My presentation from Optimise Oxford in November 2016.
In it I discuss why you should be making use of server logs, and how to go about utilising them.
Log File Analysis: The most powerful tool in your SEO toolkitTom Bennet
Slide deck from Tom Bennet's presentation at Brighton SEO, September 2014. Accompanying guide can be found here: http://builtvisible.com/log-file-analysis/
Image Credits:
https://www.flickr.com/photos/nullvalue/4188517246
https://www.flickr.com/photos/small_realm/11189803763/
https://www.flickr.com/photos/florianric/7263382550
http://fotojenix.wordpress.com/2011/07/08/weekly-photo-challenge-old-fashioned/
Elasticsearch Distributed search & analytics on BigData made easyItamar
Elasticsearch is a cloud-ready, super scalable search engine which is gaining a lot of popularity lately. It is mostly known for being extremely easy to setup and integrate with any technology stack.In this talk we will introduce Elasticdearch, and start by looking at some of its basic capabilities. We will demonstrate how it can be used for document search and even log analytics for DevOps and distributed debugging, and peek into more advanced usages like the real-time aggregations and percolation. Obviously, we will make sure to demonstrate how Elasticsearch can be scaled out easily to work on a distributed architecture and handle pretty much any load.
Dan Sullivan - Data Analytics and Text Mining with MongoDB - NoSQL matters Du...NoSQLmatters
Data analysis is an exploratory process that requires a variety of tools and a flexible data store. Data analysis projects are easy to start but quickly become difficult to manage and error prone when depending on file-based data storage. Relational databases are poorly equipped to accommodate the dynamic demands complex analysis. This talk describes best practices for using MongoDB for analytics projects. Examples will be drawn from a large scale text mining project (approximately 25 million documents) that applies machine learning (neural networks and support vector machines) and statistical analysis. Tools discussed include R, Spark, Python scientific stack, and custom pre-processing scripts but the focus is on using these with the document database.
Log File Analysis: The most powerful tool in your SEO toolkitTom Bennet
Slide deck from Tom Bennet's presentation at Brighton SEO, September 2014. Accompanying guide can be found here: http://builtvisible.com/log-file-analysis/
Image Credits:
https://www.flickr.com/photos/nullvalue/4188517246
https://www.flickr.com/photos/small_realm/11189803763/
https://www.flickr.com/photos/florianric/7263382550
http://fotojenix.wordpress.com/2011/07/08/weekly-photo-challenge-old-fashioned/
Elasticsearch Distributed search & analytics on BigData made easyItamar
Elasticsearch is a cloud-ready, super scalable search engine which is gaining a lot of popularity lately. It is mostly known for being extremely easy to setup and integrate with any technology stack.In this talk we will introduce Elasticdearch, and start by looking at some of its basic capabilities. We will demonstrate how it can be used for document search and even log analytics for DevOps and distributed debugging, and peek into more advanced usages like the real-time aggregations and percolation. Obviously, we will make sure to demonstrate how Elasticsearch can be scaled out easily to work on a distributed architecture and handle pretty much any load.
Dan Sullivan - Data Analytics and Text Mining with MongoDB - NoSQL matters Du...NoSQLmatters
Data analysis is an exploratory process that requires a variety of tools and a flexible data store. Data analysis projects are easy to start but quickly become difficult to manage and error prone when depending on file-based data storage. Relational databases are poorly equipped to accommodate the dynamic demands complex analysis. This talk describes best practices for using MongoDB for analytics projects. Examples will be drawn from a large scale text mining project (approximately 25 million documents) that applies machine learning (neural networks and support vector machines) and statistical analysis. Tools discussed include R, Spark, Python scientific stack, and custom pre-processing scripts but the focus is on using these with the document database.
The MongoDB Spark Connector integrates MongoDB and Apache Spark, providing users with the ability to process data in MongoDB with the massive parallelism of Spark. The connector gives users access to Spark's streaming capabilities, machine learning libraries, and interactive processing through the Spark shell, Dataframes and Datasets. We'll take a tour of the connector with a focus on practical use of the connector, and run a demo using both Spark and MongoDB for data processing.
Introduction to several aspects of elasticsearch: Full text search, Scaling, Aggregations and centralized logging.
Talk for an internal meetup at a bank in Singapore at 18.11.2016.
At Stormpath we spent 18 months researching API design best practices. Join Les Hazlewood, Stormpath CTO and Apache Shiro Chair, as he explains how to design a secure REST API, the right way. He'll also hang out for a live Q&A session at the end.
Sign up for Stormpath: https://api.stormpath.com/register
More from Stormpath: http://www.stormpath.com/blog
Les will cover:
REST + JSON API Design
Base URL design tips
API Security
Versioning for APIs
API Resource Formatting
API Return Values and Content Negotiation
API References (Linking)
API Pagination, Parameters, & Errors
Method Overloading
Resource Expansion and Partial Responses
Error Handling
Multi-tenancy
URL shorteners like bit.ly, goo.gl, or t.co are ubiquitous on today’s Web and serve a purpose, which, as the title suggests, is to shorten URLs. However, there is a lot more that URL shorteners can do. For example, learn how to create bit.ly bundles, use goo.gl to generate QR codes that link to anything on the web, see how Twitter automatically shortens URLs using t.co, and discover valuable analytic data on who is clicking on and sharing your links.
Big Data with BigQuery, presented at DevoxxUK 2014 by Javier Ramirez from teo...javier ramirez
Big data is amazing. You can get insights from your users, find interesting patterns and have lots of geek fun. Problem is big data usually means many servers, a complex set up, intensive monitoring and a steep learning curve. All those things cost money. If you don’t have the money, you are losing all the fun.
In my talk I show you how you can use Google BigQuery to manage big data from your application using a hosted solution. And you can start with less than $1 per month.
MongoDB Days Silicon Valley: Winning the Dreamforce Hackathon with MongoDBMongoDB
Presented by Greg Deeds, CEO, Technology Exploration Group
Experience level: Introductory
A two person team using MongoDB and Salesforce.com created a geospatial machine learning tool from various datasets, parsing, indexing, and mapreduce in 24 hours. The amazing hack that beat 350 teams from around the world designer Greg Deeds will speak on getting to the winners circle with MongoDB power. It was MongoDB that proved to be the teams secret weapon to level the playing field for the win!
The webinar will present the SemaGrow demonstrator “Web Crawler + AgroTagger”, in order to collect feedback, ideas and comments about the status of the development and how the demonstrator helps to overcome data problems.
SemaGrow is a project funded by the Seventh Framework Programme (FP7) of the European Commission, aiming at developing algorithms, infrastructures and methodologies to cope with large data volumes and real time performance.
In this context, FAO is providing a component than can be used to crawl the Web, giving a meaning to discovered resources by using the AgroTagger, which can assign some AGROVOC URIs to resources gathered by a Web crawler.
The demonstrator is publicly available at https://github.com/agrisfao/agrotagger.
With the popularization of github, the lack of security control in commits has exposed several sensitive data that can compromise both companies and ordinary users. To make the search easier, I've created a script to automate and collect the results. This script is in version 2.0 with some implementations and improvements in the code, I will demonstrate how to perform the collection and how this can cause a great impact.
Deep Dive on ElasticSearch Meetup event on 23rd May '15 at www.meetup.com/abctalks
Agenda:
1) Introduction to NOSQL
2) What is ElasticSearch and why is it required
3) ElasticSearch architecture
4) Installation of ElasticSearch
5) Hands on session on ElasticSearch
TechSEO Boost 2017: SEO Best Practices for JavaScript T-Based WebsitesCatalyst
While providing a dynamic and fast user experience, JavaScript-based sites (SPAs/PWAs) are not always “SEO friendly.” Therefore, it is crucial for developers to understand how search engines crawl, parse, eventually render, and index dynamic websites, to make sure bots get the experience they developed and the content of the site.
The MongoDB Spark Connector integrates MongoDB and Apache Spark, providing users with the ability to process data in MongoDB with the massive parallelism of Spark. The connector gives users access to Spark's streaming capabilities, machine learning libraries, and interactive processing through the Spark shell, Dataframes and Datasets. We'll take a tour of the connector with a focus on practical use of the connector, and run a demo using both Spark and MongoDB for data processing.
Introduction to several aspects of elasticsearch: Full text search, Scaling, Aggregations and centralized logging.
Talk for an internal meetup at a bank in Singapore at 18.11.2016.
At Stormpath we spent 18 months researching API design best practices. Join Les Hazlewood, Stormpath CTO and Apache Shiro Chair, as he explains how to design a secure REST API, the right way. He'll also hang out for a live Q&A session at the end.
Sign up for Stormpath: https://api.stormpath.com/register
More from Stormpath: http://www.stormpath.com/blog
Les will cover:
REST + JSON API Design
Base URL design tips
API Security
Versioning for APIs
API Resource Formatting
API Return Values and Content Negotiation
API References (Linking)
API Pagination, Parameters, & Errors
Method Overloading
Resource Expansion and Partial Responses
Error Handling
Multi-tenancy
URL shorteners like bit.ly, goo.gl, or t.co are ubiquitous on today’s Web and serve a purpose, which, as the title suggests, is to shorten URLs. However, there is a lot more that URL shorteners can do. For example, learn how to create bit.ly bundles, use goo.gl to generate QR codes that link to anything on the web, see how Twitter automatically shortens URLs using t.co, and discover valuable analytic data on who is clicking on and sharing your links.
Big Data with BigQuery, presented at DevoxxUK 2014 by Javier Ramirez from teo...javier ramirez
Big data is amazing. You can get insights from your users, find interesting patterns and have lots of geek fun. Problem is big data usually means many servers, a complex set up, intensive monitoring and a steep learning curve. All those things cost money. If you don’t have the money, you are losing all the fun.
In my talk I show you how you can use Google BigQuery to manage big data from your application using a hosted solution. And you can start with less than $1 per month.
MongoDB Days Silicon Valley: Winning the Dreamforce Hackathon with MongoDBMongoDB
Presented by Greg Deeds, CEO, Technology Exploration Group
Experience level: Introductory
A two person team using MongoDB and Salesforce.com created a geospatial machine learning tool from various datasets, parsing, indexing, and mapreduce in 24 hours. The amazing hack that beat 350 teams from around the world designer Greg Deeds will speak on getting to the winners circle with MongoDB power. It was MongoDB that proved to be the teams secret weapon to level the playing field for the win!
The webinar will present the SemaGrow demonstrator “Web Crawler + AgroTagger”, in order to collect feedback, ideas and comments about the status of the development and how the demonstrator helps to overcome data problems.
SemaGrow is a project funded by the Seventh Framework Programme (FP7) of the European Commission, aiming at developing algorithms, infrastructures and methodologies to cope with large data volumes and real time performance.
In this context, FAO is providing a component than can be used to crawl the Web, giving a meaning to discovered resources by using the AgroTagger, which can assign some AGROVOC URIs to resources gathered by a Web crawler.
The demonstrator is publicly available at https://github.com/agrisfao/agrotagger.
With the popularization of github, the lack of security control in commits has exposed several sensitive data that can compromise both companies and ordinary users. To make the search easier, I've created a script to automate and collect the results. This script is in version 2.0 with some implementations and improvements in the code, I will demonstrate how to perform the collection and how this can cause a great impact.
Deep Dive on ElasticSearch Meetup event on 23rd May '15 at www.meetup.com/abctalks
Agenda:
1) Introduction to NOSQL
2) What is ElasticSearch and why is it required
3) ElasticSearch architecture
4) Installation of ElasticSearch
5) Hands on session on ElasticSearch
TechSEO Boost 2017: SEO Best Practices for JavaScript T-Based WebsitesCatalyst
While providing a dynamic and fast user experience, JavaScript-based sites (SPAs/PWAs) are not always “SEO friendly.” Therefore, it is crucial for developers to understand how search engines crawl, parse, eventually render, and index dynamic websites, to make sure bots get the experience they developed and the content of the site.
Technical SEO: Crawl Space Management - SEOZone Istanbul 2014Bastian Grimm
My talk at #SEOZone 2014 in Istanbul covering various aspects of crawl space optimization such as crawler control & indexation strategies as well as site speed.
Search engines have come a long way in understanding JavaScript, but issues with rendering and load times can still impact your crawl budget and prevent search engines from indexing valuable content!
Finding the optimal solution that provides the best user experience, whilst also satisfying the bots can be a challenge. This talk will cover the differences between these solutions, a number of tools and metrics you can use, and other significant considerations to take into account when proposing a rendering solution to your developers.
Learn advanced SEO tactics and strategies in this second installment of my Demand Quest course. Topics include local SEO, link building, and international SEO.
The relationship between rankings and technical SEOOmi Sido
Far too often, digital marketers isolate technical SEO from rank strategy and far too often we see that simple technical issues can sabotage even the best SEO efforts. Technical SEO should be inseparable from your overall SEO/Digital Marketing Strategy.
From Click Consult's Benchmark Search Conference 2018, Hilton Manchester Deansgate, 5th September. Presented by Omi Sido, Senior Technical SEO, Canon Europe.
How Googlebot Renders (Roleplaying as Google's Web Rendering Service-- D&D st...Jamie Indigo
Roleplay as a fearless Technical SEO who must pass through Google's Web Rendering Service (WRS), a legendary construct, as part of a mission to protect site visibility.
Panel: 'Think like a bot, rank like a boss' from BrightonSEO September 2019
SEO Audit Tools, Tips and Tricks - SMX West 2016Benj Arriola
Tools used for SEO Audits, from the technical side, content side and link profile analysis side. For all links going to the tools, they will be added on: http://engineering.thecontrolgroup.com/tools-for-running-seo-audits-an-smx-presentation/
BrightonSEO 2017 - SEO quick wins from a technical checkChloe Bodard
Actionable advice to drive more traffic and revenue to your site from carrying out a technical check. These slides look at technical issues such as 301 redirects, robots.txt files and crawl budget, sitemaps, canonical tags and optimisation, which can all be found by using the technical SEO tools, Screaming Frog, Deep Crawl, Google Search Console and Google Analytics.
What can you expect from these slides?
- To learn which key technical issues to look out for.
- To learn how these technical issues impact your SEO.
- To learn how to fix these technical issues for SEO quick wins.
Similar to Using server logs to your advantage (20)
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
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We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
17. @alex_cestrian #OptimiseOxford
Why are orphan pages bad?
• There may be a lot of them, and they may be
competing with your ‘live’ content
• They waste GoogleBot’s crawl budget for your
domain
19. @alex_cestrian #OptimiseOxford
Upload a crawl of your website (from SF, DeepCrawl etc)
URLs that return a 200 ✅ status code… that don’t appear in the crawl of
your site
20. @alex_cestrian #OptimiseOxford
Redundant content,
off little value
404/410 status code
Relevant, valuable but
out-of-date
301 redirect to
relevant live page
Useful content that
orphaned accidentally
Re-attach the page to
the website
27. @alex_cestrian #OptimiseOxford#OptimiseOxford
• Is this URL in the xml sitemap?
• Is the page too deep within the architecture?
• Is internal linking to this page optimal?
• Are links to this page travelling through multiple redirects?
• Can GoogleBot actually parse the links pointing to this page?
I’m going to talk you through 3 scenarios where logs files can help you.
I’m going to talk you through 3 scenarios where logs files can help you.
This is a raw server log file. Boring isn’t it? So what do you do with this?
Well there are a few options including tools like Botify and OnCrawl, but one of the most usable, affordable (and idiot-friendly ones) that has come onto the market in the past few years is Log Analyzer from Screaming Frog.
It’s really easy to use, you can drag and drop your raw log files (or a zip file) directly into the program, and it sorts them out into manageable sets of data.
By default the Log File Analyser only analyses search engine bot events, so the ‘Store Bot Events Only (Improves Performance)’ box is ticked. We recommend keeping this setting ticked, as it massively reduces time required to only have to store and compile search bots, rather than all event data from users and other User Agents.
And you end up with a pretty dashboard like this. Doing that alone isn’t going to solve anything, so I’m not going to show you….
3 actionable scenarios where logs files can help you do your job….
Let’s start with what is an orphan page?
Some websites stop linking old content that is expired and do not deliver the right status code (like a 404 or a redirect to a newer version). The expired page is thus still available.
What do you do with orphan pages when you identify them?
What do you do with orphan pages when you identify them?
Look for large quantities of parameter driven pages, and combinations of parameters. These will often be areas where GoogleBot is losing time and wasting resource.
One common example of this is on Wordpress blogs. You’ll often find things like this in your log files/
If you see category pages or main service pages at the top of this list – further investigation is much needed.
Investigate why these pages haven’t been visited by search engines;
Review each bot event for these URLs.
Oliver Mason put this eloquently in his recent talk at the Brighton SEO conference:
That’s just an overview of a few things you can do with log files. Once you start playing around and analysing the data, it’s really rather interesting.