets lost, they'll get lost at three in the morning too.

Then talk to whoever looks after security before you sign. Agree which logs must be kept and for how long, so you don't have to rebuild everything later. If downtime would hurt the business, my business continuity plan guide is worth a look too.

Frequently asked questions

What is observability?

Observability is the ability to understand what's happening inside your systems from the data they produce, mainly logs, metrics and traces, so you can find and fix problems quickly.

What's the difference between monitoring and observability?

Monitoring watches known signals and alerts when they cross a threshold. Observability lets you investigate problems you didn't predict by exploring detailed data.

Are there free observability tools?

Yes. Several open source platforms can be self-hosted for free, and some hosted services have free plans. Check the free plan column in the table above.

What is OpenTelemetry?

OpenTelemetry is an open standard for collecting logs, metrics and traces, supported by many tools, so you can change observability providers without re-instrumenting everything.

Do small businesses need observability tools?

If your business depends on a web app or online service, even basic logs and alerts help. Larger observability platforms matter more as the number of services grows.

How long should logs be kept?

It depends on your security and legal needs. Agree a retention period with your security lead before you choose a platform, rather than letting the default decide.