Tag: node

Feed: Databasejournal.com - Feature Database Articles. Author: . Azure offers diverse backup capabilities, spanning a wide range of on-premises and cloud-based workloads. These capabilities include a number of options to perform backups of SAP HANA running in Azure virtual machines (VMs). The purpose of this article is to provide an overview of these options. Traditionally, these options could be grouped into two main categories. The first one relied on Azure Backup while the other comprised third-party Marketplace offerings. Azure NetApp Files, which became generally available at the end of May 2019, could be potentially viewed as third category. While this ... Read More

Feed: Planet MySQL; Author: Percona Community; Wayne Leutwyler  | February 24, 2021 |  Posted In: Advanced Level, MySQL The ProblemHELP, HELP! My Percona XtraDB Cluster version: 5.7.31-31. Single Node is stuck in a joined state.I recently had the privilege to help a client with a fascinating issue.NODE-B dropped out of the 3 node PXC cluster. It looked to be DISK IO that caused NODE-B to fall far behind and eventually be removed from the cluster. A restart of NODE-B allowed itto rejoin the cluster. NODE-B looked to have been down for about 4 hours. Once NODE-B was back as part of the ... Read More

Feed: Recent Announcements. Amazon Elasticsearch Service introduces index rollups that lets you summarize high granularity data and preserve feature-rich aggregations over large data sets for analytics while reducing the storage costs. As time-series data grows to considerable sizes over time, it can slow down your aggregations and you may incur a substantial storage cost. Also, the usefulness of granular data reduces with time. Rollups lets you create a new index containing only relevant fields aggregated into coarser time buckets. With rolled up indexes, users can store up to years of data with reduced storage costs. Users can initiate rollups on ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; Point-In-Time Recovery (PITR) for MySQL databases is an important feature that is essential and covers common use cases, like a recovery to the latest possible transaction or roll-back the database to a specific date before some bad query was executed. Percona Kubernetes Operator for Percona XtraDB Cluster (PXC) added support for PITR in version 1.7, and in this blog post we are going to look into the technical details and decisions we made to implement this feature. Architecture Decisions Store Binary Logs on Object Storage MySQL uses binary logs to perform point-in-time recovery ... Read More

Feed: The Information Lab. Author: Paul Houghton. 24 February, 2021 Alteryx Server in the Cloud Deploying your infrastructure into the Cloud, of whatever provider you want, gives you a lot of flexibility in the resources you apply and what you can achieve. It allows for simple configuration changes depending on who you want to have access. The challenge is that if you are not careful in your configuration, you can expose your servers and data creating a significant problem. One way to manage this exposure issue is to apply a load balancer to your instance, which is great but Alteryx ... Read More

Feed: Recent Announcements. Amazon RDS for SQL Server now offers Always On Availability Groups (AGs) for the Multi-AZ configuration in all AWS Regions on Standard Edition. This new high-availability option meets the requirements of enterprise-grade production workloads on SQL Server.   The Multi-AZ deployment option provides enhanced availability and data durability by automatically replicating databases between two AWS Availability Zones (in the same region). These Availability Zones offer you an easier and more effective way to design and operate applications and databases, making them more highly available, fault tolerant, and scalable than traditional single-datacenter infrastructures or multi-datacenter infrastructures. When you ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; Most of you are familiar with the roles and profiles method of writing and classifying Puppet code. However, the roles and profiles method doesn’t have to exist only in your control repository. In fact, as I’ve been developing Puppet code centered around compliance, I’ve found that adapting the roles and profiles method into a design pattern to Puppet modules makes the code more auditable, reusable, and maintainable!For the uninitiated, the roles and profiles method, or roles and profiles pattern, allows you to separate resources and logic in your Puppet code from the actual ... Read More

Feed: AWS Architecture Blog. This post was co-authored  by Tom Cheung, Cloud Infrastructure Architect, AWS Professional Services and Bastian Klein, Solutions Architect at AWS. Containerization helps to create secure and reproducible runtime environments for applications. Container orchestrators help to run containerized applications by providing extended deployment and scaling capabilities, among others. Because of this, many organizations are installing such systems as a platform to run their applications on. Organizations often start their container adaption with new workloads that are well suited for the way how orchestrators manage containers. After they gained their first experiences with containers, organizations start migrating their ... Read More

Feed: Cambridge Intelligence. Author: Andrew Disney. Time-based data visualization is a vital part of visual data analysis. In this blog post, we’ll take a closer look at visualizing complex connected data – often called ‘graph data’, and its evolution over time.Graph data is rarely static. As time passes, entities change, events happen and connections get made and broken. To truly understand your graphs, you need to be able to visualize all of that.That’s why we built the time bar – available in our KeyLines and ReGraph graph visualization toolkits, and KronoGraph, our toolkit for building interactive timeline visualization applications.What is ... Read More

Feed: R-bloggers. Author: Tony Hirst. library(rLFT) stepdist = 10 window = 20 routeConvTable We can then use the convexity index to highlight the sample points with a high convexity index: corner_conv = 0.1 tight_corners = routeConvTable[abs(routeConvTable$ConvexityIndex)>corner_conv,] tight_corners_zoom1 = tight_corners$Midpoint_Y>4964000 & tight_corners$Midpoint_Y0) ), size=1) + theme_classic()+ theme(axis.text.x = element_text(angle = 45)) High convexity points along a route cornerer = function (df, slight_conv=0.01, closeby=25){ df %>% mutate(dirChange = sign(ConvexityIndex) != sign(lag(ConvexityIndex))) %>% mutate(straightish = (abs(ConvexityIndex) % mutate(dist = (lead(MidMeas)-MidMeas)) %>% mutate(nearby = dist % mutate(firstish = !straightish & ((nearby & !lag(straightish) & lag(dirChange)) | # We don't want the previous node nearby ... Read More