About Caching
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Caching is used to optimize performance by taking advantage of different access speeds of storage mediums. It stores frequently accessed data in faster storage like memory or disk cache. There are different types of caches like browser cache, server cache using memcached, and cache within a request. Memcached is mainly used for read-through caching but has issues like requiring separate deployment and CAS operations. GroupCache is an alternative that avoids duplicated calls to the backend and has better performance without network IO or CAS. Write-through caching aims to have zero reads from the backend but is challenging to implement transactionally at scale.
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EECI 2013 - ExpressionEngine Performance & Optimization - Laying a Solid Foun...
PostgreSQL High Availability in a Containerized World
PostgreSQL High Availability in a Containerized World
More from Weng Wei
Migrate PHP E-Commerce Site to Go
This document summarizes one company's experience migrating their PHP e-commerce site to the Go programming language. It discusses how they initially rewrote their catalog page in AngularJS and Go, but ran into issues with Facebook OpenGraph integration. For their second release, they decided on a hybrid PHP and Go approach, with Go used to power specific backend modules like caching and shopping cart functionality. The author reflects on lessons learned around thoroughly evaluating new technologies before deploying them and making sure any changes have team consensus.
Metaprogramming Go
Illustrate different scenarios of using Metaprogramming Go with actual example; using py for quite PoC. Opening talk for PyCon 2014 China.
Why use Go for web development?
This document discusses the suitability of Go for web development. It notes that while Go's built-in HTML template engine is basic, the Gorazor template engine provides a more powerful way to mix Go code into HTML templates. Code generation approaches also allow Go to behave more dynamically at runtime. Go's fast compilation and use of interfaces make it well-suited for dynamic web applications and large websites. The document concludes that while other languages may be more mature, Go is suitable for developing large, stable, scalable websites that need to be maintained over time.
Go for web
1. Go is a programming language designed by Google to help solve Google's "big problems".
2. Go provides garbage collection, concurrency features, and static typing for building scalable and reliable systems.
3. Go can be used to build web applications and services using the net/http package for HTTP servers and clients.
Python to go
The author explains why they switched from primarily using Python to primarily using Go for serious projects. Some key reasons include that Go has better performance, code quality, testing, and concurrency features compared to Python. While Python is still good for hobby projects, Go enforces error handling, has built-in profiling tools, and makes deployment easier due to compiling to a single binary.
A byte of git
This document discusses the key concepts and advantages of using Git over Subversion (SVN) for version control. It notes that while Git has a steeper learning curve due to its distributed and nonlinear model, it offers benefits like faster and easier branching, merging, and deployment. The document demonstrates several Git commands and techniques through examples, such as staging changes, amending commits, rebasing branches, and using Git for deployment to Heroku. It also addresses access control and GUI options for Git.
My understanding of Git
This document provides an overview of git and compares it to SVN (Subversion). It notes that git was initially created by Linus Torvalds for Linux kernel development. It highlights key differences between git and SVN such as git being distributed while SVN is centralized, and git tracking the repository while SVN tracks files/folders. The document emphasizes that understanding git requires unlearning how SVN works. It provides some links to additional resources on git.
Sharding
Sharding is a technique for scaling databases by partitioning data across multiple database servers or nodes. There are different ways to implement sharding such as sharding on the primary key or an index in a relational database. For key-value stores, a common approach is to hash the key and assign it to a node using consistent hashing. While sharding improves scalability, it also introduces some limitations like not being able to perform joins across shards and additional work required for data maintenance.
Inside Zend Framework
The document discusses the inner workings of Zend Framework, including its use of .htaccess and index.php files to bootstrap the application. It describes how Zend/Application/Bootstrap/BootstrapAbstract.php and application-specific bootstrap files are used to initialize the application. The front controller pattern is implemented using Zend/Application/Resource/Frontcontroller.php. Routing is handled by Zend/Controller/Router modules which dispatch requests to controllers and actions. While the framework aims to be simple through convention over configuration, it can also be complex under the hood. Zend Framework 2 refactored some components, such as the database adapter, for improved architecture.
More from Weng Wei (14)
Recently uploaded
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Recently uploaded (20)
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
About Caching
- 1. About Caching Weng Wei, Dec 2014
- 2. Purpose of Caching • Different accessing speed of different medium • In-Process > Memory > Network > Disk • Cache for Performance Optimization
- 3. Web Page Cache • Browser Cache • etag / lastmodified / max-age • Server Cache • memcached: Full page/pagelet cache • Donut Cache: Layout cache
- 4. memcached
- 7. memcached issues • Deployment • modifying nodes in cluster • Duplicated call to backend when cache miss on multiple client • Performance • Network latency • Memory slot • CAS: check and save • Mainly used for Read-through cache
- 8. GroupCache • https://github.com/golang/groupcache • No separated deployment required • singleflight builtin: avoid duplicated call to backend • Better performance • No network IO • No CAS • Go 1.4 Continuous Stack: fix memslot issue
- 9. Write Though
- 10. • Ideally • ZERO read to backend • Only write • Data warm up + complete write-through cache
- 11. Complete Write-Through • Available API for application？ • Can support SQL？ • select * from users where sex = ‘f’ order by createAt limit 10, 10
- 12. Implementation Examples • https://github.com/nkallen/cache-money • https://github.com/Wuvist/pysonic
- 14. –Phil Karlton “There are only two hard things in Computer Science: cache invalidation and naming things.”
- 15. • Easy to implement『eventual consistency』 • Atomic：Distributed transaction is difficult • Paxos • System provision is more difficult • http://en.wikipedia.org/wiki/Queueing_theory
- 16. Which is faster?
- 17. proper stress test to confirm!
- 18. Connection Pool • Pool is also a kind of “cache” • Database connection pool • Application connection pool • php FPM / rails unicorn
- 19. How to release connection？ MRU or LRU？
- 20. Multiple Facebook teams spent two years https://code.facebook.com/posts/1499322996995183/solving-the-mystery-of-link- imbalance-a-metastable-failure-state-at-scale/
- 21. Q & A