This document discusses using Amazon S3 and EC2 services in Ruby on Rails applications. It describes how S3 provides redundant data storage and EC2 offers on-demand virtual servers. Various tools are presented for backing up to S3, hosting assets on S3, and using EC2 for extra computing capacity and load balancing. Load balancers like Swiftiply are also covered for distributing requests across backend servers.
In file systems, large sequential writes are more beneficial than small random writes, and hence many storage systems implement a log structured file system. In the same way, the cloud favors large objects more than small objects. Cloud providers place throttling limits on PUTs and GETs, and so it takes significantly longer time to upload a bunch of small objects than a large object of the aggregate size. Moreover, there are per-PUT calls associated with uploading smaller objects.
In Netflix, a lot of media assets and their relevant metadata is generated and pushed to cloud.
We would like to propose a strategy to compact these small objects into larger blobs before uploading them to Cloud. We will discuss how to select relevant smaller objects, and manage the indexing of these objects within the blob along with modification in reads, overwrites and deletes.
Finally, we would showcase the potential impact of such a strategy on Netflix assets in terms of cost and performance.
Soirée de lancement Visual Studio - .Net Core 3 et ASP.Net Core 3Cellenza
Le mercredi 3 avril a eu lieu la grande soirée de lancement de Visual Studio 2019 chez Cellenza.
A cette occasion, les consultants de Cellenza ont présenté quelques-unes des nouveautés de Visual Studio 2019.
GFProxy: Scaling the GlusterFS FUSE Client Gluster.org
GFProxy is a server and client that improves upon the native FUSE client for GlusterFS. It provides a single connection between the FUSE client and GFProxy server, rather than many connections between clients and bricks. This simplifies upgrades and eliminates client-side network magnification. If the GFProxy server fails, queued operations will be retried after it reconnects. Performance testing shows GFProxy FUSE outperforming native FUSE and NFS, especially for multi-streamed writes. Future work includes supporting multiple volumes and better integration.
Seastore: Next Generation Backing Store for CephScyllaDB
Ceph is an open source distributed file system addressing file, block, and object storage use cases. Next generation storage devices require a change in strategy, so the community has been developing crimson-osd, an eventual replacement for ceph-osd intended to minimize cpu overhead and improve throughput and latency. Seastore is a new backing store for crimson-osd targeted at emerging storage technologies including persistent memory and ZNS devices.
This document discusses SPDY, a binary protocol developed by Google for transporting HTTP traffic over TLS. SPDY provides features like multiplexing, header compression, and server push that can make page loads up to 146% faster compared to traditional HTTP. The document outlines the history and need for SPDY, how it works, performance results from implementations in Nginx and Chrome, and how to detect and enable SPDY in browsers. It encourages adoption of SPDY to improve page load speeds for users on modern broadband connections accessing heavier web pages.
This document discusses how Calciomercato.com scaled their Symfony application to handle millions of users and page views per month. It describes how they moved to Symfony 1.4 in 2010 and deployed revisions to scale the site. It also details techniques used to scale Symfony applications horizontally and vertically, such as caching, load balancing, master-slave databases, and monitoring tools.
This document discusses using Amazon S3 and EC2 services in Ruby on Rails applications. It describes how S3 provides redundant data storage and EC2 offers on-demand virtual servers. Various tools are presented for backing up to S3, hosting assets on S3, and using EC2 for extra computing capacity and load balancing. Load balancers like Swiftiply are also covered for distributing requests across backend servers.
In file systems, large sequential writes are more beneficial than small random writes, and hence many storage systems implement a log structured file system. In the same way, the cloud favors large objects more than small objects. Cloud providers place throttling limits on PUTs and GETs, and so it takes significantly longer time to upload a bunch of small objects than a large object of the aggregate size. Moreover, there are per-PUT calls associated with uploading smaller objects.
In Netflix, a lot of media assets and their relevant metadata is generated and pushed to cloud.
We would like to propose a strategy to compact these small objects into larger blobs before uploading them to Cloud. We will discuss how to select relevant smaller objects, and manage the indexing of these objects within the blob along with modification in reads, overwrites and deletes.
Finally, we would showcase the potential impact of such a strategy on Netflix assets in terms of cost and performance.
Soirée de lancement Visual Studio - .Net Core 3 et ASP.Net Core 3Cellenza
Le mercredi 3 avril a eu lieu la grande soirée de lancement de Visual Studio 2019 chez Cellenza.
A cette occasion, les consultants de Cellenza ont présenté quelques-unes des nouveautés de Visual Studio 2019.
GFProxy: Scaling the GlusterFS FUSE Client Gluster.org
GFProxy is a server and client that improves upon the native FUSE client for GlusterFS. It provides a single connection between the FUSE client and GFProxy server, rather than many connections between clients and bricks. This simplifies upgrades and eliminates client-side network magnification. If the GFProxy server fails, queued operations will be retried after it reconnects. Performance testing shows GFProxy FUSE outperforming native FUSE and NFS, especially for multi-streamed writes. Future work includes supporting multiple volumes and better integration.
Seastore: Next Generation Backing Store for CephScyllaDB
Ceph is an open source distributed file system addressing file, block, and object storage use cases. Next generation storage devices require a change in strategy, so the community has been developing crimson-osd, an eventual replacement for ceph-osd intended to minimize cpu overhead and improve throughput and latency. Seastore is a new backing store for crimson-osd targeted at emerging storage technologies including persistent memory and ZNS devices.
This document discusses SPDY, a binary protocol developed by Google for transporting HTTP traffic over TLS. SPDY provides features like multiplexing, header compression, and server push that can make page loads up to 146% faster compared to traditional HTTP. The document outlines the history and need for SPDY, how it works, performance results from implementations in Nginx and Chrome, and how to detect and enable SPDY in browsers. It encourages adoption of SPDY to improve page load speeds for users on modern broadband connections accessing heavier web pages.
This document discusses how Calciomercato.com scaled their Symfony application to handle millions of users and page views per month. It describes how they moved to Symfony 1.4 in 2010 and deployed revisions to scale the site. It also details techniques used to scale Symfony applications horizontally and vertically, such as caching, load balancing, master-slave databases, and monitoring tools.
Pierre Mavro from Criteo discussed Couchbase usage at their company. Criteo has over 100 Couchbase clusters storing over 90TB of data serving up to 25 million queries per second. They benchmarked Couchbase and found network bandwidth and replicas increased latency. To improve, Criteo monitored latency, split workloads across clusters, automated operations, and tuned Couchbase and systems. Their changes helped Couchbase scale for Criteo's large workload.
Improving DragonFly's performance with PostgreSQL by Francois Tigeoteurobsdcon
Abstract
Since its creation, the DragonFly operating system had contained a giant lock in its kernel, preventing more than one thread to use kernel resources at the same time. This big lock was finally removed after the 2.10 release. I then started to look for a good way to test the multi-processor performance and scalability of the operating system. PostgreSQL seemed to fit the bill with its PGbench tool. This talk focuses on how PostgreSQL was used as a benchmarking tool to check and improve DragonFly's performance and scalability.
Speaker bio
Francois Tigeot is independent consultant and sysadmin doing *BSD and PostgreSQL since 1999. DragonFly developer since 2011
Rails Conf Europe 2007 - Utilizing Amazon S3 and EC2 in RailsJonathan Weiss
This document discusses using Amazon S3 and EC2 services with Ruby on Rails applications. It describes S3 as a redundant storage service that can be used for file storage and backups. EC2 is described as an on-demand computing service that provides virtual servers running Linux. The document provides examples of using S3 for asset hosting, backups, and user data storage with Rails applications. It also demonstrates how EC2 can be used to add computing capacity when needed and discusses load balancing across EC2 instances.
Use Somebody Else's Infrastructure - Utilizing Amazon S3 and EC2Jonathan Weiss
Scaling a Web Application is a very hard problem, especially for small project and teams who do not have sufficient manpower, money, and time to solve this problem. Luckily Amazon already had to solve this problem in their datacenters and offers their services to other developers. This talk will introduce the two most important Amazon Web Services, the Elastic Compute Cloud (EC2) and the Simple Storage Service (S3), and will present different ways to leverage them in your own web application. Ruby on Rails will be used for the examples but they will apply to any web framework. Several use-cases will be covered that show how S3 and EC2 can be used to move load from your servers to Amazon's or even to completely host your application at Amazon.
The document summarizes new features and updates in Ceph's RBD block storage component. Key points include: improved live migration support using external data sources; built-in LUKS encryption; up to 3x better small I/O performance; a new persistent write-back cache; snapshot quiesce hooks; kernel messenger v2 and replica read support; and initial RBD support on Windows. Future work planned for Quincy includes encryption-formatted clones, cache improvements, usability enhancements, and expanded ecosystem integration.
Presentation given at the GoSF meetup on July 20, 2016. It was also recorded on BigMarker here: https://www.bigmarker.com/remote-meetup-go/GoSF-EVCache-Peripheral-I-O-Building-Origin-Cache-for-Images
G1 has been around for quite some time now and since JDK 9 it is the default garbage collector in OpenJDK. The community working on G1 is big and the contributions over the last few years have made a significant impact on the overall performance. This talk will focus on some of these features and how they have improved G1 in various ways, including smaller memory footprint and shorter P99 pause times. We will also take a brief look at what features we have lined up for the future.
This document discusses benchmarking HTTP/2 using the h2load tool. It provides examples of using h2load to test various HTTP/2 configurations and protocols. The document also summarizes several experiments comparing performance of HTTP/2 with different settings, such as with or without domain sharding, combo handling, and different servers like ATS and nghttpx. It concludes that we need to consider server capacity for HTTP/2 deployments and that h2load is not perfect, providing opportunities for contribution.
This document discusses disaster recovery for oVirt virtualization environments. It describes how oVirt has evolved to support disaster recovery through exporting and importing storage domains. However, this process was manual. oVirt 4.2 added more attributes to OVF files to support automatic registration of VMs and templates between sites. Ansible roles are now available to automate failover and failback between primary and secondary oVirt sites using mapping files. The roles generate mappings, import storage domains, register VMs and templates, and start VMs to recover the secondary site or restore the primary site.
Introducing TokuMX: The Performance Engine for MongoDB (NYC.rb 2013-12-10)leifwalsh
TokuMX is a drop-in replacement for MongoDB that provides improved storage and performance. It uses its own indexing architecture called Fractal Tree indexing to allow for highly compressed and concurrent operations on indexes larger than available RAM. TokuMX offers features like ACID compliance and MVCC for increased consistency compared to MongoDB. It provides significantly higher compression ratios than MongoDB, reducing storage requirements by over 10x in some workloads.
This document discusses garbage collection (GC) in the Hotspot Java Virtual Machine (JVM). It provides an overview of JVM structure and memory areas like the heap and method area. It then summarizes different GC algorithms used in the Hotspot JVM like the young generation GC, full GC, and parallel scavenge and mark-sweep compacting GCs. It also discusses GC tuning flags and tools like jstat and jvisualvm.
Viktor Turskyi presented Mole RPC, a new JSON RPC library he created. He discussed why existing JSON RPC libraries did not meet his needs of being transport agnostic, supporting bidirectional communication, and having a modern API. Mole RPC supports multiple transports including WebSockets, HTTP, MQTT and more. It aims to have a lightweight core with extensible transports and easy testing of new transports. Viktor outlined several use cases for Mole RPC and plans to improve documentation, finalize the API, and create additional transports prior to a 1.0 release.
Kraken is a P2P docker image distribution system. It’s loosely based on BitTorrent protocol, fully compatible with docker registry API, and supports pluggable storage backends like S3, HDFS, etc. It successfully solved scaling problems we saw under different scenarios, also greatly sped up container deployment.
KubeCon EU 2019 - P2P Docker Image Distribution in Hybrid Cloud Environment w...Yiran Wang
Docker image is a foundational building block of container based infrastructure, but distributing high volume of docker images in a multi-zone, hybrid cloud system has been a scaling problem for many.
In this talk, we will walk through different approaches we investigated for distributing docker images and introduce Uber’s own solution, Kraken, a P2P docker registry loosely based on BitTorrent protocol, and capable of distributing terabytes of images within seconds.
This talk will cover:
- Image distribution solutions and their characteristics
- Whether you need a p2p solution
- Architecture, performance and security features of Kraken
- How to deploy Kraken in a Kubernetes cluster
This document discusses Chartbeat's use of MongoDB and Amazon EC2. Chartbeat stores real-time analytics data and historical data in MongoDB clusters running on EC2. They faced challenges with disappearing EC2 instances, poor I/O performance on EBS volumes, and unpredictable EC2 performance. To address these, Chartbeat uses replica sets for high availability, preallocates data to reduce fragmentation, and heavily monitors servers and MongoDB for issues. Automating processes and monitoring are important strategies for stable MongoDB on EC2.
This document provides an overview of key Kubernetes concepts including containers, pods, volumes, deployments, services, configmaps, secrets, replica sets, and horizontal pod autoscaling. It describes the basic building blocks in Kubernetes like pods, containers, volumes, labels and selectors. It also covers different types of services, deployments for declarative updates, replica sets for scaling pods, and horizontal pod autoscaling for autoscaling based on CPU utilization.
This document discusses using Ruby on Rails web applications on servers. It recommends using Ruby Version Manager (RVM) to manage multiple Ruby versions and environments. Typical web applications use 100,000-200,000 memory slots total, with 2,000-10,000 objects per request. The falcon Ruby patch improves performance. Foreman can be used to launch Resque workers and schedulers, and export the configuration. Capistrano and restarting workers via signals allows for seamless code deployments.
Pierre Mavro from Criteo discussed Couchbase usage at their company. Criteo has over 100 Couchbase clusters storing over 90TB of data serving up to 25 million queries per second. They benchmarked Couchbase and found network bandwidth and replicas increased latency. To improve, Criteo monitored latency, split workloads across clusters, automated operations, and tuned Couchbase and systems. Their changes helped Couchbase scale for Criteo's large workload.
Improving DragonFly's performance with PostgreSQL by Francois Tigeoteurobsdcon
Abstract
Since its creation, the DragonFly operating system had contained a giant lock in its kernel, preventing more than one thread to use kernel resources at the same time. This big lock was finally removed after the 2.10 release. I then started to look for a good way to test the multi-processor performance and scalability of the operating system. PostgreSQL seemed to fit the bill with its PGbench tool. This talk focuses on how PostgreSQL was used as a benchmarking tool to check and improve DragonFly's performance and scalability.
Speaker bio
Francois Tigeot is independent consultant and sysadmin doing *BSD and PostgreSQL since 1999. DragonFly developer since 2011
Rails Conf Europe 2007 - Utilizing Amazon S3 and EC2 in RailsJonathan Weiss
This document discusses using Amazon S3 and EC2 services with Ruby on Rails applications. It describes S3 as a redundant storage service that can be used for file storage and backups. EC2 is described as an on-demand computing service that provides virtual servers running Linux. The document provides examples of using S3 for asset hosting, backups, and user data storage with Rails applications. It also demonstrates how EC2 can be used to add computing capacity when needed and discusses load balancing across EC2 instances.
Use Somebody Else's Infrastructure - Utilizing Amazon S3 and EC2Jonathan Weiss
Scaling a Web Application is a very hard problem, especially for small project and teams who do not have sufficient manpower, money, and time to solve this problem. Luckily Amazon already had to solve this problem in their datacenters and offers their services to other developers. This talk will introduce the two most important Amazon Web Services, the Elastic Compute Cloud (EC2) and the Simple Storage Service (S3), and will present different ways to leverage them in your own web application. Ruby on Rails will be used for the examples but they will apply to any web framework. Several use-cases will be covered that show how S3 and EC2 can be used to move load from your servers to Amazon's or even to completely host your application at Amazon.
The document summarizes new features and updates in Ceph's RBD block storage component. Key points include: improved live migration support using external data sources; built-in LUKS encryption; up to 3x better small I/O performance; a new persistent write-back cache; snapshot quiesce hooks; kernel messenger v2 and replica read support; and initial RBD support on Windows. Future work planned for Quincy includes encryption-formatted clones, cache improvements, usability enhancements, and expanded ecosystem integration.
Presentation given at the GoSF meetup on July 20, 2016. It was also recorded on BigMarker here: https://www.bigmarker.com/remote-meetup-go/GoSF-EVCache-Peripheral-I-O-Building-Origin-Cache-for-Images
G1 has been around for quite some time now and since JDK 9 it is the default garbage collector in OpenJDK. The community working on G1 is big and the contributions over the last few years have made a significant impact on the overall performance. This talk will focus on some of these features and how they have improved G1 in various ways, including smaller memory footprint and shorter P99 pause times. We will also take a brief look at what features we have lined up for the future.
This document discusses benchmarking HTTP/2 using the h2load tool. It provides examples of using h2load to test various HTTP/2 configurations and protocols. The document also summarizes several experiments comparing performance of HTTP/2 with different settings, such as with or without domain sharding, combo handling, and different servers like ATS and nghttpx. It concludes that we need to consider server capacity for HTTP/2 deployments and that h2load is not perfect, providing opportunities for contribution.
This document discusses disaster recovery for oVirt virtualization environments. It describes how oVirt has evolved to support disaster recovery through exporting and importing storage domains. However, this process was manual. oVirt 4.2 added more attributes to OVF files to support automatic registration of VMs and templates between sites. Ansible roles are now available to automate failover and failback between primary and secondary oVirt sites using mapping files. The roles generate mappings, import storage domains, register VMs and templates, and start VMs to recover the secondary site or restore the primary site.
Introducing TokuMX: The Performance Engine for MongoDB (NYC.rb 2013-12-10)leifwalsh
TokuMX is a drop-in replacement for MongoDB that provides improved storage and performance. It uses its own indexing architecture called Fractal Tree indexing to allow for highly compressed and concurrent operations on indexes larger than available RAM. TokuMX offers features like ACID compliance and MVCC for increased consistency compared to MongoDB. It provides significantly higher compression ratios than MongoDB, reducing storage requirements by over 10x in some workloads.
This document discusses garbage collection (GC) in the Hotspot Java Virtual Machine (JVM). It provides an overview of JVM structure and memory areas like the heap and method area. It then summarizes different GC algorithms used in the Hotspot JVM like the young generation GC, full GC, and parallel scavenge and mark-sweep compacting GCs. It also discusses GC tuning flags and tools like jstat and jvisualvm.
Viktor Turskyi presented Mole RPC, a new JSON RPC library he created. He discussed why existing JSON RPC libraries did not meet his needs of being transport agnostic, supporting bidirectional communication, and having a modern API. Mole RPC supports multiple transports including WebSockets, HTTP, MQTT and more. It aims to have a lightweight core with extensible transports and easy testing of new transports. Viktor outlined several use cases for Mole RPC and plans to improve documentation, finalize the API, and create additional transports prior to a 1.0 release.
Kraken is a P2P docker image distribution system. It’s loosely based on BitTorrent protocol, fully compatible with docker registry API, and supports pluggable storage backends like S3, HDFS, etc. It successfully solved scaling problems we saw under different scenarios, also greatly sped up container deployment.
KubeCon EU 2019 - P2P Docker Image Distribution in Hybrid Cloud Environment w...Yiran Wang
Docker image is a foundational building block of container based infrastructure, but distributing high volume of docker images in a multi-zone, hybrid cloud system has been a scaling problem for many.
In this talk, we will walk through different approaches we investigated for distributing docker images and introduce Uber’s own solution, Kraken, a P2P docker registry loosely based on BitTorrent protocol, and capable of distributing terabytes of images within seconds.
This talk will cover:
- Image distribution solutions and their characteristics
- Whether you need a p2p solution
- Architecture, performance and security features of Kraken
- How to deploy Kraken in a Kubernetes cluster
This document discusses Chartbeat's use of MongoDB and Amazon EC2. Chartbeat stores real-time analytics data and historical data in MongoDB clusters running on EC2. They faced challenges with disappearing EC2 instances, poor I/O performance on EBS volumes, and unpredictable EC2 performance. To address these, Chartbeat uses replica sets for high availability, preallocates data to reduce fragmentation, and heavily monitors servers and MongoDB for issues. Automating processes and monitoring are important strategies for stable MongoDB on EC2.
This document provides an overview of key Kubernetes concepts including containers, pods, volumes, deployments, services, configmaps, secrets, replica sets, and horizontal pod autoscaling. It describes the basic building blocks in Kubernetes like pods, containers, volumes, labels and selectors. It also covers different types of services, deployments for declarative updates, replica sets for scaling pods, and horizontal pod autoscaling for autoscaling based on CPU utilization.
This document discusses using Ruby on Rails web applications on servers. It recommends using Ruby Version Manager (RVM) to manage multiple Ruby versions and environments. Typical web applications use 100,000-200,000 memory slots total, with 2,000-10,000 objects per request. The falcon Ruby patch improves performance. Foreman can be used to launch Resque workers and schedulers, and export the configuration. Capistrano and restarting workers via signals allows for seamless code deployments.
The document discusses MapsWithMe, an app that provides offline maps without data roaming charges. It has over 1.5 million downloads and is profitable. It uses OpenStreetMap data, which is open-source like Wikipedia. The document also discusses MapCSS for styling maps, osmconvert for processing OpenStreetMap data, and openwlanmap for mapping WiFi access points.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
8. What's nextWhat's next
● Пользуйтесь tile.openstreetmap.org
● Настройте свой DNS нормально (не 8.8.8.8)
● http://by.tile.openstreetmap.org/
● Donate! (me@komzpa.net)