SlideShare une entreprise Scribd logo
1  sur  47
Top 5
Java
Performance
Problems
Ram Lakshmanan
Architect yCrash
Top 5 Production Performance problems
What you will be learning?
2
Real case studies with Real data
Most efficient way to troubleshoot these problems
Garbage Collection
3
What is Garbage?
HTTP Request
Objects
Memory
Garbage
4
5
3-4 Decades ago
Developer
Writes code to Manually evict Garbage
JVM
Automatically evicts Garbage
Now
How are objects Garbage Collected?
Evolution: Manual -> Automatic
6
Automatic GC sounds good right?
Yes, but for
GC pauses CPU consumption
Open-source script:
https://github.com/ycrash/yc-data-script
1. GC Log
10. netstat
12. vmstat
2. Thread Dump
9. dmesg
3. Heap Dump
6. ps
8. Disk Usage
5. top 13. iostat
11. ping
14. Kernel Params
15. App Logs
16. metadata
4. Heap Substitute
7. top -H
7
360° Troubleshooting artifacts
2019-08-31T01:09:19.397+0000: 1.606: [GC (Metadata GC Threshold) [PSYoungGen: 545393K->18495K(2446848K)] 545393K->18519K(8039424K),
0.0189376 secs] [Times: user=0.15 sys=0.01, real=0.02 secs]
2019-08-31T01:09:19.416+0000: 1.625: [Full GC (Metadata GC Threshold) [PSYoungGen: 18495K->0K(2446848K)] [ParOldGen: 24K-
>17366K(5592576K)] 18519K->17366K(8039424K), [Metaspace: 20781K->20781K(1067008K)], 0.0416162 secs] [Times: user=0.38 sys=0.03,
real=0.04 secs]
2019-08-31T01:18:19.288+0000: 541.497: [GC (Metadata GC Threshold) [PSYoungGen: 1391495K->18847K(2446848K)] 1408861K-
>36230K(8039424K), 0.0568365 secs] [Times: user=0.31 sys=0.75, real=0.06 secs]
2019-08-31T01:18:19.345+0000: 541.554: [Full GC (Metadata GC Threshold) [PSYoungGen: 18847K->0K(2446848K)] [ParOldGen: 17382K-
>25397K(5592576K)] 36230K->25397K(8039424K), [Metaspace: 34865K->34865K(1079296K)], 0.0467640 secs] [Times: user=0.31 sys=0.08,
real=0.04 secs]
2019-08-31T02:33:20.326+0000: 5042.536: [GC (Allocation Failure) [PSYoungGen: 2097664K->11337K(2446848K)] 2123061K->36742K(8039424K),
0.3298985 secs] [Times: user=0.00 sys=9.20, real=0.33 secs]
2019-08-31T03:40:11.749+0000: 9053.959: [GC (Allocation Failure) [PSYoungGen: 2109001K->15776K(2446848K)] 2134406K->41189K(8039424K),
0.0517517 secs] [Times: user=0.00 sys=1.22, real=0.05 secs]
2019-08-31T05:11:46.869+0000: 14549.079: [GC (Allocation Failure) [PSYoungGen: 2113440K->24832K(2446848K)] 2138853K->50253K(8039424K),
0.0392831 secs] [Times: user=0.02 sys=0.79, real=0.04 secs]
2019-08-31T06:26:10.376+0000: 19012.586: [GC (Allocation Failure) [PSYoungGen: 2122496K->25600K(2756096K)] 2147917K->58149K(8348672K),
0.0371416 secs] [Times: user=0.01 sys=0.75, real=0.04 secs]
2019-08-31T07:50:03.442+0000: 24045.652: [GC (Allocation Failure) [PSYoungGen: 2756096K->32768K(2763264K)] 2788645K->72397K(8355840K),
0.0709641 secs] [Times: user=0.16 sys=1.39, real=0.07 secs]
2019-08-31T09:04:21.406+0000: 28503.616: [GC (Allocation Failure) [PSYoungGen: 2763264K->32768K(2733568K)] 2802893K->83469K(8326144K),
0.0789178 secs] [Times: user=0.12 sys=1.59, real=0.08 secs]
Sample GC Log
How to analyze GC Log?
https://developer.ibm.co
m/javasdk/tools/
IBM GC & Memory visualizer
GCeasy
yCrash
https://gceasy.io/
Google Garbage cat (cms)
https://code.google.com/
archive/a/eclipselabs.org/
p/garbagecat
HP Jmeter
https://h20392.www2.hpe
.com/portal/swdepot/displ
ayProductInfo.do?produc
tNumber=HPJMETER
03
02
01
05
04
https://ycrash.io/
9
10
Case Study
Long GC Pauses in Top Cloud hosting
Provider
https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/
How does 96% GC Throughput sound?
1 day = 1440 Minutes (i.e., 24 hours x 60 minutes)
96% GC Throughput means app pausing for 57.6
minutes/day 11
What is GC Throughput?
Amount of time application spends in processing customer
transactions
vs
Amount of time application spends in processing garbage
collection activity
12
Case Study: Large Automobile Manufacturer
Response time
Avg response time (secs) Transactions > 25 secs (%)
Baseline 1.88 0.7
GC settings #2 1.36 0.12
GC settings #3 1.7 0.11
GC settings #4 1.48 0.08
GC settings #5 2.045 0.14
GC settings #6 1.087 0.24
GC settings #7 1.03 0.14
GC settings #8 0.95 0.31
49.46%
Improvement
https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/
13
More case studies
Uber Saves Millions of $
https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/
Large Automobile Manufacturer Improves Response Time
https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/
CloudBees (Jenkins Parent company) optimizes
https://blog.gceasy.io/2019/08/01/cloudbees-gc-performance-optimized-with-gceasy/
Oracle optimizes App performance by tuning GC
https://blog.gceasy.io/2022/12/06/oracle-architect-optimizes-performance-using-gceasy/
14
Large SaaS company CEO’s tweet
15
How to tune GC
performance?
Free Video: https://www.youtube.com/watch?v=6G0E4O5yxks
Online Training: https://ycrash.io/java-performance-training
16
Backend Slowdown
Application Architecture
JDBC
SOAP
MainFrame
REST
Server Thread Pool
Application Server
HTTP(S) request
17
Application Architecture
JDBC
SOAP
MainFrame
REST
Server Thread Pool
Application Server
HTTP(S) request
18
1. GC Log
10. netstat
12. vmstat
2. Thread Dump
9. dmesg
3. Heap Dump
(optional)
6. ps
8. Disk Usage
5. top 13. iostat
11. ping
14. Kernel Params
15. App Logs
16. metadata
4. Heap Substitute
7. top -H
19
Open-source script:
https://github.com/ycrash/yc-data-script
360° Troubleshooting artifacts
1 2
3
1 Timestamp at which thread dump was triggered
2 JVM Version info
3 Thread Details - <<details in following slides>>
20
1 2 3 4 5
6
7
1 Thread Name - InvoiceThread-A996
2 Priority - Can have values from 1 to 10
3 Thread Id - 0x00002b7cfc6fb000 – Unique ID assigned by JVM. It's returned by calling the Thread.getId() method.
4 Native Id - 0x4479 - This ID is highly platform dependent. On Linux, it's the pid of the thread. On Windows, it's simply the OS-level thread ID with
a process. On Mac OS X, it is said to be the native pthread_t value.
5 Address space - 0x00002b7d17ab8000 -
6 Thread State - RUNNABLE
7 Stack trace -
21
How to analyze Thread dump?
https://www.ibm.com/support/pages
/ibm-thread-and-monitor-dump-
analyzer-java-tmda
IBM TDMA
FastThread
https://fastthread.io/
03
02
https://tinyurl.com/wq95weo
Sample thread
report
yCrash
https://ycrash.io/
01
22
23
Case Study
Backend Slowdown in a Major
Financial Institution in N.
America
Analysis Report: https://fastthread.io/my-thread-report.jsp?p=c2hhcmVkLzIwMjIvMDcvMzEvdGhyZWFkX2thc3RsZV8yNjA3MjIudHh0LS03LTMwLTMzLS0xNi0zMy0zNg==&&s=t
What’s typically reported in APM? AWS Cloud watch + yCrash = Monitoring + RCA – yCrash
OutOfMemoryError
24
25
Memory Leak Program
Open Source app to simulate Performance Problems
BuggyApp
MemoryLeakDemo
Object1
Object2
MapManager
Key1 Large String…1
Key2 Large String…2
key3 Large String…3
:
:
KeyN Large String…N
myMap
27
Memory of Healthy Application
- Full Garbage Collection Event
28
Acute Memory Leak
- Full Garbage Collection Event
29
Memory Leak
- Full Garbage Collection Event
1. GC Log
10. netstat
12. vmstat
2. Thread Dump
9. dmesg
3. Heap Dump
6. ps
8. Disk Usage
5. top 13. iostat
11. ping
14. Kernel Params
15. App Logs
16. metadata
4. Heap Substitute
7. top -H
30
Open-source script:
https://github.com/ycrash/yc-data-script
360° Troubleshooting artifacts
How to analyze Heap dump?
jhat (oracle.com)
Jhat
Eclipse MAT
https://www.eclipse.org/mat
HeapHero
https://heaphero.io/
04
03
02
https://tinyurl.com/5sxz7dsr
Sample heap report
yCrash
https://ycrash.io/
01
31
CPU Spike
32
top –H –p <PROCESS_ID>’
Secrete Option:
33
We might have used ‘top’
1. GC Log
10. netstat
12. vmstat
2. Thread Dump
9. dmesg
3. Heap Dump
6. ps
8. Disk Usage
5. top 13. iostat
11. ping
14. Kernel Params
15. App Logs
16. metadata
4. Heap Substitute
7. top -H
34
Open-source script:
https://github.com/ycrash/yc-data-script
360° Troubleshooting artifacts
Case Study
Major Trading app in N.
America
https://blog.fastthread.io/2020/04/23/troubleshooting-cpu-spike-in-a-major-trading-application/
35
Concurrency Issues
36
public void synchronized getData() {
doSomething();
}
Thread 1
Thread 2
Thread 1
BLOCKED THREADS
BLOCKED thread state
37
1. GC Log
10. netstat
12. vmstat
2. Thread Dump
9. dmesg
3. Heap Dump
6. ps
8. Disk Usage
5. top 13. iostat
11. ping
14. Kernel Params
15. App Logs
16. metadata
4. Heap Substitute
7. top -H
38
Open-source script:
https://github.com/ycrash/yc-data-script
360° Troubleshooting artifacts
Case Study
Major Leisure Travel Service
Provider
https://blog.ycrash.io/2022/03/09/java-uuid-generation-performance-impact/
39
Deadlock
Open-Source apache library
Analysis Report: Deadlock in Apache pdfbox library - yCrash Answers
Deadlock Pattern
41
Environmental Issues
Bonus
Case Study
Intermittent HTTP 502 errors in
AWS EBS Service
42
EBS Architecture
43
Clue: Nginx Error
44
1. GC Log
10. netstat
12. vmstat
2. Thread Dump
9. dmesg
3. Heap Dump
6. ps
8. Disk Usage
5. top 13. iostat
11. ping
14. Kernel Params
15. App Logs
16. metadata
4. Heap Substitute
7. top -H
45
Open-source script:
https://github.com/ycrash/yc-data-script
360° Data
46
Ram Lakshmanan ram@tier1app.com
@tier1app https://www.linkedin.com/company/ycrash
This deck will be published in:
https://blog.heaphero.io
If you want to learn more …
47
THANK YOU
FRIENDS

Contenu connexe

Similaire à Top-5-java-perf-problems-jax_mainz_2024.pptx

predicting-m3-devopsconMunich-2023.pptx
predicting-m3-devopsconMunich-2023.pptxpredicting-m3-devopsconMunich-2023.pptx
predicting-m3-devopsconMunich-2023.pptxTier1 app
 
Enterprise application performance - Understanding & Learnings
Enterprise application performance - Understanding & LearningsEnterprise application performance - Understanding & Learnings
Enterprise application performance - Understanding & LearningsDhaval Shah
 
7-JVM-arguments-JaxLondon-2023.pptx
7-JVM-arguments-JaxLondon-2023.pptx7-JVM-arguments-JaxLondon-2023.pptx
7-JVM-arguments-JaxLondon-2023.pptxTier1 app
 
Top-5-production-devconMunich-2023-v2.pptx
Top-5-production-devconMunich-2023-v2.pptxTop-5-production-devconMunich-2023-v2.pptx
Top-5-production-devconMunich-2023-v2.pptxTier1 app
 
The Joys of Clean Data with Matt Dowle
The Joys of Clean Data with Matt DowleThe Joys of Clean Data with Matt Dowle
The Joys of Clean Data with Matt DowleSri Ambati
 
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxKnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxTier1 app
 
Service Virtualization - Next Gen Testing Conference Singapore 2013
Service Virtualization - Next Gen Testing Conference Singapore 2013Service Virtualization - Next Gen Testing Conference Singapore 2013
Service Virtualization - Next Gen Testing Conference Singapore 2013Min Fang
 
Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...
Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...
Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...CA Technologies
 
Cloud-native Java EE-volution
Cloud-native Java EE-volutionCloud-native Java EE-volution
Cloud-native Java EE-volutionQAware GmbH
 
Troubleshooting Ecommerce Performance
 Troubleshooting Ecommerce Performance Troubleshooting Ecommerce Performance
Troubleshooting Ecommerce PerformanceDiego Cardozo
 
NoSQL meetup July 2011
NoSQL meetup July 2011NoSQL meetup July 2011
NoSQL meetup July 2011Shay Hassidim
 
16 artifacts to capture when there is a production problem
16 artifacts to capture when there is a production problem16 artifacts to capture when there is a production problem
16 artifacts to capture when there is a production problemTier1 app
 
Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...Masahiko Umeno
 
Microsoft Power Point Best Practices For Scaling Heavily Adopted And Concur...
Microsoft Power Point   Best Practices For Scaling Heavily Adopted And Concur...Microsoft Power Point   Best Practices For Scaling Heavily Adopted And Concur...
Microsoft Power Point Best Practices For Scaling Heavily Adopted And Concur...Steve Feldman
 
Site Performance Challenge: Magento with CloudMaestro
Site Performance Challenge: Magento with CloudMaestroSite Performance Challenge: Magento with CloudMaestro
Site Performance Challenge: Magento with CloudMaestroLagrange Systems
 
EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?confluent
 
AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...
AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...
AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...Amazon Web Services
 
Real-time processing of large amounts of data
Real-time processing of large amounts of dataReal-time processing of large amounts of data
Real-time processing of large amounts of dataconfluent
 
Scale Container Operations with AIOps
Scale Container Operations with AIOpsScale Container Operations with AIOps
Scale Container Operations with AIOpsTimothy Chen
 
How to Become a Winner in the JVM Performance-Tuning Battle
How to Become a Winner in the JVM Performance-Tuning BattleHow to Become a Winner in the JVM Performance-Tuning Battle
How to Become a Winner in the JVM Performance-Tuning BattleCapgemini
 

Similaire à Top-5-java-perf-problems-jax_mainz_2024.pptx (20)

predicting-m3-devopsconMunich-2023.pptx
predicting-m3-devopsconMunich-2023.pptxpredicting-m3-devopsconMunich-2023.pptx
predicting-m3-devopsconMunich-2023.pptx
 
Enterprise application performance - Understanding & Learnings
Enterprise application performance - Understanding & LearningsEnterprise application performance - Understanding & Learnings
Enterprise application performance - Understanding & Learnings
 
7-JVM-arguments-JaxLondon-2023.pptx
7-JVM-arguments-JaxLondon-2023.pptx7-JVM-arguments-JaxLondon-2023.pptx
7-JVM-arguments-JaxLondon-2023.pptx
 
Top-5-production-devconMunich-2023-v2.pptx
Top-5-production-devconMunich-2023-v2.pptxTop-5-production-devconMunich-2023-v2.pptx
Top-5-production-devconMunich-2023-v2.pptx
 
The Joys of Clean Data with Matt Dowle
The Joys of Clean Data with Matt DowleThe Joys of Clean Data with Matt Dowle
The Joys of Clean Data with Matt Dowle
 
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptxKnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
KnowAPIs-UnknownPerf-jaxMainz-2024 (1).pptx
 
Service Virtualization - Next Gen Testing Conference Singapore 2013
Service Virtualization - Next Gen Testing Conference Singapore 2013Service Virtualization - Next Gen Testing Conference Singapore 2013
Service Virtualization - Next Gen Testing Conference Singapore 2013
 
Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...
Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...
Pre-Con Ed: Beyond Software Compliance: Show Me the Money - Simulation and Op...
 
Cloud-native Java EE-volution
Cloud-native Java EE-volutionCloud-native Java EE-volution
Cloud-native Java EE-volution
 
Troubleshooting Ecommerce Performance
 Troubleshooting Ecommerce Performance Troubleshooting Ecommerce Performance
Troubleshooting Ecommerce Performance
 
NoSQL meetup July 2011
NoSQL meetup July 2011NoSQL meetup July 2011
NoSQL meetup July 2011
 
16 artifacts to capture when there is a production problem
16 artifacts to capture when there is a production problem16 artifacts to capture when there is a production problem
16 artifacts to capture when there is a production problem
 
Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...Next generation business automation with the red hat decision manager and red...
Next generation business automation with the red hat decision manager and red...
 
Microsoft Power Point Best Practices For Scaling Heavily Adopted And Concur...
Microsoft Power Point   Best Practices For Scaling Heavily Adopted And Concur...Microsoft Power Point   Best Practices For Scaling Heavily Adopted And Concur...
Microsoft Power Point Best Practices For Scaling Heavily Adopted And Concur...
 
Site Performance Challenge: Magento with CloudMaestro
Site Performance Challenge: Magento with CloudMaestroSite Performance Challenge: Magento with CloudMaestro
Site Performance Challenge: Magento with CloudMaestro
 
EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?
 
AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...
AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...
AWS re:Invent 2016: How Mapbox Uses the AWS Edge to Deliver Fast Maps for Mob...
 
Real-time processing of large amounts of data
Real-time processing of large amounts of dataReal-time processing of large amounts of data
Real-time processing of large amounts of data
 
Scale Container Operations with AIOps
Scale Container Operations with AIOpsScale Container Operations with AIOps
Scale Container Operations with AIOps
 
How to Become a Winner in the JVM Performance-Tuning Battle
How to Become a Winner in the JVM Performance-Tuning BattleHow to Become a Winner in the JVM Performance-Tuning Battle
How to Become a Winner in the JVM Performance-Tuning Battle
 

Plus de Tier1 app

Effectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryErrorEffectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryErrorTier1 app
 
16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE
16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE
16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLETier1 app
 
KnowAPIs-UnknownPerf-confoo-2023 (1).pptx
KnowAPIs-UnknownPerf-confoo-2023 (1).pptxKnowAPIs-UnknownPerf-confoo-2023 (1).pptx
KnowAPIs-UnknownPerf-confoo-2023 (1).pptxTier1 app
 
memory-patterns-confoo-2023.pptx
memory-patterns-confoo-2023.pptxmemory-patterns-confoo-2023.pptx
memory-patterns-confoo-2023.pptxTier1 app
 
lets-crash-apps-jax-2022.pptx
lets-crash-apps-jax-2022.pptxlets-crash-apps-jax-2022.pptx
lets-crash-apps-jax-2022.pptxTier1 app
 
‘16 artifacts’ to capture when there is a production problem
‘16 artifacts’ to capture when there is a production problem‘16 artifacts’ to capture when there is a production problem
‘16 artifacts’ to capture when there is a production problemTier1 app
 
Lets crash-applications
Lets crash-applicationsLets crash-applications
Lets crash-applicationsTier1 app
 
Lets crash-applications
Lets crash-applicationsLets crash-applications
Lets crash-applicationsTier1 app
 
7 habits of highly effective Performance Troubleshooters
7 habits of highly effective Performance Troubleshooters7 habits of highly effective Performance Troubleshooters
7 habits of highly effective Performance TroubleshootersTier1 app
 
Major outagesmajorenteprises 2021
Major outagesmajorenteprises 2021Major outagesmajorenteprises 2021
Major outagesmajorenteprises 2021Tier1 app
 
Jvm internals-1-slide
Jvm internals-1-slideJvm internals-1-slide
Jvm internals-1-slideTier1 app
 
Accelerating Incident Response To Production Outages
Accelerating Incident Response To Production OutagesAccelerating Incident Response To Production Outages
Accelerating Incident Response To Production OutagesTier1 app
 
7 jvm-arguments-Confoo
7 jvm-arguments-Confoo7 jvm-arguments-Confoo
7 jvm-arguments-ConfooTier1 app
 
7 jvm-arguments-v1
7 jvm-arguments-v17 jvm-arguments-v1
7 jvm-arguments-v1Tier1 app
 
How & why-memory-efficient?
How & why-memory-efficient?How & why-memory-efficient?
How & why-memory-efficient?Tier1 app
 
Top feedbacks
Top feedbacksTop feedbacks
Top feedbacksTier1 app
 
Shooting the troubles: Crashes, Slowdowns, CPU Spikes
Shooting the troubles: Crashes, Slowdowns, CPU SpikesShooting the troubles: Crashes, Slowdowns, CPU Spikes
Shooting the troubles: Crashes, Slowdowns, CPU SpikesTier1 app
 
Troubleshooting performanceavailabilityproblems (1)
Troubleshooting performanceavailabilityproblems (1)Troubleshooting performanceavailabilityproblems (1)
Troubleshooting performanceavailabilityproblems (1)Tier1 app
 

Plus de Tier1 app (18)

Effectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryErrorEffectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryError
 
16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE
16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE
16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE
 
KnowAPIs-UnknownPerf-confoo-2023 (1).pptx
KnowAPIs-UnknownPerf-confoo-2023 (1).pptxKnowAPIs-UnknownPerf-confoo-2023 (1).pptx
KnowAPIs-UnknownPerf-confoo-2023 (1).pptx
 
memory-patterns-confoo-2023.pptx
memory-patterns-confoo-2023.pptxmemory-patterns-confoo-2023.pptx
memory-patterns-confoo-2023.pptx
 
lets-crash-apps-jax-2022.pptx
lets-crash-apps-jax-2022.pptxlets-crash-apps-jax-2022.pptx
lets-crash-apps-jax-2022.pptx
 
‘16 artifacts’ to capture when there is a production problem
‘16 artifacts’ to capture when there is a production problem‘16 artifacts’ to capture when there is a production problem
‘16 artifacts’ to capture when there is a production problem
 
Lets crash-applications
Lets crash-applicationsLets crash-applications
Lets crash-applications
 
Lets crash-applications
Lets crash-applicationsLets crash-applications
Lets crash-applications
 
7 habits of highly effective Performance Troubleshooters
7 habits of highly effective Performance Troubleshooters7 habits of highly effective Performance Troubleshooters
7 habits of highly effective Performance Troubleshooters
 
Major outagesmajorenteprises 2021
Major outagesmajorenteprises 2021Major outagesmajorenteprises 2021
Major outagesmajorenteprises 2021
 
Jvm internals-1-slide
Jvm internals-1-slideJvm internals-1-slide
Jvm internals-1-slide
 
Accelerating Incident Response To Production Outages
Accelerating Incident Response To Production OutagesAccelerating Incident Response To Production Outages
Accelerating Incident Response To Production Outages
 
7 jvm-arguments-Confoo
7 jvm-arguments-Confoo7 jvm-arguments-Confoo
7 jvm-arguments-Confoo
 
7 jvm-arguments-v1
7 jvm-arguments-v17 jvm-arguments-v1
7 jvm-arguments-v1
 
How & why-memory-efficient?
How & why-memory-efficient?How & why-memory-efficient?
How & why-memory-efficient?
 
Top feedbacks
Top feedbacksTop feedbacks
Top feedbacks
 
Shooting the troubles: Crashes, Slowdowns, CPU Spikes
Shooting the troubles: Crashes, Slowdowns, CPU SpikesShooting the troubles: Crashes, Slowdowns, CPU Spikes
Shooting the troubles: Crashes, Slowdowns, CPU Spikes
 
Troubleshooting performanceavailabilityproblems (1)
Troubleshooting performanceavailabilityproblems (1)Troubleshooting performanceavailabilityproblems (1)
Troubleshooting performanceavailabilityproblems (1)
 

Dernier

Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 

Dernier (20)

Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 

Top-5-java-perf-problems-jax_mainz_2024.pptx

  • 2. Top 5 Production Performance problems What you will be learning? 2 Real case studies with Real data Most efficient way to troubleshoot these problems
  • 4. What is Garbage? HTTP Request Objects Memory Garbage 4
  • 5. 5 3-4 Decades ago Developer Writes code to Manually evict Garbage JVM Automatically evicts Garbage Now How are objects Garbage Collected? Evolution: Manual -> Automatic
  • 6. 6 Automatic GC sounds good right? Yes, but for GC pauses CPU consumption
  • 7. Open-source script: https://github.com/ycrash/yc-data-script 1. GC Log 10. netstat 12. vmstat 2. Thread Dump 9. dmesg 3. Heap Dump 6. ps 8. Disk Usage 5. top 13. iostat 11. ping 14. Kernel Params 15. App Logs 16. metadata 4. Heap Substitute 7. top -H 7 360° Troubleshooting artifacts
  • 8. 2019-08-31T01:09:19.397+0000: 1.606: [GC (Metadata GC Threshold) [PSYoungGen: 545393K->18495K(2446848K)] 545393K->18519K(8039424K), 0.0189376 secs] [Times: user=0.15 sys=0.01, real=0.02 secs] 2019-08-31T01:09:19.416+0000: 1.625: [Full GC (Metadata GC Threshold) [PSYoungGen: 18495K->0K(2446848K)] [ParOldGen: 24K- >17366K(5592576K)] 18519K->17366K(8039424K), [Metaspace: 20781K->20781K(1067008K)], 0.0416162 secs] [Times: user=0.38 sys=0.03, real=0.04 secs] 2019-08-31T01:18:19.288+0000: 541.497: [GC (Metadata GC Threshold) [PSYoungGen: 1391495K->18847K(2446848K)] 1408861K- >36230K(8039424K), 0.0568365 secs] [Times: user=0.31 sys=0.75, real=0.06 secs] 2019-08-31T01:18:19.345+0000: 541.554: [Full GC (Metadata GC Threshold) [PSYoungGen: 18847K->0K(2446848K)] [ParOldGen: 17382K- >25397K(5592576K)] 36230K->25397K(8039424K), [Metaspace: 34865K->34865K(1079296K)], 0.0467640 secs] [Times: user=0.31 sys=0.08, real=0.04 secs] 2019-08-31T02:33:20.326+0000: 5042.536: [GC (Allocation Failure) [PSYoungGen: 2097664K->11337K(2446848K)] 2123061K->36742K(8039424K), 0.3298985 secs] [Times: user=0.00 sys=9.20, real=0.33 secs] 2019-08-31T03:40:11.749+0000: 9053.959: [GC (Allocation Failure) [PSYoungGen: 2109001K->15776K(2446848K)] 2134406K->41189K(8039424K), 0.0517517 secs] [Times: user=0.00 sys=1.22, real=0.05 secs] 2019-08-31T05:11:46.869+0000: 14549.079: [GC (Allocation Failure) [PSYoungGen: 2113440K->24832K(2446848K)] 2138853K->50253K(8039424K), 0.0392831 secs] [Times: user=0.02 sys=0.79, real=0.04 secs] 2019-08-31T06:26:10.376+0000: 19012.586: [GC (Allocation Failure) [PSYoungGen: 2122496K->25600K(2756096K)] 2147917K->58149K(8348672K), 0.0371416 secs] [Times: user=0.01 sys=0.75, real=0.04 secs] 2019-08-31T07:50:03.442+0000: 24045.652: [GC (Allocation Failure) [PSYoungGen: 2756096K->32768K(2763264K)] 2788645K->72397K(8355840K), 0.0709641 secs] [Times: user=0.16 sys=1.39, real=0.07 secs] 2019-08-31T09:04:21.406+0000: 28503.616: [GC (Allocation Failure) [PSYoungGen: 2763264K->32768K(2733568K)] 2802893K->83469K(8326144K), 0.0789178 secs] [Times: user=0.12 sys=1.59, real=0.08 secs] Sample GC Log
  • 9. How to analyze GC Log? https://developer.ibm.co m/javasdk/tools/ IBM GC & Memory visualizer GCeasy yCrash https://gceasy.io/ Google Garbage cat (cms) https://code.google.com/ archive/a/eclipselabs.org/ p/garbagecat HP Jmeter https://h20392.www2.hpe .com/portal/swdepot/displ ayProductInfo.do?produc tNumber=HPJMETER 03 02 01 05 04 https://ycrash.io/ 9
  • 10. 10 Case Study Long GC Pauses in Top Cloud hosting Provider https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/
  • 11. How does 96% GC Throughput sound? 1 day = 1440 Minutes (i.e., 24 hours x 60 minutes) 96% GC Throughput means app pausing for 57.6 minutes/day 11 What is GC Throughput? Amount of time application spends in processing customer transactions vs Amount of time application spends in processing garbage collection activity
  • 12. 12 Case Study: Large Automobile Manufacturer Response time Avg response time (secs) Transactions > 25 secs (%) Baseline 1.88 0.7 GC settings #2 1.36 0.12 GC settings #3 1.7 0.11 GC settings #4 1.48 0.08 GC settings #5 2.045 0.14 GC settings #6 1.087 0.24 GC settings #7 1.03 0.14 GC settings #8 0.95 0.31 49.46% Improvement https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/
  • 13. 13 More case studies Uber Saves Millions of $ https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/ Large Automobile Manufacturer Improves Response Time https://blog.gceasy.io/2022/03/04/garbage-collection-tuning-success-story-reducing-young-gen-size/ CloudBees (Jenkins Parent company) optimizes https://blog.gceasy.io/2019/08/01/cloudbees-gc-performance-optimized-with-gceasy/ Oracle optimizes App performance by tuning GC https://blog.gceasy.io/2022/12/06/oracle-architect-optimizes-performance-using-gceasy/
  • 14. 14 Large SaaS company CEO’s tweet
  • 15. 15 How to tune GC performance? Free Video: https://www.youtube.com/watch?v=6G0E4O5yxks Online Training: https://ycrash.io/java-performance-training
  • 17. Application Architecture JDBC SOAP MainFrame REST Server Thread Pool Application Server HTTP(S) request 17
  • 18. Application Architecture JDBC SOAP MainFrame REST Server Thread Pool Application Server HTTP(S) request 18
  • 19. 1. GC Log 10. netstat 12. vmstat 2. Thread Dump 9. dmesg 3. Heap Dump (optional) 6. ps 8. Disk Usage 5. top 13. iostat 11. ping 14. Kernel Params 15. App Logs 16. metadata 4. Heap Substitute 7. top -H 19 Open-source script: https://github.com/ycrash/yc-data-script 360° Troubleshooting artifacts
  • 20. 1 2 3 1 Timestamp at which thread dump was triggered 2 JVM Version info 3 Thread Details - <<details in following slides>> 20
  • 21. 1 2 3 4 5 6 7 1 Thread Name - InvoiceThread-A996 2 Priority - Can have values from 1 to 10 3 Thread Id - 0x00002b7cfc6fb000 – Unique ID assigned by JVM. It's returned by calling the Thread.getId() method. 4 Native Id - 0x4479 - This ID is highly platform dependent. On Linux, it's the pid of the thread. On Windows, it's simply the OS-level thread ID with a process. On Mac OS X, it is said to be the native pthread_t value. 5 Address space - 0x00002b7d17ab8000 - 6 Thread State - RUNNABLE 7 Stack trace - 21
  • 22. How to analyze Thread dump? https://www.ibm.com/support/pages /ibm-thread-and-monitor-dump- analyzer-java-tmda IBM TDMA FastThread https://fastthread.io/ 03 02 https://tinyurl.com/wq95weo Sample thread report yCrash https://ycrash.io/ 01 22
  • 23. 23 Case Study Backend Slowdown in a Major Financial Institution in N. America Analysis Report: https://fastthread.io/my-thread-report.jsp?p=c2hhcmVkLzIwMjIvMDcvMzEvdGhyZWFkX2thc3RsZV8yNjA3MjIudHh0LS03LTMwLTMzLS0xNi0zMy0zNg==&&s=t What’s typically reported in APM? AWS Cloud watch + yCrash = Monitoring + RCA – yCrash
  • 25. 25 Memory Leak Program Open Source app to simulate Performance Problems BuggyApp
  • 26. MemoryLeakDemo Object1 Object2 MapManager Key1 Large String…1 Key2 Large String…2 key3 Large String…3 : : KeyN Large String…N myMap
  • 27. 27 Memory of Healthy Application - Full Garbage Collection Event
  • 28. 28 Acute Memory Leak - Full Garbage Collection Event
  • 29. 29 Memory Leak - Full Garbage Collection Event
  • 30. 1. GC Log 10. netstat 12. vmstat 2. Thread Dump 9. dmesg 3. Heap Dump 6. ps 8. Disk Usage 5. top 13. iostat 11. ping 14. Kernel Params 15. App Logs 16. metadata 4. Heap Substitute 7. top -H 30 Open-source script: https://github.com/ycrash/yc-data-script 360° Troubleshooting artifacts
  • 31. How to analyze Heap dump? jhat (oracle.com) Jhat Eclipse MAT https://www.eclipse.org/mat HeapHero https://heaphero.io/ 04 03 02 https://tinyurl.com/5sxz7dsr Sample heap report yCrash https://ycrash.io/ 01 31
  • 33. top –H –p <PROCESS_ID>’ Secrete Option: 33 We might have used ‘top’
  • 34. 1. GC Log 10. netstat 12. vmstat 2. Thread Dump 9. dmesg 3. Heap Dump 6. ps 8. Disk Usage 5. top 13. iostat 11. ping 14. Kernel Params 15. App Logs 16. metadata 4. Heap Substitute 7. top -H 34 Open-source script: https://github.com/ycrash/yc-data-script 360° Troubleshooting artifacts
  • 35. Case Study Major Trading app in N. America https://blog.fastthread.io/2020/04/23/troubleshooting-cpu-spike-in-a-major-trading-application/ 35
  • 37. public void synchronized getData() { doSomething(); } Thread 1 Thread 2 Thread 1 BLOCKED THREADS BLOCKED thread state 37
  • 38. 1. GC Log 10. netstat 12. vmstat 2. Thread Dump 9. dmesg 3. Heap Dump 6. ps 8. Disk Usage 5. top 13. iostat 11. ping 14. Kernel Params 15. App Logs 16. metadata 4. Heap Substitute 7. top -H 38 Open-source script: https://github.com/ycrash/yc-data-script 360° Troubleshooting artifacts
  • 39. Case Study Major Leisure Travel Service Provider https://blog.ycrash.io/2022/03/09/java-uuid-generation-performance-impact/ 39
  • 40. Deadlock Open-Source apache library Analysis Report: Deadlock in Apache pdfbox library - yCrash Answers Deadlock Pattern
  • 42. Case Study Intermittent HTTP 502 errors in AWS EBS Service 42
  • 45. 1. GC Log 10. netstat 12. vmstat 2. Thread Dump 9. dmesg 3. Heap Dump 6. ps 8. Disk Usage 5. top 13. iostat 11. ping 14. Kernel Params 15. App Logs 16. metadata 4. Heap Substitute 7. top -H 45 Open-source script: https://github.com/ycrash/yc-data-script 360° Data
  • 46. 46
  • 47. Ram Lakshmanan ram@tier1app.com @tier1app https://www.linkedin.com/company/ycrash This deck will be published in: https://blog.heaphero.io If you want to learn more … 47 THANK YOU FRIENDS

Notes de l'éditeur

  1. http://localhost:8080/yc-load-report-gc?ou=SAP&de=145.23.82.1&app=yc&ts=2023-06-11T23-03-50 http://localhost:8080/yc-load-report-gc?ou=SAP&de=193.45.89.12&app=yc&ts=2023-06-11T23-09-10
  2. http://localhost:8080/yc-report.jsp?ou=SAP&de=189.34.21.56&app=yc&ts=2024-02-27T10-04-26
  3. http://localhost:8080/yc-report.jsp?ou=SAP&de=192.168.17.183&app=yc&ts=2023-10-05T07-38-13
  4. http://localhost:8080/yc-report.jsp?ou=SAP&de=192.168.17.183&app=yc&ts=2023-10-05T07-38-13
  5. http://localhost:8080/yc-load-report-hd?isWCReport=true&ou=SAP&de=192.168.17.183&app=yc&ts=2023-10-05T07-38-13
  6. http://localhost:8080/yc-load-report-hd?isWCReport=true&ou=SAP&de=192.168.17.183&app=yc&ts=2023-10-05T07-38-13
  7. http://localhost:8080/yc-report.jsp?ou=SAP&de=32.123.89.12&app=yc&ts=2023-06-11T23-54-10
  8. http://localhost:8080/yc-report.jsp?ou=SAP&de=90.21.123.19&app=yc&ts=2023-12-03T19-11-33
  9. https://test.ycrash.io/yc-report-kernel.jsp?ou=czlWbG0rUko0UXAxazlSbjZrSUIwUT09&de=172.31.7.106&app=yc&ts=2023-09-01T10-25-39