Tag: cluster

Feed: Planet MySQL; Author: MySQL Performance Blog; Bronwyn Campbell | September 19, 2018 |  Posted In: Events and Announcements, MariaDB, MongoDB, MySQL, Percona Live, Percona Monitoring and Management, PMM, PostgreSQL PREVIOUS POST Percona has revealed the line-up of in-depth tutorials for the Percona Live Europe 2018 Open Source Database Conference, taking place November 5–7, 2018 at the Radisson Blu Hotel in Frankfurt, Germany. Secure your spot now with Advanced Registration prices. Be sure to buy your tickets soon as tickets prices will only head up, not down! Sponsorship opportunities for the conference are still available. Percona Live Europe 2018 Open Source Database Conference is the premier open source ... Read More

Feed: Planet MySQL; Author: Colin Charles; Colin Charles | September 21, 2018 |  Posted In: MariaDB, MongoDB, MySQL, open source databases, Percona Server for MongoDB, Percona XtraDB Cluster, PostgreSQL PREVIOUS POST Join Percona Chief Evangelist Colin Charles as he covers happenings, gives pointers and provides musings on the open source database community. This week is clearly what I’d call a “MariaDB week” — plenty of announcements coming from MariaDB Corporation and MariaDB Foundation. It started with Alibaba Cloud and MariaDB Announce the Launch of ApsaraDB RDS for MariaDB TX, which makes Alibaba Cloud the first public cloud to offer the enterprise offering of MariaDB, MariaDB ... Read More

Feed: What's New. Redis Cluster allows for datasets to be automatically sharded across multiple Redis nodes. You can add replicas to increase your cluster’s read throughput, and serve high-volume application read traffic. Additionally, read replicas can also be used to enable auto failover and improve availability. With this new feature, you can right-size your Redis cluster’s read capacity without the hassle of taking a manual snapshot and restoring it to a new cluster with the desired number of read replicas per shard. Instead, you can easily add or remove replicas to one or more shards, and ElastiCache takes care of ... Read More

Feed: Planet MySQL; Author: Severalnines; The majority of DBA’s perform health checks on their databases every now and then. Usually, it would happen on a daily or weekly basis. We previously discussed why such checks are important and what they should include. To make sure your systems are in a good shape, you’d need to go through quite a lot of information - host statistics, MySQL statistics, workload statistics, state of backups, database packages, logs and so forth. Such data should be available in every properly monitored environment, although sometimes it is scattered across multiple locations - you may have ... Read More

Feed: R-bloggers. Author: Fabian Müller. In a recent blog post our CEO Sebastian Heinz wrote about Google's newest stroke of genius – AutoML Vision. A cloud service "that is able to build deep learning models for image recognition completely fully automated and from scratch". AutoML Vision is part of the current trend towards the automation of machine learning tasks. This trend started with automation of hyperparameter optimization for single models (Including services like SigOpt, Hyperopt, SMAC), went along with automated feature engineering and selection (see my colleague Lukas' blog post about our bounceR package) towards full automation of complete data ... Read More

Feed: What's New. Parallel Query takes advantage of Aurora’s architecture by pushing processing down to the Aurora storage layer, spreading computation across thousands of nodes. By pushing query computation down to the storage layer where possible, Parallel Query limits CPU, memory, and network contention with the core workload. The feature is available for the MySQL 5.6-compatible edition of Amazon Aurora, and is currently available in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), and Asia Pacific (Tokyo) Regions. You can get started by creating an Aurora cluster in the Amazon RDS Management Console and enabling ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Suma Shivaprasad. Introduction The Apache Hadoop community announced Hadoop 3.0 GA in December, 2017 and Hadoop 3.1 in April, 2018 loaded with great features and improvements. One of the biggest challenges while upgrading to a new major release of a software platform is its compatibility. Apache Hadoop community has focused on ensuring wire and binary compatibility for Hadoop 2 clients and workloads. There are some challenges to be addressed by admins while upgrading to a major release of Hadoop. Users running workloads on Hadoop 2 should ideally be able to seamlessly run or migrate ... Read More

Feed: What's New. You can now use TensorFlow 1.9.0, the popular machine and deep learning framework, and S3 Select with Apache Spark on Amazon EMR release 5.17.0. Tensorflow libraries can be combined with big data processing engines like Spark on EMR to speed up the model training process by parallelizing the tuning of training parameters. The trained model can then be broadcast to all the nodes of the cluster to perform distributed inference on a large amount of data that are too big to run on a single node. TensorFlow on EMR is packaged with TensorBoard, a visualization tool, that ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; Dmitriy Kostiuk | September 20, 2018 |  Posted In: Events and Announcements, MySQL, Percona Server for MySQL, Percona XtraDB Cluster, ProxySQL PREVIOUS POST ProxySQL 1.4.10, released by ProxySQL, is now available for download in the Percona Repository along with an updated version of Percona’s proxysql-admin tool. ProxySQL is a high-performance proxy, currently for MySQL and its forks (like Percona Server for MySQL and MariaDB). It acts as an intermediary for client requests seeking resources from the database. René Cannaò created ProxySQL for DBAs as a means of solving complex replication topology issues. The ProxySQL 1.4.10 source and binary ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Introduction In a previous article we discussed Modern Data Warehouse designs patterns and components. In this article we will discuss two more modern design patterns to handle your scenarios; 1) Advanced Analytics on big data 2) Real time analytics. Advanced Analytics on big data and Real-time analytics are prime business needs these days and require a modern design using the latest technology components. Microsoft Azure provides a set of technology components to meet all your needs. Advanced Analytics can be achieved using Azure Machine Learning tools. A modern design helps to build ... Read More