JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
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Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
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Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
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And...
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
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3. BO33J13210D
X2 10G 1310nm 10KM
RoHS Compliant Optical Transceiver
- 3 -
1. Absolute Maximum Ratings
Parameter Symbol Min. Typ. Max. Unit
Storage Temperature Ts -40 85 ºC
Storage Ambient Humidity HA 5 95 %
2. Recommended Operating Conditions
Parameter Symbol Min. Typ. Max. Unit Note
Case Operating Temperature Tcase
0 70 BO33J13210D
-10 80 ºC BO33J13210DEX
-40 85 BO33J13210DIN
Ambient Humidity HA 5 70 %
Transmission Distance 10 KM
Coupled Fiber Single mode fiber 9/125µm MMF
3. Electrical Interface Characteristics
Parameter Symbol Min. Typ. Max. Unit Note
Power Supply Voltage Vcc 3.13 3.3 3.45 V
Power Supply Current Icc1 1.0 A
Power Supply Current Icc2 1.7 A
Power Consumption PDS 4.0 W
Power supply stabilization time TDF 500 ms
Initialization Time TINIT 5 S
RESET Assert Time TRESET 1 Ms
Hold Time after rising edge of
RESET
THOLD 500 ms
4. XAUI Driver Characteristics
Parameter Symbol Min. Typ. Max. Unit Note
Baud Rate 3.125 Gbit/s
Baud Rate Tolerance -100 +100 ppm
Differential Amplitude 800 1600 mVPP
5. Transmitter Specifications - Optical
Parameter Symbol Min. Typ. Max. Unit Note
Average Output Power POUT -5 -0.5 dBm
Extinction Ratio ER 3.5 dB
Center Wavelength λC 1290 1310 1330 nm VCSEL Laser
Average Launch power of transmitter POFF -30 dBm
Output Eye Mask
Compliant with IEEE802.3ae
(class 1 laser safety)
4. BO33J13210D
X2 10G 1310nm 10KM
RoHS Compliant Optical Transceiver
- 4 -
6. Receiver Specifications - Optical
Parameter Symbol Min. Typ. Max. Unit Note
Input Optical Wavelength λIN 1270 1610 nm
Receiver Sensitivity PIN -14.4 dBM 1
Input Saturation Power (Overload) PSAT 0.5 dBm
LOS Assert PA -32 dBm
LOS De-assert PD -18 dBm
LOS Hysteresis PA-PD 0.5 dB
Notes:
1. Measured with Light source 1310nm, ER=3.5dB; BER =<10
-12
@PRBS=2
31
-1 non-return-to-zero.
7. XENPAK to Host Connector Pin Out
Pin Symbol I/O Logic Description
1 GND I Supply Electrical ground
2 GND I Supply Electrical ground
3 GND I Supply Electrical ground
4 Reserved - - Reserved
5 3.3 V I Supply Power
6 3.3 V I Supply Power
7 APS I Supply Adaptive Power Supply
8 APS I Supply Adaptive Power Supply
9 LASI O Open Drain Link Alarm Status Interrupt. 10-22k
ohm pull up on host.
10 RESET I 1.2V CMOS TX OFF when MDIO RESET
11 VEND SPECIFIC - - Vendor Specific Pin. Leave
unconnected.
12 TX ON/OFF I 1.2V CMOS Transmitter ON/OFF
13 Reserved - - Reserved
14 MOD DETECT O - Pulled low inside module through
1k ohm.
15 VEND SPECIFIC - - Vendor Specific Pin. Leave
unconnected.
16 VEND SPECIFIC - - Vendor Specific Pin. Leave
unconnected.
17 MDIO I/O Open Drain Management Data IO
18 MDC I 1.2V CMOS Management Data Clock
19 PRTAD4 I 1.2V CMOS Port Address bit 4 (Low=0)
20 PRTAD3 I 1.2V CMOS Port Address bit 3 (Low=0)
21 PRTAD2 I 1.2V CMOS Port Address bit 2 (Low=0)
22 PRTAD1 I 1.2V CMOS Port Address bit 1 (Low=0)
23 PRTAD0 I 1.2V CMOS Port Address bit 0 (Low=0)
24 VEND SPECIFIC - - Vendor Specific Pin. Leave
unconnected.
25 APS SET O - Feedback output for APS
26 RESERVED - - Reserved for Avalanche Photodiode
use
27 APS SENSE O Analog APS Sense Connection
5. BO33J13210D
X2 10G 1310nm 10KM
RoHS Compliant Optical Transceiver
- 5 -
28 APS I Supply Adaptive Power Supply
29 APS I Supply Adaptive Power Supply
30 3.3 V I Supply Power
31 3.3 V I Supply Power
32 Reserved - - Reserved
33 GND I Supply Electrical Ground
34 GND I Supply Electrical Ground
35 GND I Supply Electrical Ground
36 GND I Supply Electrical Ground
37 GND I Supply Electrical Ground
38 Reserved - - Reserved
39 Reserved - - Reserved
40 GND I Supply Electrical Ground
41 RX LANE 0+ O AC Module XAUI Output Lane 0+
42 RX LANE 0- O AC Module XAUI Output Lane 0-
43 GND I Supply Electrical Ground
44 RX LANE 1+ O AC Module XAUI Output Lane 1+
45 RX LANE 1- O AC Module XAUI Output Lane 1-
46 GND I Supply Electrical Ground
47 RX LANE 2+ O AC Module XAUI Output Lane 2+
48 RX LANE 2- O AC Module XAUI Output Lane 2-
49 GND I Supply Electrical Ground
50 RX LANE 3+ O AC Module XAUI Output Lane 3+
51 RX LANE 3- O AC Module XAUI Output Lane 3-
52 GND I Supply Electrical Ground
53 GND I Supply Electrical Ground
54 GND I Supply Electrical Ground
55 TX LANE 0+ I AC Module XAUI Input Lane 0+
56 TX LANE 0- I AC Module XAUI Input Lane 0-
57 GND I Supply Electrical Ground
58 TX LANE 1+ I AC Module XAUI Input Lane 1+
59 TX LANE 1- I AC Module XAUI Input Lane 1-
60 GND I Supply Electrical Ground
61 TX LANE 2+ I AC Module XAUI Input Lane 2+
62 TX LANE 2- I AC Module XAUI Input Lane 2-
63 GND I Supply Electrical Ground
64 TX LANE 3+ I AC Module XAUI Input Lane 3+
65 TX LANE 3- I AC Module XAUI Input Lane 3-
66 GND I Supply Electrical Ground
67 Reserved - AC Reserved
68 Reserved - AC Reserved
69 GND I Supply Electrical Ground
70 GND I Supply Electrical Ground
7. BO33J13210D
X2 10G 1310nm 10KM
RoHS Compliant Optical Transceiver
- 7 -
0x0004 PMA/PMD Speed Ability PCS Speed Ability PHY XS Speed
Ability
0x0005 PMA/PMD Device in Package1 PCS Device in
Package1
PHY XS Device in
Package1
0x0006 PMA/PMD Device in Package2 PCS Device in
Package2
PHY XS Device in
Package2
0x0007 10G PMA/PMD Control2 PCS Control2 Reserved
0x0008 10G PMA/PMD Status2 PCS Status2 PHY XS Status2
0x0009 Reserved Reserved Reserved
0x000A Reserved Reserved Reserved
0x000E Reserved Reserved Reserved
0x000F Reserved Reserved Reserved
0x0018 Reserved
Reserved 10G PHY XGXS Lane
Status
0x0019 Reserved Reserved 10G PHY XGXS Test
Control
0x0020
Reserved
10GBASE-R PCS
Status1
Reserved
0x0021 Reserved
10GBASE-R PCS
Status2
Reserved
0x0022
Reserved
10GBASE-R PCS
Test pattern Seed A0
Reserved
0x0023 Reserved 10GBASE-R PCS
Test pattern Seed A1
Reserved
0x0024 Reserved 10GBASE-R PCS
Test pattern Seed A2
Reserved
0x0025
Reserved
10GBASE-R PCS
Test pattern Seed A3
Reserved
0x0026
Reserved
10GBASE-R PCS
Test pattern Seed B0
Reserved
0x0027
Reserved
10GBASE-R PCS
Test pattern Seed B1
Reserved
0x0028 Reserved 10GBASE-R PCS
Test pattern Seed B2
Reserved
0x0029
Reserved
10GBASE-R PCS
Test pattern Seed B3
Reserved
0x002A
Reserved
10GBASE-R PCS
Test pattern Control
Reserved
0x002B
Reserved
10GBASE-R PCS
Test pattern Error
counter
Reserved
0x8000 NVR Control/Status (XENPAK
Register)
Reserved
0x8007 -
0x807D
NVR (XENPAK Register)
Reserved
0x807E-
0x80AD Customer AREA
Reserved
0x80AE - Vendor Specific Reserved
8. BO33J13210D
X2 10G 1310nm 10KM
RoHS Compliant Optical Transceiver
- 8 -
0x8106
0x9000 RX_ALARM Control (XENPAK
Register)
Reserved
0x9001 TX_ALARM Control (XENPAK
Register)
Reserved
0x9002 LASI Control (XENPAK Register) Reserved
0x9003 RX_ALARM Status (XENPAK
Register)
Reserved
0x9004 TX_ALARM Status (XENPAK
Register)
Reserved
0x9005 LASI Status (XENPAK Register) Reserved
0x9006 TX_FLAG Control Bits Reserved
0x9007 RX_FLAG Control Bits Reserved
0xA000 -
0xA027
Alarm and Warning Thresholds
Reserved
0xA060 -
0xA069
Digital Optical Monitoring
Interface
Reserved
0xA06F DOM Capability - Extended Reserved
0xA070 TX_ALARM_FLAG Bits Reserved
0xA071 RX_ALARM_FLAG Bits Reserved
0xA074 TX_WARNING_FLAG Bits Reserved
0xA075 RX_WARNING_FLAG Bits Reserved
0xA100 Optional Digital Optical
Monitoring (DOM)
Control/Status
Reserved
9. Digital Diagnostics / Digital Optical Monitoring
The transceiver provides serial ID memory contents and diagnostic information about the present
operating conditions by the 2-wire serial interface (SCL, SDA).
The diagnostic information with internal calibration or external calibration are all implemented,
including received power monitoring, transmitted power monitoring, bias current monitoring, supply
voltage monitoring and temperature monitoring.