The talk presented at MySQL & Friends devroom at FOSDEM 2016 in Brussels: https://fosdem.org/2016/schedule/event/clusternaut/
Devroom: https://fosdem.org/2016/schedule/track/mysql_and_friends/
Presented at Stream Processing Meetup (7/19/2018)(https://www.meetup.com/Stream-Processing-Meetup-LinkedIn/events/251481797/).
At Uber, we operate 20+ Kafka clusters to collect system and application logs as well as event data from rider and driver apps. We need a Kafka replication solution to replicate data between Kafka clusters across multiple data centers for different purposes. This talk will introduce the history behind uReplicator and the high level architecture. As the original uReplicator ran into scalability challenges and operational overhead as the scale of Kafka clusters increased, we built the Federated uReplicator which addressed above issues and provide an extensible architecture for further scaling.
Presented at Stream Processing Meetup (7/19/2018)(https://www.meetup.com/Stream-Processing-Meetup-LinkedIn/events/251481797/).
At Uber, we operate 20+ Kafka clusters to collect system and application logs as well as event data from rider and driver apps. We need a Kafka replication solution to replicate data between Kafka clusters across multiple data centers for different purposes. This talk will introduce the history behind uReplicator and the high level architecture. As the original uReplicator ran into scalability challenges and operational overhead as the scale of Kafka clusters increased, we built the Federated uReplicator which addressed above issues and provide an extensible architecture for further scaling.
This talk is from Distributed Data Summit SF 2018 - http://distributeddatasummit.com/2018-sf/sessions#chella
Audit logging is one of the most critical features in an enterprise-ready database in terms of security compliance. Furthermore, live traffic troubleshooting is critical for operators to troubleshoot production issues quickly. While past versions have lacked these critical features, the Cassandra team understood the need for better solutions and in the upcoming release of Cassandra both of these features now come out of the box which makes Cassandra even more awesome to work with. Cassandra now supports Audit logging and query logging as part of C* itself. As part of this talk, audience will learn about how to enable, configure, and tune audit logging for their C* clusters and how to log live traffic/queries for serverel needs including troubleshooting or even live traffic reply
HBaseCon2017 Analyzing cryptocurrencies in real time with hBase, Kafka and St...HBaseCon
Unlike other blockchain technologies that take hours to settle, Ripple can confirm and settle a transaction in seconds with a throughput of a 1000 transactions a second. Designing a real-time analytics solution needed a something that was scalable, reliable and most importantly guaranteed consistency at the speed of availability.
The combination of hBase as storage, and Kafka and Storm as the processing framework allows Ripple to publish transactional activity within milliseconds of committed transaction. Queries are funnelled through a diverse set of hand crafted API. RippleCharts is the public facing visual analytics on nodeJS(D3) that heavily leverages those API, but we also leverage the same resources to provide to our compliance analysts valuable information for investigations and research.
by Abraham Tom and Warren Anderson of Ripple
Kafka’s New Control Plane: The Quorum Controller | Colin McCabe, ConfluentHostedbyConfluent
Currently, Apache Kafka® uses Apache ZooKeeper™ to store its metadata. Data such as the location of partitions and the configuration of topics are stored outside of Kafka itself, in a separate ZooKeeper cluster. In 2019, we outlined a plan to break this dependency and bring metadata management into Kafka itself through a dynamic service that runs inside the Kafka Cluster. We call this the Quorum Controller.
In this talk, we’ll look at how the Quorum Controller works and how it integrates with other parts of the next-generation Kafka architecture, such as the Raft quorum and snapshotting mechanism. We’ll also explain how the Quorum Controller will simplify operations, improve security, and enhance scalability and performance.
Finally, we’ll look at some of the practicalities, such as how to monitor and run the Quorum Controller yourself. We’ll talk about some of the performance gains we’ve seen, and our plans for the future.
hbaseconasia2017: HBase Practice At XiaoMiHBaseCon
Zheng Hu
We'll share some HBase experience at XiaoMi:
1. How did we tuning G1GC for HBase Clusters.
2. Development and performance of Async HBase Client.
hbaseconasia2017 hbasecon hbase xiaomi https://www.eventbrite.com/e/hbasecon-asia-2017-tickets-34935546159#
Streaming Data from Cassandra into KafkaAbrar Sheikh
Yelp has built a robust stream processing ecosystem called Data Pipeline. As part of this system we created a Cassandra Source Connector, which streams data updates made to Cassandra into Kafka in real time. We use Cassandra CDC and leverage the stateful stream processing of Apache Flink to produce a Kafka stream containing the full content of each modified row, as well as its previous value.
https://www.datastax.com/accelerate/agenda?session=Streaming-Cassandra-into-Kafka
How Criteo is managing one of the largest Kafka Infrastructure in EuropeRicardo Paiva
In Criteo we manage one of the largest Kafka infrastructure in Europe, with more than 7 million msgs/sec. This talk was first presented on the Kafka Meetup Paris, in January of 2019.
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
hbaseconasia2019 Test-suite for Automating Data-consistency checks on HBaseMichael Stack
Pradeep S, Mallikarjun V of Flipkart
Track 1: Internals
https://open.mi.com/conference/hbasecon-asia-2019
THE COMMUNITY EVENT FOR APACHE HBASE™
July 20th, 2019 - Sheraton Hotel, Beijing, China
https://hbase.apache.org/hbaseconasia-2019/
Stream Processing Live Traffic Data with Kafka StreamsTim Ysewyn
In this workshop we will set up a streaming framework which will process realtime data of traffic sensors installed within the Belgian road system.
Starting with the intake of the data, you will learn best practices and the recommended approach to split the information into events in a way that won’t come back to haunt you.
With some basic stream operations (count, filter, … ) you will get to know the data and experience how easy it is to get things done with Spring Boot & Spring Cloud Stream. But since simple data processing is not enough to fulfill all your streaming needs, we will also let you experience the power of windows.
After this workshop, tumbling, sliding and session windows hold no more mysteries and you will be a true streaming wizard.
In order to effectively predict and prevent online fraud in real time, Sift Science stores hundreds of terabytes of data in HBase—and needs it to be always available. This talk will cover how we used circuit-breaking, cluster failover, monitoring, and automated recovery procedures to improve our HBase uptime from 99.7% to 99.99% on top of unreliable cloud hardware and networks.
An introduction to Netty. A powerful framework to develop networking applications.
This is suppose to be followed as hands on training, as the exercises on the slides imply, but can be also used an introduction guidance.
This talk is from Distributed Data Summit SF 2018 - http://distributeddatasummit.com/2018-sf/sessions#chella
Audit logging is one of the most critical features in an enterprise-ready database in terms of security compliance. Furthermore, live traffic troubleshooting is critical for operators to troubleshoot production issues quickly. While past versions have lacked these critical features, the Cassandra team understood the need for better solutions and in the upcoming release of Cassandra both of these features now come out of the box which makes Cassandra even more awesome to work with. Cassandra now supports Audit logging and query logging as part of C* itself. As part of this talk, audience will learn about how to enable, configure, and tune audit logging for their C* clusters and how to log live traffic/queries for serverel needs including troubleshooting or even live traffic reply
HBaseCon2017 Analyzing cryptocurrencies in real time with hBase, Kafka and St...HBaseCon
Unlike other blockchain technologies that take hours to settle, Ripple can confirm and settle a transaction in seconds with a throughput of a 1000 transactions a second. Designing a real-time analytics solution needed a something that was scalable, reliable and most importantly guaranteed consistency at the speed of availability.
The combination of hBase as storage, and Kafka and Storm as the processing framework allows Ripple to publish transactional activity within milliseconds of committed transaction. Queries are funnelled through a diverse set of hand crafted API. RippleCharts is the public facing visual analytics on nodeJS(D3) that heavily leverages those API, but we also leverage the same resources to provide to our compliance analysts valuable information for investigations and research.
by Abraham Tom and Warren Anderson of Ripple
Kafka’s New Control Plane: The Quorum Controller | Colin McCabe, ConfluentHostedbyConfluent
Currently, Apache Kafka® uses Apache ZooKeeper™ to store its metadata. Data such as the location of partitions and the configuration of topics are stored outside of Kafka itself, in a separate ZooKeeper cluster. In 2019, we outlined a plan to break this dependency and bring metadata management into Kafka itself through a dynamic service that runs inside the Kafka Cluster. We call this the Quorum Controller.
In this talk, we’ll look at how the Quorum Controller works and how it integrates with other parts of the next-generation Kafka architecture, such as the Raft quorum and snapshotting mechanism. We’ll also explain how the Quorum Controller will simplify operations, improve security, and enhance scalability and performance.
Finally, we’ll look at some of the practicalities, such as how to monitor and run the Quorum Controller yourself. We’ll talk about some of the performance gains we’ve seen, and our plans for the future.
hbaseconasia2017: HBase Practice At XiaoMiHBaseCon
Zheng Hu
We'll share some HBase experience at XiaoMi:
1. How did we tuning G1GC for HBase Clusters.
2. Development and performance of Async HBase Client.
hbaseconasia2017 hbasecon hbase xiaomi https://www.eventbrite.com/e/hbasecon-asia-2017-tickets-34935546159#
Streaming Data from Cassandra into KafkaAbrar Sheikh
Yelp has built a robust stream processing ecosystem called Data Pipeline. As part of this system we created a Cassandra Source Connector, which streams data updates made to Cassandra into Kafka in real time. We use Cassandra CDC and leverage the stateful stream processing of Apache Flink to produce a Kafka stream containing the full content of each modified row, as well as its previous value.
https://www.datastax.com/accelerate/agenda?session=Streaming-Cassandra-into-Kafka
How Criteo is managing one of the largest Kafka Infrastructure in EuropeRicardo Paiva
In Criteo we manage one of the largest Kafka infrastructure in Europe, with more than 7 million msgs/sec. This talk was first presented on the Kafka Meetup Paris, in January of 2019.
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
hbaseconasia2019 Test-suite for Automating Data-consistency checks on HBaseMichael Stack
Pradeep S, Mallikarjun V of Flipkart
Track 1: Internals
https://open.mi.com/conference/hbasecon-asia-2019
THE COMMUNITY EVENT FOR APACHE HBASE™
July 20th, 2019 - Sheraton Hotel, Beijing, China
https://hbase.apache.org/hbaseconasia-2019/
Stream Processing Live Traffic Data with Kafka StreamsTim Ysewyn
In this workshop we will set up a streaming framework which will process realtime data of traffic sensors installed within the Belgian road system.
Starting with the intake of the data, you will learn best practices and the recommended approach to split the information into events in a way that won’t come back to haunt you.
With some basic stream operations (count, filter, … ) you will get to know the data and experience how easy it is to get things done with Spring Boot & Spring Cloud Stream. But since simple data processing is not enough to fulfill all your streaming needs, we will also let you experience the power of windows.
After this workshop, tumbling, sliding and session windows hold no more mysteries and you will be a true streaming wizard.
In order to effectively predict and prevent online fraud in real time, Sift Science stores hundreds of terabytes of data in HBase—and needs it to be always available. This talk will cover how we used circuit-breaking, cluster failover, monitoring, and automated recovery procedures to improve our HBase uptime from 99.7% to 99.99% on top of unreliable cloud hardware and networks.
An introduction to Netty. A powerful framework to develop networking applications.
This is suppose to be followed as hands on training, as the exercises on the slides imply, but can be also used an introduction guidance.
This talk was given at Cassandra London meetup: https://www.meetup.com/Cassandra-London/events/267271963/ . The talk is about orchestration of Cassandra with our Kubernetes Operator and Yelp PaaSTA. We also outline some of the opportunities and challenges associated with this architecture.
Youtube link: https://www.youtube.com/watch?v=JqAILFkkibA
Terraforming your Infrastructure on GCPSamuel Chow
A talk I gave at the Google Cloud Platform LA Meetup event at Google Playa Vista on Nov 6, 2019. This is a 1+ hour-long, tutorial-oriented talk on Infrastructure as Code (IaC), Terraform (as a toolset for IaC and modern devops), and leverage the practice and tools in defining, deploying, and managing your infrastructure in GCP.
Orchestrating Cassandra with Kubernetes Operator and PaaSTARaghavendra Prabhu
Video URL: https://youtu.be/GjI6MUz7AyE
This is the slide deck of the Percona Live Online 2020 talk given by me in May 2020: https://www.percona.com/resources/videos/orchestrating-cassandra-kubernetes-operator-and-yelp-paasta-percona-live-online
The talk delves into the architecture of our Cassandra Kubernetes Operator and the multi-region multi-AZ clusters it manages, and strategies we have in place for safe rollouts and zero-downtime migration.
Build real time stream processing applications using Apache KafkaHotstar
This talk was presented at the Hotstar Scale Meetup in Bangalore by Jayesh Sidhwani
In this talk, the presenter introduces Apache Kafka and the Apache Kafka Streams library. Starting from the need for building streaming applications to thinking the use-cases as a streaming job - this talk covers all the technicalities.
It ends with a short description of how Kafka is deployed and used at Hotstar
Netflix Open Source Meetup Season 4 Episode 2aspyker
In this episode, we will take a close look at 2 different approaches to high-throughput/low-latency data stores, developed by Netflix.
The first, EVCache, is a battle-tested distributed memcached-backed data store, optimized for the cloud. You will also hear about the road ahead for EVCache it evolves into an L1/L2 cache over RAM and SSDs.
The second, Dynomite, is a framework to make any non-distributed data-store, distributed. Netflix's first implementation of Dynomite is based on Redis.
Come learn about the products' features and hear from Thomson and Reuters, Diego Pacheco from Ilegra and other third party speakers, internal and external to Netflix, on how these products fit in their stack and roadmap.
NetflixOSS Meetup S3 E1, covering latest components in Distributed Databases, Telemetry systems, Big Data tools and more. Speakers from Netflix, IBM Watson, Pivotal and Nike Digital
Top 10 present and future innovations in the NoSQL Cassandra ecosystem (2022)Cédrick Lunven
Are you new to Apache Cassandra® and wondering what all the excitement is about? Or a veteran Cassandra user interested in understanding what’s new in the project?
Attend our live webinar on October 18 to learn about the latest Cassandra release and why it represents a big step forward but also all the initiative and new projects rising in the ecosystem, DataStax Director of Developer Relations Cedrick Lunven will walk you through new features in version 4.1.
Get the inside scoop on how version 4.1 adds exciting new features for operators and improves the security posture, without compromising the stability achieved in Cassandra 4.0. Get some insights about projects actually in progress to make Cassandra more easy to use (Stargate) but also to deploy (K8ssandra).
You will learn:
System-wide Guardrails
Denylisting Partition Keys
Diagnostic events via CQL, not just JMX
CQLSH Auth support for LDAP, Kerberos and more
Lots of new, pluggable extension points
Also, celebrate our open source community with highlights from the 2022 Apache Cassandra World Party and a look ahead to Cassandra 5.0!
This talk is about Taskerman, a distributed cluster task manager built on top of AWS SQS, Zookeeper and Yelp PaaSTA. The talk was given at Imperial College, London as part of its 'Application of Computing in Industry' series: http://www.imperial.ac.uk/computing/industry/aci/yelp/
Orchestrating Cassandra with Kubernetes: Challenges and OpportunitiesRaghavendra Prabhu
This is a talk about orchestration of Cassandra with cassandra operator, kubernetes and Yelp PaaSTA (https://github.com/Yelp/paasta).
The talk was presented at Computer Laboratory, University of Cambridge as part of the Engineering, Science and Technology Event (https://www.careers.cam.ac.uk/recruiting/event2Tech.asp) in November 2019.
Building infrastructure with Terraform (Google)Radek Simko
Building your infrastructure as one-off thing by clicking in the UI of your chosen cloud provider may be easy, but that isn't scalable nor fun in long-term nor in team.
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions.
By, Pradipta Banerjee
Planning to use Docker and Kubernetes in production for cloud-native apps. Concerned about how to integrate a Kubernetes cluster into your existing infrastructure!! This talk will take you through some of the common challenges when deploying an on-prem Kubernetes cluster and how to address those challenges
Similar to Clusternaut: Orchestrating Percona XtraDB Cluster with Kubernetes. (20)
This talk is about orchestration of Cassandra on Kubernetes with Cassandra Operator and Yelp's Platform-as-a-Service: PaaSTA. The talk focusses specifically on the internals of cassandra operator and its core reconcile loop for reconciliation of cluster state and on-disk configuration.
This is a talk about safe and high velocity automation on AWS (Amazon Web Services) with AWS Systems Manager, and is applicable for use cases such as reliability engineering and deployment automation.
Talk given on state of NUMA with Java databases such as Cassandra and how it can improved / ameliorated, and compared with traditional storage engines.
Gone are those days when companies used to be strictly colocated in a single office. Distributed workplaces are gradually becoming the norm than an exception. So, it is essential that we talk more about it and discuss it.
So, this talk is essentially about:
a) Productivity and working from home.
b) Scheduling flexibility.
c) Challenges in communication and ways to overcome them.
d) Ways of getting such a job and Open Source.
e) Measuring work and micro-management
f) Feeling of detachment and workarounds for it.
To sum up, I will make this talk a very informative and entertaining one, as a lightning talk ought to be.
Securing databases with systemd for containers and services Raghavendra Prabhu
Data is the most valuable entity associated with a system, particularly when it is a sensitive one. Not only are there threats associated with physical access
to the box, but also ones where logical access suffices - sql injections etc.
Vulnerabilities like shellshock and heartbleed have also shown that an exploit in one component can also be used to access others through buffer overflows, memory overruns etc. and/or impact the immunity of system severely.
This is where "Principle of least privilege" comes into play. Wikipedia defines it as "a particular abstraction layer of a computing environment, every module (such as a process, a user or a program depending on the subject) must be able to access only the information and resources that are necessary for its legitimate purpose".
Dock'em: Distributed Systems Testing with NetEm and Docker Raghavendra Prabhu
This talk is about distributed systems testing of Galera with NetEm and Docker!
Video of the talk: https://www.youtube.com/watch?v=YBuuvhSO38s&list=PLctlsn9Gs8wbx47tuhxuNytdrsDf_LWI2&index=1
Playlist: https://www.youtube.com/playlist?list=PLctlsn9Gs8wbx47tuhxuNytdrsDf_LWI2
Galera with Docker: How Synchronous Replication and Linux Containers mesh tog...Raghavendra Prabhu
How Galera (Synchronous replication plugin for Percona XtraDB Cluster) can be used with Docker (or linux containers in general) to 'mesh' well.
Video of the talk: https://www.youtube.com/watch?v=3A8EF549Q3Y&list=PLctlsn9Gs8wbx47tuhxuNytdrsDf_LWI2&index=2
Playlist: http://www.youtube.com/playlist?list=PLctlsn9Gs8wbx47tuhxuNytdrsDf_LWI2
Jutsu or Dô: Open documentation: continuous process than a body Raghavendra Prabhu
This talk is about open source documentation and how it can be improved for the community!
Video: https://www.youtube.com/watch?v=sG6jORFwhEA&list=PLctlsn9Gs8wbx47tuhxuNytdrsDf_LWI2&index=3
Playlist: http://www.youtube.com/playlist?list=PLctlsn9Gs8wbx47tuhxuNytdrsDf_LWI2
Corpus collapsum: Partition tolerance of Galera in a noisy high load environmentRaghavendra Prabhu
This is the talk given at Highload++ 2014 in Moscow, Russia. The topic was partition tolerance testing of Galera in a noisy high load environment with NetEm and Docker.
Corpus collapsum: Partition tolerance of Galera put to testRaghavendra Prabhu
This is the talk given at RICON 2014 (ricon.io) on partition tolerance testing of Galera with docker and netem.
Video: https://www.youtube.com/watch?v=xRD6A8TY_Uw
Link to the talk: http://ricon.io/event-details/index.html#corpus-collapsum
Acidic clusters - Review of contemporary ACID-compliant databases with synchr...Raghavendra Prabhu
This talk reviews database clusters of our time which employ synchronous replication while being ACID compliant. ACID compliance implies ability to support transactions across nodes. As part of this talk, PXC (Percona XtraDB Cluster)/Galera, Google F1 based on Spanner/CFS and MySQL Cluster will be considered. Primary objective here is to expound features of
each in order to highlight differentiating factors and commonality between them.
Running virtualized Galera instances for fun and profitRaghavendra Prabhu
This is the talk given at linux conf au 2014, Perth in the sysadmin miniconf.
The talk is on how Galera instances can be used better when there is virtualization in place, as in today's OpenStack environments and such.
ACIDic Clusters: Review of current relation databases with synchronous replic...Raghavendra Prabhu
These are the slides from the talk given at Percona Live 2014 MySQL Conference and Expo (PLMCE): http://www.percona.com/live/mysql-conference-2014/sessions/acidic-clusters-review-current-relational-databases-synchronous-replication
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
10. The Fit
➔ Layered
◆ Client - Server
◆ Multi-layered
➔ Scaling
◆ Horizontal and Vertical
● Preferred?
➔ Statelessness in databases
◆ Planes of logic: Control/Data
➔ Elasticity
◆ Elastic Scalability
11. Declarative vs Imperative
➔ Configurable mgmt
◆ Puppet, Nix, Terraform
➔ Microservices
◆ What runs on my laptop
● What runs on server
● Reproducibility
➔ 12-factor app
➔ Composability
➔ Immutable deployment artifact
12. Containers
● Wth is a container and why should I care
○ Operating system virtualization
● Isolation
○ Hierarchies of isolation - application, cgroups,
namespaces, seccomp…
● Unikernels and VMs
○ Role?
● Some - LXC, Docker*, Rocket*, runc, jails, solaris
zones, lmcty, systemd-nspawn
13. Galera - really short intro!
➔ MySQL and WSREP api
➔ Galera plugin
➔ Group communication
➔ Synchronous replication
◆ ‘Virtually’
➔ EVS
➔ Certification-based
◆ Optimistic Concurrency
➔ Automatic Node Provisioning
14. Galera - really short intro!
➔ CAP theorem and Galera
◆ CP
➔ How does it fit
◆ Others
◆ Idempotency
➔ Stateless?
◆ Symmetric
◆ Replicas - Cassandra et.al.
◆ MySQL Cluster
➔ Maintenance of Quorum
15. Orchestration
● SOA def
○ ‘Stitching’
○ ‘Composing’
● Automation?
● Choreography
● Best of both worlds
16. Kubernetes
➔ Constituents:
◆ Kubelet
◆ Pods
● Main service & helpers
◆ Services
● The gcomm:// URL.
◆ Replication Controller
◆ Labels and Selectors
● MCollective
22. Services
● Don’t commingle with `microservices`
● Think of endpoints.
● Layering architecture
○ Logical address of subset of pods
● Communication
○ Environment
■ Ordering requirement
■ Discovery
○ DNS
■ Issues with DNS
23. Replication Controller
● “Herd Management”
● ASG
● Pod template
○ Pattern
○ Anti-pattern
● Role
○ Init for cluster
○ Rolling updates
○ Multi-version
24. Networking
● Docker-style linking
● Proxy for Pods
● Types
○ Pod to Pod
○ Pod to Service
○ Intra-Pod
○ External to Service
● Providers:
○ OpenVSwitch / Flannel / Calico / Weave / Google
27. Deployment
● Declare and build individual Galera/PXC nodes.
○ Keep it minimal and simple
○ No assumptions
● Without Kubernetes
○ Docker-compose
■ Possible issues
● Galera node ⇔ Pod
○ Haproxy
○ xinetd
28. Deployment
● Basic Steps:
○ Create a ‘flat’ network - 10.0.0.0/24
○ Create a ‘cluster’ - zone
○ Create a service endpoint.
■ Internal service - 3306/4567/4568.
■ External service - 3306/3306(?).
■ Expose the external.
■ Session affinities.
29. Deployment
● Next:
○ Bootstrap a node Pod from a template.
■ Query existing with selector.
○ Start rest of nodes from template.
■ Point to Service with selector.
■ Replication controller
○ Volumes
30. Deployment - Implications
● Load balancing in state transfers
● Respawning of nodes on timeout
○ May not be same nodes.
● kubectl to manage
● Separation of client and cluster traffic