NoSQL on AWS - Pop-up Loft Tel Aviv

•

0 likes•844 views

Using various NoSQL technologies on AWS, best practices and common pitfalls: What is NoSQL? NoSQL databases overview, sizing considerations, availability and disaster recovery, backup & retention.

Technology

NoSQL at Scale:
Architecture and Common Pitfalls
Arthur Gimpel
DataZone

About Me
• Working with databases for the past 8 years
• 5 years as SQL Server DBA & .NET
• 3 years with NoSQL, Python, Node.js
• 2015 - DataZone

DataZone
Data is our business
• High end consultancy & projects
• Private and public training
• Multi vendor MSP (Managed Service Provider)
• Part of Matrix, CloudZone Family
• Proud partners of:

All the wrong reasons..
• Web scale! web scale!
• Cost reduction
• Free school for developers

Expectations gone wild
• Stored procedures
• Jobs
• Triggers
• Mailing Servers
• Shell Commands

ODM != ORM
ORM
• Close the modelling
gaps
• Simple Standard
CRUD
ODM
• Typing the untyped
• Retries
• Transactions
• Events

Best Practices
• DynamoDB
• Streams: Change Data Capture
• Cross region replication & synchronisation
• Event driven development: Send your new user a
welcome email
• Polyglot Persistence: Initiate an ETL, update your
Elasticsearch index

Best Practices
• Elasticsearch
• AWS Plugin:
• Allow service discovery based on security groups
• Run snapshots & restore directly to/from s3
• Storage:
• In small clusters, use EBS.
• In large clusters, use instance store, if you have replication enabled.
• Leverage Watcher & AWS Lambda for anything!

Best Practices
• Couchbase
• XDCR:
• Make sure you use cross datacenter replication for multi
region deployments
• Use encrypted communication, especially on XDCR
• Sizing:
• All members must be identical
• Prefer Memory & IO Optimized for most deplyments

When Family Can Be Chosen
• Every engine has its ﬂavours - know your tradeoffs
• Splitting drives is good for on prem. EBS is different
• Scaling up & down is always X2
• Prefer linux AMI by AWS- always check for ofﬁcial
support

Eventually…
• Don’t work for technology. Make technology for
you. Chose your engines wisely
• Beware of your cluster’s distribution model - don’t
over-estimate elasticity
• Experimenting is easy: Change, Benchmark,
Analyse. Repeat.
• Run engine backups - not EBS snapshots

Thank You!
Arthur Gimpel
arthurgi@datazone.io

Viewers also liked

Elasticsearch in Production (London version)

foundsearch

Amazon QuickSight is a 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 session, we 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 also introduce SPICE - a new Super-fast, Parallel, In-memory, Calculation Engine in Amazon QuickSight, which performs advanced calculations and render visualizations rapidly without requiring any additional infrastructure, SQL programming, or dimensional modeling, so you can seamlessly scale to hundreds of thousands of users and petabytes of data. 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. Presented by: Matthew McClean, AWS Partner Solutions Architect, Amazon Web Services

Amazon QuickSight

Amazon Web Services

You know, for search. Querying 24 Billion Documents in 900ms

Jodok Batlogg

AWS Customer Presentation: Coca Cola Turkey migrates SAP ERP to AWS-SAPPHIRE ...

Amazon Web Services

The importance of search for modern applications is evident and nowadays it is higher than ever. A lot of projects use search forms as a primary interface for communication with a user. Though implementation of an intelligent search functionality is still a challenge and we need a good set of tools. In this presentation, I will talk through the high-level architecture and benefits of Elasticsearch with some examples. Aside from that, we will also take a look at its existing competitors, their similarities, and differences.

Search and analyze your data with elasticsearch

Anton Udovychenko

TCS: Leveraging AWS for SAP on Oracle implementations

Amazon Web Services

Elasticsearch Introduction to Data model, Search & Aggregations

Alaa Elhadba

Design Patterns for Distributed Non-Relational Databases

guestdfd1ec

AWS May 2016 Webinar Series - AWS Services Overview

Amazon Web Services

With Proquest Udini, we have created the worlds largest online article store, and aim to be the center for researchers all over the world. We connect to a 700M solr cluster for search, but have recently also implemented a search component with ElasticSearch. We will discuss how we did this, and how we want to use the 30M index for scientific citation recognition. We will highlight lessons learned in integrating ElasticSearch in our virtualized EC2 environments, and challenges aligning with our continuous deployment processes.

ElasticSearch in Production: lessons learned

BeyondTrees

1. 利用微服務架構建立雲端影音平台 (Building Media Platform by Microservices Architecture)

Amazon Web Services

Elasticsearch is a fully featured search engine used for real-time analytics, and Amazon Elasticsearch Service makes it easy to deploy Elasticsearch clusters on AWS. With Amazon ES, you can ingest and process billions of events per day, and explore the data using Kibana to discover patterns. In this session, we use Apache web logs as example and show you how to build an end-to-end analytics solution. First, we cover how to configure an Amazon ES cluster and ingest data into it using Amazon Kinesis Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data. Then we demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we dive deep into the Elasticsearch query DSL and review approaches for generating custom, ad-hoc reports.

AWS re:Invent 2016: Real-Time Data Exploration and Analytics with Amazon Elas...

Amazon Web Services

Elasticsearch has quickly become the leading open source technology for scaling search and building document services on. Many software providers have come to rely on it to serve the needs of high-performance, production applications. In this talk, we’ll go deep on lessons learned from three years in production scaling from a few shards to more than 100 spread across 100s of nodes on AWS--to serve real-time queries against 100s of millions of documents. Attendees will learn: * How to capacity plan for ES on AWS * How to scale and reshard on AWS with zero downtime * What AWS and ES metrics to collect and alert on * Tips on day to day ES operations Session sponsored by SignalFx.

AWS re:Invent 2016: How to Scale and Operate Elasticsearch on AWS (DEV307)

Amazon Web Services

Elasticsearch provides native integration with Apache Spark through ES-Hadoop. However, especially during development, it is at best cumbersome to have Elasticsearch running in a separate machine/instance. Leveraging Spark Cluster with Elasticsearch Inside it is possible to run an embedded instance of Elasticsearch in the driver node of a Spark Cluster. This opens up new opportunities to develop cutting-edge applications. One such application is Dataset Search. Oscar will give a demo of a Dataset Search Engine built on Spark Cluster with Elasticsearch Inside. Motivation is that once Elasticsearch is running on Spark it becomes possible and interesting to have the Elasticsearch in-memory instance join an (existing) Elasticsearch cluster. And this in turn enables indexing of Datasets that are processed as part of Data Pipelines running on Spark. Dataset Search and Data Management are R&D topics that should be of interest to Spark Summit East attendees who are looking for a way to organize their Data Lake and make it searchable.

Building a Dataset Search Engine with Spark and Elasticsearch: Spark Summit E...

Spark Summit

Elasticsearch in Zalando

Alaa Elhadba

Data modeling for Elasticsearch

Florian Hopf

Scaling massive elastic search clusters - Rafał Kuć - Sematext

Rafał Kuć

Viewers also liked (17)

Elasticsearch in Production (London version)

Amazon QuickSight

You know, for search. Querying 24 Billion Documents in 900ms

AWS Customer Presentation: Coca Cola Turkey migrates SAP ERP to AWS-SAPPHIRE ...

Search and analyze your data with elasticsearch

TCS: Leveraging AWS for SAP on Oracle implementations

Elasticsearch Introduction to Data model, Search & Aggregations

Design Patterns for Distributed Non-Relational Databases

AWS May 2016 Webinar Series - AWS Services Overview

ElasticSearch in Production: lessons learned

1. 利用微服務架構建立雲端影音平台 (Building Media Platform by Microservices Architecture)

AWS re:Invent 2016: Real-Time Data Exploration and Analytics with Amazon Elas...

AWS re:Invent 2016: How to Scale and Operate Elasticsearch on AWS (DEV307)

Building a Dataset Search Engine with Spark and Elasticsearch: Spark Summit E...

Elasticsearch in Zalando

Data modeling for Elasticsearch

Scaling massive elastic search clusters - Rafał Kuć - Sematext

More from Amazon Web Services

Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS. In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Amazon Web Services

La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup. Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti. Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.

Big Data per le Startup: come creare applicazioni Big Data in modalità Server...

Amazon Web Services

Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi

Esegui pod serverless con Amazon EKS e AWS Fargate

Amazon Web Services

Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.

Costruire Applicazioni Moderne con AWS

Amazon Web Services

L’utilizzo dei container è in continua crescita. Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili. I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!

Come spendere fino al 90% in meno con i container e le istanze spot

Amazon Web Services

In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th. Event Agenda : Open banking so far (short recap) • PSD2, OB UK, OB Australia, OB LATAM, OB Israel Intro to Open Finance marketplace • Scope • Features • Tech overview and Demo The role of the Cloud The Future of APIs • Complying with regulation • Monetizing data / APIs • Business models • Time to market One platform for all: a Strategic approach Q&A

Open banking as a service

Amazon Web Services

Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc. AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta. Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Amazon Web Services

Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity. AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet. Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Amazon Web Services

Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Amazon Web Services

Computer Vision con AWS

Amazon Web Services

Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti. Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.

Database Oracle e VMware Cloud on AWS i miti da sfatare

Amazon Web Services

Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti. Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire. Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito. In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Amazon Web Services

Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline. Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.

API moderne real-time per applicazioni mobili e web

Amazon Web Services

Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali. In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Amazon Web Services

Tools for building your MVP on AWS

Amazon Web Services

How to Build a Winning Pitch Deck

Amazon Web Services

Building a web application without servers

Amazon Web Services

Fundraising Essentials

Amazon Web Services

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Amazon Web Services

Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.

Introduzione a Amazon Elastic Container Service

Amazon Web Services

More from Amazon Web Services (20)

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...

Big Data per le Startup: come creare applicazioni Big Data in modalità Server...

Esegui pod serverless con Amazon EKS e AWS Fargate

Costruire Applicazioni Moderne con AWS

Come spendere fino al 90% in meno con i container e le istanze spot

Open banking as a service

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Computer Vision con AWS

Database Oracle e VMware Cloud on AWS i miti da sfatare

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

API moderne real-time per applicazioni mobili e web

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Tools for building your MVP on AWS

How to Build a Winning Pitch Deck

Building a web application without servers

Fundraising Essentials

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Introduzione a Amazon Elastic Container Service

Recently uploaded

Extensible Python: Robustness through Addition - PyCon 2024

Patrick Viafore

Overview of Hyperledger Foundation

Hyperleger Tokyo Meetup

Intro in Product Management - Коротко про професію продакт менеджера

Mark Opanasiuk

Vector Search @ sw2con for slideshare.pptx

jbellis

Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf

FIDO Alliance

The Metaverse: Are We There Yet?

Mark Billinghurst

In today's digital world, trust is key to customer relationships, but keeping it is a huge challenge. Customers are well-informed and empowered, quick to change brands if their trust is broken, even if it costs them more. This puts a lot of pressure on organizations to handle trust and safety issues with great care and transparency. The challenge, however, is real. Fragmented solutions have left privacy, legal, and security teams in a perpetual cycle of catch-up, struggling to update privacy notices, manage customer data rights, and answer lengthy security questionnaires—all while trying to prove ROI to the business. It's a thankless job, filled with repetition, tedious tasks, and constant interdepartmental coordination. Combine this with fast regulatory changes and the quick evolution of AI, and it becomes overwhelming. Join this webinar to learn more about TrustArc's new innovative solution Trust Center, the only unified, no-code online hub for trust and safety information built for privacy, security, compliance, and legal teams. Trust Center streamlines your path to compliance, shortens the pre-sales cycle, and reduces both legal and regulatory risks, saving time, effort, and cost. This webinar will review: - Why companies are building unified Trust Centers for a robust privacy program. - How unified Trust Centers streamline sales cycles, ensure regulatory compliance, and reduce operational bottlenecks. - How compliance, legal, security, GRC, and privacy teams benefit from a unified Trust Center in terms of needs, pains, and outcomes. - How TrustArc Trust Center saves time and work while reducing legal, reputational, and compliance risk by effectively managing policies, notices, terms, and disclosures, and providing real-time updates on subprocessors.

TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...

TrustArc

Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf

FIDO Alliance

Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations. We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures. Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless

How we scaled to 80K users by doing nothing!.pdf

Srushith Repakula

ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...

FIDO Alliance

Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...

FIDO Alliance

This our Twelfth semiannual report on the global Cryptocurrency mining industry. Bitcoin is the world’s largest special purpose supercomputer. And it is globally decentralized. Millions of nodes all run the same open-source code to secure the Bitcoin network, create value, and put new transactions onto the distributed ledger. The latest Top500 list has just been announced at the ISC 2024 conference in Hamburg, and once again the Frontier supercomputer with 1.2 Exaflops peak performance is number one on the list. If assigned to SHA-256 hashing, Frontier would provide only the equivalent hash rate of about three cabinets of the latest high-end Bitcoin mining systems, costing less than 0.1% of Frontier’s cost. Michael Saylor, Chairman of MicroStrategy, has pointed out that GPUs are two orders of magnitude slower than the 5-nanometer technology of custom ASICs used for Bitcoin mining today. He makes the point that the Bitcoin network is unassailable by all of the hyperscale computing resources combined in AWS, Google, and Microsoft Azure cloud data centers today.

TopCryptoSupers 12thReport OrionX May2024

Stephen Perrenod

Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

2024 May Patch Tuesday

Ivanti

Google I/O Extended 2024 Warsaw

GDSC PJATK

Webinar Recording: https://www.panagenda.com/webinars/alles-neu-macht-der-mai-wir-durchleuchten-den-verbesserten-notes-eigenschaftendialog/ Haben Sie sich schon einmal über den zu kleinen Eigenschaftendialog in Notes geärgert? Mussten Sie einen Agenten oder eine Aktion erstellen, um schnell mal ein Feld zu ändern? Haben Sie jedes mal endlos nach dem zu vergleichenden Feld gesucht, nachdem Sie ein neues Dokument ausgewählt haben? Wollten Sie das verdammte Ding einfach nur größer machen? Zum Glück gibt es dafür eine Lösung – und sie ist wahrscheinlich bereits installiert! Mit dem kostenlosen panagenda Document Properties (Pro) erhalten Sie den Eigenschaftendialog, den Sie schon immer haben wollten. Größer, anpassbar, und im Volltext durchsuchbar. Sehen Sie mehrere Dokumente gleichzeitig oder vergleichen Sie mit einem Diff-Viewer. Ändern Sie beliebige Felder und haben Sie endlich eine einfache Möglichkeit, Profildokumente für alle Benutzer zu verwalten. Entdecken Sie mit HCL Ambassador Marc Thomas, wie Document Properties Ihre Arbeit vereinfachen und Sie bei der täglichen Verwendung von Domino-Anwendungen unterstützen kann – im Client oder im Designer. Sie werden es nicht bereuen! Für Sie in diesem Webinar - Was Document Properties ist, welche Editionen es gibt und wo es in Notes und Domino Designer zu finden ist - Wie Sie nach einem beliebigen Feld suchen und es bearbeiten, Dokumente vergleichen oder alle Daten per CSV exportieren können - Suchen, Bearbeiten und auch Löschen von Profildokumenten - Welche Konfigurationseinstellungen verfügbar sind, um Funktionen anzupassen - Wie Ihre Endbenutzer davon profitieren - Sehen Sie alles in einer Live-Demo

Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...

panagenda

Event-Driven Architecture Masterclass: Challenges in Stream Processing

ScyllaDB

Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...

ScyllaDB

Design Guidelines for Passkeys 2024.pptx

FIDO Alliance

Ruby has a lot of standard libraries from Ruby 1.8. I promote them democratically with GitHub today via default and bundled gems. So, I'm working to extract them for Ruby 3.4 continuously and future versions. It's long journey for me. After that, some versions may suddenly happen LoadError at require when running bundle exec or bin/rails, for example matrix or net-smtp. We need to learn what's difference default/bundled gems with standard libraries. In this presentation, I will introduce what's the difficult to extract bundled gems from default gems and the details of the functionality that Ruby's require and bundle exec with default/bundled gems. You can learn how handle your issue about standard libraries.

Long journey of Ruby Standard library at RubyKaigi 2024

Hiroshi SHIBATA

Intro to Passkeys and the State of Passwordless.pptx

FIDO Alliance

Recently uploaded (20)

Extensible Python: Robustness through Addition - PyCon 2024

Overview of Hyperledger Foundation

Intro in Product Management - Коротко про професію продакт менеджера

Vector Search @ sw2con for slideshare.pptx

Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf

The Metaverse: Are We There Yet?

TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...

Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf

How we scaled to 80K users by doing nothing!.pdf

ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...

Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...

TopCryptoSupers 12thReport OrionX May2024

2024 May Patch Tuesday

Google I/O Extended 2024 Warsaw

Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...

Event-Driven Architecture Masterclass: Challenges in Stream Processing

Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...

Design Guidelines for Passkeys 2024.pptx

Long journey of Ruby Standard library at RubyKaigi 2024

Intro to Passkeys and the State of Passwordless.pptx

NoSQL on AWS - Pop-up Loft Tel Aviv

1. NoSQL at Scale: Architecture and Common Pitfalls Arthur Gimpel DataZone

2. About Me • Working with databases for the past 8 years • 5 years as SQL Server DBA & .NET • 3 years with NoSQL, Python, Node.js • 2015 - DataZone

3. DataZone Data is our business • High end consultancy & projects • Private and public training • Multi vendor MSP (Managed Service Provider) • Part of Matrix, CloudZone Family • Proud partners of:

4. NoSQL Why not?

5. All the wrong reasons.. • Web scale! web scale! • Cost reduction • Free school for developers

6. Common Pitfalls & Best Practices

7. Normalizing in the low cost storage era

8. Expectations gone wild • Stored procedures • Jobs • Triggers • Mailing Servers • Shell Commands

9. ODM != ORM ORM • Close the modelling gaps • Simple Standard CRUD ODM • Typing the untyped • Retries • Transactions • Events

10. Best Practices • DynamoDB • Streams: Change Data Capture • Cross region replication & synchronisation • Event driven development: Send your new user a welcome email • Polyglot Persistence: Initiate an ETL, update your Elasticsearch index

11. Best Practices • Elasticsearch • AWS Plugin: • Allow service discovery based on security groups • Run snapshots & restore directly to/from s3 • Storage: • In small clusters, use EBS. • In large clusters, use instance store, if you have replication enabled. • Leverage Watcher & AWS Lambda for anything!

12. Best Practices • Couchbase • XDCR: • Make sure you use cross datacenter replication for multi region deployments • Use encrypted communication, especially on XDCR • Sizing: • All members must be identical • Prefer Memory & IO Optimized for most deplyments

13. When Family Can Be Chosen • Every engine has its ﬂavours - know your tradeoffs • Splitting drives is good for on prem. EBS is different • Scaling up & down is always X2 • Prefer linux AMI by AWS- always check for ofﬁcial support

14. Eventually… • Don’t work for technology. Make technology for you. Chose your engines wisely • Beware of your cluster’s distribution model - don’t over-estimate elasticity • Experimenting is easy: Change, Benchmark, Analyse. Repeat. • Run engine backups - not EBS snapshots

15. Thank You! Arthur Gimpel arthurgi@datazone.io

NoSQL on AWS - Pop-up Loft Tel Aviv

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (17)

More from Amazon Web Services

More from Amazon Web Services (20)

Recently uploaded

Recently uploaded (20)

NoSQL on AWS - Pop-up Loft Tel Aviv