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Infrastructure & Application Monitoring as a Service

Infrastructure & Application Monitoring as a Service

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DFINITY - The Decentralized Cloud Security. Speed. Scale. The DFINITY project was formed to research ways of enabling public decentralized networks to host a virtual computer of potentially unlimited capacity. The starting requirement was that the systems developed should be useful in joining 1 million or more mining clients. We also sought vastly superior performance than is available today.

Fiches de rôles en ilots, une proposition pour la coopération Voici mes fiches de rôles pour les ilots. Je les voulais en noir et blanc et modifiable pour les adapter aux différents projets. ilots origines Mais je ne peux décemment commencer ce billet sans préciser mes sources ! API - Open Distro for Elasticsearch Documentation Open Distro for Elasticsearch development has moved to OpenSearch. The ODFE plugins will continue to work with legacy versions of Elasticsearch OSS, but we recommend upgrading to OpenSearch to take advantage of the latest features and improvements. The security plugin REST API lets you programmatically create and manage users, roles, role mappings, action groups, and tenants. Table of contents Access control for the API

Dfinity lève 102 millions supplémentaires pour concurrencer AWS via la blockchain Après une première levée de fonds record au début de l’année (CHF 61 millions), le projet blockchain Dfinity a bouclé un nouveau tour de table de CHF 102 millions a annoncé sur Medium le président de la fondation, basée à Zoug et Palo Alto, à l’origine de ce projet «d’Internet Computer». Sorte de Cloud 3.0 décentralisé grâce à la blockchain, cet «ordinateur Internet est conçu pour héberger la prochaine génération mondiale de logiciels et de services», assure le serial entrepreneur. Rien de moins donc qu’un concurrent à Amazon Web Services et Microsoft Azure et Google Cloud Platform à en croire l’ambition de celui qui veut attirer les meilleurs chercheurs et ingénieurs au monde et construire une «NASA de la décentralisation». Ces 102 millions levés notamment auprès de Polychain Capital de d’Andreessen Horowitz serviront principalement à convaincre ces talents de rejoindre ce projet dont la première concrétisation est annoncée pour «fin 2018, début 2019» avec le lancement du réseau.

Les rôles des élèves dans le travail de groupe Poursuivant mes lectures sur les ouvrages traitant de la coopération en classe, je partage une idée de base du travail coopératif : la distribution de roles spécifiques à chaque élève lors de ces phases. Il existe 6 roles de base et une multitude d'autres roles qui doivent etre inventés en fonction de la tache coopérative à réaliser. J'ai créé mes propres cartes "roles de base" que chaque élève se voit attribué au début d'un travail coopératif. How to Solve 5 Elasticsearch Performance and Scaling Problems This post is the final part of a 4-part series on monitoring Elasticsearch performance. Part 1 provides an overview of Elasticsearch and its key performance metrics, Part 2 explains how to collect these metrics, and Part 3 describes how to monitor Elasticsearch with Datadog. Like a car, Elasticsearch was designed to allow its users to get up and running quickly, without having to understand all of its inner workings. However, it’s only a matter of time before you run into engine trouble here or there. This article will walk through five common Elasticsearch challenges, and how to deal with them. Problem #1: My cluster status is red or yellow.

Openstack OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface. Learn more about OpenStack's compute, storage, networking, take a tour of the dashboard, or dive in and learn how to get started with OpenStack today. If you're looking for OpenStack related products and services such as Distributions, Appliances, Public Clouds, Consultants, or Training check out our OpenStack Marketplace.

Elasticsearch Guide [7.15] Give memory to the filesystem cacheedit Elasticsearch heavily relies on the filesystem cache in order to make search fast. In general, you should make sure that at least half the available memory goes to the filesystem cache so that Elasticsearch can keep hot regions of the index in physical memory. Use faster hardwareedit If your search is I/O bound, you should investigate giving more memory to the filesystem cache (see above) or buying faster drives. In particular SSD drives are known to perform better than spinning disks.

Algolia hosted search engine What is Algolia? Algolia is a hosted search engine, offering full-text, numerical, and faceted search, capable of delivering real-time results from the first keystroke. Algolia’s powerful API lets you quickly and seamlessly implement search within your websites and mobile applications. Our search API powers billions of queries for thousands of companies every month, delivering relevant results in under 100ms anywhere in the world. Java REST Client [7.14] The Scroll API can be used to retrieve a large number of results from a search request. In order to use scrolling, the following steps need to be executed in the given order. Initialize the search scroll contextedit An initial search request with a scroll parameter must be executed to initialize the scroll session through the Search API. When processing this SearchRequest, Elasticsearch detects the presence of the scroll parameter and keeps the search context alive for the corresponding time interval.

Motoko Programming Language Guide Each Motoko actor represents a service that one might want to deploy on the Internet Computer. The interface of each actor introduces async data whenever it returns information to its caller. This programming abstraction serves a key role in Motoko, as it coordinates with the transformations of the Motoko compiler pipeline and eventual execution behavior of Motoko actors on the Internet Computer.

Elasticsearch Reference [master] Use bulk requestsedit Bulk requests will yield much better performance than single-document index requests. In order to know the optimal size of a bulk request, you should run a benchmark on a single node with a single shard. First try to index 100 documents at once, then 200, then 400, etc. doubling the number of documents in a bulk request in every benchmark run. Koyeb raises €1.4 million to build the next generation multi-cloud provider – STATION F Koyeb (Founders Program) raises €1.4 million in a pre-seed round led by ISAI with Kima Ventures, Plug and Play Ventures, Acecap, and business angels including Zachary Smith (, Justin Ziegler (Priceminister), Alexis Lê-Quôc (Datadog), Sébasiten Lucas (Oxalide), Marc Jalabert (Microsoft), Amirhossein Malekzadeh (, Eric Ouisse (Ziwo), Dominique Vidal (Index Ventures), and Fabrice Bernhard (Theodo). Combining Two Emerging Technologies: Serverless Computing and Multi-Cloud Launched in 2019 by three cloud industry veterans, Yann Léger, Édouard Bonlieu, and Bastien Chatelard, Koyeb is a multi-cloud service provider that enables developers to reduce time spent on operating complex infrastructures and to streamline the development of new features.

Elasticsearch Reference [7.11] Performs multiple indexing or delete operations in a single API call. This reduces overhead and can greatly increase indexing speed. Provides a way to perform multiple index, create, delete, and update actions in a single request. The actions are specified in the request body using a newline delimited JSON (NDJSON) structure: action_and_meta_data\n optional_source\n action_and_meta_data\n optional_source\n .... action_and_meta_data\n optional_source\n