Time Climb
Visualize step function latency averages
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Description
TimeClimb helps visualize AWS Step Function latency averages over custom time ranges (day, week, month, or year), displaying overall step function and individual step latencies. Users can view line charts for time-based latency trends and click on individual steps to see detailed latency metrics on a line chart. A heat map displaying each step's latencies over the selected period of time will display by default.
How to use Time Climb?
To use TimeClimb, connect it to your AWS Step Functions and select the desired time range to visualize latency data. You can interact with the line charts and heat maps to analyze performance metrics.
Core features of Time Climb:
1️⃣
Visualizes AWS Step Function latencies
2️⃣
Displays latency averages over custom time ranges
3️⃣
Provides line charts for time-based latency trends
4️⃣
Offers detailed latency metrics for individual steps
5️⃣
Includes a heat map for step latencies
Why could be used Time Climb?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Monitoring AWS Step Function performance | ✅ | |
| # 2 | Identifying latency bottlenecks in workflows | ✅ | |
| # 3 | Analyzing trends in step function latencies over time | ✅ | |
Who developed Time Climb?
TimeClimb is developed by a team of professionals including Alex Stewart, Andrew Mott, Austin Cheng, Paul Uhlenkott, and Sharon Patterson, who are dedicated to providing tools for better visualization and analysis of AWS services.