Circonus vs Honeycomb
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It provides your team the tools, support and insight to deliver the best online experience for your customer. | We built Honeycomb to answer the hard questions that come up when you're trying to operate your software–to debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys. |
Bandwidth Monitoring;
Baseline Manager
Dashboard;
Internet Usage Monitoring;
IP Address Monitoring;
Network Diagnosis;
Network Resource Management;
Server Monitoring. | High-performance querying against high-cardinality or sparse events.; Accepts any structured JSON objects with a write key.; Submit events via API.; Open source agents, log tailers, SDKs, and integrations.; Customizable high-performance query windows.; Customizable storage windows provide control over retention and costs.; Always have access to the the raw data behind query results and graphs.; Shared boards.; Individual and team query histories.; Triggers and notifications.; Secure Tenancy for data compliance. |
Statistics | |
Stacks 1 | Stacks 80 |
Followers 6 | Followers 112 |
Votes 0 | Votes 8 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |
What are some alternatives to Circonus, Honeycomb?
New Relic
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Datadog
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Grafana
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Kibana
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Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Raygun
Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
AppSignal
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Netdata
Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps
AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
