Modern systems need modern tools
When incidents happen—because let’s face it, they will—our platform finds answers faster than pre-aggregated monitoring ever could.
What is APM?
APM tools are designed to help teams monitor and optimize the performance of software applications. APM ensures that applications are meeting performance expectations and delivering a positive user experience by comparing current conditions against known thresholds. APM provides visibility into aspects of an application’s behavior, such as latency, traffic, errors, and saturation.
What is observability?
Observability is the ability to measure and understand any aspect of system or application behavior and performance. Good observability data should capture all kinds of details, like transaction IDs, API endpoints, response codes, customer IDs, input parameters, durations, byte sizes, and just about anything else you think might be useful later. The more data you can capture, the better.
Read more in our article explaining the differences between APM vs. observability
Honeycomb observability vs. APM
Analyze telemetry data faster
High-cardinality data analysis with high dimensionality
Quickly filter results by unlimited high-cardinality dimensions
Slow, expensive analysis, costly dimensions, pre-indexing required
Speed of query results
Instant, with uncapped cardinality and thousands of dimensions
Results only return quickly when data is pre-aggregated
Speed of data query availability after ingestion
Newly ingested telemetry is available to query in under 5s
Some telemetry available after seconds, some vendors need several minutes
Get quickly alerted for issues in production
Deciding what to monitor
Monitor what you choose and know what’s important behind SLOs
Monitor what’s come up in the past
Taking action on an alert
Debug SLO-triggered alerts using the same tool
One tool to alert, another tool to debug
Decreasing alert noise
Trigger single alerts before user experience degrades
Many alerts are grouped together, AI decides priority
Measuring failure or success
Uses individual requests to measure requests succeeded vs. requests failed
Uses metrics to measure good minutes vs. bad minutes
Isolate the source of issues in near real-time
Correlation detection
Surface hidden patterns behind issues within any graph or query result.
Trust AI suggestions on what metrics to attend to
Triage workflow
Use one workflow, driven by querying and first principles, to surface relevant telemetry data
Analyze different dashboards, then switch to other tools based on intuition
Know where to start
Quickly find the relevant context, regardless of prior experience
Fast analysis requires intuition and prior experience with a system
Onboard the organization easily
Supporting vendor-neutral standards
OpenTelemetry is standard and compatible with all features
Recommend proprietary agents and libraries, but may support OpenTelemetry
Cross-team adoption
Unlimited hosts, seats, users, etc. Simple pricing encourages adoption
Price increases the more you use it (per host, seats, service, teams, etc.)
Ability for anyone to query
Build queries intuitively with a visual UI. Ask questions in plain English with Query Assistant
Learn proprietary query languages
Don’t just take our word for it
Teams who switch to Honeycomb benefit from decreased observability costs, improved engineering efficiency, and more.
“After years in engineering feeling like I was missing critical insights, with our switch to Honeycomb, suddenly, it’s like I have sight for the first time in my career. I can observe how the system behaves, understand what’s happening, ask questions, and actually get answers. It’s like shedding light on what was once obscured. Honeycomb has entirely transformed my perspective.“
“With Honeycomb, it’s not a case of keeping huge volumes of data in storage so your costs rise and you still need to keep more. Cost is predictable; you know that you can rely on getting access to that one event or piece of raw data you need, so it’s more reliable.“
“We can’t live without Honeycomb because we need observability. It makes our lives easier, improves the quality of our deployments, and ensures we can sleep better at night.“