![]() Introduction. Recently I bought the network attached storage (NAS) DS1513+ from Synology and integrated it into my home network in order to have a central place to. Best Crypto Version 4 Keygen Software LicenseTiddly. Wiki — a non- linear personal web notebook. Interesting article giving the perspective of someone who has been away from Tiddly. Wiki for a few years. Way back in the mists of time (actually, January 2. I wrote about a really cool tool called Tiddly. Wiki, a “non- linear personal web notebook”. Fast forward to today and I just had an out of body experience: Completely by accident I found a Tiddly. Wiki that I started when I wrote that piece and it still works! Finding code that works flawlessly after just two or three years is magical enough but after seven years?! And given that Tiddly. Cisco UCS Integrated Infrastructure for Big Data with Splunk Enterprise. NOTE: Works with document’s Advanced Properties “First Published” property. Forex Margin Call Explained - babypips.com www.babypips.com/./margin-call-exemplified.html Learn what a margin call is in forex trading and watch how quickly you. Wiki is written as a single page Web application and considering how different browsers are now than they were in 2. Tiddly. Wiki still works is not short of miraculous. A thesis notebook based on Tiddly. Wiki. This is an example of a thesis notebook powered by Tiddly. Wiki 5. 0. 8- beta. Tiddly. Wiki is a great piece of software created by Jeremy Ruston. It allows you, among other things, to take notes, organize ideas, store information, and display all your stuff the way you want. It is an incredibly flexible tool you can adapt to fit almost all your needs. This Tiddly. Wiki has been customized to serve as a philosophy notebook centered around authors, books and papers, concepts and theories, and personal notes. I use it along with Zotero, which is a dedicated bibliography software. Both are free, open source projects. Tiddly. Wiki can be downloaded at http: //tiddlywiki. WYSIWYG HTML editor, a configurable calendar and tag lists with draggable ordering. A collection of customisations and macros from Danielo Rodriguez. This is my personal tiddlywiki file for testing. Here I will post the tools and Macros that I develop for this awesome tool. That way, all the help the comunity gave me can came back to the comunity again. Task & Delegation Tracking, Meetings & Agenda Items, Project Roles, Progress & Status Updates, Reference Items, Tickler Calendar, Conversation Logging, Book Notes & Library, and More! Cardo is a standalone, browser- based tool that can be used as a simple task manager, or as a complex Project Management system (and indeed, I do use it this way in my daily work) as well as a fully Wiki- ized personal knowledge store. It runs completely independently in the browser, even without an Internet connection, making it possible to carry around on a USB stick, or to use on the morning commute. An adaptor to enable Tiddly. Wiki to sync changes with a [[Couch. DB|http: //couchdb. Couch. DB sync adaptor for Tiddly. Wiki 5. Requires Tiddly. Wiki > = 5. 1. Works in limited testing. Not sure how well it handles conflicts. A guide to creating a baby journal with Tiddly. Wiki. Keeping a journal about your baby is fun. It allows you to keep track of those events in your baby's life and development that are most important to you, and to tell them in your own words. There are plenty of online services that can help to keep such a diary, but you need to have an internet connection to access them, and you have to trust them to keep your data safe. A plugin that allows to encrypt your tiddlers individually Danielo Rodriguez. You can specify a different password for each tiddler if you want. You don't have to encrypt your whole wiky. If you forget your password, you only lose a tiddler. It's possible to edit the tiddler content , tags and fields except the encrypt field after encryption. This wiki gives examples for various [[filters|Filters]] and their use in the [[list widget|List. Widget]]. This wiki gives examples for various [[filters|Filters]] and their use in the [[list widget|List. Widget]]. A good starting point to understand what filters yield which results also is [[test- filters. Jermolene/Tiddly. Wiki. 5/blob/master/editions/test/tiddlers/tests/test- filters. An adaption of the "Ghostwriter" theme for ~Tiddly. Wiki. Ghostwriter is a popular, minimalist and mobile responsive theme for the blogging platform ghost. This is an adaptation for ~Tiddly. Wiki. Creates bubble maps of Biblical texts. This ~Tiddly. Wiki, which is still under construction, has several features that together make it lightning fast to find passages, types of passages, themes, people, places and images in the New Testament Gospels. The bubblemaps are color- coded overviews of each Gospel. Each type of passage (miracle story, parable, etc) was assigned a color. Bubblemaps allow you to do three things. The ''bubblemaps'' are color- coded overviews of each Gospel. Each type of passage (miracle story, parable, etc) was assigned a color. Bubblemaps allow you to do three things. See how the different types of passages are distributed throughout each Gospel. Hover over passages to see the verses and titles. Click on a passage to open it and see the themes and other data it mentions. The ''themes by passage'' indexes are lists of the passages in each Gospel, followed by the themes and other data found in the passage. Clicking on a theme calls up a list of all the passages that mention that theme. The ''indexes of themes'' contain lists of links to each theme, person, group, place and image. Clicking on a theme calls up a list of all the passages that mention that theme. There is a ''search window'' hidden in the right hand menu. Use the search window to find passages quickly, by typing things like sower or paralytic. Click the arrows in the upper right of the screen to open the menu and search. An adaptation of the [[Tiddly. Wiki powered GTD® system formerly known as Monkey. GTD|http: //mgsd. Tiddly. Wiki version 5. GSD5 is a Getting- Thing- Done tool for Tiddly. Wiki. 5 based off the m. GSD classic Tiddly. Wiki. A collection of helpers by Thomas Elmiger, among them a ''tweet button'' macro, a ''text- stretch'' solution, a ''snippet extraction'' macro and a tiddler that installs a ''scroll- to- top button'' via drag- and- drop. Quick Extensions for ~Tiddly. Wiki 5 – […] As I take from the community, I am happy if I can give back. You can use my stuff to do whatever you like, but remember to save a back- up first. Thomas. A guide in Russian to creating an online shop with Tiddly. Wiki. No serverside code is needed, instead orders are handled by Disqus. An explainer about Twederation, a system of sharing information between Tiddly. Wiki instances. TWederation is a system for sharing information between participating ~Tiddly. Wikis without using a client- server model. The link here points to a tiddler that gives more details. This particular implementation works something like an online forum. On the rest of the site, you can follow discussions by the developers and collaborators occurring within the Twederation "network" itself. An extensive collection of hints and tips from Jed Carty. I made this so that some of my friends with absolutely no coding experience could use some of the better features of TW5 without having to learn much. I am hopefully going to continue updating it as I learn new things. There isn't really anything here that isn't available in plenty of other places, but I figured that since I spent a while putting it together and people keep saying that TW needs more documentation I would post it here. A step by step guide to running Tiddly. Wiki on a ~Cent. OS Virtual Private Server. In this tutorial we will guide you through the steps of installing and running Tiddly. Wiki on a ~Cent. OS 6 VPS. We will also install and configure Nginx as a reverse proxy, so you can run Tiddly. Wiki behind Nginx. A complete online shop made in ~Tiddly. Wiki! A collection of extensions by [[@malgam|https: //github. The "loadnew" plugin provides the Java. Script module $: /plugins/malgam/loadnew/loadnew. Tiddlywiki 5. The javascript code is based on the built- in module $: /core/modules/commands/load. Tiddlywiki file into a node. Tiddlywiki instance. This command loads all non- system tiddlers, irrespective of whether they have been modified since last loaded. As a result, all tiddlers in the node. In contrast, the loadnew command only loads tiddlers that either don't already exist in the tiddlers folder, or have a newer modified date than the existing tiddler. With a backup strategy that uses a file system snapshot process to preserve historical versions of tiddlers, the loadnew command minimises the sizes of the resulting snapshots. A Spanish guide to using Tiddly. Wiki on Android. Tiddlywiki software is prodigious based on javascript which is capable of holding a notepad that can be edited with Internet Explorer or function as a full blog, contained in a single file. Cisco UCS Integrated Infrastructure for Big Data with Splunk Enterprise. This CVD describes architecture and deployment procedures for Splunk Enterprise using eight (8) Cisco UCS C2. M4 rack servers as indexers, three (3) Cisco UCS C2. M4 rack servers as search heads, and two (2) Cisco UCS C2. M4 rack servers to perform administrative functions, along with 1 archival server for frozen data (Cisco UCS C3. This architecture is based on the Cisco UCS Integrated Infrastructure for Big Data with Splunk. The reference architecture named Distributed Deployment with High Capacity consists of 1. CVD as well as an additional archival server for attached storage. The solution goes into detail configuring distributed search on Splunk Enterprise platform along with the Archival node (Cisco UCS C3. Figure 1 shows the architecture for the Splunk Enterprise deployment. The intended audience of this document includes, but is not limited to, sales engineers, field consultants, professional services, IT managers, partner engineering, and customers who want to deploy Splunk Enterprise on Cisco UCS Integrated Infrastructure for Big Data. This CVD offers a dependable deployment model for Splunk Enterprise which can be implemented rapidly and customized to meet Splunk requirements. The configuration detailed in the document can be extended to larger clusters. In this CVD, eight Splunk Indexers provide capacity to index up to 2 TB of data per day (without replication). This configuration can scale to index hundreds of terabytes to petabytes of data every 2. Splunk application demands with seamless data integration and analytics to multiple users across the globe. The Cisco UCS solution for Splunk Enterprise is based on Cisco UCS Integrated Infrastructure for Big Data and Analytics, a highly scalable architecture designed to meet a variety of scale- out application demands with seamless data integration and management integration capabilities built using the following components: Cisco UCS 6. Series Fabric Interconnects provide high- bandwidth, low- latency connectivity for servers, with integrated, unified management provided for all connected devices by Cisco UCS Manager. Deployed in redundant pairs, Cisco Fabric Interconnects offer the full active- active redundancy, performance, and exceptional scalability needed to support the large number of nodes that are typical in clusters serving big data applications. Cisco UCS Manager enables rapid and consistent server configuration using service profiles, automating ongoing system maintenance activities such as firmware updates across the entire cluster as a single operation. Cisco UCS Manager also offers advanced monitoring with options to raise alarms and send notifications about the health of the entire cluster. The Cisco UCS 6. 29. UP 9. 6- Port Fabric Interconnect is shown in Figure 2 Cisco UCS 6. Series Fabric Interconnects provide high- bandwidth, low- latency connectivity for servers, with Cisco UCS Manager providing integrated, unified management for all connected devices. The Cisco UCS 6. 30. Series Fabric Interconnects are a core part of Cisco UCS, providing low- latency, lossless 4. Gigabit Ethernet, Fibre Channel over Ethernet (FCo. E), and Fibre Channel functions with management capabilities for systems deployed in redundant pairs. Figure 3 shows the Cisco UCS 6. UP- Port Fabric Interconnect. Note: This Cisco Validated Design is built using second generation Fabric Interconnects (Cisco UCS 6. Cisco UCS 6. 33. 2 can be used as well. Cisco UCS C- Series Rack Mount C2. M4 High- Density Rack servers (Small Form Factor Disk Drive Model) and Cisco UCS C2. M4 High- Density Rack servers (Small Form Factor Disk Drive Model) are enterprise- class systems that support a wide range of computing, I/O, and storage- capacity demands in compact designs. Cisco UCS C- Series Rack- Mount Servers are based on the Intel Xeon E5- 2. Gbps SAS throughput, delivering significant performance and efficiency gains over the previous generation of servers. The servers use dual Intel Xeon processor E5- 2. CPUs and support up to 7. GB of main memory (1. GB is typical for big data applications) and a range of disk drive and SSD options. The Performance- optimized option supports 2. Small Form Factor (SFF) disk drives. The Capacity- optimized option supports 1. Large Form Factor (LFF) disk drives, along with 4 Gigabit Ethernet LAN- on- motherboard (LOM) ports. Cisco UCS virtual interface cards 1. VICs) designed for the M4 generation of Cisco UCS C- Series Rack Servers are optimized for high- bandwidth and low- latency cluster connectivity, with support for up to 2. Cisco UCS Manager. The Cisco UCS C2. M4 Rack Server is shown in Figure 4 Figure 5 Cisco UCS Virtual Interface Cards (VICs), unique to Cisco, incorporate next- generation converged network adapter (CNA) technology from Cisco, and offer dual 1. Gbps ports designed for use with Cisco UCS C- Series Rack- Mount Servers. Optimized for virtualized networking, these cards deliver high performance and bandwidth utilization and support up to 2. The Cisco UCS Virtual Interface Card (VIC) 1. Enhanced Small Form- Factor Pluggable (SFP+), 1. Gigabit Ethernet and Fiber Channel over Ethernet (FCo. E)- capable, PCI Express (PCIe) modular LAN on motherboard (m. LOM) adapter. Cisco VIC 1. Gigabit Ethernet. The Cisco VIC 1. 38. Cisco UCS Fabric Interconnects 6. Gigabit Ethernet connectivity. The System IO Controller (SIOC) with VIC1. C3. 26. 0 can work as dual 4.Gigabit Ethernet or dual 1.Gigabit Ethernet ports (with appropriate QSFP to SFP+ convertors). here. Figure 6 Cisco UCS VIC 1.Figure 7 Cisco UCS VIC 1.Cisco UCS Manager resides within the Cisco UCS 6. Series Fabric Interconnects. It makes the system self- aware and self- integrating, managing all of the system components as a single logical entity. Cisco UCS Manager can be accessed through an intuitive graphical user interface (GUI), a command- line interface (CLI), or an XML application- programming interface (API). Cisco UCS Manager uses service profiles to define the personality, configuration, and connectivity of all resources within Cisco UCS, radically simplifying provisioning of resources so that the process takes minutes instead of days. This simplification allows IT departments to shift their focus from constant maintenance to strategic business initiatives. Figure 8 Cisco UCS Manager. All your IT applications, systems, and technology infrastructure generate data every millisecond of every day. This machine data is one of the fastest growing, most complex areas of big data. It is also one of the most valuable, containing a definitive record of user transactions, customer behavior, sensor activity, machine behavior, security threats, fraudulent activity, and more. Splunk Enterprise provides a holistic way to organize and extract real- time insights from massive amounts of machine data from virtually any source. This includes data from websites, business applications, social media platforms, app servers, hypervisors, sensors, traditional databases, and open source data stores. Splunk Enterprise scales to collect and index tens of terabytes of data per day, across multi- geography, multi- datacenter, and hybrid cloud infrastructures. Splunk Enterprise provides the end- to- end, real- time solution for machine data, delivering the followingcore capabilities: · Universal collection and indexing of machine data, from virtually any source· Powerful search processing language (SPL) to search and analyze real- time and historical data· Real- time monitoring for patterns and thresholds; real- time alerts when specific conditions arise· Powerful reporting and analysis· Custom dashboards and views for different roles· Resilience and horizontal scalability· Granular role- based security and access controls· Support for multi- tenancy and flexible, distributed deployments on- premises or in the cloud· Robust, flexible platform for big data apps. Reference Architecture for the Splunk Enterprise deployment is shown in Table 1 Indexer. Cisco UCS C2. 40 M4 Rack Servers, each with: · 2 Intel Xeon processor E5- 2. CPUs (2. 8 cores)· 2. GB of memory· Cisco 1. Gbps SAS modular RAID controller with 2- GB flash- backed write cache· Cisco UCS VIC 1.TB 1. 0K SFF SAS drives in a RAID1.GB (or 2. 40- GB) SSDs for the operating system.Search head. 3 Cisco UCS C2. .
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