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.
So, you're a developer, but you have never worked with iOS? In this session, Ardeleanu will provide a head start on how to plan, build, debug and release iOS 7 apps. The talk will cover a wide range of topics, including: the App Store ecosystem; the nature of an app; iOS 7's new UI and how to migrate from iOS 6; interface design; dev tools (Xcode – IDE, Simulator, Instruments – docs, etc); design patterns; debugging and optimisation; App Store and ad-hoc distribution; and what makes an app successfully.
So, you're a developer, but you have never worked with iOS? In this session, Ardeleanu will provide a head start on how to plan, build, debug and release iOS 7 apps. The talk will cover a wide range of topics, including: the App Store ecosystem; the nature of an app; iOS 7's new UI and how to migrate from iOS 6; interface design; dev tools (Xcode – IDE, Simulator, Instruments – docs, etc); design patterns; debugging and optimisation; App Store and ad-hoc distribution; and what makes an app successfully.
This document primarily covers micro-optimizations that can improve overall app performance when combined, but it's unlikely that these changes will result in dramatic performance effects. Choosing the right algorithms and data structures should always be your priority, but is outside the scope of this document. You should use the tips in this document as general coding practices that you can incorporate into your habits for general code efficiency.
One of the trickiest problems you'll face when micro-optimizing an Android app is that your app is certain to be running on multiple types of hardware. Different versions of the VM running on different processors running at different speeds. It's not even generally the case that you can simply say "device X is a factor F faster/slower than device Y", and scale your results from one device to others. In particular, measurement on the emulator tells you very little about performance on any device.
To ensure your app performs well across a wide variety of devices, ensure your code is efficient at all levels and aggressively optimize your performance.
LAS16-201: ART JIT in Android N
Speakers: Xueliang Zhong
Date: September 27, 2016
★ Session Description ★
Android runtime (ART) has evolved from an AOT compiler (in Android L & M) to a hybrid mode runtime (in Android N) which combines fast interpreter, JIT compiler and profile guided AOT compiler. In this talk, we’ll take a look at all these important changes in Android N. For example, the design and implementation of JIT, hybrid mode, tooling support, etc. This talk is meant to help Linaro members and developers to have a deeper understanding of ART in Android N, and to help them face the challenges of the new behaviors of Android runtime.
★ Resources ★
Etherpad: pad.linaro.org/p/las16-201
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-201/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
Designing the foundations of an iOS application is important to reduce the cost of maintenance and evolution. In this session we will see some best practices on how to organize iOS apps both from the point of view of the Xcode project and the source code. Based on the typical iOS client/server application, we will see how to structure the layers ranging from the user interface to the netwrok layer.
Slides presented at #Pragma Conference 2013
http://pragmamark.org/eventi/pragma-conference-2013/
http://pragmamark.org/sessioni/pragma-conference-2013-building-ios-app-project-and-architecture/
MySQL Performance Tuning: Top 10 Tips intended for PHP, Ruby and Java developers on performance tuning and optimization of MySQL. We will cover the deadly mistakes to be avoided. We will take real life examples of optimizing application many times. Here is the summary of what we intend to cover:
• Selection of Storage Engine
• Schema Optimization
• Server Tuning
• Hardware Selection and Tuning
• Effective uses of Index, when to use and when not to use.
• Partitions
• Speeding up using Stored Procedures
• Implementing prepared statements?
• Deadly Sins to be avoided
• Performance Tuning and Benchmarking Tools
The new runtime which Google is started implementing as developers view to implement or not which has advantages over the previous Dalvik runtime and more...
Designing better user interfaces sets out to teach interface design by talking through concrete examples: what works, what doesn’t work. A good interface consists of a thousand details done right. This presentation is all about those details.
Designing the foundations of an iOS application is important to reduce the cost of maintenance and evolution. In this session we will see some best practices on how to organize iOS apps both from the point of view of the Xcode project and the source code. Based on the typical iOS client/server application, we will see how to structure the layers ranging from the user interface to the netwrok layer.
iOS for Android Developers (with Swift)David Truxall
As an app developer there is always pressure to understand and be able to address both major platforms. At first blush, coding for iOS seems quite different than for Android, perhaps due to the language differences between Objective-C and Java, and of course there is a different IDE and framework. With the introduction of Swift, this chasm seems much smaller. This talk will map Android and Java functionality to similar concepts in iOS using Swift. We’ll see the similarities and differences, focusing on framework concepts, and migrate a simple Android app to iOS.
Android vs iPhone - Differences in UI Patterns and DesignJeremy Johnson
While using Android over the past couple of weeks i’ve noticed some things when comparing my top apps to iOS. Both iOS and Android, in different cases, choose different UI elements to do different things. I wanted to catalog some of them here.
Overall I’d say that mainstream Android apps have improved over time, and in many cases (Spotify, Evernote, NPR, and Amazon) I liked the Android versions better. Also with design trends moving to blocky designs and flat colors (like Windows 8) - Android looks more modern in a side-by-side comparison to its iOS counterpart.
If anything this shows that there are very few standard patterns that are used 100% of the time on each OS, but there is risk of confusion from someone expecting one thing - like they have an iPad tablet, but an Android phone - and getting different results when switching between devices.
This document primarily covers micro-optimizations that can improve overall app performance when combined, but it's unlikely that these changes will result in dramatic performance effects. Choosing the right algorithms and data structures should always be your priority, but is outside the scope of this document. You should use the tips in this document as general coding practices that you can incorporate into your habits for general code efficiency.
One of the trickiest problems you'll face when micro-optimizing an Android app is that your app is certain to be running on multiple types of hardware. Different versions of the VM running on different processors running at different speeds. It's not even generally the case that you can simply say "device X is a factor F faster/slower than device Y", and scale your results from one device to others. In particular, measurement on the emulator tells you very little about performance on any device.
To ensure your app performs well across a wide variety of devices, ensure your code is efficient at all levels and aggressively optimize your performance.
LAS16-201: ART JIT in Android N
Speakers: Xueliang Zhong
Date: September 27, 2016
★ Session Description ★
Android runtime (ART) has evolved from an AOT compiler (in Android L & M) to a hybrid mode runtime (in Android N) which combines fast interpreter, JIT compiler and profile guided AOT compiler. In this talk, we’ll take a look at all these important changes in Android N. For example, the design and implementation of JIT, hybrid mode, tooling support, etc. This talk is meant to help Linaro members and developers to have a deeper understanding of ART in Android N, and to help them face the challenges of the new behaviors of Android runtime.
★ Resources ★
Etherpad: pad.linaro.org/p/las16-201
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-201/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
Designing the foundations of an iOS application is important to reduce the cost of maintenance and evolution. In this session we will see some best practices on how to organize iOS apps both from the point of view of the Xcode project and the source code. Based on the typical iOS client/server application, we will see how to structure the layers ranging from the user interface to the netwrok layer.
Slides presented at #Pragma Conference 2013
http://pragmamark.org/eventi/pragma-conference-2013/
http://pragmamark.org/sessioni/pragma-conference-2013-building-ios-app-project-and-architecture/
MySQL Performance Tuning: Top 10 Tips intended for PHP, Ruby and Java developers on performance tuning and optimization of MySQL. We will cover the deadly mistakes to be avoided. We will take real life examples of optimizing application many times. Here is the summary of what we intend to cover:
• Selection of Storage Engine
• Schema Optimization
• Server Tuning
• Hardware Selection and Tuning
• Effective uses of Index, when to use and when not to use.
• Partitions
• Speeding up using Stored Procedures
• Implementing prepared statements?
• Deadly Sins to be avoided
• Performance Tuning and Benchmarking Tools
The new runtime which Google is started implementing as developers view to implement or not which has advantages over the previous Dalvik runtime and more...
Designing better user interfaces sets out to teach interface design by talking through concrete examples: what works, what doesn’t work. A good interface consists of a thousand details done right. This presentation is all about those details.
Designing the foundations of an iOS application is important to reduce the cost of maintenance and evolution. In this session we will see some best practices on how to organize iOS apps both from the point of view of the Xcode project and the source code. Based on the typical iOS client/server application, we will see how to structure the layers ranging from the user interface to the netwrok layer.
iOS for Android Developers (with Swift)David Truxall
As an app developer there is always pressure to understand and be able to address both major platforms. At first blush, coding for iOS seems quite different than for Android, perhaps due to the language differences between Objective-C and Java, and of course there is a different IDE and framework. With the introduction of Swift, this chasm seems much smaller. This talk will map Android and Java functionality to similar concepts in iOS using Swift. We’ll see the similarities and differences, focusing on framework concepts, and migrate a simple Android app to iOS.
Android vs iPhone - Differences in UI Patterns and DesignJeremy Johnson
While using Android over the past couple of weeks i’ve noticed some things when comparing my top apps to iOS. Both iOS and Android, in different cases, choose different UI elements to do different things. I wanted to catalog some of them here.
Overall I’d say that mainstream Android apps have improved over time, and in many cases (Spotify, Evernote, NPR, and Amazon) I liked the Android versions better. Also with design trends moving to blocky designs and flat colors (like Windows 8) - Android looks more modern in a side-by-side comparison to its iOS counterpart.
If anything this shows that there are very few standard patterns that are used 100% of the time on each OS, but there is risk of confusion from someone expecting one thing - like they have an iPad tablet, but an Android phone - and getting different results when switching between devices.
DevOops Redux Ken Johnson Chris Gates - AppSec USA 2016Chris Gates
In a follow-up to the duo’s offensive focused talk “DevOops, How I hacked you”, they discuss defensive countermeasures and real experiences in preventing attacks that target flaws in your DevOps environments. In this talk, Chris and Ken describe common ways in which DevOps environments fall prey to malicious actors with a focus on preventative steps. The team will present their recommended approach to hardening for teams using AWS, Continuous Integration, GitHub, and common DevOps tools and processes. More specifically, the following items will be demonstrated:
-AWS Hardening
-AWS Monitoring
-AWS Disaster Recovery
-GitHub Monitoring
-OPINT
-Software Development Practices/Processes
-Secure use of Jenkins/Hudson
-Developer laptop hardening (OS X)
Android Application WebAPI Development TrainingOESF Education
OESF Authorized Training Course official textbook
Course: Android Application WebAPI Development Training
FULL VERSION
Language: English
Contributed by
Created by: Leading Edge Co.,Ltd.
Translated by: ISB Vietnam Co.,Ltd.
[Attention!]
This textbook is licensed under the Creative Commons License BY-NC-SA 4.0. It is prohibited to use this material for commercial use otherwise you are OESF member or OESF education consortium member.
Introduction to java programming. fundamentas. basic programming. java is easy to learn. following this presentation , you can get more knowledge of Java . Elementary level presentation.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• 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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
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/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
