Detecting Memory Leaks in Android App
Download as pptx, pdf1 like478 views
The document discusses memory leaks in Android, defining them as the failure to release memory that a program temporarily uses. It highlights the use of the Eclipse Memory Analyzer Tool (MAT) to detect and analyze memory leaks and high memory usage in Java applications. It also mentions common causes of memory leaks and provides links to additional resources.
1 of 10
Download to read offline
Ad
Recommended
Memory leak
Memory leakAnandraj Kulkarni This document discusses memory leaks in Java. It provides an overview of the Java heap and generations. A memory leak occurs when objects are not removed from the heap even when no longer needed. Symptoms include frequent full garbage collections and a decreasing free heap over time. Tools like GCViewer and JProfiler can analyze garbage collection logs and heap usage to troubleshoot leaks. Best practices to avoid leaks include monitoring heap usage, freeing unnecessary objects, closing connections, and limiting session data.
Memory Leak In java
Memory Leak In javaMindfire Solutions This document discusses memory leaks in Java. It begins with an introduction explaining that in Java, memory is automatically allocated by the JVM for new objects but unused objects may not be garbage collected, causing a memory leak. The document then outlines symptoms of memory leaks like increasing memory usage and decreasing performance. It discusses tools for detecting leaks and provides tips for preventing leaks such as avoiding string concatenation, unnecessary object creation, and properly closing resources. The document concludes with a question and answer section.
Memory Leaks in Android Applications
Memory Leaks in Android ApplicationsLokesh Ponnada This document discusses memory management in Android apps, addressing memory leaks and garbage collection methods, including tracing and reference counting collectors. It highlights various causes of memory leaks, such as static references and improper context handling, along with techniques for detecting and fixing these issues, including using tools like Eclipse MAT and Leak Canary. Best practices for managing memory effectively in Android development are also provided.
Identifying memory leaks in Android applications
Identifying memory leaks in Android applicationsZachary Blair The document discusses memory leak identification in Android applications, emphasizing that Java's garbage collection alone does not prevent memory leaks. It outlines steps for detecting and analyzing memory leaks using tools like DDMS and Eclipse Memory Analyzer, and highlights common sources such as lists and maps retaining object references. The document concludes with strategies for fixing memory leaks, including using weak references and closing open streams.
Android Performance Best Practices
Android Performance Best Practices Amgad Muhammad The document provides best practices for optimizing Android app performance related to memory management. It discusses how Android manages memory using paging and memory mapping. It also outlines several things app developers should do to manage memory efficiently in their apps, such as releasing memory when the UI is hidden, using services sparingly, and releasing resources as overall device memory becomes tight. The document provides examples and explanations for each recommendation to help developers understand how to optimize their app's memory usage.
10 ways to improve your Android app performance
10 ways to improve your Android app performanceBoris Farber The document provides 10 tips to improve Android apps:
1. Avoid activity leaks by removing references to activities and using event buses instead of static references.
2. Be careful of inner class leaks and use weak references for handlers.
3. Only perform UI work on the UI thread and use libraries for network, images, JSON, and databases.
4. Consider using libraries for common tasks like HTTP requests, image loading, and JSON parsing to avoid reinventing the wheel.
WPSDK 7.1.1
WPSDK 7.1.1Matt Lacey The document discusses the WP SDK v7.1.1, which focuses on optimizing apps for low memory devices like the Lumia 610. It provides code samples for detecting available memory and opting an app out of certain markets with low memory devices. The SDK also includes a new emulator but does not include a new OS or generic background agents.
Android - Preventing common memory leaks
Android - Preventing common memory leaksAli Muzaffar The document discusses common causes of and solutions to memory leaks in Android applications. It covers issues related to using the correct Context, holding references to activities from outside their scope, non-static inner classes holding implicit references to their outer class, threads not being garbage collected, and forgetting to recycle bitmaps. The key recommendations are to always use Application Context when possible, avoid leaking references between scopes, make handlers and inner classes static when possible, implement cancellation for threads, and properly recycle bitmaps.
Memory management for_android_apps
Memory management for_android_appsBin Shao - Memory management for Android apps has changed with Gingerbread and Honeycomb, increasing heap sizes and improving garbage collection to reduce pauses
- Understanding log messages and using heap dumps can help debug memory issues like leaks caused by lingering references to activities or contexts
- The Eclipse Memory Analyzer tool allows inspection of heap dumps to identify dominator trees and retained objects causing leaks
Using and Extending Memory Analyzer into Uncharted Waters
Using and Extending Memory Analyzer into Uncharted WatersVladimir Pavlov The document discusses the Eclipse Memory Analyzer (MAT), a tool for detecting memory leaks and optimizing memory usage in Java applications. It describes the capabilities of MAT, including its extensibility through plugins and integration with JRuby for enhanced functionality in Android app development. Key features include automatic problem recognition and a variety of extension points for customizing the analysis process.
Effective memory management
Effective memory managementYurii Kotov The document discusses Android memory management and how to avoid memory leaks and OutOfMemoryErrors. It covers topics like Android's memory regions, garbage collection, detecting and avoiding memory leaks, and tools for analyzing memory usage like adb, Android Monitor, Eclipse MAT, and LeakCanary. The document provides tips for avoiding memory leaks such as not keeping long-lived references, using soft/weak references, avoiding unnecessary objects, and implementing onTrimMemory callbacks. It also discusses how to avoid OutOfMemoryErrors by using bitmaps efficiently, sending large files in chunks, checking available heap, and optimizing external library usage.
Effective memory management
Effective memory managementDenis Zhuchinski The document discusses Android memory management and how to avoid memory leaks and OutOfMemoryErrors. It covers topics like application memory restrictions, process priority, garbage collection in Dalvik and ART, detecting and avoiding memory leaks, and tools for analyzing memory usage like adb, Android Monitor, Eclipse MAT, and LeakCanary. The document provides tips on how to avoid memory leaks such as not keeping long-lived references and implementing cancellation policies, and how to avoid OutOfMemoryErrors such as using bitmaps efficiently, recycling bitmaps, avoiding unnecessary object creation, and coordinating with the system using onTrimMemory().
Tuning Android Applications (Part One)
Tuning Android Applications (Part One)CommonsWare This document discusses tools for tuning Android applications for performance and memory usage. It covers Traceview for analyzing CPU usage and finding hot spots, and MAT (Memory Analyzer Tool) for analyzing heap dumps to find memory leaks and see where memory is being used. It provides instructions on collecting trace and heap data, loading the tools, and techniques for analyzing the data to identify problems.
EclipseMAT
EclipseMATAli Bahu Eclipse Memory Analyzer Tool (MAT) helps visualize Java heap dumps to identify potential memory leaks and reduce memory consumption. It can quickly analyze heap dumps containing hundreds of millions of objects to calculate object retention sizes, check what is preventing garbage collection, and generate a leak suspects report. The documentation provides instructions on installing MAT and using it to analyze a heap dump created by adding -XX:+HeapDumpOnOutOfMemoryError when running a sample project designed to cause an OutOfMemoryError.
Memory management
Memory managementmitesh_sharma This document discusses memory related issues in Android applications. It explains that each app runs in a separate process with limited memory based on the device. If an app demands more memory than the limit, it will crash. Memory leaks and handling large bitmaps can also cause issues. Tools like logcat, MAT, and adb commands can help debug memory problems by analyzing heap dumps and tracking allocations over time.
"Avoiding memory leaks in Android" Денис Жучинский
"Avoiding memory leaks in Android" Денис ЖучинскийFwdays The document discusses memory management in Android, focusing on avoiding memory leaks and OutOfMemoryErrors. It covers concepts like garbage collection, memory areas, tools for monitoring memory usage, and best practices to prevent memory leaks. Key recommendations include using weak references, recycling bitmaps, and being mindful of static references and long-lived objects.
Eclipse Memory Analyzer Tool
Eclipse Memory Analyzer Toollittleeye This document discusses Eclipse Memory Analyzer (MAT), a tool for analyzing memory usage in Android applications. It begins with an overview of MAT and why memory analysis is important for identifying leaks and reducing memory footprint in apps. Key MAT features are demonstrated, including viewing dominator trees, inspecting object fields and collections, class histograms, and grouping by value. The document also covers generating heap dumps from Android devices and investigating object retention paths to find leaks.
Memory Analyzer Tool (MAT)
Memory Analyzer Tool (MAT) Samiullah Farooqui The document details a memory analyzer tool presented by Mohammad Samiullah Farooqui, covering essential concepts of memory analysis, such as heap dumps, shallow and retained heaps, and memory leak identification methods. It outlines how to analyze memory leaks by examining the dominator tree and provides specific strategies to optimize memory usage. Additionally, it includes resources for further learning on memory analysis techniques.
Android Memory , Where is all My RAM
Android Memory , Where is all My RAM Yossi Elkrief This document discusses Android memory management. It explains that Android does not have swap space and relies on garbage collection. It describes the different memory regions in Android including the Java heap, native heap, and ashmem. It provides tips on increasing heap size, viewing heap updates, and how Android manages memory through processes. It also covers topics like memory leaks, references, and tools for analyzing memory usage.
TechGIG_Memory leaks in_java_webnair_26th_july_2012
TechGIG_Memory leaks in_java_webnair_26th_july_2012Ashish Bhasin Memory leaks in Java can occur due to objects remaining reachable even when no longer needed. The four main causes are unknown references, long-living objects, failure to clean up native resources, and bugs. To detect leaks, one can use verbose GC logging, monitor the Java process, dump the heap to analyze which objects are retaining others, and use profiling tools. Profiling works by insertion of code, sampling, or instrumenting the virtual machine and helps identify where time is being spent and what objects are being allocated.
ACADGILD:: ANDROID LESSON-How to analyze & manage memory on android like ...
ACADGILD:: ANDROID LESSON-How to analyze & manage memory on android like ...Padma shree. T This document discusses memory management in Android, highlighting how developers can analyze and optimize memory usage using tools like the Dalvik Debug Monitor Service (DDMS) and profiling techniques. It explains the importance of avoiding memory leaks by managing context references properly and provides step-by-step guidance for using allocation tracking and heap dumps to identify memory issues. Additionally, it outlines practical examples for detecting and resolving memory leaks in Android applications.
Ps ts 4118-304118_230-1_fin_v1
Ps ts 4118-304118_230-1_fin_v1AJohnson1 This document outlines techniques for analyzing common memory-related problems in Java applications using heap dumps and the Memory Analyzer tool. It discusses how to analyze memory leaks by finding the largest objects and determining what keeps them in memory. Heavy requests are analyzed by inspecting thread attributes and stack traces. Reducing memory footprint involves finding inefficient data structures and redundant data. Non-heap memory issues can be caused by too many interned strings or class loaders that are not released properly. The presentation demonstrates these analysis methods on real heap dumps and emphasizes that heap dumps and Memory Analyzer can automate much of the memory investigation process.
Catch Leak If You Can
Catch Leak If You CanPaulina Szklarska This document discusses memory leaks in Android applications. It defines a memory leak as when objects are created but not deleted from memory even when they are no longer needed. It recommends using the Android Monitor tool to detect leaks by monitoring heap usage over time. Potential causes of leaks discussed include holding static references to activities or views, inner classes that outlive their outer class, anonymous classes, RxJava, and failing to unregister system service listeners. Methods for detecting and preventing leaks include using the Android Monitor, Heap Viewer, and Memory Analyzer tools, ensuring references are cleared properly, and using weak/soft references when appropriate.
Practical lessons in memory analysis
Practical lessons in memory analysisAJohnson1 This document summarizes a presentation on practical lessons for memory analysis. It discusses analyzing memory leaks, heavy requests, and reducing memory footprint. It also covers non-heap memory issues like class loader leaks. The presentation demonstrates analyzing heap dumps with Memory Analyzer to find the largest objects, track object retention, find redundant objects, and analyze class loader leaks. The goal is to provide tips for solving common memory problems using heap analysis tools.
Sporar
Sporaroscon2007 The document discusses different tools for finding memory leaks in Java applications. It summarizes the types of tools as inspecting the heap and using instrumentation. Inspecting the heap allows seeing relationships between objects but provides no information on how they got there, while instrumentation identifies objects that may cause leaks but does not show relationships and introduces overhead. The document recommends using both categories of tools and provides examples of profiling tools and case studies of memory leaks discovered.
A topology of memory leaks on the JVM
A topology of memory leaks on the JVMRafael Winterhalter The document discusses various memory leak types in the Java Virtual Machine (JVM), including heap leaks, perm gen leaks, and issues arising from unsafe memory allocations. It provides symptoms of memory leaks, typical causes, and illustrates how different Java features, such as lambdas and inner classes, can contribute to leaks. Debugging tools and strategies for identifying and resolving memory leaks in Java applications are also mentioned.
Memory Leak Analysis in Android Games
Memory Leak Analysis in Android GamesHeghine Hakobyan The document discusses the importance of memory leak analysis in Android games, highlighting issues like low FPS and frequent freezes caused by memory allocation problems. It emphasizes the need for improved performance and provides a solution of object pooling to reduce the number of active soldier objects in a game. Tools such as heap dumps and garbage collection analysis are recommended for monitoring and optimizing memory usage.
Memory problems in android programming
Memory problems in android programmingAiTi Education The document discusses memory problems in Android programming, with a focus on bitmaps and memory leaks. It covers:
1) Why memory is limited on Android devices and issues with bitmaps.
2) An overview of how bitmaps work in Android and tips for efficient usage.
3) Types of memory leaks, methods for detecting leaks, and solutions, using code examples to demonstrate leaks related to contexts and handlers.
Rierino Commerce Platform - CMS Solution
Rierino Commerce Platform - CMS SolutionRierino Supercharge content management with Rierino Headless CMS
Zoneranker’s Digital marketing solutions
Zoneranker’s Digital marketing solutionsreenashriee Zoneranker offers expert digital marketing services tailored for businesses in Theni. From SEO and PPC to social media and content marketing, we help you grow online. Partner with us to boost visibility, leads, and sales.
More Related Content
Similar to Detecting Memory Leaks in Android App (20)
Memory management for_android_apps
Memory management for_android_appsBin Shao - Memory management for Android apps has changed with Gingerbread and Honeycomb, increasing heap sizes and improving garbage collection to reduce pauses
- Understanding log messages and using heap dumps can help debug memory issues like leaks caused by lingering references to activities or contexts
- The Eclipse Memory Analyzer tool allows inspection of heap dumps to identify dominator trees and retained objects causing leaks
Using and Extending Memory Analyzer into Uncharted Waters
Using and Extending Memory Analyzer into Uncharted WatersVladimir Pavlov The document discusses the Eclipse Memory Analyzer (MAT), a tool for detecting memory leaks and optimizing memory usage in Java applications. It describes the capabilities of MAT, including its extensibility through plugins and integration with JRuby for enhanced functionality in Android app development. Key features include automatic problem recognition and a variety of extension points for customizing the analysis process.
Effective memory management
Effective memory managementYurii Kotov The document discusses Android memory management and how to avoid memory leaks and OutOfMemoryErrors. It covers topics like Android's memory regions, garbage collection, detecting and avoiding memory leaks, and tools for analyzing memory usage like adb, Android Monitor, Eclipse MAT, and LeakCanary. The document provides tips for avoiding memory leaks such as not keeping long-lived references, using soft/weak references, avoiding unnecessary objects, and implementing onTrimMemory callbacks. It also discusses how to avoid OutOfMemoryErrors by using bitmaps efficiently, sending large files in chunks, checking available heap, and optimizing external library usage.
Effective memory management
Effective memory managementDenis Zhuchinski The document discusses Android memory management and how to avoid memory leaks and OutOfMemoryErrors. It covers topics like application memory restrictions, process priority, garbage collection in Dalvik and ART, detecting and avoiding memory leaks, and tools for analyzing memory usage like adb, Android Monitor, Eclipse MAT, and LeakCanary. The document provides tips on how to avoid memory leaks such as not keeping long-lived references and implementing cancellation policies, and how to avoid OutOfMemoryErrors such as using bitmaps efficiently, recycling bitmaps, avoiding unnecessary object creation, and coordinating with the system using onTrimMemory().
Tuning Android Applications (Part One)
Tuning Android Applications (Part One)CommonsWare This document discusses tools for tuning Android applications for performance and memory usage. It covers Traceview for analyzing CPU usage and finding hot spots, and MAT (Memory Analyzer Tool) for analyzing heap dumps to find memory leaks and see where memory is being used. It provides instructions on collecting trace and heap data, loading the tools, and techniques for analyzing the data to identify problems.
EclipseMAT
EclipseMATAli Bahu Eclipse Memory Analyzer Tool (MAT) helps visualize Java heap dumps to identify potential memory leaks and reduce memory consumption. It can quickly analyze heap dumps containing hundreds of millions of objects to calculate object retention sizes, check what is preventing garbage collection, and generate a leak suspects report. The documentation provides instructions on installing MAT and using it to analyze a heap dump created by adding -XX:+HeapDumpOnOutOfMemoryError when running a sample project designed to cause an OutOfMemoryError.
Memory management
Memory managementmitesh_sharma This document discusses memory related issues in Android applications. It explains that each app runs in a separate process with limited memory based on the device. If an app demands more memory than the limit, it will crash. Memory leaks and handling large bitmaps can also cause issues. Tools like logcat, MAT, and adb commands can help debug memory problems by analyzing heap dumps and tracking allocations over time.
"Avoiding memory leaks in Android" Денис Жучинский
"Avoiding memory leaks in Android" Денис ЖучинскийFwdays The document discusses memory management in Android, focusing on avoiding memory leaks and OutOfMemoryErrors. It covers concepts like garbage collection, memory areas, tools for monitoring memory usage, and best practices to prevent memory leaks. Key recommendations include using weak references, recycling bitmaps, and being mindful of static references and long-lived objects.
Eclipse Memory Analyzer Tool
Eclipse Memory Analyzer Toollittleeye This document discusses Eclipse Memory Analyzer (MAT), a tool for analyzing memory usage in Android applications. It begins with an overview of MAT and why memory analysis is important for identifying leaks and reducing memory footprint in apps. Key MAT features are demonstrated, including viewing dominator trees, inspecting object fields and collections, class histograms, and grouping by value. The document also covers generating heap dumps from Android devices and investigating object retention paths to find leaks.
Memory Analyzer Tool (MAT)
Memory Analyzer Tool (MAT) Samiullah Farooqui The document details a memory analyzer tool presented by Mohammad Samiullah Farooqui, covering essential concepts of memory analysis, such as heap dumps, shallow and retained heaps, and memory leak identification methods. It outlines how to analyze memory leaks by examining the dominator tree and provides specific strategies to optimize memory usage. Additionally, it includes resources for further learning on memory analysis techniques.
Android Memory , Where is all My RAM
Android Memory , Where is all My RAM Yossi Elkrief This document discusses Android memory management. It explains that Android does not have swap space and relies on garbage collection. It describes the different memory regions in Android including the Java heap, native heap, and ashmem. It provides tips on increasing heap size, viewing heap updates, and how Android manages memory through processes. It also covers topics like memory leaks, references, and tools for analyzing memory usage.
TechGIG_Memory leaks in_java_webnair_26th_july_2012
TechGIG_Memory leaks in_java_webnair_26th_july_2012Ashish Bhasin Memory leaks in Java can occur due to objects remaining reachable even when no longer needed. The four main causes are unknown references, long-living objects, failure to clean up native resources, and bugs. To detect leaks, one can use verbose GC logging, monitor the Java process, dump the heap to analyze which objects are retaining others, and use profiling tools. Profiling works by insertion of code, sampling, or instrumenting the virtual machine and helps identify where time is being spent and what objects are being allocated.
ACADGILD:: ANDROID LESSON-How to analyze & manage memory on android like ...
ACADGILD:: ANDROID LESSON-How to analyze & manage memory on android like ...Padma shree. T This document discusses memory management in Android, highlighting how developers can analyze and optimize memory usage using tools like the Dalvik Debug Monitor Service (DDMS) and profiling techniques. It explains the importance of avoiding memory leaks by managing context references properly and provides step-by-step guidance for using allocation tracking and heap dumps to identify memory issues. Additionally, it outlines practical examples for detecting and resolving memory leaks in Android applications.
Ps ts 4118-304118_230-1_fin_v1
Ps ts 4118-304118_230-1_fin_v1AJohnson1 This document outlines techniques for analyzing common memory-related problems in Java applications using heap dumps and the Memory Analyzer tool. It discusses how to analyze memory leaks by finding the largest objects and determining what keeps them in memory. Heavy requests are analyzed by inspecting thread attributes and stack traces. Reducing memory footprint involves finding inefficient data structures and redundant data. Non-heap memory issues can be caused by too many interned strings or class loaders that are not released properly. The presentation demonstrates these analysis methods on real heap dumps and emphasizes that heap dumps and Memory Analyzer can automate much of the memory investigation process.
Catch Leak If You Can
Catch Leak If You CanPaulina Szklarska This document discusses memory leaks in Android applications. It defines a memory leak as when objects are created but not deleted from memory even when they are no longer needed. It recommends using the Android Monitor tool to detect leaks by monitoring heap usage over time. Potential causes of leaks discussed include holding static references to activities or views, inner classes that outlive their outer class, anonymous classes, RxJava, and failing to unregister system service listeners. Methods for detecting and preventing leaks include using the Android Monitor, Heap Viewer, and Memory Analyzer tools, ensuring references are cleared properly, and using weak/soft references when appropriate.
Practical lessons in memory analysis
Practical lessons in memory analysisAJohnson1 This document summarizes a presentation on practical lessons for memory analysis. It discusses analyzing memory leaks, heavy requests, and reducing memory footprint. It also covers non-heap memory issues like class loader leaks. The presentation demonstrates analyzing heap dumps with Memory Analyzer to find the largest objects, track object retention, find redundant objects, and analyze class loader leaks. The goal is to provide tips for solving common memory problems using heap analysis tools.
Sporar
Sporaroscon2007 The document discusses different tools for finding memory leaks in Java applications. It summarizes the types of tools as inspecting the heap and using instrumentation. Inspecting the heap allows seeing relationships between objects but provides no information on how they got there, while instrumentation identifies objects that may cause leaks but does not show relationships and introduces overhead. The document recommends using both categories of tools and provides examples of profiling tools and case studies of memory leaks discovered.
A topology of memory leaks on the JVM
A topology of memory leaks on the JVMRafael Winterhalter The document discusses various memory leak types in the Java Virtual Machine (JVM), including heap leaks, perm gen leaks, and issues arising from unsafe memory allocations. It provides symptoms of memory leaks, typical causes, and illustrates how different Java features, such as lambdas and inner classes, can contribute to leaks. Debugging tools and strategies for identifying and resolving memory leaks in Java applications are also mentioned.
Memory Leak Analysis in Android Games
Memory Leak Analysis in Android GamesHeghine Hakobyan The document discusses the importance of memory leak analysis in Android games, highlighting issues like low FPS and frequent freezes caused by memory allocation problems. It emphasizes the need for improved performance and provides a solution of object pooling to reduce the number of active soldier objects in a game. Tools such as heap dumps and garbage collection analysis are recommended for monitoring and optimizing memory usage.
Memory problems in android programming
Memory problems in android programmingAiTi Education The document discusses memory problems in Android programming, with a focus on bitmaps and memory leaks. It covers:
1) Why memory is limited on Android devices and issues with bitmaps.
2) An overview of how bitmaps work in Android and tips for efficient usage.
3) Types of memory leaks, methods for detecting leaks, and solutions, using code examples to demonstrate leaks related to contexts and handlers.
Recently uploaded (20)
Rierino Commerce Platform - CMS Solution
Rierino Commerce Platform - CMS SolutionRierino Supercharge content management with Rierino Headless CMS
Zoneranker’s Digital marketing solutions
Zoneranker’s Digital marketing solutionsreenashriee Zoneranker offers expert digital marketing services tailored for businesses in Theni. From SEO and PPC to social media and content marketing, we help you grow online. Partner with us to boost visibility, leads, and sales.
Porting Qt 5 QML Modules to Qt 6 Webinar
Porting Qt 5 QML Modules to Qt 6 WebinarICS Have you upgraded your application from Qt 5 to Qt 6? If so, your QML modules might still be stuck in the old Qt 5 style—technically compatible, but far from optimal. Qt 6 introduces a modernized approach to QML modules that offers better integration with CMake, enhanced maintainability, and significant productivity gains.
In this webinar, we’ll walk you through the benefits of adopting Qt 6 style QML modules and show you how to make the transition. You'll learn how to leverage the new module system to reduce boilerplate, simplify builds, and modernize your application architecture. Whether you're planning a full migration or just exploring what's new, this session will help you get the most out of your move to Qt 6.
MOVIE RECOMMENDATION SYSTEM, UDUMULA GOPI REDDY, Y24MC13085.pptx
MOVIE RECOMMENDATION SYSTEM, UDUMULA GOPI REDDY, Y24MC13085.pptxMaharshi Mallela Movie recommendation system is a software application or algorithm designed to suggest movies to users based on their preferences, viewing history, or other relevant factors. The primary goal of such a system is to enhance user experience by providing personalized and relevant movie suggestions.
Software Testing & it’s types (DevOps)
Software Testing & it’s types (DevOps)S Pranav (Deepu) NTRODUCTION TO SOFTWARE TESTING
• Definition:
• Software testing is the process of evaluating and
verifying that a software application or system meets
specified requirements and functions correctly.
• Purpose:
• Identify defects and bugs in the software.
• Ensure the software meets quality standards.
• Validate that the software performs as intended in
various scenarios.
• Importance:
• Reduces risks associated with software failures.
• Improves user satisfaction and trust in the product.
• Enhances the overall reliability and performance of
the software
Automated Migration of ESRI Geodatabases Using XML Control Files and FME
Automated Migration of ESRI Geodatabases Using XML Control Files and FMESafe Software Efficient data migration is a critical challenge in geospatial data management, especially when working with complex data structures. This presentation explores an automated approach to migrating ESRI Geodatabases using FME and XML-based control files. A key advantage of this method is its adaptability: changes to the data model are seamlessly incorporated into the migration process without requiring modifications to the underlying FME workflow. By separating data model definitions from migration logic, this approach ensures flexibility, reduces maintenance effort, and enhances scalability.
Meet You in the Middle: 1000x Performance for Parquet Queries on PB-Scale Dat...
Meet You in the Middle: 1000x Performance for Parquet Queries on PB-Scale Dat...Alluxio, Inc. Alluxio Webinar
June 10, 2025
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
David Zhu (Engineering Manager @ Alluxio)
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
How to Choose the Right Web Development Agency.pdf
How to Choose the Right Web Development Agency.pdfCreative Fosters Choosing the right web development agency is key to building a powerful online presence. This detailed guide from Creative Fosters helps you evaluate agencies based on experience, portfolio, technical skills, communication, and post-launch support. Whether you're launching a new site or revamping an old one, these expert tips will ensure you find a reliable team that understands your vision and delivers results. Avoid common mistakes and partner with an agency that aligns with your goals and budget.
Shell Skill Tree - LabEx Certification (LabEx)
Shell Skill Tree - LabEx Certification (LabEx)VICTOR MAESTRE RAMIREZ Shell Skill Tree - LabEx Certification (LabEx)
Emvigo Capability Deck 2025: Accelerating Innovation Through Intelligent Soft...
Emvigo Capability Deck 2025: Accelerating Innovation Through Intelligent Soft...Emvigo Technologies Welcome to Emvigo’s Capability Deck for 2025 – a comprehensive overview of how we help businesses launch, scale, and sustain digital success through cutting-edge technology solutions.
With 13+ years of experience and a presence across the UK, UAE, and India, Emvigo is an ISO-certified software company trusted by leading global organizations including the NHS, Verra, London Business School, and George Washington University.
🔧 What We Do
We specialize in:
Rapid MVP development (go from idea to launch in just 4 weeks)
Custom software development
Gen AI applications and AI-as-a-Service (AIaaS)
Enterprise cloud architecture
DevOps, CI/CD, and infrastructure automation
QA and test automation
E-commerce platforms and performance optimization
Digital marketing and analytics integrations
🧠 AI at the Core
Our delivery model is infused with AI – from workflow optimization to proactive risk management. We leverage GenAI, NLP, and ML to make your software smarter, faster, and more secure.
📈 Impact in Numbers
500+ successful projects delivered
200+ web and mobile apps launched
42-month average client engagement
30+ active projects at any time
🌍 Industries We Serve
Fintech
Healthcare
Education (E-Learning)
Sustainability & Compliance
Real Estate
Energy
Customer Experience platforms
⚙️ Flexible Engagement Models
Whether you're looking for dedicated teams, fixed-cost projects, or time-and-materials models, we deliver with agility and transparency.
📢 Why Clients Choose Emvigo
✅ AI-accelerated delivery
✅ Strong focus on long-term partnerships
✅ Highly rated on Clutch and Google Reviews
✅ Proactive and adaptable to change
✅ Fully GDPR-compliant and security-conscious
🔗 Visit: emvigotech.com
📬 Contact: [email protected]
📞 Ready to scale your tech with confidence? Let’s build the future, together.
Reimagining Software Development and DevOps with Agentic AI
Reimagining Software Development and DevOps with Agentic AIMaxim Salnikov Key announcements about Developer Productivity from Microsoft Build 2025
Looking for a BIRT Report Alternative Here’s Why Helical Insight Stands Out.pdf
Looking for a BIRT Report Alternative Here’s Why Helical Insight Stands Out.pdfVarsha Nayak The search for an Alternative to BIRT Reports has intensified as companies face challenges with BIRT's steep learning curve, limited visualization capabilities, and complex deployment requirements. Organizations need reporting solutions that offer intuitive design interfaces, comprehensive analytics features, and seamless integration capabilities – all while maintaining the reliability and performance that enterprise environments demand.
On-Device AI: Is It Time to Go All-In, or Do We Still Need the Cloud?
On-Device AI: Is It Time to Go All-In, or Do We Still Need the Cloud?Hassan Abid As mobile hardware becomes more powerful, the promise of running advanced AI directly on-device is closer than ever. With Google’s latest on-device model Gemini Nano, accessible through the new ML Kit GenAI APIs and AI Edge SDK, alongside the open-source Gemma-3n models, developers can now integrate lightweight, multimodal intelligence that works even without an internet connection. But does this mean we no longer need cloud-based AI? This session explores the practical trade-offs between on-device and cloud AI for mobile apps.
Enable Your Cloud Journey With Microsoft Trusted Partner | IFI Tech
Enable Your Cloud Journey With Microsoft Trusted Partner | IFI TechIFI Techsolutions Start your cloud journey with IFI Tech—Microsoft’s trusted partner delivering secure, scalable Azure solutions tailored for your business.
DevOps for AI: running LLMs in production with Kubernetes and KubeFlow
DevOps for AI: running LLMs in production with Kubernetes and KubeFlowAarno Aukia Presented by Aarno Aukia on June 4th, 2025, at Kubernetes Community Days KCD New York
FME as an Orchestration Tool - Peak of Data & AI 2025
FME as an Orchestration Tool - Peak of Data & AI 2025Safe Software Processing huge amounts of data through FME can have performance consequences, but as an orchestration tool, FME is brilliant! We'll take a look at the principles of data gravity, best practices, pros, cons, tips and tricks. And of course all spiced up with relevant examples!
wAIred_RabobankIgniteSession_12062025.pptx
wAIred_RabobankIgniteSession_12062025.pptxSimonedeGijt In today's world, artificial intelligence (AI) is transforming the way we learn.
This talk will explore how we can use AI tools to enhance our learning experiences, by looking at some (recent) research that has been done on the matter.
But as we embrace these new technologies, we must also ask ourselves:
Are we becoming less capable of thinking for ourselves?
Do these tools make us smarter, or do they risk dulling our critical thinking skills?
This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.
Ad
Detecting Memory Leaks in Android App
- 2. ● What is memory leak? ● Tools : MAT(Eclipse Memory Analyzer) ● How to detect Memory leak in Android
- 3. “App expands to fill the memory available” - From Dinesh Prajapati
- 4. What is Memory Leak? loss of available memory when a program fails to return memory that it has obtained for temporary use A constantly increasing memory usage is not necessarily evidence of a memory leak Garbage Collection Stack vs Heap Memory
- 5. Visual Reference objects but not exactly used Not considered as Unreferenced objects GC can not happen Stays in memory for longer
- 6. MAT The Eclipse Memory Analyser Tooling (MAT) is a set of plug-ins for the Eclipse IDE which provides tools to analyze heap dumps from Java application and to identify memory problems in the application. This helps the developer to find memory leaks and high memory consumption issues. It visualizes the references to objects based on Java heap dumps and provides tools to identify potential memory leaks.
- 7. http://eclipse.org/mat Shallow Heap and Retained Heap Dominator tree Histogram Memory Leaks ● Reference to activity,Context,View,Drawable,... ● Non-static inner class ● Caches
- 8. 12,256 No of questions on stackoverflow.com for memory leaks
- 10. Thanks! Dinesh Prajapati TL, EMS, ICPL