Elastic Advent Calendar, 2020: the full recap!

Wow, it's finally here! After 25 fantastic articles we've reached the end of the 2020 Elastic Advent series. We've covered ECS, Synthetics, Monitoring Tekton tasks and pipelines, OpenTelemetry, log correlation with APM, Index patterns and tradeoffs for observability, Rank features, New data types, Phonetic search, Korean language search, Elasticsearch Rust Client, Searchable snapshots, ESM, Workplace Search, App Search, Data import/export, Data visualisation, Kibana Lens, Kibana Maps, Free trainings, Preparing your certification, Preparing interviews, and so much more. In the topics we've spoken in Chinese, English, French, German, Korean, Russian and Spanish. We hope you have enjoyed the posts, topics and information shared in them from our engineers. Here's a recap of the final few days, as well as a summary from all 25 days. The 25 days of ElasticDec 1 [english] — Synthetics: proactive problem detection (Elasticsearch and Python - tools for a data scientist), by Ahil PonArul Elastic is excited to introduce synthetic monitoring to our Uptime solution. This allows for more advanced uptime checks beyond basic pings. Combined with our new User Experience UI it also enables proactive problem detection. This is a step by step example of how to set Synthetics up, as well as integrate it with APM. Dec 2 [german] — Aufgemerkt & zugehört! Bessere Suchresultate mit phonetischer Suche, by Alexander Reelsen  Phonetische Suche ist eine Möglichkeit, nach ähnlichen klingenden Termen zu suchen, indem ein phonetischer Hash im invertierten Index gespeichert wird. In diesem Artikel schauen wir uns einige unterschiedliche phonetische Algorithmen in Elasticsearch an und wie diese die eigene Suche verbessern können. Dec 3 [english] — Cross version Elasticsearch data migration with ESM, by Medcl Zeng I heard that you are using Elasticsearch, that's great as, you know for search, it is the best choice, and it is evolving very fast. There are so many new and nice features coming up or already that i guess you can't wait to upgrade to the latest version, right? This blog post will explain how ESM could help to do your data migration. Dec 4 [english] — Validate Elastic Common Schema (ECS) fields using Security Detection Rules, by Eric Beahan  The Elastic Common Schema (ECS) provides an open, consistent model for structuring your data in the Elastic Stack. By normalizing data to a single common model, you can uniformly examine your data using interactive search, visualizations, and automated analysis. Elastic provides hundreds of integrations that are ECS-compliant out-of-the-box, but ECS also allows you to normalize custom data sources. Normalizing a custom source can be an iterative and sometimes time-intensive process. However, we can use the Elastic Security Detection Engine to help quickly identify ECS non-compliance in our events. Dec 5 [français/english] — Recherchez tous vos documents, n'importe où, avec Workplace Search | Searching anything, anywhere with Workplace Search, by David Pilato You already know that Workplace Search comes with a lot of connectors which help you connect your enterprise document data sources and have a federated way to search across all that information. But what if a specific data source is not supported yet? This post will cover how you can create a custom data source to send your own data. We'll also cover an example of how this was used in the community FSCrawler project. Dec 6 [spanish/english] — Cargando datos de OSM en Elasticsearch | Uploading data from OSM into Elasticsearch, by Jorge Sanz  One of the most common issues for Elastic stack users that deal with geospatial data is how to upload geospatial data users is how to ingest data in Elasticsearch. You can check Kibana 7.10 docs to learn about different ways to achieve this. Some time ago we wrote a blog post that introduces ogr2ogr, a tool from the GDAL library that helps on ingesting data from dozens of formats into Elasticsearch. In this Advent Calendar post, we develop an example of this workflow using Docker to leverage the last version of the GDAL tool and OpenStreetMap as a popular source of Open Data Points of Interests. Dec 7 [français/english] — Utilisez Rally comme outil d'import/export de données | Using Rally as a data import/export tool, by Laurent Huet  This post will show you how you can use Rally to export data from one cluster to another. The idea is to extract the whole data from one or more indices in a (big) flat file and reuse it later to easily import in another cluster. Rally helps you do that very easily. Dec 8 [russian/english] — Rank features для поиска в e-commerce | Rank features for e-commerce search, by Mayya Sharipova Modern e-commerce search is expected to be fast, relevant and provide an opportunity for promoting certain results. This article demonstrates how rank_feature and rank_features types of elasticsearch can help in this goal. We will use an example of a commercial search engine for a shoes shop. Dec 9 [english] — Don't let your Christmas tree Rust in a corner, by Sylvain Wallez Christmas trees are part of what makes this time of the year so unique and brings sparkles in the eyes of children and adults alike. But what do you do with the tree once the party’s over? The best is to make sure it’s recycled and used as compost or firewood. Now how do you find where to dispose of your tree so that it will be correctly taken care of? I live in Toulouse in the south of France, and the local authorities have not only set up a lot of collection places, but also published their location as open data. It’s even listed on European open data. There’s a treasure trove of information there! Let’s use this information to build a nice map in Kibana, and use the Rust client for Elasticsearch for that? Why Rust? Because it’s a great language that is growing in popularity, and this is an opportunity to experiment! Dec 10 [spanish/english] — Las 12 mejores características de Mapas desde GA | Top 12 new features in Maps since GA, by Nathan Reese Maps was released as generally available (GA) in Kibana 7.3. Reaching production-ready is not the final destination, but just another stop on a long journey. Each Kibana point release includes so many incredible features that it’s hard to keep up with them all. So, as 2020 comes to an end, let's look back and revisit some of the most impactful features since going to GA. Dec 11 [english] — This holiday season, learn new Elastic skills, by Pablo Musa Elastic has a lot of different products across multiple solutions. We make it as easy as possible for our users to benefit from our solutions, but it is still hard to master so many topics. To address that, Elastic invests a lot in creating the best possible content. And even though we create them in many formats, such as docs, blogs, webinars, ElasticON presentations, and training, it can still be daunting to learn so many different concepts. In this blog we will help you make the most of your holiday season by learning new skills. Dec 12 [spanish/english] — Tu infraestructura en un mapa | Mapping your infrastructure, by Thomas Neirynck This post shows how you can use the Elastic Stack to map IoT, Security or Observability data. The data that is collected in these use-cases often do not explicitly contain a latitude or longitude. It is still possible to map this data in Kibana by using a “Term Join”. Dec 13 [english] — Making it personal: Tailoring content with signed search keys in App Search, by Orhan Toy Signed search keys in Elastic App Search give you more control of a user's search experience. You can tailor the experience to show results you know are more relevant to the specific user while also letting you control what data the user can see and search over. Dec 14 [chinese] — 如何成为一名 Elastic 认证工程师, by Xiaoguo Liu 对 Elastic 认证的类别,培训及认证流程做了详细的介绍。针对中国地区的工程师如何应对 Elastic 认证做了详细的描述。 Dec 15 [english] — Preparing for an Elasticsearch Interview, by Aravind Putrevu Elasticsearch is the most popularly used data store for building a Search Engine, Centralized Logging, Observability, or Threat Hunting use cases. That also means Elasticsearch is omnipresent in many organizations. In this post, we'll see what are some important topics that you need to prepare for an Elasticsearch interview. Dec 16 [french/english] — Monitorer les tâches et pipelines Tekton avec Elastic Observability | Monitoring Tekton Tasks and Pipelines with Elastic Observability, by Maxime Gréau Do you know that Elastic performed 21 releases in 2020? Each time a release is promoted, this is 500+ artifacts published to multiple public places (bucket, Docker registries, Maven Central, Rubygems, and so on) and available on Cloud at the same time. This complex process became a non-event thanks to our Unified Release workflow based on Tekton Tasks and Pipelines and monitored with Elastic Observability. This blog post shows how to run your first Tekton Task, and then how to install and use the Elastic Observability Solution to monitor many Tasks and Pipelines deployed within a cluster. Dec 17 [korean] — 한글 형태소 분석기 파헤치기, by Jongmin Kim Elasticsearch 에서는 Elastic 에서 공식으로 제공하는 한글 형태소 분석기인 nori 를 사용할 수 있습니다. 한글은 띄어쓰기가 없는 복합어가 대다수이기 때문에 의도하지 않은 대로 분석이 되는 경우가 많아 nori 를 사용하기 위해서는 목적에 맞는 사용자 사전을 등록해야 할 때가 많습니다. Dec 18 [english] — Set up searchable snapshots in ECK, by Idan Moyal Searchable snapshots, recently released as BETA in Elasticsearch 7.10, let you reduce your operating costs by using snapshots for resiliency rather than maintaining replica shards within a cluster. In this blog we’ll demonstrate how to create a hot-cold topology using Elastic Cloud on Kubernetes (ECK). For the cold tier we will mount a snapshot using the new searchable snapshots API. The demonstration is carried out on Google Kubernetes Engine (GKE) and can easily be adjusted to other Kubernetes environments. Dec 19 [english] — OpenTelem

Created 4y | Dec 25, 2020, 1:20:22 PM


Login to add comment