This can be achieved in 2 simple step:

Step 1: Upgarde plan

Head Over to the Billing Tab in your SigNoz Cloud left hand navigation, there you will see a button to Upgrade Plan. Click on the Upgrade Plan button.

Step 2: Add Email and Billing address

Once you click the Upgrade Plan button, it will open a Page where you can add your details like email and Billing Address.

Optional Step: Update Billing Information

Once you have added your Credit Card successfully, you can go to the Billing tab in SigNoz Cloud and you'll see a button to Manage Plan which you can use to add or update your info by clicking on Update information.

SigNoz is a full-stack open source APM tool. It provides logs, metrics, and traces under a single dashboard. You can correlate these signals to debug performance issues quickly. SigNoz uses OpenTelemetry for instrumentation. OpenTelemetry is quietly becoming the world standard for instrumenting cloud-native applications.

SigNoz is an open source alternative to traditional SaaS APMs like DataDog.

Prometheus is good if you want to do just metrics. But metrics are just one aspect of monitoring. Ideally, you would also use other telemetry signals like logs and traces to set up a robust monitoring framework for your application. SigNoz provides logs and traces too, everything under a single pane of glass.

Moreover, it’s not trivial to get application metrics with Prometheus. SigNoz provides out-of-box charts for application metrics like p99 latency of requests. You can also correlate your application metrics with traces seamlessly.

Our goal is to provide an integrated UI between all telemetry signals - metrics, traces, and logs - similar to what SaaS vendors like Datadog provide.

prometheus/alertmanager mostly works via config and needs to restart for every change. The SigNoz team forked and created APIs to create, test and manage channels dynamically along with other functionalities like muting, inhibiting, etc

The advantages of SigNoz are powered by the choice of columnar database underlying it. Running aggregates on traces and logs would be much more efficient when doing in a columnar db. So, if you use Tempo you won't be able to get sum/rate/count/percentile on spans filtered by tags/labels. Similarly, for Loki if you look into their open issues on performance, you will find issues in running fast aggregations on millions of log lines. Moreover, running 3 stacks for metrics, traces and logs would prove to be more cumbersome for millions of events.

Using a single underlying datastore helps us in switching context from metrics to traces. Say, you see a spike in latency or error % of external calls or db calls from a service, SigNoz can take you to relevant traces on the click of a button which may not be as simple in Grafana (as far as we know).

To Summarise

• Underlying distributed columnar db to power analytical queries, Uber mentioned 80% of the queries over logs data were analytical and hence they shifted to clickhouse from elk. Here's the blog link.
• Ability to handle high cardinality traces as these types of databases support wide columns
• Single app vs combining different products for metrics, traces and logs
• UI streamlined for APM use cases

We support PromQL and Prometheus remote read for users to shift seamlessly from Prometheus to SigNoz as their metrics monitoring tool. We also support PromQL for configuring alerts.

SigNoz supports all the exporters that are listed on the Exporters and Integrations page of the Prometheus documentation. If you have a running Prometheus instance and you expose metrics in Prometheus, then you can scrape them in SigNoz by configuring Prometheus receivers.

Yes, you can. SigNoz provides better distributed tracing capabilities than Jaeger. The traces tab of SigNoz provides advanced filtering based on different attributes. Moreover, you can also run aggregates on filtered traces. For example, you can get the p99 latency of spans with a tag of premium_customers.

Trace data is also visualized with Flamegraphs and Gantt charts.

With SigNoz, you get metrics, traces and logs in a single application unlike Jaeger which primarily focuses on distributed tracing.

SigNoz is full-stack open source APM and observability tool. Some key aspects that make SigNoz unique are as follows:

• SigNoz is open source and based on open standards. SigNoz is built to support OpenTelemetry natively.

• SigNoz provides metrics, traces, and logs under a single pane of glass. Rather than running different projects like Prometheus for metrics and Jaeger for traces and stitching them together, you can use SigNoz as your one-stop observability solution.

• SigNoz uses columnar datastores, which makes aggregating queries very fast. It also helps in slicing and dicing the data using Group BY and aggregates. You can identify the root cause of performance issues quickly.

The last we checked Honeycomb (August 2022), they were primarily focused on traces and support for metrics in their pro plan.

We do have support for metrics, traces and also logs. So you can get all the 3 signals in a single app. You get out of the box dashboards for services with metrics like latency, etc. We have good support for trace aggregates and filters based on trace attributes, with a trace detail page with attributes. You can check more details in our docs

Though Honeycomb does have some features like Bubble up and correlation which we don't have currently, but we have some advanced correlation based features in our roadmap.

So, it depends on the use cases you are trying to solve - whether SigNoz will fit your needs today or not.

Yes, you can run SigNoz in an AWS instance using Docker Compose or Docker Swarm. You can also use our helm chart to deploy SigNoz in EKS.

Refer here: https://signoz.io/docs/install/

Yes, it is possible to remove the sample app. Refer here. No, you do not need to put your application’s container and image in that place.

We currently do not support Windows because we are a small team. At first, we are focussing on MAC and Linux users.

Try SigNoz on your macOS or Linux system, and use the install script for easy setup.

Supported Linux Disto - Ubuntu | Debian | OpenSuse | CentOS | SUSE Linux Enterprise Server (SLES)

If you're using a different Linux distribution, see the Install SigNoz Using Docker Compose section.

Yes, SigNoz can monitor resource utilization metrics at the node and pod level from your Kubernetes cluster. You can enable it by following the set of instructions here.

We currently working on supporting custom baseURL to support that.

You can track it here: https://github.com/SigNoz/signoz/pull/1115

You need to follow our migration guides to upgrade SigNoz correctly.

No, it’s stored in SQLite. But we are planning to move to PostgreSQL. You can track the GitHub issue here.