uncleflo
Registered since September 28th, 2017
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How To Set Up an Apache, MySQL, and Python (LAMP) Server Without Frameworks on Ubuntu 14.04 | DigitalOcean
Saved by uncleflo on December 19th, 2019.
This article will walk you through setting up a server with Python 3, MySQL, and Apache2, sans the help of a framework. By the end of this tutorial, you will be fully capable of launching a barebones system into production. Django is often the one-shop-stop for all things Python; it’s compatible with nearly all versions of Python, comes prepackaged with a custom server, and even features a one-click-install database. Setting up a vanilla system without this powerful tool can be tricky, but earns you invaluable insight into server structure from the ground up. This tutorial uses only package installers, namely apt-get and Pip. Package installers are simply small programs that make code installations much more convenient and manageable. Without them, maintaining libraries, modules, and other code bits can become an extremely messy business.
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Replicating Amazon Aurora MySQL DB Clusters Across AWS Regions - Amazon Aurora
Saved by uncleflo on July 24th, 2019.
You can create an Amazon Aurora MySQL DB cluster as a Read Replica in a different AWS Region than the source DB cluster. Taking this approach can improve your disaster recovery capabilities, let you scale read operations into an AWS Region that is closer to your users, and make it easier to migrate from one AWS Region to another. For each source DB cluster, you can have up to five cross-region DB clusters that are Read Replicas. When you create an Aurora MySQL DB cluster Read Replica in another AWS Region, you should be aware of some pitfalls.
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AWS Aurora MySQL – HA, DR, and Durability Explained in Simple Terms - Percona Database Performance Blog
Saved by uncleflo on July 11th, 2019.
It’s a few weeks after AWS re:Invent 2018 and my head is still spinning from all of the information released at this year’s conference. This year I was able to enjoy a few sessions focused on Aurora deep dives. In fact, I walked away from the conference realizing that my own understanding of High Availability (HA), Disaster Recovery (DR), and Durability in Aurora had been off for quite a while. Consequently, I decided to put this blog out there, both to collect the ideas in one place for myself, and to share them in general. Unlike some of our previous blogs, I’m not focused on analyzing Aurora performance or examining the architecture behind Aurora. Instead, I want to focus on how HA, DR, and Durability are defined and implemented within the Aurora ecosystem. We’ll get just deep enough into the weeds to be able to examine these capabilities alone.
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Working with Amazon Aurora Global Database - Amazon Aurora
Saved by uncleflo on June 23rd, 2019.
Following, you can find a description of Amazon Aurora Global Database. Each Aurora global database spans multiple AWS Regions, enabling low latency global reads and disaster recovery from region-wide outages. An Aurora global database consists of one primary AWS Region where your data is mastered, and one read-only, secondary AWS Region. Aurora replicates data to the secondary AWS Region with typical latency of under a second. You issue write operations directly to the primary DB instance in the primary AWS Region. An Aurora global database uses dedicated infrastructure to replicate your data, leaving database resources available entirely to serve application workloads. Applications with a worldwide footprint can use reader instances in the secondary AWS Region for low latency reads. In the unlikely event your database becomes degraded or isolated in an AWS region, you can promote the secondary AWS Region to take full read-write workloads in under a minute.
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AWS RDS Aurora | CLUSTER DEMO | Cross Region Replica, Types of Endpoints, HA & Fully Managed - YouTube
Saved by uncleflo on May 27th, 2019.
Let's learn Amazon Aurora Database from scratch. What are new features of Aurora over RDS? How to achieve HA with Aurora Cluster? What are different types of Endpoints with Aurora? Aurora compatibility with MySQL & PostgreSQL. Reader, Writer & Custom Endpoints in Aurora Cluster.
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CI/CD for Kubernetes with Jenkins and Spinnaker - DZone Cloud
Saved by uncleflo on May 12th, 2019.
Every organization which has adopted DevOps practices wants to quickly adopt "Continuous" everything, be it Integration, Deployment, Testing or, Monitoring. For a successful DevOps operation, CI/CD is very important for any small or big size organization to shorter development cycles and innovate faster, reduce deployment failures, safe Rollbacks and reduce MTTR (mean time to recover). In this article, we will uncover a new way of bringing continuous integration and continuous delivery of applications to your Kuberenetes cluster. We are using Jenkins as the CI tool which will poll the Git repositories to build Docker images on commits and push it to Docker registry. We will use Spinnaker as the CD tool which continuously polls the Docker registry and triggers the deployment pipelines to update applications in your Kubernetes cluster.
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Mounting NFS on a Windows Client
Saved by uncleflo on January 3rd, 2019.
Complete the following steps to mount NFS on a Windows client: The UID and GID values are set in the Windows Registry and are global on the Windows NFS client box. This solution might not work well if your Windows box has multiple users who each need access to NFS with their own permissions, but there is no obvious way to avoid this limitation. To set up the Windows NFS client, mount the cluster, map a network drive, and configure the user ID (UID) and group ID (GID). The Windows client must access NFS using a valid UID and GID from the Linux domain. Mismatched UID or GID will result in permissions problems when MapReduce jobs try to access files that were copied from Windows over an NFS share. Because of Windows directory caching, there may appear to be no .snapshot directory in each volume's root directory. As a workaround, force Windows to re-load the volume's root directory by updating its modification time (for example, by creating an empty file or directory in the volume's root directory).
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The FEniCS computing platform
Saved by uncleflo on October 26th, 2018.
FEniCS is a popular open-source (LGPLv3) computing platform for solving partial differential equations (PDEs). FEniCS enables users to quickly translate scientific models into efficient finite element code. With the high-level Python and C++ interfaces to FEniCS, it is easy to get started, but FEniCS offers also powerful capabilities for more experienced programmers. FEniCS runs on a multitude of platforms ranging from laptops to high-performance clusters.
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What is MariaDB Galera Cluster?
Saved by uncleflo on March 23rd, 2018.
MariaDB Galera Cluster is a synchronous multi-master cluster for MariaDB. It is available on Linux only, and only supports the XtraDB/InnoDB storage engines (although there is experimental support for MyISAM - see the wsrep_replicate_myisam system variable). Starting with MariaDB 10.1, the wsrep API for Galera Cluster is included by default. This is available as a separate download for MariaDB 10.0 and MariaDB 5.5.
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MariaDB High Availability
Saved by uncleflo on February 26th, 2018.
In information technology, High Availability refers to a system or component that is continuously operational for a desirably long length of time: Wikipedia up time / total time. Here, the presentation discusses MariaDB MaxScale, setup to see how it works.
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MariaDB High Availability: Replication Manager
Saved by uncleflo on February 25th, 2018.
This is a follow-up blog post that expands on the subject of highly available cluster, discussed in MariaDB MaxScale High Availability: Active-Standby Cluster. Replication Manager is a tool that manages MariaDB 10 clusters. It supports both interactive and automated failover of the master server. It verifies the integrity of the slave servers before promoting one of them as the replacement master and it also protects the slaves by automatically setting them into read-only mode. You can find more information on the replication-manager from the replication-manager GitHub repository. Using Replication Manager allows us to automate the replication failover. This reduces the amount of manual work required to adapt to changes in the cluster topology and makes for a more highly available database cluster. In this blog post, we'll cover the topic of backend database HA and we’ll use Replication Manager to create a complete HA solution. We build on the setup described in the earlier blog post and integrate Replication Manager into it. We're using Centos 7 as our OS and we'll use the 0.7.0-rc2 version of the replication-manager.
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Fallacies of distributed computing
Saved by uncleflo on December 28th, 2017.
The fallacies of distributed computing are a set of assertions made by L Peter Deutsch and others at Sun Microsystems describing false assumptions that programmers new to distributed applications invariably make.
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Main
Saved by uncleflo on May 17th, 2013.
Nginx is a free, open-source, high-performance HTTP server and reverse proxy, as well as an IMAP/POP3 proxy server. Igor Sysoev started development of Nginx in 2002, with the first public release in 2004. Nginx now hosts nearly 12.18% (22.2M) of active sites across all domains. Nginx is known for its high performance, stability, rich feature set, simple configuration, and low resource consumption.
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Weka 3 - Data Mining with Open Source Machine Learning ...
Saved by uncleflo on January 11th, 2011.
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Weka is open source software issued under the GNU General Public License. The open-source BI software company Pentaho has become major sponsor of Weka development and will take over the administration of Weka's Sourceforge site in the near future. Pentaho also provides a live forum for interaction among Weka project community members.
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