# Please bring back the Foundation articles **URL:** \ **Category:** Meta Elastic\ **Created:** [August 26, 2015, 9:47am UTC](https://discuss.elastic.co/t/please-bring-back-the-foundation-articles/28084 "2015-08-26T09:47:23Z")\ **Posts on this page:** 1\ **Showing post:** 3
**Author:** ![cwurm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/cwurm/32/34882_2.png) [@cwurm](https://discuss.elastic.co/u/cwurm)\ **Post date:** [August 26, 2015, 11:52am UTC](https://discuss.elastic.co/t/please-bring-back-the-foundation-articles/28084/3 "2015-08-26T11:52:08Z")
Hi Sigurd, the Foundation articles still exist on found.no, but you need the exact URLs to access them. Here's a list: > **[Analyzing Weblogs with Elasticsearch in the Cloud, Part 2 | Elastic](https://www.elastic.co/blog/found-analyzing-weblogs-with-elasticsearch-part-2)** > > This is part two in the series about using Elasticsearch, Kibana and Logstash with Found by Elastic. In the previous post, we used Logstash 1.5 and Kibana 4.02 to communicate with Elasticsearch in the cloud. This time we will use Logstash to feed... > **[Analyzing Weblogs with Elasticsearch in the Cloud, Part 1 | Elastic](https://www.elastic.co/blog/found-analyzing-weblogs-with-elasticsearch)** > > This is part one of a two post blog series, aiming to demonstrate how to feed logs from IIS into Elasticsearch and Kibana via Logstash, using the hosted services provided by Found by Elastic. This post will deal with setting up the basic... > **[Troubleshooting Elasticsearch searches, for Beginners | Elastic](https://www.elastic.co/blog/found-beginner-troubleshooting)** > > We'll look at common problems when getting started with Elasticsearch. > **[BM25 vs Lucene Default Similarity | Elastic](https://www.elastic.co/blog/found-bm-vs-lucene-default-similarity)** > > A follow up on the similarity article where we compare the precision and recall of the two models using Wikipedia articles. [https://www.found.no/foundation/city-bikes-and-Elasticsearch-facets/](https://www.found.no/foundation/city-bikes-and-Elasticsearch-facets/) > **[City Bikes Part two | Elastic](https://www.elastic.co/blog/found-city-bikes-reindexing-for-filters)** > > In this article we will look at basic memory optimization of our queries and while doing so, we will write a small script for reindexing our data. > **[Managing Elasticsearch with Found | Elastic](https://www.elastic.co/blog/found-cluster-management)** > > Found provides hosted Elasticsearch as a service. Our goal is to make it effortless to provision and manage clusters, whether they are for production, staging or just experimenting. This article briefly describes how to spin up a cluster, as well as... > **[Six Ways to Crash Elasticsearch | Elastic](https://www.elastic.co/blog/found-crash-elasticsearch)** > > As much as we love Elasticsearch, at Found we've seen customers crash their clusters in numerous ways. Mostly due to simple misunderstandings and usually the fixes are fairly straightforward. In our quest to enlighten new adopters and entertain the... > **[A Dive into the Elasticsearch Storage | Elastic](https://www.elastic.co/blog/found-dive-into-elasticsearch-storage)** > > In this article we'll investigate the files written to the data directory by various parts of Elasticsearch. We will look at node, index and shard level files and give a short explanation of their contents in order to establish an understanding of... > **[Document Processing and Elasticsearch | Elastic](https://www.elastic.co/blog/found-document-processing)** > > Raw documents from the source database or server may need some extra processing before being indexed in Elasticsearch. In this article, we consider a few different options for this processing. > **[Elasticsearch's New Aggregations | Elastic](https://www.elastic.co/blog/found-elasticsearch-aggregations)** > > Elasticsearch's faceting feature has made it extremely popular not just for realtime search, but also for analytics. With its new aggregations framework, it'll take you even further. > **[Elasticsearch and the Discovery Plugin | Elastic](https://www.elastic.co/blog/found-elasticsearch-and-the-discovery-plugin)** > > The Zen discovery plugin might seem like magic, but replacing it is actually not that hard. Getting down and dirty with Zen might very well pay off in your particular setup. > **[Elasticsearch as a NoSQL Database | Elastic](https://www.elastic.co/blog/found-elasticsearch-as-nosql)** > > Can Elasticsearch be used as a > **[Managing Elasticsearch Fields When Searching | Elastic](https://www.elastic.co/blog/found-managing-elasticsearch-fields-when-searching)** > > Controlling the number of fields returned for search requests is an important aspect of maximizing Elasticsearch's performance. In this article we'll look at how we can selectively return only the fields we're interested in for each search hit in... > **[Elasticsearch from the Bottom Up, Part 1 | Elastic](https://www.elastic.co/blog/found-elasticsearch-from-the-bottom-up)** > > In this article series, we look at Elasticsearch from a new perspective. We'll start at the 'bottom' (or close enough!) of the many abstraction levels, and gradually move upwards towards the user-visible layers, studying the various internal data... > **[Elasticsearch in Production | Elastic](https://www.elastic.co/blog/found-elasticsearch-in-production)** > > Elasticsearch easily lets you develop amazing things, and it has gone to great lengths to make Lucene's features readily available in a distributed setting. However, when it comes to running Elasticsearch in production, you still have a fairly... > **[Elasticsearch Internals: an Overview | Elastic](https://www.elastic.co/blog/found-elasticsearch-internals)** > > This article gives an overview of the Elasticsearch internals. I will present a 10,000 foot view of the different modules that Elasticsearch is composed of and how we can extend or replace built-in functionality using plugins. > **[An Introduction to Elasticsearch Mapping | Elastic](https://www.elastic.co/blog/found-elasticsearch-mapping-introduction)** > > This article will give an introduction to the mapping feature of Elasticsearch. We'll define the key terms and take a closer look at what mapping is, when we specify it, how it is structured and how we can apply it to our data. > **[Elasticsearch Internals: Networking Introduction | Elastic](https://www.elastic.co/blog/found-elasticsearch-networking)** > > This article introduces the networking part of Elasticsearch. We look at the network topology of an Elasticsearch cluster, which connections are established between which nodes and how the different Java clients works. Finally, we look a bit closer... > **[Elasticsearch Plugin Types | Elastic](https://www.elastic.co/blog/found-elasticsearch-plugin-types)** > > In order to write a great plugin, we need to have an overview of the different plugin types and scopes Elasticsearch has made available to us. This article gives a rundown of these and also some tips on how to write a 'well behaved' plugin. > **[Securing Your Elasticsearch Cluster | Elastic](https://www.elastic.co/blog/found-elasticsearch-security)** > > Elasticsearch does not perform authentication or authorization, leaving that as an exercise for the developer. This article gives an overview of things to keep in mind when you configure the security settings for your Elasticsearch cluster, providing... > **[Snapshot and Restore | Elastic](https://www.elastic.co/blog/found-elasticsearch-snapshot-and-restore)** > > Let's take a closer look at Elasticsearch's snapshot and restore module and the files used to store snapshots, exemplified with snapshots on S3. > **[Elasticsearch from the Top Down | Elastic](https://www.elastic.co/blog/found-elasticsearch-top-down)** > > The previous article in this series, Elasticsearch from the Bottom Up, covered essential data structures within a single shard. In this article, we will look at the distributed nature of Elasticsearch. > **[Elasticsearch Upgrade Guide as Seen by the Client | Elastic](https://www.elastic.co/blog/found-elasticsearch-upgrade-guide)** > > Upgrading a system is one thing. Usually it involves taking a backup, doing the upgrade and then verifying everything is OK. Upgrading a system that your software depends on can be quite a different experience. In particular when the task is long... > **[Extending the Scripts Module | Elastic](https://www.elastic.co/blog/found-extending-the-scripting-module)** > > You can use this post as a starting point to make a language plugin for any scripting engine that implements the JSR-223 interfaces. > **[Full-Text Search is an Input-Oriented Task | Elastic](https://www.elastic.co/blog/found-full-text-search-is-an-input-oriented-task)** > > Full-text search is an interesting field for backend developers: it requires raw technical knowledge, knowledge about the input languages and lots of feedback gathering on the usability side. In this article, I'd like to give you a rough overview of... > **[A Gentle Intro to Function Scoring | Elastic](https://www.elastic.co/blog/found-function-scoring)** > > We'll cover the basics of scoring using functions while taking a look at some use cases where functional scoring techniques are highly useful and effective. > **[How to Use Fuzzy Searches in Elasticsearch | Elastic](https://www.elastic.co/blog/found-fuzzy-search)** > > Elasticsearch's Fuzzy query is a powerful tool for a multitude of situations. Username searches, misspellings, and other funky problems can oftentimes be solved with this unconventional query. In this article we clarify the sometimes confusing... > **[Combining Geo Points With the Elasticsearch Percolator | Elastic](https://www.elastic.co/blog/found-geo-points-and-elasticsearch-percolator)** > > Elasticsearch has some very good support for geo locations. You can store locations, use distances to filter and even use distances to group using aggregations. Elasticsearch also has something called geo shapes - no worries, we'll explain later on... > **[Getting Started with LIRE and Elasticsearch | Elastic](https://www.elastic.co/blog/found-getting-started-with-lire-and-elasticsearch)** > > LIRE (Lucene Image REtrieval) is a plugin for Lucene to index and search images. A cool and quirky feature that sets it apart is that it does content based retrieval, a fancy word for saying that you use images in your search query and it retrieves... > **[Indexing for Beginners, Part 1 | Elastic](https://www.elastic.co/blog/found-indexing-for-beginners-part1)** > > I am not a programmer, so I endeavoured to understand what Found's developers were talking about by starting to read up on the basics of search engine indexing. Finding documents that describe search engine indexing was easy. Understanding them at a... > **[Indexing for Beginners, Part 2 | Elastic](https://www.elastic.co/blog/found-indexing-for-beginners-part2)** > > We continue the Indexing for beginners article with an introduction to the document parsing process and use some space to explain the concept of tokenization and tokens. > **[Indexing for Beginners, Part 3 | Elastic](https://www.elastic.co/blog/found-indexing-for-beginners-part3)** > > In the previous article we looked at how search engines parses, analyzes and tokenizes text. In this article we will explore in more detail what an index looks like. > **[Interfacing with Elasticsearch: Picking a Client | Elastic](https://www.elastic.co/blog/found-interfacing-elasticsearch-picking-client)** > > When starting using Elasticsearch, it's easy to get confused about all the different ways to connect to Elasticsearch and why one of them should be preferred over the other. In this article we'll provide an overview of the different client types... > **[Java Clients for Elasticsearch | Elastic](https://www.elastic.co/blog/found-java-clients-for-elasticsearch)** > > One of the important aspects of Elasticsearch is that it is programming language independent. All of the APIs for indexing, searching and monitoring can be accessed using HTTP and JSON so it can be integrated in any language that has those... > **[Keeping Elasticsearch in Sync | Elastic](https://www.elastic.co/blog/found-keeping-elasticsearch-in-sync)** > > One of the trickiest parts of integrating Elasticsearch into an existing app is figuring out how to manage the flow of data from an authoritative data source, such as an SQL database, into Elasticsearch. In most cases this means utilizing... > **[Leader Election, Why Should I Care? | Elastic](https://www.elastic.co/blog/found-leader-election-in-general)** > > Leader election is one of the most tricky things to do in distributed systems. At same time, understanding how a leader is elected and the responsibilities of the leader is key to understanding a distributed system. > **[Logstash on OpenShift | Elastic](https://www.elastic.co/blog/found-logstash-openshift)** > > Get started analyzing your logs on OpenShift. While OpenShift lets you tail the logs of your apps, the Elasticsearch/Logstash/Kibana trinity gives you a very flexible and powerful toolchain to visualize and analyze these logs. This article explains... > **[A Data Exploration Workflow for Mappings | Elastic](https://www.elastic.co/blog/found-mapping-workflow)** > > In this article we explore a workflow for exploring new data via mapping refinements. We index an example document, look at its default mapping and iteratively improve on it to get us one step closer to our goal. > **[Understanding the Memory Pressure Indicator | Elastic](https://www.elastic.co/blog/found-understanding-memory-pressure-indicator)** > > We all know memory is critical to Elasticsearch, but when should you add more? In the Found console we've included a memory pressure indicator so that you can easily check where your cluster is at in terms of memory usage and capacity. For those... > **[Discovering the Need for an Indexing Strategy in Multi-Tenant Applications ...](https://www.elastic.co/blog/found-multi-tenancy)** > > There are many buzzwords that may be applied to Elasticsearch. Multi-tenancy is one. Getting started with a multi-tenant use case can be deceptively easy - there are some pitfalls that will require a little careful design. > **[Optimizing Elasticsearch Searches](https://www.elastic.co/blog/found-optimizing-elasticsearch-searches)** > > Elasticsearch can query, filter and aggregate in many ways. Often there are several ways to solve the same problem – and possibly with very different performance characteristics. This article will cover some important optimizations that can buy you a... [https://www.found.no/foundation/presenting-play/](https://www.found.no/foundation/presenting-play/) > **[Scripting with Elasticsearch | Elastic](https://www.elastic.co/blog/found-scripting-elasticsearch)** > > Scripting is an important part of the toolbox of any Elasticsearch user, and enables evaluating custom expressions that may be used to synthesize fields or provide customized scoring. In this post we take a brief look at the upcoming changes to the... > **[Sense - a Cool JSON Aware Interface to Elasticsearch | Elastic](https://www.elastic.co/blog/found-sense-a-cool-json-aware-interface-to-elasticsearch)** > > This article will introduce you to Sense, a Chrome plugin for Elasticsearch. It offers autocompletion, code highlighting and formatting and can help you with exploring Elasticsearch. > **[Similarity in Elasticsearch | Elastic](https://www.elastic.co/blog/found-similarity-in-elasticsearch)** > > Elasticsearch now supports replacement of the default similarity model. In this article we will look into what a similarity model is with a special focus on tf-idf and bm25. > **[Sizing Elasticsearch | Elastic](https://www.elastic.co/blog/found-sizing-elasticsearch)** > > We're often asked 'How big a cluster do I need?', and it's usually hard to be more specific than 'Well, it depends!'. There are so many variables, where knowledge about your application's specific workload and your performance expectations are just... > **[All About Analyzers, Part One | Elastic](https://www.elastic.co/blog/found-text-analysis-part-1)** > > In this article we'll survey various analyzers, each of which showcases a very different approach to parsing text. > **[All About Analyzers, Part Two | Elastic](https://www.elastic.co/blog/found-text-analysis-part-2)** > > This is a follow up article where we'll continue to survey various analyzers, each of which showcases a very different approach to parsing text. > **[Uses of Elasticsearch, and Things to Learn | Elastic](https://www.elastic.co/blog/found-uses-of-elasticsearch)** > > Elasticsearch is used for a lot of different use cases: > **[Using Kibana for Business Intelligence | Elastic](https://www.elastic.co/blog/found-using-kibana-for-twitter-intelligence)** > > In this article we will set up a simple and easy to follow example on how to use Elasticsearch and Kibana for basic business intelligence. In our demo we will be using real world Twitter data which we'll feed into Elasticsearch and then inspect and... > **[Writing an Elasticsearch Plugin: Getting Started | Elastic](https://www.elastic.co/blog/found-writing-a-plugin)** > > Using plugins, it's possible to add new functionality to Elasticsearch without having to create a fork of Elasticsearch itself. In this article, we will go through the steps required to create a new Elasticsearch plugin from the ground up. > **[ZooKeeper - The King of Coordination | Elastic](https://www.elastic.co/blog/found-zookeeper-king-of-coordination)** > > Let's explore Apache ZooKeeper, a distributed coordination service for distributed systems. Needless to say, there are plenty of use cases! At Found, for example, we use ZooKeeper extensively for discovery, resource allocation, leader election and... Hope this helps Chris --- _[View the full topic](https://discuss.elastic.co/t/please-bring-back-the-foundation-articles/28084)._