#github data crawler

[smellslikebot]

"how do I keep my art from being scraped for AI from now on?"

if you post images online, there's no 100% guaranteed way to prevent this, and you can probably assume that there's no need to remove/edit existing content. you might contest this as a matter of data privacy and workers' rights, but you might also be looking for smaller, more immediate actions to take.

...so I made this list! I can't vouch for the effectiveness of all of these, but I wanted to compile as many options as possible so you can decide what's best for you.

Discouraging data scraping and "opting out"

robots.txt - This is a file placed in a website's home directory to "ask" web crawlers not to access certain parts of a site. If you have your own website, you can edit this yourself, or you can check which crawlers a site disallows by adding /robots.txt at the end of the URL. This article has instructions for blocking some bots that scrape data for AI.

HTML metadata - DeviantArt (i know) has proposed the "noai" and "noimageai" meta tags for opting images out of machine learning datasets, while Mojeek proposed "noml". To use all three, you'd put the following in your webpages' headers:

<meta name="robots" content="noai, noimageai, noml">

Have I Been Trained? - A tool by Spawning to search for images in the LAION-5B and LAION-400M datasets and opt your images and web domain out of future model training. Spawning claims that Stability AI and Hugging Face have agreed to respect these opt-outs. Try searching for usernames!

Kudurru - A tool by Spawning (currently a Wordpress plugin) in closed beta that purportedly blocks/redirects AI scrapers from your website. I don't know much about how this one works.

ai.txt - Similar to robots.txt. A new type of permissions file for AI training proposed by Spawning.

ArtShield Watermarker - Web-based tool to add Stable Diffusion's "invisible watermark" to images, which may cause an image to be recognized as AI-generated and excluded from data scraping and/or model training. Source available on GitHub. Doesn't seem to have updated/posted on social media since last year.

Image processing... things

these are popular now, but there seems to be some confusion regarding the goal of these tools; these aren't meant to "kill" AI art, and they won't affect existing models. they won't magically guarantee full protection, so you probably shouldn't loudly announce that you're using them to try to bait AI users into responding

Glaze - UChicago's tool to add "adversarial noise" to art to disrupt style mimicry. Devs recommend glazing pictures last. Runs on Windows and Mac (Nvidia GPU required)

WebGlaze - Free browser-based Glaze service for those who can't run Glaze locally. Request an invite by following their instructions.

Mist - Another adversarial noise tool, by Psyker Group. Runs on Windows and Linux (Nvidia GPU required) or on web with a Google Colab Notebook.

Nightshade - UChicago's tool to distort AI's recognition of features and "poison" datasets, with the goal of making it inconvenient to use images scraped without consent. The guide recommends that you do not disclose whether your art is nightshaded. Nightshade chooses a tag that's relevant to your image. You should use this word in the image's caption/alt text when you post the image online. This means the alt text will accurately describe what's in the image-- there is no reason to ever write false/mismatched alt text!!! Runs on Windows and Mac (Nvidia GPU required)

Sanative AI - Web-based "anti-AI watermark"-- maybe comparable to Glaze and Mist. I can't find much about this one except that they won a "Responsible AI Challenge" hosted by Mozilla last year.

Just Add A Regular Watermark - It doesn't take a lot of processing power to add a watermark, so why not? Try adding complexities like warping, changes in color/opacity, and blurring to make it more annoying for an AI (or human) to remove. You could even try testing your watermark against an AI watermark remover. (the privacy policy claims that they don't keep or otherwise use your images, but use your own judgment)

given that energy consumption was the focus of some AI art criticism, I'm not sure if the benefits of these GPU-intensive tools outweigh the cost, and I'd like to know more about that. in any case, I thought that people writing alt text/image descriptions more often would've been a neat side effect of Nightshade being used, so I hope to see more of that in the future, at least!

[swiftproxy]

How Proxy Servers Help in Analyzing Competitor Strategies

In a globalized business environment, keeping abreast of competitors' dynamics is a core capability for a company to survive. However, with the upgrading of anti-crawler technology, tightening of privacy regulations (such as the Global Data Privacy Agreement 2024), and regional content blocking, traditional monitoring methods have become seriously ineffective. In 2025, proxy servers will become a "strategic tool" for corporate competitive intelligence systems due to their anonymity, geographic simulation capabilities, and anti-blocking technology. This article combines cutting-edge technical solutions with real cases to analyze how proxy servers enable dynamic analysis of opponents.

Core application scenarios and technical solutions

1. Price monitoring: A global pricing strategy perspective

Technical requirements:

Break through the regional blockade of e-commerce platforms (such as Amazon sub-stations, Lazada regional pricing)

Avoid IP blocking caused by high-frequency access

Capture dynamic price data (flash sales, member-exclusive prices, etc.)

Solutions:

Residential proxy rotation pool: Through real household IPs in Southeast Asia, Europe and other places, 500+ addresses are rotated every hour to simulate natural user browsing behavior.

AI dynamic speed adjustment: Automatically adjust the request frequency according to the anti-crawling rules of the target website (such as Target.com’s flow limit of 3 times per second).

Data cleaning engine: Eliminate the "false price traps" launched by the platform (such as discount prices only displayed to new users).

2. Advertising strategy analysis: decoding localized marketing ‌

Technical requirements ‌:

Capture regional targeted ads (Google/Facebook personalized delivery)

Analyze competitor SEM keyword layout

Monitor the advertising material updates of short video platforms (TikTok/Instagram Reels)

Solutions ‌:

‌Mobile 4G proxy cluster‌: Simulate real mobile devices in the target country (such as India's Jio operator and Japan's Docomo network) to trigger precise advertising push.

‌Headless browser + proxy binding‌: Through tools such as Puppeteer-extra, assign independent proxy IP to each browser instance and batch capture advertising landing pages.

‌Multi-language OCR recognition‌: Automatically parse advertising copy in non-common languages ​​such as Arabic and Thai.

3. Product iteration and supply chain tracking ‌‌

Technical requirements‌:

Monitor new product information hidden on competitor official websites/APIs

Catch supplier bidding platform data (such as Alibaba International Station)

Analyze app store version update logs ‌Solution‌:

‌ASN proxy directional penetration‌: Reduce the API interface access risk control level through the IP of the autonomous system (ASN) where the competitor server is located (such as AWS West Coast node).

‌Deep crawler + proxy tunnel‌: Recursively crawl the competitor support page and GitHub repository, and achieve complete anonymization in combination with Tor proxy.

‌APK decompilation proxy‌: Download the Middle East limited edition App through the Egyptian mobile proxy and parse the unreleased functional modules in the code.

2025 proxy Technology Upgrade

‌Compliance Data Flow Architecture

User request → Swiss residential proxy (anonymity layer) → Singapore data center proxy (mass-desensitizing layer) → target website Log retention: zero-log policy + EU GDPR compliance audit channel

Tool recommendation and cost optimization

Conclusion: Reshaping the rules of the game for competitive intelligence

In the commercial battlefield of 2025, proxy servers have been upgraded from "data pipelines" to "intelligent attack and defense platforms." If companies can integrate proxy technology, AI analysis, and compliance frameworks, they can not only see through the dynamics of their opponents, but also proactively set up competitive barriers. In the future, the battlefield of proxy servers will extend to edge computing nodes and decentralized networks, further subverting the traditional intelligence warfare model.

[pulipuli]

看看網頁版全文 ⇨ 用爬蟲作為Dify的知識庫：Firecrawl / Using a Web Crawler as Dify's Knowledge Base: Firecrawl https://blog.pulipuli.info/2025/01/using-a-web-crawler-as-difys-knowledge-base-firecrawl.html Dify的知識庫能夠取自網路資料，再搭配我們自架的Coolcrawl來取代公開服務Firecrawl，就能夠抓取內部區域網路裡面的網路資料。 接下來就讓我們來看看這要怎麼實作吧。 Dify's knowledge base can draw from online data, and by combining it with our self-hosted Coolcrawl (instead of the public service Firecrawl), it can also crawl data within the intranet. Let's take a look at how to implement this.。 ---- # Firecrawl 大型語言模型專用爬蟲 / Firecrawl: A Web Crawler for Large Language Models。 https://www.firecrawl.dev/。 Firecrawl 是一款專為大型語言模型（LLM）設計的網路爬蟲工具，它能將整個網站轉換成適合 LLM 使用的 Markdown 格式或結構化資料。 與傳統爬蟲不同，Firecrawl 不需要網站地圖，就能自動抓取網站及其所有可存取的子頁面。 這項功能讓使用者可以輕鬆地從任何網站擷取內容，進而將這些資料用於訓練大型語言模型或建立檢索增強生成（RAG）系統。 Firecrawl 特別擅長處理使用 JavaScript 動態產生內容的網站，並能將這些內容轉換成 LLM 可以理解的格式，這在處理現代複雜網站時非常重要。 Firecrawl 提供多種使用方式，包括 API 介面和 SDK (軟體開發套件)，方便使用者將其整合到不同的專案中。 它不僅支援抓取網頁內容，還能進行資料清理和擷取，確保產出的資料品質。 Firecrawl 就像一個智慧機器人，從使用者提供的網頁開始，自動找到並存取網站上的所有其他頁面，擷取主要內容、並去除廣告等不必要的元素，然後將這些資訊整理好，方便使用者使用。 https://github.com/sugarforever/coolcrawl/blob/main/README.md。 Firecrawl雖然有在GitHub上開放部分程式碼，但本身還是需要仰賴它的雲端服務才能運作。 ---- 繼續閱讀 ⇨ 用爬蟲作為Dify的知識庫：Firecrawl / Using a Web Crawler as Dify's Knowledge Base: Firecrawl https://blog.pulipuli.info/2025/01/using-a-web-crawler-as-difys-knowledge-base-firecrawl.html

[cassstudies]

12th January 2025

Plan the next week.

Read Paul Lusztin book.

Gather resources for AWS.

Apply for jobs.

Work on Data Engineering:

Get all test data in MongoDB.

Multiple accounts for Tumblr.

Create an automated pipeline for all this.

Implement:

GitHub Crawler

Penzu Crawler

Twitter Crawler

[toukubo]

Evidence Based Web #1

なんかもうめっちゃ興味あるんだよなー。エビデンスベースウェブ。

finding myself having strong interrrest on evidence based web, i ve been starting some surveys on the current situation around it for both about progress of the web documents, and methodologies of the evicence based informaion. 

the keyword would be like 1. data driven business, A/B tests, AI, machine leraning, binary machine leraning, labeling, causation modeling, general AI ( GAI ), next version of web crawlers, web meta data, academic science, statistics, and universal graph.

キーワードは広範で、これは「科学的に大学とか研究機関が心理、医療、健康、生産性、経済学、恋愛、性、社会ストレス、意思決定、などの領域に理想的な環境を作り強く定義された協議の科学的手法や統計、アナリシス手法を加えているものたちのみならず、スタートアップエコノミーを広く一種のエビデンスベースの実証活動と捉え、仮説としてのプリシード、仮設のミニマムな検証としてのシード、仮説検証後のPDCAとして因果関係グラフを各エッジ（因果kな系）を分離した形で検証比較（統合ROIの比較とエッジ（causation ＝ 因果kな系）の尤度検証）を行いアーリーなどを進めてい存在、それを連続的に社会が後押しする社会動態、クリエイティブ資本の定義はこれだなーというものも含める。企業やいろんな主体がデータだ、因果関係だ、尤度だ、という方向に向かっていく理由も同じだし、僕ら人工知能研究開発者がユニバーサルグラフは最終的に相応的な粒度の、人間が発見したラベルから、バイナリを機械学習にして因果関係グラフにしたもの、またそれに言語ラベルグラフを作り、情報の価値を把握するグーグルサーチの基盤アルゴリズムのようなものに統合されて、そ子に思考系（僕が作ったような統合ROI判定いの思考でもうできちゃうとこまできてる）が入ればもう考える神可能になるね、というシナリオにおいて、この「あらゆるレイヤーで、因果関係を一本一本引き抜いて、きっちりエビデンスつけてっちゃう、そしてそれをウェブに放流して、みんなが検証して追試して投げかえしていく」ということは前段として必須であったのだが、これが満たされて行こうとしてるのが、もうほとんど僕の定義でいう��ホモデウス間も無くっす」んもシナリオ通りであるって感じだ。もちろんもっと複合的な要因で成立するんだろうけど、エビデンスベースウェブはその前哨戦で登場する。

ah translate it into eng.... OK .. so like we ve seen the huge amazing growth of the scientific documents, exchanges in many many academic fields publishing there evidence based papers, which are following rigid types of verification process on the causation. our impression of this thing, happening on the evidence based scientific papers , is like the speed is increasing faster and faster, and the granulalirity’s getting smaller and smaller, the exchange speed ( span ) of one paper anounced and published to other researhers groups react is faster and quicker, and it makes me, remember the born of blogosphere, and SNS, so it’s a like, the Web. so i say it’s something coming up. evidneced base web, but this is not onoly academic things, but all of you and company, startups or big company, all us, indivisuals , small groups to big ones, all are generated the data driven, and “the causations evidences” and publshing the web.

you may have heard about this, General AI, which can live forever instead of us who dies super fast, will have the whole universal causations graph, which has all the granulralry, as possible as detailed, and as possible as huge, graph of the causational relationshiops, inside, and all are calculated, for all the states and generations of the future moments, it caliaulate the best thing that he should have, and he makes decision based on it, and act on it. it’s the algorythms of the god, a.k.a homo deus.

plus to this, how the invention of the startups class are done ? Rihard Florida described the situations and the fast of born of the creative class, who are keep doing the creative activities. i wanna put something on his great finding, that the fast growh of connected economy scale, and technology innovation cycle where the oulet ( output )  of some nodes ( infomration onde, or companies and projects ) connected to the inlet of other projects/companies, and and they are now invented a fixed reusable components called stock operations. it’s not only serial entrepreneurs who takes the recursive change agent role, bug developers ( who are creating smaller grained github code another forks one nad generate another putting some refinement another, and some other enginners uses it to invent some others, and side effects they create the innovation through the services / business ) or all kind of people around it,now the quick recursive cycles has kicked around 2000, and now the speed is obviously increasing old society. yey ? then the difinition of hte startups are now, they are the entity to do the business based causation verification. it’s the key difference between “creative class” has been doing,  and startup class are doing. I wonder why, the society has invented this startup class to take a lot of venture capital from the old capital assets, to do keep doing this trials. see the worlds around, find the problems on it, see the causations around, look into peoples deeper part of mind, find the causations, doubt it, doubt it, and make the assumptions set, and do the startups, hire developers, artists ship it, and see the results with visible variables ( KPI )s following the causations results, so in a word, they are verifying it.

疲れた次から各論

[stagetonki]

Octoparse xpath pagination

Octoparse xpath pagination how to#

Octoparse xpath pagination upgrade#

Octoparse xpath pagination software#

Step 3: Click on the first element of the second line of the list Step 2: Click on the first element of the first line of the list Step 1: Click on the “ Select in Page” option The operation steps of “ Select in Page” are as follows: If the result of the “ Auto Detect” does not meet your requirements, you can modify it by selecting “ Select in Page” and “ Edit Xpath“.

Octoparse xpath pagination software#

If it is a List Page, you can click “ Auto Detect” and the software will try to identify the list again.Įach element in the list is selected with a green boder on the page, and each field in the list element is selected with a red boder. If it is a Detail Page, you can choose “ Detail Page” directly. The settings menu for Page Type is shown below: When the Page Type is incorrect, we need to set it manually.įor an introduction to Detail page and List page, please refer to the following tutorials: Or for other reasons, such as page loading speed, even if the page you enter is a List Page, there may be identification failure. If the URL you enter is a Detail Page, the result of page type identification is certainly incorrect. In Smart Mode, the default Page Type is List Page.

5 Highest Salary Programming Languages in 2021.

What is the best web development programming language?.

The Role and Usage of Pre Login when Creating Tasks.

Top 5 Programming Learning Websites in 2021.

5 Easy-to-use and Efficient Phython Tools.

5 Application Areas of Artificial Intelligence.

5 Useful Search Engine Technologies-ScrapeStorm.

4 Popular Machine Learning Projects on GitHub.

9 Regular Expressions That Make Writing Code Easier.

Top 4 Popular Big Data Visualization Tools.

5 Popular Websites for Programming Learning in 2022.

Excellent online programming website(2).

Octoparse xpath pagination how to#

How to Scrape Websites Without Being Blocked.The Issues and Challenges with the Web Crawlers.7 Free Statistics and Report Download Sites.Recommended tools for price monitoring in 2020.5 Most Popular Programming Languages in 2022.The Advantages and Disadvantages of Python.The Difference between Data Science, Big Data and Data Analysis.Popular Sraping Tools to Acquire Data Without Coding.Introduction and characteristics of Python.【2022】The 10 Best Web Scrapers That You Cannot Miss.Top 5 Best Web Scrapers for Data Extraction in 2021.【2022】Top 10 Best Website Crawlers(Reviews & Comparison）.What is scraping? A brief explanation of web scraping!.How to turn pages by entering page numbers in batches.How to scrape data by entering keywords in batches.How to scrape a list page & detail page.How to scrape data from an iPhone webpage.What is the role of switching browser mode.How to switch proxy while editing a task.How to solve captcha when editing tasks.How to scrape web pages that need to be logged in to view.Introduction to the task editing interface.

Octoparse xpath pagination upgrade#

How to download, install, register, set up and upgrade software versions.

[vikram739]

What are the Top 10 Free Security Testing Frameworks?

With the spread of digitization across domains, cybercriminals are having a field day. They are leveraging every trick in the book to hack into websites or applications to steal confidential information or disrupt the functioning of an organization’s digital systems. Even statistics buttress the malevolent role of cybercriminals with scary projections. Accordingly, by the end of 2021, the world is going to be poorer by $6 trillion as cybercrime is expected to extract its pound of flesh. And by 2025, the figure is expected to touch $10.5 trillion. No wonder, security testing is pursued with renewed zeal by organizations cutting across domains, with the market size expected to touch $16.9 billion by 2025. One of the measures to implement cybersecurity testing is the use of security testing frameworks. The importance of using such frameworks lies in the fact that they can guide organizations in complying with regulations and security policies relevant to a particular sector. Let us take you through 10 such open-source security testing frameworks to ensure the protection of data in a digital system and maintain its functionality.

10 open-source security testing frameworks        

To identify and mitigate the presence of vulnerabilities and flaws in a web or mobile application, there are many open-source security testing frameworks. These can be customized to match the requirements of each organization and find vulnerabilities such as SQL Injection, Broken Authentication, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), Session Management, and Security Misconfigurations, among others.

#1 Synk: Licensed by Apache, Synk is an open-source vendor application security testing framework that detects underlying vulnerabilities and fixes the same during the development cum testing process. It can be used to secure all components of any cloud-based native application and features continuous AI learning and semantic code analysis in real-time.

#2 NetSparker: It is a one-stop destination for all security needs, which can be easily integrated into any type of development or test environment. NetSparker features a proof-based scanning technology that can identify glitches such as Cross-Site Scripting (XSS) and verify false positives in websites or applications, thereby eliminating the investment in man-hours.

#3 Acunetix: A powerful application security testing solution to secure your web environment and APIs by detecting vulnerabilities such as SQL injection, Cross-Site Scripting (XSS), and others. It has a DeepScan crawler that can scan HTML websites and client-side SPAs. Using this, users can export identified vulnerabilities to trackers such as GitHub, Atlassian JIRA, Bugzilla, Mantis, and others.

#4 w3af: Built using Python, the w3af attack and audit framework is a free application security scanner to find and exploit vulnerabilities in web applications during penetration testing.

#5 Zed Attack Proxy (ZAP): Built by OWASP (Open Web Application Security Project), ZAP is an open-source and multi-platform software security testing tool to detect vulnerabilities in a web application. Written in Java, ZAP can intercept a proxy to manually test a webpage and expose errors such as private IP disclosure, SQL injection, missing anti-CSRF tokens, XSS injection, and others.

#6 ImmuniWeb: Employing artificial intelligence, ImmuniWeb is a security platform to conduct security testing. With a one-click patching system, the platform can ensure continuous compliance monitoring and boasts proprietary technology to check for privacy, compliance, and server hardening.

#7 Wapiti: A command-line application to detect scripts and forms where data can be injected. It conducts a black box scan by injecting payloads to check if the detected scripts are vulnerable. Wapiti is capable of generating reports in several features and formats highlighting vulnerabilities such as database injection, Cross-Site Scripting (XSS), file disclosure, and .htaccess configuration, among others.

#8 Vega: Written in Java, this open-source scanning tool working on OSX, Windows, and Linux platforms can detect vulnerabilities such as shell injection, blind SQL injection, and Cross-Site Scripting, among others. Its intercepting proxy facilitates tactical inspection by monitoring client-server communication. The detection modules can create new attack modules using APIs.

#9 Arachni: A free Ruby-based framework, Arachni is leveraged by penetration testers to evaluate the security of web applications. Supporting all major operating systems, this multi-platform cybersecurity testing tool can uncover scores of vulnerabilities, including XSS injection, SQL injection, and invalidated redirect, among others.

#10 Google Nogotofail: A network security testing framework, it can detect known vulnerabilities and misconfigurations such as TLS/SSL. It offers a flexible method of scanning, detecting, and fixing SSL/TLS connections. To be set up as a VPN server, router, or proxy server, it works with major operating systems such as iOS, Android, Windows, OSX, or Linux.

Conclusion

The above-mentioned tools/frameworks used by security testing services can be chosen as per the security testing requirements of organizations. With cybersecurity threats being faced by organizations across domains, the use of these frameworks can keep an organization in good stead in securing customer and business data, adhering to regulatory standards, and delivering superior customer experiences.

Resource

James Daniel is a software Tech enthusiastic & works at Cigniti Technologies. I'm having a great understanding of today's software testing quality that yields strong results and always happy to create valuable content & share thoughts.

Article Source: wattpad.com

[pulipuli]

網路爬蟲的教學很多，但要怎麼定期執行爬蟲、又要把爬完的資料保存後供人取用，則是一個大問題。 ---- # API Crawler Example。 https://github.com/pulipulichen/API-Crawler-Example。 我整合了GitHub Action跟GitHub Pages等多個技術，歸納了解決方案。 主要技術如下：。 - GitHub Action：可設定排程執行爬蟲任務。 - 使用Docker封裝任務程式碼：這裡使用的是Node.js環境的Puppeteer跟jQuery來操作。不得不說jQuery在查找資料上還是有著無與倫比的便利性。 - NodeCacheSqlite：用SQLite做快取。這是我很久做的小程式了，一直慢慢地改進它，到現在還是覺得很好用。 - 用satackey/action-docker-layer-caching保存Docker暫存資料：不用擔心每次都要重建容器。 - 用actions/cache來保存暫存檔案：把剛剛NodeCacheSqlite快取的結果保存起來，每次跑workflow的時候都會取出來重用。 - 用JamesIves/github-pages-deploy-action把指定路徑的檔案保存到gh-pages分支。 - 用GitHub Pages把gh-pages的資料變成可供人以網址取用的靜態資料。 https://pulipulichen.github.io/API-Crawler-Example/output.json。 爬完之後的結果，可以看看上面的網址。 範例是定期爬「布丁布丁吃什麼？」首頁的文章標題。 # 自訂爬蟲 / Customize your crawler。 如果要以API Crawler Example開發成自己的爬蟲的話，可以調整一下內容：。 1. Fork保存庫 ---- 繼續閱讀 ⇨ 使用GitHub做定期爬蟲、保存與提供資料 / Building a Scheduled Crawler and Storing as Accessible Data by GitHub Action and Pages https://blog.pulipuli.info/2023/02/blog-post_586.html

[nummero123]

10 Important 2021 SEO Trends You Need to Know

For SEO experts, what is 2021 going to be like? Check out 10 primary patterns that you need to know

Trend #1: User + Search Purpose Emphasis

It's time to reflect on users and search intentions in 2021.

While this is hardly a new trend or idea, it is important to refocus every year because the intent and actions of searchers change all the time.

Particularly after the year 2020, when so much has changed quickly.

Jenn Mathews, GitHub's SEO Director said:

"Our company benefits from it when we understand the nature of why people

search and assist them with content that provides the answers they are looking for."

Trend #2: Customer Analytics, Market Share & Profitability

SEO used to be for moving traffic (primarily). But SEO has been turned into something far more.

Data on behavioral analytics however will become the best resource in 2021.

"With Google evolving faster and faster to provide instant results, it has become much more critical to follow responsibility beyond visits, and to match UX, conversion, and revenue,"

We'll see SEO pros dialing back keyword research and elevating first-party consumer research in order to distinguish ourselves," McAlpin said." "This study unlocks hidden opportunities that keyword research may not tell us with service offerings and content ideas."

Trend #3: Artificial Intelligence

The way people communicate with digital reviews are modified by artificial intelligence (AI).The AI algorithm via Google is specifically worth noting.

The algorithm, called Rank Brain, released a few years ago, plays an important role in Google's ranking factors for search engine result pages (SERPs).

The tool was previously highlighted by Greg Corrado, a senior Google scientist who helped create Rank Brain.

Trend #4: If you want to stay on top in rankings, data analytics should be your goal.

You can understand clients, envision campaigns, and develop targeted messages through data science.

Analytics will help you verify which URLs are being crawled, identify sources of referrals, check page load times, indexing, redirects, response errors, bounce rates, and more.

You can also use data science to classify pages that you don't want to index for crawlers and identify unusual sources of traffic

Trend #5: Assess, Adopt & Execute

Although it is still necessary to have basic skills and experience, the brain needs to be versatile to adapt to rapid changes.

To understand what is happening in the industry, where demand has traditionally changed, and where it is shifting in real-time, take a more strategic and blended approach.

To understand how economic, sociological, and psychological variables influence search demand, take a consultative approach and then look at understanding customer behavior and purpose at a granular level. Using all business analytics devices, platforms, and sources at your disposal.

Trend #6:Excessive-High quality, Optimized Content

There is one aspect that the lifeblood of

SEO has been and will continue to be:

Content.

Content affects everything in SEO, from the layout of your website, and from the linking strategy to the types of links you create.

You will have to write one item that is related and precious to hit 2020.

This means that SEOs have to find ways to write or lend out people who know how to write.

Trend #7:Scalability of SEO

According to Mark Traphagen, Vice President of Product Marketing and Training, SeoClarity, 2021 should be your year to build scalability into your SEO if you are going to get ahead of your competition.

What? How?

These three tips were shared by Traphagen:

List on a daily basis all the duties, procedures, and workflows you do. Determine which steps can be automated or handled better using a tool.

Set up an alert system that monitors major changes such as keyword rankings, flip-flopping URL rankings for the same keyword (URL cannibalization), changes in page content, URL changes, etc.

Establish SoPs (Standard Operating Procedures) for any regular tasks that you can not automate, so that your team may not waste time reinventing how to do them so each time they need to perform them.

Trend #7:Mobile SEO

Stunned to see mobile SEO as a necessary trend for 2020? Hey. Don't be.

Nearly every applicant coming into our store has a multitude of mobile devices. It's good to adopt 2017 strategies and restore your smartphone in order to succeed in 2021.

What does this imply?

Create mobile websites first, then render them suitable for the desktop. These websites should not be configured for speed after pacing in that way.

Trend #8:Link Building & Brand Building

In 2021, hyperlink construction will be before brand construction.

SEOs would have the duty to create connections and media placements that drive traffic and push the brand, not just hyperlinks that help with search rankings. Our link building method now needs to be on-brand, or there is a real possibility that there will be no brand-building exercise in any way.

It is vital to create a brand folk's trust and have to do business with it.

Users are getting smarter and so, in the case of marketing, they demand extra. The more they trust you, the more they want to share your content (hyperlinks), speak about you (worth), and buy your items (revenue).

Trend #9:Programming

In 2021, to minimize your most time-consuming and redundant tasks, you need to turn to program languages such as Python and R.

SEO automation will free you as much as the marketing basics facility will take advantage of:

Tagging.

Creating good interactions for customers.

Narrating tales.

Talking about the language of your customer.

Listening to your target market & delivering considerate/well-timed replies.

Offering basic content to devour (in the way in which wherein your customers need it).

Humankind being .

Trend #10:UX & Technical SEO

This includes the overall experience from the initial SERP interaction, to the overall experience of the landing page, and even the experience after leaving your site (think remarketing, drip campaigns, personalization for returning users).

With the latest Chrome "slow warning badges" and the pace stories in Google Search Console, Google has revitalized discussions and centered on site speed.

In 2021, the popularisation of JS frameworks, app first companies that can also move to the web extra strongly due to the benefits of PWAs, and the need for SEO operation automation for larger websites can be addressed by the location machine studying with Python.

[globalmediacampaign]

Cross-account replication with Amazon DynamoDB

Hundreds of thousands of customers use Amazon DynamoDB for mission-critical workloads. In some situations, you may want to migrate your DynamoDB tables into a different AWS account, for example, in the eventuality of a company being acquired by another company. Another use case is adopting a multi-account strategy, in which you have a dependent account and want to replicate production data in DynamoDB to this account for development purposes. Finally, for disaster recovery, you can use DynamoDB global tables to replicate your DynamoDB tables automatically across different AWS Regions, thereby achieving sub-minute Recovery Time and Point Objectives (RTO and RPO). However, you might want to replicate not only to a different Region, but also to another AWS account. In this post, we cover a cost-effective method to migrate and sync DynamoDB tables across accounts while having no impact on the source table performance and availability. Overview of solution We split this article into two main sections: initial migration and ongoing replication. We complete the initial migration by using a new feature that allows us to export DynamoDB tables to any Amazon Simple Storage Service (Amazon S3) bucket and use an AWS Glue job to perform the import. For ongoing replication, we use Amazon DynamoDB Streams and AWS Lambda to replicate any subsequent INSERTS, UPDATES, and DELETES. The following diagram illustrates this architecture. Initial migration The new native export feature leverages the point in time recovery (PITR) capability in DynamoDB and allows us to export a 1.3 TB table in a matter of minutes without consuming any read capacity units (RCUs), which is considerably faster and more cost-effective than what was possible before its release. Alternatively, for smaller tables that take less than 1 hour to migrate (from our tests, tables smaller than 140 GB), we can use an AWS Glue job to copy the data between tables without writing into an intermediate S3 bucket. Step-by-step instructions to deploy this solution are available in our GitHub repository. Exporting the table with the native export feature To export the DynamoDB table to a different account using the native export feature, we first need to grant the proper permissions by attaching two AWS Identity and Access Management (IAM) policies: one S3 bucket policy and one identity-based policy on the IAM user who performs the export, both allowing write and list permissions. The following code is the S3 bucket policy (target account): { "Version": "2012-10-17", "Id": "Policy1605099029795", "Statement": [ { "Sid": "Stmt1605098975368", "Effect": "Allow", "Principal": { "AWS": "arn:aws:iam:::user/" }, "Action": [ "s3:ListBucket", "s3:PutObjectAcl", "s3:AbortMultipartUpload", "s3:PutObject" ], "Resource": [ "arn:aws:s3::: ", "arn:aws:s3::: /*" ] } ] } The following code is the IAM user policy (source account): { "Version": "2012-10-17", "Statement": [ { "Sid": "Stmt1605019439671", "Action": [ "s3:ListBucket", "s3:PutObject", "s3:PutObjectAcl" ], "Effect": "Allow", "Resource": "arn:aws:s3:::" } ] }  Make sure DynamoDB Streams is enabled in the source table at least 2 minutes before starting the export. This is needed for the ongoing replication step. For instructions on performing the export, see New – Export Amazon DynamoDB Table Data to Your Data Lake in Amazon S3, No Code Writing Required. When doing the export, you can choose the output format in either DynamoDB JSON or Amazon Ion. In this post, we choose DynamoDB JSON. The files are exported in the following S3 location: s3:///AWSDynamoDB//data/ After the export has finished, the objects are still owned by the user in the source account, so no one in the target account has permissions to access them. To fix this, we can change the owner by using the bucket-owner-full-control ACL. We use the AWS Command Line Interface (AWS CLI) in the source account and the following command to list all the objects in the target S3 bucket and output the object keys to a file: aws s3 ls s3:// --recursive | awk '{print $4}' > file.txt Then, we created a bash script to go over every line and update the owner of each object using the put-object-acl command. Edit the script by changing the path of the file, and run the script. Importing the table Now that we have our data exported, we use an AWS Glue job to read the compressed files from the S3 location and write them to the target DynamoDB table. The job requires a schema containing metadata in order to know how to interpret the data. The AWS Glue Data Catalog is a managed service that lets you store, annotate, and share metadata in the AWS Cloud. After the data is cataloged, it’s immediately available for querying and transformation using Amazon Athena, Amazon EMR, Amazon Redshift Spectrum, and AWS Glue. To populate the Data Catalog, we use an AWS Glue crawler to infer the schema and create a logical table on top of our recently exported files. For more information on how configure the crawler, see Defining Crawlers. Most of the code that the job runs can be generated by AWS Glue Studio, so we don’t have to type all the existing fields manually. For instructions, see Tutorial: Getting started with AWS Glue Studio. In this post, we focus on just two sections of the code: the data transformation and the sink operation. Our GitHub repo has the full version of the code. The following is the data transformation snippet of the generated code: Transform0 = ApplyMapping.apply(frame = DataSource0, mappings =[ ("item.ID.S", "string", "item.ID.S", "string"), ("item.date.M", "string", "item.date.M", "string"), ("item.location.M.lat.S", "string", "item.location.M.lat.S", "string"), ("item.location.M.lng.S", "string", "item.location.M.lng.S", "string")], transformation_ctx = "Transform0") Now we have to make sure all the key names, data types, and nested objects have the same values and properties as in the source. For example, we need to change the key name item.ID.S to ID, item.date.M to date, the date type from string to map, and so on. The location object contains nested JSON and again, we have to make sure the structure is respected in the target as well. Our snippet looks like the following after all the required code changes are implemented: Mapped = ApplyMapping.apply(frame = Source, mappings = [ ("item.ID.S", "string", "ID", "string"), ("item.date.M", "string", "date", "map"), ("item.location.M.lng.S", "string", "location.lng", "string"), ("item.location.M.lat.S", "string", "location.lat", "string")], transformation_ctx = "Mapped") Another essential part of our code is the one that allows us to write directly to DynamoDB. Here we need to specify several parameters to configure the sink operation. One of these parameters is dynamodb.throughput.write.percent, which allows us to specify what percentage of write capacity the job should use. For this post, we choose 1.0 for 100% of the available WCUs. Our target table is configured using provisioned capacity and the only activity on the table is this initial import. Therefore, we configure the AWS Glue job to consume all write capacity allocated to the table. For on-demand tables, AWS Glue handles the write capacity of the table as 40,000. This is the code snippet responsible for the sink operation: glueContext.write_dynamic_frame_from_options( frame=Mapped, connection_type="dynamodb", connection_options={ "dynamodb.region": "", "dynamodb.output.tableName": "", "dynamodb.throughput.write.percent": "1.0" Finally, we start our import operation with an AWS Glue job backed by 17 standard workers. Because the price difference was insignificant even when we used half this capacity, we chose the number of workers that resulted in the shortest import time. The maximum number of workers correlates with the table’s capacity throughput limit, so there is a theoretical ceiling based on the write capacity of the target table. The following graph shows that we’re using DynamoDB provisioned capacity (which can be seen as the red line) because we know our capacity requirements and can therefore better control cost. We requested a write capacity limit increase using AWS Service Quota to double the table default limit of 40,000 WCUs so the import finishes faster. DynamoDB account limits are soft limits that can be raised by request if you need to increase the speed at which data is exported and imported. There is virtually no limit on how much capacity you request, but each request is subject to review by the DynamoDB service. Our AWS Glue job took roughly 9 hours and 20 minutes, leaving us with a total migration time of 9 hours and 35 minutes. It’s considerably faster when compared to the total of 14 hours migration using Data Pipeline, for a lower cost. After the import finishes, change the target DynamoDB table write capacity to either one of the following options based on the target table’s use case: On-demand – Choose this option if you don’t start the ongoing replication immediately after the initial migration or if the target table is a development table. The same WCU you have in the source table – If you’re planning to start the ongoing replication immediately after the initial migration finishes, this is the most cost-effective option. Also, if this is a DR use case, use this option to match the target throughput capacity with the source. Ongoing replication To ensure data integrity across both tables, the initial (full load) migration should be completed before enabling ongoing replication. In the ongoing replication process, any item-level modifications that happened in the source DynamoDB table during and after the initial migration are captured by DynamoDB Streams. DynamoDB streams store these time-ordered records for 24 hours. Then, a Lambda function reads records from the stream and replicates those changes to the target DynamoDB table. The following diagram (option 1) depicts the ongoing replication architecture. However, if the initial migration takes more than 24 hours, we have to use Amazon Kinesis Data Streams instead. In our case, we migrated 1.3 TB in just under 10 hours. Therefore, if the table you’re migrating is bigger than 3 TB (with the DynamoDB table write limit increased to 80,000 WCUs), the initial migration part could take more than 24 hours. In this case, use Kinesis Data Streams as a buffer to capture changes to the source table, thereby extending the retention from 1 day to 365 days. The following diagram (option 2) depicts the ongoing replication architecture if we use Kinesis Data Streams as a buffer. All updates happening on the source table can be automatically copied to a Kinesis data stream using the new Kinesis Data Streams for DynamoDB feature. A Lambda function reads records from the stream and replicates those changes to the target DynamoDB table. In this post, we use DynamoDB Streams (option 1) to capture the changes on the source table. The ongoing replication solution is available in the GitHub repo. We use an AWS Serverless Application Model (AWS SAM) template to create and deploy the Lambda function that processes the records in the stream. This function assumes an IAM role in the target account to write modified and new items to the target DynamoDB table. Therefore, before deploying the AWS SAM template, complete the following steps in the target account to create the IAM role: On the IAM console, choose Roles in the navigation pane. Choose Create role. Select Another AWS account. For Account ID, enter the source account number. Choose Next. Create a new policy and copy the following permissions to the policy. Replace with the target DynamoDB table ARN. { "Version": "2012-10-17", "Statement": [ { "Sid": "VisualEditor0", "Effect": "Allow", "Action": [ "dynamodb:BatchGetItem", "dynamodb:BatchWriteItem", "dynamodb:PutItem", "dynamodb:DescribeTable", "dynamodb:DeleteItem", "dynamodb:GetItem", "dynamodb:Scan", "dynamodb:Query", "dynamodb:UpdateItem" ], "Resource": "" }, { "Sid": "VisualEditor1", "Effect": "Allow", "Action": "dynamodb:ListTables", "Resource": "*" } ] } Return to the role creation wizard and refresh the list of policies. Chose the newly created policy. Choose Next. Enter the target role name. Choose Create role. Deploying and running the ongoing replication solution Follow the instructions in the GitHub repo to deploy the template after the initial migration is finished. When deploying the template, you’re prompted to enter several parameters including but not limited to TargetRoleName (the IAM role created in last step) and SourceTableStreamARN. For more information, see Parameter Details in the GitHub repo. One of the most important parameters is the MaximumRecordAgeInSeconds, which defines the oldest record in the stream that the Lambda function starts processing. If DynamoDB Streams was enabled only a few minutes before starting the initial export, set this parameter to -1 to process all records in the stream. If you didn’t have to turn on the stream because it was already enabled, set the MaximumRecordAgeInSeconds parameter to a few minutes (2–5 minutes) before the initial export starts. Otherwise, Lambda processes items that were already copied during the migration step, thereby consuming unnecessary Lambda resources and DynamoDB write capacity. For example, let’s assume you started the initial export at 2:00 PM and it took 1 hour, finishing at 3:00 PM. After that, the import has started and took 7 hours to complete. If you deploy the template at 10:00 PM, set the age to 28,920 seconds (8 hours, 2 minutes). The deployment creates a Lambda function that reads from the source DynamoDB Streams and writes to the table in the target account. It also creates a disabled DynamoDB event source mapping. The reason why this was disabled is because the moment we enable it, the function starts processing records in the stream automatically. Because we should start the ongoing replication only after the initial migration finishes, we need to control when to enable the trigger. To start the ongoing replication, enable the event source mapping on the Lambda console, as shown in the following screenshot.   Alternatively, you can also use the update-event-source-mapping command to enable the trigger or change any of the settings, such as MaximumRecordAgeInSeconds. Verifying the number of records in the source and target tables To verify number of records in both the source and target tables, check the Item summary section on the DynamoDB console, as shown in the following screenshot. You can also use the following command to determine the number of items as well as the size of the source and target tables: aws dynamodb describe-table --table-name   DynamoDB updates the size and item count values approximately every 6 hours. Alternatively, you can run an item count on the DynamoDB console. This operation does a full scan on the table to retrieve the current size and item count, and therefore it’s not recommended to run this action on large tables. Cleaning up Delete the resources you created if you no longer need them: Delete the IAM roles we created. Disable DynamoDB Streams. Disable PITR in the source table. Delete the AWS SAM template to delete the Lambda functions: aws cloudformation delete-stack --stack-name Delete the AWS Glue job, tables, and database. Conclusion In this post, we showcased the fastest and most cost-effective way to migrate DynamoDB tables between AWS accounts, using the new DynamoDB export feature along with AWS Glue for the initial migration, and Lambda in conjunction with DynamoDB Streams for the ongoing replication. Should you have any questions or suggestions, feel free to reach out to us on GitHub and we can take the conversation further. Until next time, enjoy your cloud journey! About the Authors Ahmed Zamzam is a Solutions Architect with Amazon Web Services. He supports SMB customers in the UK in their digital transformation and their cloud journey to AWS, and specializes in Data Analytics. Outside of work, he loves traveling, hiking, and cycling.       Dragos Pisaroc is a Solutions Architect supporting SMB customers in the UK in their cloud journey, and has a special interest in big data and analytics. Outside of work, he loves playing the keyboard and drums, as well as studying psychology and philosophy. https://aws.amazon.com/blogs/database/cross-account-replication-with-amazon-dynamodb/

[mobappdevelopmentcompany]

Trade-offs between the good and bad sides of Angular Development!

AngularJS App Development is trending these days as most businesses, across diverse domains, are picking this outstanding framework to develop rich web and mobile applications. As per research statistics posted by the online portal, BuiltWith, 846,612 websites are using Angular currently and 2,848,242 websites have used Angular in the past. Needless to say, Angular’s capability to fulfill the challenging requirements of modern-day web apps is the cause of its immense popularity. PayPal, JetBlue, Lego, and Netflix are some of the noteworthy end-products of Angular App Development.

So, if you too are one of the entrepreneurs planning to hire an AngularJS App Development Company for your next project, well then, you need to possess a thorough knowledge of Angular advantages as well as disadvantages.

This article will enlighten you about the benefits and drawbacks of Angular. But, before diving deeper, let’s take a glance at its traits.

Angular in a nutshell

AngularJS, a brainchild of Google, is an open-source framework, based on the dynamic programming language, JavaScript, integrated with CSS and HTML. It has undergone multiple enhancements ever since its inception in 2010 and has become the preferred choice for creating mobile and web apps. The first version of Angular is particularly known as AngularJS and all the other versions are simply called Angular with versions incrementing from 1 to 9.

Top Benefits that AngularJS Development Services provide:

MVC and MVVM Architecture

AngularJS employs smart architectural patterns like MVC (Model-View-Controller) and MVVM (Model-View-View-Model) that enhances performance. This kind of architecture enables the separation of data from the visual representation and design and also connects the elements of the app automatically without the need for additional coding. The architecture of the later updated versions of Angular is component-based that is similar to MVC but makes the code more readable, reusable, and easy to maintain.

Two-way data binding approach and DOM manipulation

Two-way data binding is a unique approach due to which any change made in the model is instantly reflected in the view (presentation layer) and vice-versa. Moreover, this approach makes it very easy for developers to manipulate the DOM (Document Object Model) and define the logical structure of documents. Thanks to DOM manipulation, the Angular Developers have to simply translate and then update the DOM elements instead of writing a lengthy code for this purpose.

Effective Templates

Usage of simple HTML templates that are sent to the compiler as DOM elements, rather than as strings, improves workflow and eases out the process of manipulation. These templates are highly reusable too.

Usage of Directives

The directives employed by Angular organize the scripts and HTML pages and keep them free of mess. These directives also enable developers to generate independent codes by using specific functions repeatedly. Angular also allows building custom directives instead of using the pre-defined ones.

Speedy prototyping

The prototyping tool- WYSIWYG, helps developers to create app prototypes much faster without having to write too much code. The developers can also acquire feedback and make necessary changes without much ado.

CLI automation

CLI (Angular Command-line interface tool) simplifies the developmental process and enhances the code quality by automating the entire development process. Thanks to CLI, lesser commands are needed for tasks like adding features, conducting unit, and end-to-end testing.

Enhanced server performance

Angular reduces the load from server CPUs as it supports different processes and caching. Due to this, the server functions smoothly and serves static files and responds only to API calls which ultimately results in reduced traffic. Thus, server performance improves considerably with Angular.

Responsiveness

The functionalities of the Angular ecosystem lead to the creation of immensely responsive apps and websites that load faster and navigate seamlessly. Hence, the end-users enjoy an enriching experience, which is the ultimate objective of any web or mobile application.

High Testability

Angular allows end-to-end-testing and unit-testing as it builds products that are testable and also offers a set of smart testing tools like Jasmine, Protractor, and Karma. Furthermore, Dependency injections are available, which simplify testing by isolating and simulating different components. As such, testing, debugging, and implementation become way easier in apps and websites built on Angular JS.

Other Benefits of Angular

Angular developers enjoy the support from a dynamic community through discussion forums, tutorials, and third-party integrations.

TypeScript is used to write Angular, which acts in accordance with JavaScript. It helps to detect coding mistakes and eliminate them as well.

RxJS enables the handling of asynchronous data calls while the app is functioning without affecting the performance.

It has a better dependency injection which results in decoupling the dependencies from the actual components. This helps in improving the performance score for the apps built using Angular.

AngularJS Development: Drawbacks and their Possible Solutions

Challenging learning curve

It’s challenging to learn and adapt to this framework owing to the availability of limited documentation. Moreover, developers, who are not well versed in the MVC approach, find it difficult and time-consuming to master it. So, to reap the benefits of Angular, you must hire Angular developers who are skilled and experienced. Also, the Angular community is extending and improving and its support could be the savior sooner or later.

Dependency on JavaScript support

JavaScript support is essential to access AngularJS websites which is absent in many old versioned devices like PCs and laptops. This may lead to less-usage of the apps developed on AngularJS. However, such devices are rare these days.

Heavy Framework

Angular, being a bulky framework with numerous functions, works well for complex and large scale apps only. These functionalities confuse developers, consume more time to get implemented, and are not required in building smaller applications with simpler requirements.

Debugging Scopes

Angular is organized and layered in a hierarchical manner, hence scopes can be difficult to manage and handle if the developer does not have prior knowledge of Angular. Debugging the scope is one of the difficult tasks too.

Other drawbacks of Angular

Angular offers limited options for SEO and so search engine crawlers are not easily accessible.

Angular developers face hiccups as the official CLI documentation available on GitHub, lacks sufficient information.

Implementation of features like directives, dependency injections, becomes complicated and time-intensive for developers without prior Angular experience.

Backward compatibility issues

Final verdict

Angular is a sophisticated framework that facilitates the creation of dynamic and cutting-edge web and mobile apps. Like other frameworks, Angular also has its share of shortcomings. But, its strengths undoubtedly overpower its drawbacks.

Looking for an Angular App Development Company to architect classic apps for your business? Well then, try Biz4Solutions, a noteworthy mobile app development company! We have 9+ years of experience in providing outstanding AngularJS development services to our global clients.

[regulardomainname]

How Plugins Work

Since its launch in 2003, WordPress has evolved from a modest blogging platform into the world’s leading content management system. Today, this famous CMS powers a quarter of all live websites, with endlessly customizable templates and skins. However, the core program code doesn’t always meet the needs of more specialized clients. This is where plugins come in… What are plugins? These individual pieces of code are the WordPress equivalent of apps being downloaded onto a smartphone. Complementing the basic WordPress framework, they deliver additional functionality by performing specific tasks. Written in PHP and containing anything from image files to cascading style sheets, plugins are easily integrated through the WordPress API. Over 52,000 plugins have been launched to date via the official WordPress directory, with thousands of others hosted on third-party platforms like Github. And since the code is relatively straightforward to develop, many people have created exclusive plugins specifically for their own websites. What’s in a plugin? Each uniquely named plugin contains a header, which normally details its version and author alongside a basic description of its functionality. Below this, code snippets perform specific tasks, such as image rescaling or activating Google Fonts. Some plugins have a single job to do, whereas others deliver comprehensive and complementary solutions. For instance, the WooCommerce plugin is an incredibly powerful ecommerce tool handling a spectrum of payment and shipping options, including discounts and memberships. We consider some of the other leading WordPress plugins below, demonstrating their relationship to the standard framework. Once they’ve been installed, WordPress plugins are stored in a dedicated directory on the host website server. As each page loads, the platform investigates and determines whether any plugins are present. Known as hooks, these placeholders activate plugins that perform an action or filter a result. For instance, a filter hook for contact forms could weed out spam messages. From an administrator’s perspective, each installed plugin will automatically activate; the only limitation involves when it can be called into action. It’s also important not to cause conflicts by asking two plugins to perform the same job, or to complete mutually exclusive outcomes. If this happens, a plugin can be deactivated or deleted through the WordPress user dashboard. These are ten WordPress plugins that have significantly improved the platform – sometimes in ways the original WordPress.org developers might never have thought of: * Yoast SEO. Perhaps the greatest plugin of all time, Yoast’s SEO improvement guides can be used by complete beginners to improve their site’s search engine performance. * Jetpack. An in-house creation by WordPress, Jetpack’s features range from content backups and brute force protection to traffic analysis and image optimization. * Mapify.it. Building on Google’s impressive high resolution satellite mapping, Mapify.it adds features ranging from mouseover actions to pop-up image galleries. * Akismet. Akismet is a leading tool for identifying and deleting spam/junk comments received through contact forms, keeping a detailed record of everything it does. * BackupBuddy. Data loss is a risk for any business, so BackupBuddy simplifies the duplication of online content with a few mouse clicks. * Google XML Sitemaps. Telling Google’s web crawlers which pages can be viewed and how they all interconnect has a markedly positive effect on SEO performance. * Floating Social. Being able to re-post online content is crucial, and Floating Social offers one-click sharing through customizable buttons that scroll with each page. * Wordfence Security. Available in free or paid-for premium versions, Wordfence filters live traffic while providing malware scanning and 2FA login security. * Envira Gallery. Envira creates dynamic image galleries that display well on smaller screens. It can also watermark every image, preventing copyright infringement. * Query Monitor. Perhaps ironically, Query Monitor identifies plugins that are slowing page loading times, enabling administrators to patch or delete them. It’s worth noting that free WordPress plugins sometimes become obsolete, or suddenly disappear without warning. Their absence may instantly compromise site functionality or security. While high-profile or paid-for plugins are unlikely to vanish without warning, the developers behind home-made code snippets may be unable or unwilling to maintain their creations long term. As a result, webmasters need to undertake regular inspections, to ensure everything is working properly. http://dlvr.it/Q251zj www.regulardomainname.com

[uscitizenclothing]

An In-Depth Look at Iris, a New Decentralized Social Network

Cryptocurrency advocates have been discussing a new social media platform designed by one of Bitcoin’s earliest developers Martti Malmi, otherwise known as Sirius. The project he designed, called Iris, is a social networking application that stores and indexes everything on the user’s devices and connects directly with peers rather than using centralized and privacy-invasive algorithms. Also read: Coinex Exchange Lists the first SLP-Based Stablecoin Built on Bitcoin Cash

Former Bitcoin Developer Creates Social Networking That Uses Cryptographic Key Pairs

Over the last decade, people have been on the hunt for the ultimate decentralized social networking experience that puts users 100% in control of their data. This quest has been a holy grail of sorts for cryptocurrency proponents as well as those who believe digital assets will be integral in driving a proper social media solution. There have been a few attempts where people have tried to design decentralized versions of Twitter and Facebook but so far none of them have really caught on. Although, one application called Memo.cash, a platform that utilizes the Bitcoin Cash (BCH) network, has gained some traction since it first launched over a year ago. The Iris platform created by one of Bitcoin’s earliest programmers, Martti Malmi, is another social networking alternative that is quite different than its centralized predecessors.

Iris stores and indexes everything on the user side and in the back end it uses cryptographic key pairs and a reputation system called the web of trust. The application promises to offer a social media experience that cannot be censored by authoritarian governments and it’s not controlled by a giant corporation. Iris aims to curb trolling and eliminate spam and advertisements that can be found on most of today’s social media networks. “Iris is a social networking application that stores and indexes everything on the devices of its users and connects directly with peers who run the application – no corporate gatekeepers needed,” explains the software’s Github repository documentation.

Testing the Social Networking Platform

To provide an idea of what this application has to offer, I created an account on Iris on June 13. Iris is available to use at three different domains, iris.to, iris.cx and irislib.github.io, but it also offers browser extensions for Chrome and Firefox. Moreover, there are plans for an Electrum desktop app with Bluetooth and LAN peer finding. When using Iris, similarly to posting onchain using Memo.cash, everything you post is public.

To create an account on Iris I simply pressed the login tab and wrote my name in the new user field. Existing Iris users can paste their private key or drop the key file in the login window below. After creating a new account the software gave me access to the Iris dashboard where I can post and change my profile settings. In order to get a feed going in order to upvote friends, you can ask people for their QR codes to scan in order to make their posts visible. You can also browse an Iris address book as a starting point so you can follow other people’s posts.

In the settings section, you can gain access to your private key and it’s good to remember that if you log out you cannot log back in without the private key backup. When creating your account make sure you back up the Iris private key in the settings section. When you start to use Iris over time, by following a list of users and upvoting content, you start building upon what Iris calls the ‘web of trust.’ Essentially when you upvote another Iris user they become your first-degree contact, following this the accounts they upvote become secondary contacts and so on. This is how the web of trust builds and you can filter this scheme while also having the power to downvote. “This way we can avoid spam and other unwanted content without giving power to central moderators,” the Iris documentation notes. “You can also add to your contacts list and rate people and organizations who are not yet on Iris.”

Web of Trust, GUN, and IPFS Solutions

On top of this, identity verifications can take place by utilizing peers trusted by your web of trust. For instance, if you lost the private key to your account you can simply create a new one and link your old Iris data by asking your web of trust for verifications. Iris creators have revealed other concepts that could be tied to Iris like cryptocurrency wallets. Digital asset wallet curators could design an Iris-based human-recognizable identity system that’s tethered to payment addresses. The developer specifications say that Iris could be used instead of telecom-bound phone numbers on mobile messaging apps like Signal. Additionally, users can opt to connect imports from existing services and have them digitally signed for verification purposes. “In other words: message author and signer can be different entities, and only the signer needs to be on Iris — For example, a crawler can import and sign other people’s messages from Twitter,” Iris developers theorized. “Only the users who trust the crawler will see the messages.”

A look at how a user can post and follow the feed of people they choose to follow. Users can also create polls. Getting used to Iris takes a few minutes, but after getting the hang of the interface it works quite well. Malmi’s creation still has an incredibly large hurdle to overcome which is attracting an active user base. This issue is what every decentralized social media app faces because it’s not really an enjoyable experience with no active people. Still, Iris offers what most incumbent social media giants don’t, which is decentralization stemming from messages and contacts stored and indexed on GUN and IPFS for backups. Moreover, other social media applications have issues with profiles being cloned in a malicious manner and Iris greets identity and reputation head-on. With more activity, Iris could become a successful social network. The problem is that enticing people to switch over is easier said than done. What do you think about Martti Malmi’s social networking platform Iris? Let us know what you think about this subject in the comments section below. Disclaimer: This editorial is intended for informational purposes only. Readers should do their own due diligence before taking any actions related to the mentioned organization, social media platform, software or any of its affiliates or services. Bitcoin.com or the author is not responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article. Image credits: Shutterstock, Twitter-Martti Malmi’s profile, Iris, Jamie Redman, and Pixabay. Did you know you can verify any unconfirmed Bitcoin transaction with our Bitcoin Block Explorer tool? Simply complete a Bitcoin address search to view it on the blockchain. Plus, visit our Bitcoin Charts to see what’s happening in the industry. Tags in this story Bitcoin, Cryptocurrency, Decentralized, Decentralized Social Media, gun, Identity, IPFS, Iris, Key Pairs, Martti Malmi, N-Technology, Private Key, public key, Reputation, Sirius, Social Media, Social networking, Web-of-Trust

Jamie Redman Jamie Redman is a financial tech journalist living in Florida. Redman has been an active member of the cryptocurrency community since 2011. He has a passion for Bitcoin, open source code, and decentralized applications. Redman has written thousands of articles for news.Bitcoin.com about the disruptive protocols emerging today. Source link Read the full article