This document provides an overview and introduction to MongoDB Atlas, which is MongoDB's database as a service offering. Some key points:
- MongoDB Atlas allows users to run MongoDB in a fully managed, cloud-based environment without having to manage infrastructure themselves.
- It offers global availability across 14 AWS regions, high availability across availability zones, security by default, comprehensive monitoring, and managed backups.
- Using MongoDB Atlas reduces the total cost of ownership compared to self-managed deployments and accelerates time to value by removing the operational overhead of database management.
- Features include cross-region replication for disaster recovery, security isolation using VPC peering on AWS, encryption of data both in-flight and at-rest
Yipit is the largest daily deal aggregator in the US with 20 employees and 40+ servers hosted on AWS. It was built using Python, Django, Nginx, Gunicorn, Celery, MySQL, MongoDB, Redis and DynamoDB. AWS services currently used include S3, EC2, CloudWatch, CloudFront, RDS, ElastiCache, SQS, IAM, Route53 and DynamoDB. AWS provides benefits like speed of iteration, infrastructure as code, leveraging AWS expertise, and automation which helps Yipit as a startup. Yipit monitors its infrastructure using New Relic, Django Sentry, Papertrail, AppFirst and Stathat.
This document discusses how to build scalable and stable web applications using VME. It focuses on measures for scalability including using distributed databases like MongoDB, message queues for logic decoupling, and stateless microservices for frontends and backends. It also covers high availability through techniques like MongoDB replication, RabbitMQ HA, and web server clusters. Additionally, it outlines the importance of automation through testing, DevOps, and containers, as well as comprehensive monitoring of availability, performance, errors, and alerts.
Migrating Data Pipeline from MongoDB to CassandraDemi Ben-Ari
MongoDB is a great NoSQL database, it’s very flexible and easy to use,
but would it handle massive Read / Write throughput?
actually, what happens when you need to scale everything out and easily?
We will lay out the reasons and the steps of migrating our data pipeline to Apache Cassandra in a short period without having any prior knowledge.
We’ll list our lessons learned as well.
Bio:
Demi Ben-Ari, Sr. Data Engineer @Windward,
I have over 9 years of experience in building various systems both from the field of near real time applications and Big Data distributed systems.
Co-Organizer of the “Big Things” Big Data community:http://somebigthings.com/big-things-intro/
The document discusses using Golang for serverless applications. It introduces serverless computing and why Golang is a good choice. Benefits of Golang include its simplicity with only requiring a single binary output and no dependencies. The document demonstrates building a serverless REST API with Golang and AWS Lambda, and addresses enhancing Lambda with provisioned concurrency. It concludes with references for further information.
Retours d'expériences sur la conception et déploiement d'une architecture complétement multi-cloud pour la solution Omnicloud d'Astrachain (accompagnement par webofmars)
Slides présentées lors du devops DDAY du 18/11/2021
The document discusses using the Hyperloglog algorithm and Redis to approximately count unique items in a dataset in a space-efficient way. Some key points:
- Hyperloglog is an algorithm that estimates the size of a set in a space-efficient manner, sacrificing some accuracy.
- It provides a similar interface to a set but uses much less space (around 12kb) while maintaining the same time complexity.
- Redis implements Hyperloglog which allows approximating uniques across programming languages and persisting counts to the Redis key-value store in a space-efficient way.
This document provides an overview and introduction to MongoDB Atlas, which is MongoDB's database as a service offering. Some key points:
- MongoDB Atlas allows users to run MongoDB in a fully managed, cloud-based environment without having to manage infrastructure themselves.
- It offers global availability across 14 AWS regions, high availability across availability zones, security by default, comprehensive monitoring, and managed backups.
- Using MongoDB Atlas reduces the total cost of ownership compared to self-managed deployments and accelerates time to value by removing the operational overhead of database management.
- Features include cross-region replication for disaster recovery, security isolation using VPC peering on AWS, encryption of data both in-flight and at-rest
Yipit is the largest daily deal aggregator in the US with 20 employees and 40+ servers hosted on AWS. It was built using Python, Django, Nginx, Gunicorn, Celery, MySQL, MongoDB, Redis and DynamoDB. AWS services currently used include S3, EC2, CloudWatch, CloudFront, RDS, ElastiCache, SQS, IAM, Route53 and DynamoDB. AWS provides benefits like speed of iteration, infrastructure as code, leveraging AWS expertise, and automation which helps Yipit as a startup. Yipit monitors its infrastructure using New Relic, Django Sentry, Papertrail, AppFirst and Stathat.
This document discusses how to build scalable and stable web applications using VME. It focuses on measures for scalability including using distributed databases like MongoDB, message queues for logic decoupling, and stateless microservices for frontends and backends. It also covers high availability through techniques like MongoDB replication, RabbitMQ HA, and web server clusters. Additionally, it outlines the importance of automation through testing, DevOps, and containers, as well as comprehensive monitoring of availability, performance, errors, and alerts.
Migrating Data Pipeline from MongoDB to CassandraDemi Ben-Ari
MongoDB is a great NoSQL database, it’s very flexible and easy to use,
but would it handle massive Read / Write throughput?
actually, what happens when you need to scale everything out and easily?
We will lay out the reasons and the steps of migrating our data pipeline to Apache Cassandra in a short period without having any prior knowledge.
We’ll list our lessons learned as well.
Bio:
Demi Ben-Ari, Sr. Data Engineer @Windward,
I have over 9 years of experience in building various systems both from the field of near real time applications and Big Data distributed systems.
Co-Organizer of the “Big Things” Big Data community:http://somebigthings.com/big-things-intro/
The document discusses using Golang for serverless applications. It introduces serverless computing and why Golang is a good choice. Benefits of Golang include its simplicity with only requiring a single binary output and no dependencies. The document demonstrates building a serverless REST API with Golang and AWS Lambda, and addresses enhancing Lambda with provisioned concurrency. It concludes with references for further information.
Retours d'expériences sur la conception et déploiement d'une architecture complétement multi-cloud pour la solution Omnicloud d'Astrachain (accompagnement par webofmars)
Slides présentées lors du devops DDAY du 18/11/2021
The document discusses using the Hyperloglog algorithm and Redis to approximately count unique items in a dataset in a space-efficient way. Some key points:
- Hyperloglog is an algorithm that estimates the size of a set in a space-efficient manner, sacrificing some accuracy.
- It provides a similar interface to a set but uses much less space (around 12kb) while maintaining the same time complexity.
- Redis implements Hyperloglog which allows approximating uniques across programming languages and persisting counts to the Redis key-value store in a space-efficient way.
This document discusses the evolving container landscape and how applications are becoming cloud native. It outlines how companies are increasingly relying on technology and how software development has focused on continuous development, integration, and deployment. Open source adoption is growing as the default choice for developers. The document then examines the container technology stack from infrastructure to applications and services. It analyzes challenges around enterprise adoption and providing standard comparisons. Finally, it discusses how containers need to address security, storage, networking and other issues to become truly enterprise-grade.
This Knolx session discusses how stateless and stateful applications can be deployed over Kubernetes using Stateful Sets. In the demo, we see how requirements for stateful services could be met and how Cassandra, a stateful service could be started over Kubernetes
Netflix created and open sourced Dynomite project to provide reusable distributed database infrastructure that turns single server data stores into scalable, distributed databases. Dynomite supports pluggable protocols and pluggable storage engines, which allows us to add sharding and replication to a variety of non-distributed data stores. The entire database infrastructure can be reused across a variety of workloads from in-memory to on-disk, and across APIs from key/value to document databases. Dynomite allows application developers to choose the API that best fits their requirements, while DevOps can select the best operation database based on the workload. Dynomite is used by Netflix to handle millions of OPS in production leveraging Redis and RocksDB. In this talk, we are going to show how we achieved high availability by being able to terminate any Dynomite node without client side downtime, best practices and the challenges in deploying Dynomite in production.
A simple traditional web application consists of a web server, web client and an optional database. A traditional software developer needs to be aware of the server in which his code runs, because it has to be created, scaled, and maintained. If it goes down at the most critical time, it could result in drastic consequences.
When a single application is deployed in a server, there will be lot of unused resources. For example, if a developer deploys a Storm cluster which uses CPU heavily for computation, there will be less use of the hard disk. These servers are not custom made for our applications so there will be resource wastages. The concept of a Serverless Architecture came up as a solution to overcome this problem and a lot of other issues coupled with physical servers. In this Innovation Session, Danula Eranjith, Malinga Perera and Shehan Perera from the Data and Analytics team discuss the Serverless Architecture concept, and how it can be implemented using AWS technologies.
Containers seem to have suddenly become the hot new thing everyone is talking about, but what are they?
Why are they important?
How should you use them and what does it mean for cloud infrastructure? This talk will examine the history, technical details and strategy around containerisation from the perspective of developers and operations, consider internal container OSs like Rocket and Ubuntu Core as well as management layers like Docker and Apache Mesos and take a look at why cloud providers are launching their own services around them.
Presented by David Mytton at Datacloud Monaco 2015-06-04
This document provides an overview of cloud native storage. It discusses how storage is a key component of cloud native reference architectures and how container-based applications require persistent storage volumes. It introduces the concept of out-of-tree storage plugins that allow various storage platforms to integrate with container orchestrators. The document also outlines common cloud native storage patterns, such as giving containers persistent volumes, and how this enables portability across infrastructure providers. Finally, it provides examples of how storage classes, persistent volumes, and persistent volume claims can be used to provision storage for pods running in containers.
This document lists various database technologies that can be integrated with Travis CI such as MySQL, PostgreSQL, MongoDB, CouchDB, Redis, Riak, RabbitMQ, Memcached, Cassandra, Neo4J, ElasticSearch, Kestrel, and SQLite3. It also mentions configuring integrations using a .travis.yml file and gaining profits from such integrations.
Loadbalancers: The fabric for your micro servicesChiradeep Vittal
The document discusses the importance of load balancers for microservices and container-based architectures. It covers how load balancing needs have evolved from traditional monolithic applications to modern approaches that support dynamic microservices topologies, zero-downtime deployments, client-side load balancing, and advanced patterns like circuit breakers. It also introduces NetScaler CPX as a cloud-native load balancer solution for container environments.
Containers aren't just for stateless apps. You might have mission-critical stateful applications like MySQL, Kafka, or Cassandra databases that you want to run in containers as well. Sahil Sawhney gave an overview on how both; stateless and stateful services could be deployed over Kubernetes with ease thus reducing the service management efforts and making the scaling more manageable.
This pdf walks you through, the application of Stateful Sets and Operators and how they work internally to ensure state maintenance over the K8 cluster
This document provides an introduction to Node.js, including:
- Node.js allows JavaScript to be run on the server-side using the V8 JavaScript engine.
- It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient.
- Node.js supports module-driven development through NPM, which has over 250,000 packages available.
This document outlines an agenda for a presentation on Azure networking. The presentation will cover topics such as virtual network fundamentals, virtual networks in Azure, IP addressing, DNS resolution, load balancing and availability, site-to-site and point-to-site VPN connectivity, and Traffic Manager and Express Route. It will also include demonstrations of point-to-site VPN connectivity in Azure. The presentation is aimed at connecting people and enabling connectivity everywhere using Azure networking services.
The document discusses the MEAN stack, which is used to build RESTful services and web applications. It consists of MongoDB for data storage, Express for building the web application, AngularJS for the front-end, and Node.js as the runtime environment. The document compares MEAN to LAMP and explains why MEAN is better suited for building RESTful APIs and web applications with its use of a single programming language and ability to directly work with JSON data without translation.
This document provides an introduction to cloud computing, including what cloud is, its benefits and drawbacks, common cloud service models (SaaS, PaaS, IaaS), major cloud providers, and common cloud computing services. Key cloud computing services discussed include compute services (like AWS EC2 and Google Compute Engine), databases, storage, and additional AI/ML and serverless services. The document also highlights some free cloud credits and resources available for students.
BRIEF HISTORY OF DATA PROCESSING
RELATIONAL (SQL) VS. NONRELATIONAL (NOSQL)
Why noSQL?
ACID VS CAP
DynamoDB- what is it?
DynamoDB ARCHITECTURE
Conditional Writes
Provisioned throughput
QUERY VS SCAN
Operations
Benefits
Limitations
DEMO
These are the slides of the second talk of the second Tech Talk@TransferWise Singapore, which happened on the 1st of March 2018.
We take a look at what Serverless Computing is, find out what we can do with Amazon Web Services Lambda and when it can be useful. We also explore how it has evolved for the past 3 years and learn about its remaining limitations.
This document summarizes a meetup on Node.js hosted by Farsheed Atef and Eddy Kim and sponsored by Drumbi. The meetup covered an introduction to Node.js including what it is, why it is useful, its benefits, and its event-driven and asynchronous architecture. It discussed Node.js' use of JavaScript and modularity. An overview of resources and hands-on examples were also provided.
Node.js is an open source JavaScript runtime built on Chrome's V8 JavaScript engine. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient for data-intensive real-time applications that run across distributed devices. Some key uses of Node.js include building mobile apps, real-time applications like chat rooms, and IOT applications due to its asynchronous nature and ability to handle high volumes of simultaneous connections with low latency.
Codemotion Amsterdam 2016 - Building microservices with Vert.xBert Jan Schrijver
This document summarizes a presentation about building microservices with Vert.x. Vert.x is a toolkit for building reactive applications on the JVM that is event-driven, non-blocking, and polyglot. It allows for building microservices that are small, independently deployable services that communicate through lightweight messaging. The presentation discusses Vert.x concepts like verticles, the event bus, and its reactive nature. It also describes the speaker's experience using Vert.x at Malmberg over three years, including challenges faced and solutions used. Resources for learning more about Vert.x are provided at the end.
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
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.
This document discusses the evolving container landscape and how applications are becoming cloud native. It outlines how companies are increasingly relying on technology and how software development has focused on continuous development, integration, and deployment. Open source adoption is growing as the default choice for developers. The document then examines the container technology stack from infrastructure to applications and services. It analyzes challenges around enterprise adoption and providing standard comparisons. Finally, it discusses how containers need to address security, storage, networking and other issues to become truly enterprise-grade.
This Knolx session discusses how stateless and stateful applications can be deployed over Kubernetes using Stateful Sets. In the demo, we see how requirements for stateful services could be met and how Cassandra, a stateful service could be started over Kubernetes
Netflix created and open sourced Dynomite project to provide reusable distributed database infrastructure that turns single server data stores into scalable, distributed databases. Dynomite supports pluggable protocols and pluggable storage engines, which allows us to add sharding and replication to a variety of non-distributed data stores. The entire database infrastructure can be reused across a variety of workloads from in-memory to on-disk, and across APIs from key/value to document databases. Dynomite allows application developers to choose the API that best fits their requirements, while DevOps can select the best operation database based on the workload. Dynomite is used by Netflix to handle millions of OPS in production leveraging Redis and RocksDB. In this talk, we are going to show how we achieved high availability by being able to terminate any Dynomite node without client side downtime, best practices and the challenges in deploying Dynomite in production.
A simple traditional web application consists of a web server, web client and an optional database. A traditional software developer needs to be aware of the server in which his code runs, because it has to be created, scaled, and maintained. If it goes down at the most critical time, it could result in drastic consequences.
When a single application is deployed in a server, there will be lot of unused resources. For example, if a developer deploys a Storm cluster which uses CPU heavily for computation, there will be less use of the hard disk. These servers are not custom made for our applications so there will be resource wastages. The concept of a Serverless Architecture came up as a solution to overcome this problem and a lot of other issues coupled with physical servers. In this Innovation Session, Danula Eranjith, Malinga Perera and Shehan Perera from the Data and Analytics team discuss the Serverless Architecture concept, and how it can be implemented using AWS technologies.
Containers seem to have suddenly become the hot new thing everyone is talking about, but what are they?
Why are they important?
How should you use them and what does it mean for cloud infrastructure? This talk will examine the history, technical details and strategy around containerisation from the perspective of developers and operations, consider internal container OSs like Rocket and Ubuntu Core as well as management layers like Docker and Apache Mesos and take a look at why cloud providers are launching their own services around them.
Presented by David Mytton at Datacloud Monaco 2015-06-04
This document provides an overview of cloud native storage. It discusses how storage is a key component of cloud native reference architectures and how container-based applications require persistent storage volumes. It introduces the concept of out-of-tree storage plugins that allow various storage platforms to integrate with container orchestrators. The document also outlines common cloud native storage patterns, such as giving containers persistent volumes, and how this enables portability across infrastructure providers. Finally, it provides examples of how storage classes, persistent volumes, and persistent volume claims can be used to provision storage for pods running in containers.
This document lists various database technologies that can be integrated with Travis CI such as MySQL, PostgreSQL, MongoDB, CouchDB, Redis, Riak, RabbitMQ, Memcached, Cassandra, Neo4J, ElasticSearch, Kestrel, and SQLite3. It also mentions configuring integrations using a .travis.yml file and gaining profits from such integrations.
Loadbalancers: The fabric for your micro servicesChiradeep Vittal
The document discusses the importance of load balancers for microservices and container-based architectures. It covers how load balancing needs have evolved from traditional monolithic applications to modern approaches that support dynamic microservices topologies, zero-downtime deployments, client-side load balancing, and advanced patterns like circuit breakers. It also introduces NetScaler CPX as a cloud-native load balancer solution for container environments.
Containers aren't just for stateless apps. You might have mission-critical stateful applications like MySQL, Kafka, or Cassandra databases that you want to run in containers as well. Sahil Sawhney gave an overview on how both; stateless and stateful services could be deployed over Kubernetes with ease thus reducing the service management efforts and making the scaling more manageable.
This pdf walks you through, the application of Stateful Sets and Operators and how they work internally to ensure state maintenance over the K8 cluster
This document provides an introduction to Node.js, including:
- Node.js allows JavaScript to be run on the server-side using the V8 JavaScript engine.
- It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient.
- Node.js supports module-driven development through NPM, which has over 250,000 packages available.
This document outlines an agenda for a presentation on Azure networking. The presentation will cover topics such as virtual network fundamentals, virtual networks in Azure, IP addressing, DNS resolution, load balancing and availability, site-to-site and point-to-site VPN connectivity, and Traffic Manager and Express Route. It will also include demonstrations of point-to-site VPN connectivity in Azure. The presentation is aimed at connecting people and enabling connectivity everywhere using Azure networking services.
The document discusses the MEAN stack, which is used to build RESTful services and web applications. It consists of MongoDB for data storage, Express for building the web application, AngularJS for the front-end, and Node.js as the runtime environment. The document compares MEAN to LAMP and explains why MEAN is better suited for building RESTful APIs and web applications with its use of a single programming language and ability to directly work with JSON data without translation.
This document provides an introduction to cloud computing, including what cloud is, its benefits and drawbacks, common cloud service models (SaaS, PaaS, IaaS), major cloud providers, and common cloud computing services. Key cloud computing services discussed include compute services (like AWS EC2 and Google Compute Engine), databases, storage, and additional AI/ML and serverless services. The document also highlights some free cloud credits and resources available for students.
BRIEF HISTORY OF DATA PROCESSING
RELATIONAL (SQL) VS. NONRELATIONAL (NOSQL)
Why noSQL?
ACID VS CAP
DynamoDB- what is it?
DynamoDB ARCHITECTURE
Conditional Writes
Provisioned throughput
QUERY VS SCAN
Operations
Benefits
Limitations
DEMO
These are the slides of the second talk of the second Tech Talk@TransferWise Singapore, which happened on the 1st of March 2018.
We take a look at what Serverless Computing is, find out what we can do with Amazon Web Services Lambda and when it can be useful. We also explore how it has evolved for the past 3 years and learn about its remaining limitations.
This document summarizes a meetup on Node.js hosted by Farsheed Atef and Eddy Kim and sponsored by Drumbi. The meetup covered an introduction to Node.js including what it is, why it is useful, its benefits, and its event-driven and asynchronous architecture. It discussed Node.js' use of JavaScript and modularity. An overview of resources and hands-on examples were also provided.
Node.js is an open source JavaScript runtime built on Chrome's V8 JavaScript engine. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient for data-intensive real-time applications that run across distributed devices. Some key uses of Node.js include building mobile apps, real-time applications like chat rooms, and IOT applications due to its asynchronous nature and ability to handle high volumes of simultaneous connections with low latency.
Codemotion Amsterdam 2016 - Building microservices with Vert.xBert Jan Schrijver
This document summarizes a presentation about building microservices with Vert.x. Vert.x is a toolkit for building reactive applications on the JVM that is event-driven, non-blocking, and polyglot. It allows for building microservices that are small, independently deployable services that communicate through lightweight messaging. The presentation discusses Vert.x concepts like verticles, the event bus, and its reactive nature. It also describes the speaker's experience using Vert.x at Malmberg over three years, including challenges faced and solutions used. Resources for learning more about Vert.x are provided at the end.
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
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.
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.
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 document provides an overview of cloud architecture and best practices for deploying applications in the AWS cloud. It begins with an introduction to key AWS services like EC2, ELB, RDS, and Auto Scaling. It then walks through creating a basic cloud deployment and improving it by separating concerns, adding redundancy, caching, and autoscaling. Finally, it discusses a real-world example using services like Kinesis and deploying containers with ECS.
Kubernetes is awesome! But what does it takes for a Java developer to design, implement and run Cloud Native applications? In this session, we will look at Kubernetes from a user point of view and demonstrate how to consume it effectively. We will discover which concerns Kubernetes addresses and how it helps to develop highly scalable and resilient Java applications.
FOSDEM TALK: https://fosdem.org/2017/schedule/event/cnjavadev/
Study Notes - Architecting for the cloud (AWS Best Practices, Feb 2016)Rick Hwang
The document discusses AWS best practices for cloud architecture. Some key points include:
- Design principles for scalability, disposable resources, loose coupling, automation, services over servers, databases, and removing single points of failure.
- Techniques like scaling vertically and horizontally, stateless applications, infrastructure as code, and automation.
- Other topics covered are databases, security, cost optimization, and references for further reading.
The document provides an overview of architectural approaches and strategies for building systems on AWS following best practices for scalability, reliability, and other cloud-native principles.
Serverless/Frugal Architecture describes the benefits of serverless computing including continuous scaling, developer productivity, and fully managed operations. It discusses AWS Lambda's programming model of handlers, contexts, events, and asynchronous exceptions. Lambda supports various languages and has resource limits. Serverless computing is gaining adoption with Amazon Lambda as the pioneer, and other cloud providers like IBM, Microsoft, and Google developing their own serverless offerings. Challenges of serverless include testing, state management, and lack of observability. Open source projects are also emerging in this space like OpenWhisk.
Apache Cassandra Lunch #64: Cassandra for .NET DevelopersAnant Corporation
In Cassandra Lunch #64: Cassandra for .NET Developers, Co-founder, Customer Experience Architect, and Sitecore MVP of Anant, Eric Ramseur will be presenting on Cassandra for .NET developers.
Accompanying Blog: Coming Soon!
Accompanying YouTube: https://youtu.be/9DwnDGak6Yo
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
Clusternaut: Orchestrating Percona XtraDB Cluster with Kubernetes.Raghavendra Prabhu
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/
Apache cassandra lunch #82 instaclustr managed cassandra and next.jsAnant Corporation
In Cassandra Lunch #82, we will discuss how to set up a Instaclustr managed Cassandra on Next.js
Accompanying Blog: https://blog.anant.us/apache-cassandra-lunch-82-instaclustr-managed-cassandra-and-next-js
Accompanying YouTube Video: https://www.youtube.com/watch?v=3UfyXEt4djg
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
Apache Cassandra Lunch #82: Instaclustr Managed Cassandra and Next.jsAnant Corporation
In Cassandra Lunch #82, we will discuss how to set up a Instaclustr managed Cassandra on Next.js
Accompanying YouTube: Coming Soon!
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
The document discusses the NoSQL ecosystem. It provides a brief history of NoSQL databases from the late 1990s to today. It then lists and categorizes the major NoSQL databases. The rest of the document discusses interesting properties of NoSQL databases like data models, query models, transactions, and consistency. It also provides examples of real-world usage at companies like Netflix, Facebook, and Craigslist. Key takeaways are around developer accessibility, reuse of NoSQL components, and using the right tool for the job (polyglot persistence).
The document discusses provisioning and how the pkgcloud package can help with provisioning for the cloud. Pkgcloud is a multi-cloud provisioning package for node.js that provides a single convention for working with multiple cloud providers and abstracts out the peculiarities of individual provider APIs. Rackspace is involved with pkgcloud because it aims to engage with existing open source communities rather than fragment them and already has committers on other open source cloud libraries.
Learn the current state of the NoSQL landscape and discover the different data models within it. From document stores and key value databases to graph and Wide Column. Then you’ll learn why wide column databases are the most appropriate for scalable high performance use cases, including capabilities for massive scale-out architecture, peer-to-peer clustering to avoid bottlenecking and built-in multi-datacenter replication.
Apache Cassandra Lunch #93: K8ssandra on Digital OceanAnant Corporation
In Cassandra Lunch #93, we will discuss how to use k8ssandra on Digital Ocean
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The database world is undergoing a major upheaval. NoSQL databases such as MongoDB and Cassandra are emerging as a compelling choice for many applications. They can simplify the persistence of complex data models and offering significantly better scalability and performance. But these databases have a very different and unfamiliar data model and APIs as well as a limited transaction model. Moreover, the relational world is fighting back with so-called NewSQL databases such as VoltDB, which by using a radically different architecture offers high scalability and performance as well as the familiar relational model and ACID transactions. Sounds great but unlike the traditional relational database you can't use JDBC and must partition your data.
In this presentation you will learn about popular NoSQL databases - MongoDB, and Cassandra - as well at VoltDB. We will compare and contrast each database's data model and Java API using NoSQL and NewSQL versions of a use case from the book POJOs in Action. We will learn about the benefits and drawbacks of using NoSQL and NewSQL databases.
Apache Cassandra is a highly scalable, multi-datacenter database that provides massive scalability, high performance, reliability and availability without single points of failure. It is operations and developer friendly with simple design, exposed metrics, and tools like OpsCenter and DevCenter. Cassandra is used by many large companies including Netflix to store film metadata and user ratings, La Poste to store parcel distribution metadata, and Spotify to store over 1 billion playlists.
Similar to Cassandra in Docker at Yelp: Opportunities and Challenges (20)
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.
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/
Talk given on state of NUMA with Java databases such as Cassandra and how it can improved / ameliorated, and compared with traditional storage engines.
Clusternaut: Orchestrating Percona XtraDB Cluster with KubernetesRaghavendra Prabhu
Raghavendra Prabhu presented on orchestrating Percona XtraDB Cluster (PXC) with Kubernetes. Some key points:
- Kubernetes provides horizontal scaling, self-healing, automated rollouts/rollbacks, service discovery, storage orchestration and more.
- In Kubernetes, PXC nodes would be deployed as pods with a replication controller to maintain a set number of pods. Services provide load balancing to the pods.
- Demonstrated deploying a basic PXC cluster on Kubernetes, including creating a network, cluster, service, replicating pods from a template, and exposing ports.
- Challenges include load balancing for state transfers between nodes and ensuring nodes are
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
The document discusses various factors to consider for effective documentation of open source projects. It emphasizes that lucid documentation can help with rapid community growth, attracting more contributors, enhancing code quality, and aiding bug fixes. Conversely, poor documentation can repel users, lead to less understood code, slow project growth, and cause spurious bug reports. Some highlighted factors include keeping documentation up-to-date, using version control, integrating feedback, examples to aid learning, and considering different user types like end users, developers and architects.
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
The document discusses running virtualized Galera instances for high availability and discusses how Galera and virtualization can work together. It covers how Galera works with synchronous replication, popular virtualization solutions like KVM and containers, deploying Galera in virtualized environments including initialization, operations, storage, and networking considerations, and concludes by taking questions.
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
Percona XtraDB Cluster before every release: Glimpse into CI testingRaghavendra Prabhu
This document discusses the continuous integration testing process used by Percona for releases of Percona XtraDB Cluster (PXC). It describes how Jenkins is used to automatically run a suite of tests on multiple platforms after every code change, including unit, performance, replication, and end-to-end clustering tests. These automated tests help find bugs early and ensure PXC works as intended as a clustered database system before each release. The document also outlines areas for further improving the testing approach over time.
This document discusses MySQL memory usage and provides recommendations for optimizing memory performance. It covers MySQL buffers and storage engines, operating system tools and configurations, solutions for memory issues, examples of analyzing memory usage, and future directions for MySQL memory improvements.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
4. ● About Cassandra
● Cassandra at Yelp
● Docker at Yelp
● Opportunities in Dockerization
● Challenges
● Conclusion
Overview
5.
6. ● Distributed wide-column NoSQL datastore
● Written in Java
● Multi data center
● Tunable consistency
● Write-friendly: LSM than B-tree
● Cloud-aware: gossip, failure detection, snitching, handoffs
Cassandra
7. ● Both primary and derived data
● Deployed on AWS EC2: m5.*
● EBS for storage
● Automated schema management
● Backups into S3
● Custom node discovery with Smartstack
● Managed with Taskerman
Cassandra @
9. ● Yelp PaaSTA: Containers on Mesos
● Few thousand microservices deployed and growing
○ Our website runs on this!
● Hundreds of deployments every day
● Why PaaSTA:
○ Clusterman
○ Spot fleet
● Kubernetes for stateful services
/
26. ● Taskerman: A Distributed Cluster Task Manager
● How Yelp Autoscales Mesos + Marathon on AWS Spot Fleet
● Getting the Most Out of Your Mesos
● Autoscaling Mesos Clusters with Clusterman
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