Endurance testing subjects software to high loads over an extended period of time to evaluate how it performs under sustained use. It aims to identify issues like memory leaks, degraded performance, and inappropriate system response times when handling future loads. The testing monitors for problems such as memory leakage, unclosed connections between system layers, slow database connection closes, and response times. While endurance testing provides accurate data on workload handling and performance problems, it risks application/network failures, data loss, heavy resource usage, and component failures.
In-Depth Performance Testing Guide for IT ProfessionalsExpeed Software
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In-Depth Performance Testing Guide for IT ProfessionalsExpeed Software
Discover the essentials of performance testing in the IT sector with our concise guide. Learn about various testing types such as load, stress, endurance, spike, scalability, and volume testing. Understand key performance metrics like response time, throughput, CPU and memory utilization, and error rate. Explore top tools like Apache JMeter, LoadRunner, Gatling, Neoload, and BlazeMeter. Gain insights into best practices for defining objectives, creating realistic scenarios, automating tests, and optimizing performance to ensure user satisfaction, reliability, scalability, and cost efficiency. Ideal for developers, QA engineers, and IT professionals. Visit Expeed Software for more information. https://expeed.com/
BugRaptors Perform performance testing using different types of tools helps determining how fast some aspect of a system performs under a particular workload. It can help different purposes like it demonstrates that the system meets performance criteria in any condition.
Manual Testing tutorials and Interview Questions.pptxPrasanta Sahoo
Learn Manual Testing and appear interviews.
Collection of Interview Questions from Software. We cover SDLC and STLC for Beginners.
Definition and example wise all test methodologies.
Performance Testing And Its Type | Benefits Of Performance TestingKostCare
Performance testing is in general, a testing practice performed to determine how a system performs in terms of responsiveness and stability under a particular workload. It can also serve to investigate, measure, validate or verify other quality attributes of the system, such as scalability, reliability and resource usage.
VTEST- A leading software testing company in India, specializing in comprehensive software testing services, including quality assurance, is based in Pune, India. Our expertise ensures robust and flawless software solutions, making VTEST a trusted choice for businesses seeking top-notch software testing services. Visit www.vtestcorp.com for details.
In this presentation which was delivered to testers in Manchester, I help would-be performance testers to get started in performance testing. Drawing on my experiences as a performance tester and test manager, I explain the principles of performance testing and highlight some of the pitfalls.
Manual Testing Types Used in Software Testingseojayeshts
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STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
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The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
1. ENDURANCE TESTING
Endurance Testing is non-functional type of software testing where a software
is tested with high load extended over a significant amount of time to evaluate
the behavior of software application under sustained use.
Presentation title 1
2. ENDURANCE TESTING
2
GOALS OF ENDURANCE
TESTING
• Memory leaks
• Performance
• System Response Time
• Managing The Future Loads
MONITOR IN ENDURANCE
TESTING
• Test memory leakage
• Test connection closure between the
layer of the system
• Test database connection close
successfully
• Test response time
3. ENDURANCE TESTING
3
ADVANTAGES
• Determine Workload Handling
• Provides accurate data
• Identifies performance problems
• Check Performance Degradation
DISADVANTAGES
• Application and/or Network Failures
• Permanent Data Loss
• High Resource Utilization
• Components Failure
