AWS Summit 2018 Milano
Our part of AWS presentation: Managed Relational Databases
https://www.slideshare.net/AmazonWebServices/database-relazionali-gestiti
This presentation provides overview of Windows Azure, comparing with AWS, and introduces many Azure services such as web role, storage services, Sql Azure, and much more.
The great migration embracing serverless first AngelaTimofte1
Serverless architectures can reduce operational cost and development time but it does come with an architectural overhead and complexity.
In this talk you'll get an insight on how Trustpilot adopted a serverless mindset. The benefits and challenges of migrating and refactoring our systems having a serverless first approach.
Learn how we mitigated the complexity of our services and cut down the cost on our infrastructure.
From the AWS Briefing that took place at Croke Park, Dublin on 20 March 2014. AWS customer Logentries discusses how AWS enables them to manage billions of events per day on behalf of their customers.
This presentation provides overview of Windows Azure, comparing with AWS, and introduces many Azure services such as web role, storage services, Sql Azure, and much more.
The great migration embracing serverless first AngelaTimofte1
Serverless architectures can reduce operational cost and development time but it does come with an architectural overhead and complexity.
In this talk you'll get an insight on how Trustpilot adopted a serverless mindset. The benefits and challenges of migrating and refactoring our systems having a serverless first approach.
Learn how we mitigated the complexity of our services and cut down the cost on our infrastructure.
From the AWS Briefing that took place at Croke Park, Dublin on 20 March 2014. AWS customer Logentries discusses how AWS enables them to manage billions of events per day on behalf of their customers.
Introduction to Serverless Computing using AWS presented at x-celerate 2018 by Nils Rhode. What kind of architectural pattern are used by Haufe.Group and how we realized the journey for going serverless.
Serverless szturmem zdobywa rynek - coraz więcej aplikacji korzysta z zalet tego podejścia osiągając bardzo dobre wyniki. Niestety, większość z widocących dostawców infrastruktury FaaS nie wspiera PHP out-of-box. Opowiem o tym czym jest serverless i jak tworząc projekt w PHP skorzystać z oferowanych przez to podejście zalet.
Serverless Computing: Run code, not serversx-celerate
Durch den Einzug von Cloud Computing erleben wir in der IT ein Wandel von Infrastructure as a Serivce (IaaS) über Software as a Serivce (SaaS) & Platform as a Service (PaaS) bis hin zu Function as a Service (FaaS) – auch bekannt unter dem Begriff Serverless Computing. Die Vorteile liegen dabei auf der Hand: bedarfsgerechte Abrechnung, schnelle und hohe Skalierbarkeit und eine einfache Möglichkeit den Ansatz von Microservices schnell und einfach umzusetzen. Der Einsatz von FaaS nimmt stark zu – auch wenn gleich viele diese Funktionen nur als kleine Helferlein benutzen und selten fester Bestandteil in einer Anwendung sind. Wie die Haufe.Group es geschafft hat, ganze Workflows und eine ganze Applikation rein auf FaaS aufzubauen und über 100 verschiedene Funktionen orchestriert bekommt, wird der Fokus des Vortrags sein. Dabei steht im Mittelpunkt das Analysieren & Importieren mehrere tausend Dokumente pro Sekunde. Zur Bewältigung dieser Aufgabe setzt die Haufe.Group auf die AWS Cloud und deren Services, wie auch das OpenSource Framework „Serverless Framework“ auf die im Vortrag eingegangen wird.
"Cars.com Journey to AWS Cloud" by Naresh Chintalcheru at Cars.com July 11 20...AWS Chicago
"Cars.com Journey to AWS Cloud" by Naresh Chintalcheru at Cars.com July 11 2018 AWS Chicago user group talk
"Cars.com Journey to AWS Cloud - Cars.com orchestrates 20+ services on-prem to aggregate data for Vehicle Details Page (VDP). The backend for VDP is re-architected using AWS Elasticache to improve performance and resilience" - Naresh Chintalcheru, Technical Architect at Cars.com
Genius: Machine Learning at Condè Nast ItalyMarco Viganò
Condè Nast Italy creates Genius, the Machine Learning system behind some of the most known brands like Vanity Fair, Vogue, GQ and Wired.
Genius helps these brands to improve the user experience inside their websites.
Starting from the idea and KPIs we take a look at the infrastructure which is a mix of technologies like AWS Rekognition, Kinesis, Sagemaker and Google Cloud Platform Computer Vision APis + Cloud Natural Language.
In the end some points related to the costs and the benefits in having a Serverless approach.
Orchestrating Network with Web Services - Session Sponsored by Megaport Amazon Web Services
AWS Direct Connect and VPCs allow for a fully private and stable backhaul between your private assets and cloud services without the need for significant encryption, tunneling, or other methods. While these components can be created on the fly with an API, the network component itself cannot. Megaport demonstrates a method of creating the network components in tandem with your AWS components so that the full solution is created in a single API call to a group of endpoints.
Speaker: Matt Simpson, Network specialist, Megaport
Machine Learning Melee: AWS ML vs. Azure MLFrank La Vigne
The world is drowning in data and there’s a gold rush in the business of turning data into actionable insight. In one corner, stands AWS, a long time cloud services innovator, that wants to leverage its PaaS dominance to take it into the next decade. In the other corner, stands a scrappy re-invigorated Microsoft with a new focus on making the cloud smarter.
Both are feverishly working on creating compelling solutions for developers to build intelligent solutions upon. Is one better than the other? What are each one’s strengths and weaknesses?
And what does Google have up its sleeve?
Come to this session to get a first hand account of a former Microsoft evangelist now working at an AWS partner startup, who promises to keep it a good clean fight!
Esta sesión está enfocada en mostrar cómo las empresas pueden optimizar sus recursos a través de las soluciones basadas en la nube, poniendo foco en la diferenciación, la innovación y reducción de riesgos en la infraestructura.
Por Ricardo Rentería de Amazon
World's best AWS Cloud Log Analytics & Management ToolCloudlytics
Overview of Cloudlytics Features, Pricing Details, Offers to AWS Activate Customers, AWS Marketplace Info & A Sneak Preview of All the Analytics ( The Reports Section will be covered in Detail in our Next Presentation.)
AWS October Webinar Series - Introducing Amazon QuickSightAmazon Web Services
Amazon QuickSight is a very fast, cloud-powered business intelligence (BI) service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.
In this webinar, we will demonstrate how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes. We will also introduce SPICE, a new Super-fast, Parallel, In-memory, Calculation Engine in Amazon QuickSight, which performs advanced calculations and renders visualizations rapidly without requiring any additional infrastructure, SQL programming, or dimensional modeling, so you can seamlessly scale to hundreds of thousands of users. Lastly, you will see how Amazon QuickSight provides you with smart visualizations and graphs that are optimized for your different data types, to ensure the most suitable and appropriate visualization to conduct your analysis, and how to share these visualization stories using the built-in collaboration tools.
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty at Shoppertrak - J...AWS Chicago
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty, Director of Technology Operations at Shoppertrak
From the July 11 AWS user group event at Motorola Solutions
Analyzing and processing FInancial Market Data on AWS with Kinesis - AWS Pop ...Florian Benz
Processing real-time market data is an essential part of financial services companies operating on the stock market. This data comes in “big and fast” - thousands of ticks per second - requiring transformation for fast and efficient access by our apps and services as well as storage for compliance and research purposes. In this session, you will learn about Scalable Capital’s evaluation journey. How we ended up with a solution around Amazon Kinesis, and how we are processing and analyzing market data now. A combination of AWS services allowed us to build a solution that is scalable, efficient and tailored to our needs. A Fargate service receives market data and puts it into Kinesis. Lambda functions transform and store data in ElastiCache. From there, the data can either be accessed in an aggregated form or streamed to other services for further processing. Amazon Kinesis Data Firehose is used to store all data on Amazon S3.
Presented at the AWS Pop Up Loft Munich on November 14, 2019
Introduction to Serverless Computing using AWS presented at x-celerate 2018 by Nils Rhode. What kind of architectural pattern are used by Haufe.Group and how we realized the journey for going serverless.
Serverless szturmem zdobywa rynek - coraz więcej aplikacji korzysta z zalet tego podejścia osiągając bardzo dobre wyniki. Niestety, większość z widocących dostawców infrastruktury FaaS nie wspiera PHP out-of-box. Opowiem o tym czym jest serverless i jak tworząc projekt w PHP skorzystać z oferowanych przez to podejście zalet.
Serverless Computing: Run code, not serversx-celerate
Durch den Einzug von Cloud Computing erleben wir in der IT ein Wandel von Infrastructure as a Serivce (IaaS) über Software as a Serivce (SaaS) & Platform as a Service (PaaS) bis hin zu Function as a Service (FaaS) – auch bekannt unter dem Begriff Serverless Computing. Die Vorteile liegen dabei auf der Hand: bedarfsgerechte Abrechnung, schnelle und hohe Skalierbarkeit und eine einfache Möglichkeit den Ansatz von Microservices schnell und einfach umzusetzen. Der Einsatz von FaaS nimmt stark zu – auch wenn gleich viele diese Funktionen nur als kleine Helferlein benutzen und selten fester Bestandteil in einer Anwendung sind. Wie die Haufe.Group es geschafft hat, ganze Workflows und eine ganze Applikation rein auf FaaS aufzubauen und über 100 verschiedene Funktionen orchestriert bekommt, wird der Fokus des Vortrags sein. Dabei steht im Mittelpunkt das Analysieren & Importieren mehrere tausend Dokumente pro Sekunde. Zur Bewältigung dieser Aufgabe setzt die Haufe.Group auf die AWS Cloud und deren Services, wie auch das OpenSource Framework „Serverless Framework“ auf die im Vortrag eingegangen wird.
"Cars.com Journey to AWS Cloud" by Naresh Chintalcheru at Cars.com July 11 20...AWS Chicago
"Cars.com Journey to AWS Cloud" by Naresh Chintalcheru at Cars.com July 11 2018 AWS Chicago user group talk
"Cars.com Journey to AWS Cloud - Cars.com orchestrates 20+ services on-prem to aggregate data for Vehicle Details Page (VDP). The backend for VDP is re-architected using AWS Elasticache to improve performance and resilience" - Naresh Chintalcheru, Technical Architect at Cars.com
Genius: Machine Learning at Condè Nast ItalyMarco Viganò
Condè Nast Italy creates Genius, the Machine Learning system behind some of the most known brands like Vanity Fair, Vogue, GQ and Wired.
Genius helps these brands to improve the user experience inside their websites.
Starting from the idea and KPIs we take a look at the infrastructure which is a mix of technologies like AWS Rekognition, Kinesis, Sagemaker and Google Cloud Platform Computer Vision APis + Cloud Natural Language.
In the end some points related to the costs and the benefits in having a Serverless approach.
Orchestrating Network with Web Services - Session Sponsored by Megaport Amazon Web Services
AWS Direct Connect and VPCs allow for a fully private and stable backhaul between your private assets and cloud services without the need for significant encryption, tunneling, or other methods. While these components can be created on the fly with an API, the network component itself cannot. Megaport demonstrates a method of creating the network components in tandem with your AWS components so that the full solution is created in a single API call to a group of endpoints.
Speaker: Matt Simpson, Network specialist, Megaport
Machine Learning Melee: AWS ML vs. Azure MLFrank La Vigne
The world is drowning in data and there’s a gold rush in the business of turning data into actionable insight. In one corner, stands AWS, a long time cloud services innovator, that wants to leverage its PaaS dominance to take it into the next decade. In the other corner, stands a scrappy re-invigorated Microsoft with a new focus on making the cloud smarter.
Both are feverishly working on creating compelling solutions for developers to build intelligent solutions upon. Is one better than the other? What are each one’s strengths and weaknesses?
And what does Google have up its sleeve?
Come to this session to get a first hand account of a former Microsoft evangelist now working at an AWS partner startup, who promises to keep it a good clean fight!
Esta sesión está enfocada en mostrar cómo las empresas pueden optimizar sus recursos a través de las soluciones basadas en la nube, poniendo foco en la diferenciación, la innovación y reducción de riesgos en la infraestructura.
Por Ricardo Rentería de Amazon
World's best AWS Cloud Log Analytics & Management ToolCloudlytics
Overview of Cloudlytics Features, Pricing Details, Offers to AWS Activate Customers, AWS Marketplace Info & A Sneak Preview of All the Analytics ( The Reports Section will be covered in Detail in our Next Presentation.)
AWS October Webinar Series - Introducing Amazon QuickSightAmazon Web Services
Amazon QuickSight is a very fast, cloud-powered business intelligence (BI) service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.
In this webinar, we will demonstrate how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes. We will also introduce SPICE, a new Super-fast, Parallel, In-memory, Calculation Engine in Amazon QuickSight, which performs advanced calculations and renders visualizations rapidly without requiring any additional infrastructure, SQL programming, or dimensional modeling, so you can seamlessly scale to hundreds of thousands of users. Lastly, you will see how Amazon QuickSight provides you with smart visualizations and graphs that are optimized for your different data types, to ensure the most suitable and appropriate visualization to conduct your analysis, and how to share these visualization stories using the built-in collaboration tools.
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty at Shoppertrak - J...AWS Chicago
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty, Director of Technology Operations at Shoppertrak
From the July 11 AWS user group event at Motorola Solutions
Analyzing and processing FInancial Market Data on AWS with Kinesis - AWS Pop ...Florian Benz
Processing real-time market data is an essential part of financial services companies operating on the stock market. This data comes in “big and fast” - thousands of ticks per second - requiring transformation for fast and efficient access by our apps and services as well as storage for compliance and research purposes. In this session, you will learn about Scalable Capital’s evaluation journey. How we ended up with a solution around Amazon Kinesis, and how we are processing and analyzing market data now. A combination of AWS services allowed us to build a solution that is scalable, efficient and tailored to our needs. A Fargate service receives market data and puts it into Kinesis. Lambda functions transform and store data in ElastiCache. From there, the data can either be accessed in an aggregated form or streamed to other services for further processing. Amazon Kinesis Data Firehose is used to store all data on Amazon S3.
Presented at the AWS Pop Up Loft Munich on November 14, 2019
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Cloud-native Semantic Layer on Data LakeDatabricks
With larger volume and more real-time data stored in data lake, it becomes more complex to manage these data and serve analytics and applications. With different service interfaces, data caliber, performance bias on different scenarios, the business users begin to suffer low confidence on quality and efficiency to get insight from data.
(BDT307) Zero Infrastructure, Real-Time Data Collection, and AnalyticsAmazon Web Services
Any fast-growing organization needs a way to manage the ever-increasing volume of data being generated across the globe and the need for real-time analysis. In this session, we walk through a real-life architecture and demonstration of how to leverage Amazon Kinesis, AWS Lambda, Amazon S3, and Amazon Redshift/Aurora for near real-time access to data being collected around the globe. We dive deep into performance, cost, and system resiliency and give you practical tools you can use today to manage your own global data ingestion pipeline and produce quality analytics in real-time without building infrastructure.
Code used for the demo in this session is available for download here: http://abrstevepermalink.s3.amazonaws.com/Demo.zip
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations.
We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Speaker:
Ian Massingham, AWS Technical Evangelist
Weathering the Data Storm – How SnapLogic and AWS Deliver Analytics in the Cl...SnapLogic
In this webinar, learn how SnapLogic and Amazon Web Services helped Earth Networks create a responsive, self-service cloud for data integration, preparation and analytics.
We also discuss how Earth Networks gained faster data insights using SnapLogic’s Amazon Redshift data integration and other connectors to quickly integrate, transfer and analyze data from multiple applications.
To learn more, visit: www.snaplogic.com/redshift
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current-generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
(BDT204) Rendering a Seamless Satellite Map of the World with AWS and NASA Da...Amazon Web Services
NASA imaging satellites deliver GB's of images to Earth every day. Mapbox uses AWS to process that data in real-time and build the most complete, seamless satellite map of the world. Learn how Mapbox uses Amazon S3 and Amazon SQS to stream data from NASA into clusters of EC2 instances running a clever algorithm that stiches images together in parallel. This session includes an in-depth discussion of high-volume storage with Amazon S3, cost-efficient data processing with Amazon EC2 Spot Instances, reliable job orchestration with Amazon SQS, and demand resilience with Auto Scaling.
Enabling Telco to Build and Run Modern Applications Tugdual Grall
See how new databases like MongoDB enable Telco Enterprises to Build and Run Modern Applications.
This presentations was delivered in Tel Aviv in Jan-2015 during a Telco round table organized by Matrix.
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current-generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Which Database is Right for My Workload?: Database Week San FranciscoAmazon Web Services
Database Week at the San Francisco Loft: Which Database is Right for My Workload?
Monday, August 27th
Managed Relational Databases on the Cloud
9:30AM–10:00AM
Check In
10:00AM–10:15AM
Database Services at AWS
Short overview of AWS Database and Analytics offerings and an overview of the day's topics.
Speaker: Bill Baldwin - Global Enterprise Support Lead, AWS
10:15AM-11:15AM
Relational Database Services at AWS
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Speakers:
Vishwajit Tigadi - Manager, Strategic Accounts, AWS
Bill Baldwin - Global Enterprise Support Lead, AWS
11:15AM-12:15PM
Hands-On Lab: Managed Database Basics
Hands-on Lab to set up and use RDS and Aurora. You’ll need a laptop with a Firefox or Chrome browser.
Speakers:
Vishwajit Tigadi - Manager, Strategic Accounts, AWS
Chris Holmes - Technical Account Manager, AWS
12:15PM-1:15PM
Lunch
1:15PM-1:45PM
Open Source Databases on the Cloud
Speaker: Miguel Cervantes - Associate Solutions Architect, AWS
1:45PM-2:15PM
Oracle and SQL Server on the Cloud
Speaker: Joyjeet Banerjee - Enterprise Solutions Architect, AWS
Speakers:
Miguel Cervantes - Associate Solutions Architect, AWS
Joyjeet Banerjee - Enterprise Solutions Architect, AWS
Which Database is Right for My Workload: Database Week SFAmazon Web Services
Database Week at the San Francisco Loft
Which Database is Right for My Workload?
Picking the right database based on imperfect data is challenging. Decades of traditional app development have conditioned us to put everything in a big box. In this session we will look at selecting the right database for the right job.
Level: 200
Speakers:
Joyjeet Banerjee - Enterprise Solutions Architect, AWS
Vishwajit Tigadi - Manager, Strategic Accounts, AWS
Picking the right database based on imperfect data is challenging. Decades of traditional app development have conditioned us to put everything in a big box. In this session we will look at selecting the right database for the right job.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Charles Hammell - Principal Enterprise Architect, AWS
AWS Snowball: Accelerating Large-Scale Data Ingest Into the AWS Cloud | AWS P...Amazon Web Services
Moving files over long distances, or terabyte and petabyte volumes of data into the cloud can be a sticking point for cloud migrations. Come learn how customers are using the latest Snowball to move large scale data stores to the cloud, while remaining compliant with existing regulations.
Building a Modern Data Warehouse: Deep Dive on Amazon Redshift - SRV337 - Chi...Amazon Web Services
In this chalk talk, we take a deep dive on Amazon Redshift architecture and the latest performance enhancements that give you faster insights into your data. We also cover Amazon Redshift Spectrum, a feature of Amazon Redshift that enables you to analyze data across Amazon Redshift and your Amazon S3 data lake to deliver unique insights not possible by analyzing independent data silos.
Similar to Evolving our Datastore - 2018-03-27 (20)
MLOps vs LLMOps (by workflows and use cases) - 2024-05-21Alessandra Bilardi
MLOps @ localhost 2024
A pragmatic approach to manage ML systems by workflows and use cases.
https://www.grusp.org/conferenze_/mlops-127-0-0-1-21-maggio-2024/
How to move your ML system from local to production - 2024-03-15Alessandra Bilardi
Incontro DevOps Italia 2024
When a Cloud Engineer has to do a review the code of its colleague Data Scientist for production environment, it is always important to understand where it is best to put the focus. Often, the best approach is to promote the resources awareness to be used and to find a framework to split the work together.
https://2024.incontrodevops.it/talks_speakers/
AWS User Group Padova event.
Which AWS services there are for forecasting scenarious ?
https://www.meetup.com/it-IT/aws-user-group-padova/events/298480058/
From your laptop to all resource that you need - 2023-12-09Alessandra Bilardi
PyData Impact Scholars - PyData Global 2023
Imagine you are processing your data and your ML system from your laptop and there are not enough resources, but by adding a few lines of code you can access all the resources you need. So, from your Jupyter notebook you can orchestrate tests of your code and then you can run the same code in the cloud with … a flag and little else.
https://github.com/bilardi/pydata-global/tree/master/2023
PyDataVE #13
Which open source libraries can compete with Pandas, PySpark with some activities as apply, groupby and sum ?
https://www.meetup.com/pydata-venice/events/296507635/
Automation: from local test to production deploy - 2020-11-05Alessandra Bilardi
CloudConf 2020 in Streaming
Talk about a sample of Automation Solution from local to production
https://2020.cloudconf.it/
https://github.com/bilardi/aws-saving/
https://github.com/bilardi/aws-simple-pipeline/
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.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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
2. 01
Who we are
• Pixartprinting S.p.A.
• Where: Quarto d’Altino, Venezia
• Type: Web2Print of Cimpress group
• Clients: 600.000
• Employees: 700
• Company surface: 35.000 MQ
• Work jobs in a day: 10.000
• Packages sent in 1 year: 3M
• Countries reached: +50
• Product combinations: 400
• Paper per year: 11.000 tons
• Ink per year: 98 tons
10. 2016 vs 2017
• EC2 + Percona Server
• Bottleneck of the datastore
• Unmanaged load
• Website not available
• Goal not reached
• Amazon Aurora MySQL
• Autoscaling of read replica
• Managed load
• Website available
• Goal reached: maximum sales in 1 day