DynomiteDB - No spof High-availability Redis cluster solution
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DynomiteDB is a high performance Dynamo layer that adds data replication and sharding to Redis and other single-server storage engines, plus the ability to scale linearly, high availability via a shared nothing architecture with no single point of failure (SPOF), and support for 1000+ node clusters that span multiple data centers.
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Latency and Consistency Tradeoffs in Modern Distributed Databases
Scylla Summit 2022: Operating at Monstrous Scales: Benchmarking Petabyte Work...
Scylla Summit 2022: Operating at Monstrous Scales: Benchmarking Petabyte Work...
Pros and Cons of Erasure Coding & Replication vs. RAID in Next-Gen Storage
Pros and Cons of Erasure Coding & Replication vs. RAID in Next-Gen Storage
RedisConf18 - Re-architecting Redis-on-Flash with Intel 3DX Point™ Memory
RedisConf18 - Re-architecting Redis-on-Flash with Intel 3DX Point™ Memory
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VMworld 2015: The Future of Software- Defined Storage- What Does it Look Like...
The document discusses the future of software-defined storage in 3 years. It predicts that storage media will continue to advance with higher capacities and lower latencies using technologies like 3D NAND and NVDIMMs. Networking and interconnects like NVMe over Fabrics will allow disaggregated storage resources to be pooled and shared across servers. Software-defined storage platforms will evolve to provide common services for distributed data platforms beyond just block storage, with advanced data placement and policy controls to optimize different workloads.
End of RAID as we know it with Ceph Replication
Our VP of Engineering Mark Kampe explores the technical and financial advantages of Ceph replication over RAID.
Red hat storage el almacenamiento disruptivo
Red Hat Storage provides a scalable, reliable, and cost-effective open source storage solution based on technologies like Red Hat Enterprise Linux, GlusterFS, and XFS. It can consolidate file, object, and cloud storage across on-premise, private cloud, and public cloud deployments. Red Hat Storage addresses challenges with traditional storage systems for unstructured data like storage silos, unpredictable costs, and scaling limitations. It offers benefits like standardization, lower costs, and the ability to deploy storage anywhere.
RedisConf17 - Redis Enterprise: Continuous Availability, Unlimited Scaling, S...
RedisEnterprise provides continuous availability, unlimited scaling, security and cost-effective Redis capabilities. It offers Redis Enterprise Cloud on hosted resources within major clouds, and Redis Enterprise Pack software for on-premises use. Redis Enterprise uses a shared-nothing cluster architecture for high performance and availability, with instant recovery from various outage types like node failures. It can scale out easily and automatically by adding nodes. Redis Enterprise also offers flash memory support for lower costs, security features like role-based access control and encryption, and extensibility through modules. It aims to simplify compliance, automation, and multi-tenancy management across infrastructure types.
Presentacion redislabs-ihub
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Introduction to Redis
Redis is an open source, in-memory data structure store that can be used as a database, cache, or message broker. It supports data structures like strings, hashes, lists, sets, sorted sets with ranges and pagination. Redis provides high performance due to its in-memory storage and support for different persistence options like snapshots and append-only files. It uses client/server architecture and supports master-slave replication, partitioning, and failover. Redis is useful for caching, queues, and other transient or non-critical data.
Azure DocumentDB Overview
DocumentDB is a fast, globally distributed, multi-model NoSQL database service. It provides automatic scaling of storage and throughput, high availability across regions, flexible data models, and developer productivity with support for SQL and JavaScript queries. Customers can use DocumentDB for building scalable applications that need to handle large volumes of data across any number of regions worldwide with low latency and high availability.
Running Production CDC Ingestion Pipelines With Balaji Varadarajan and Pritam...
Running Production CDC Ingestion Pipelines With Balaji Varadarajan and Pritam K Dey | Current 2022
Robinhood’s mission is to democratize finance for all. Data driven decision making is key to achieving this goal. Data needed are hosted in various OLTP databases. Replicating this data near real time in a reliable fashion to data lakehouse powers many critical use cases for the company. In Robinhood, CDC is not only used for ingestion to data-lake but is also being adopted for inter-system message exchanges between different online micro services. .
In this talk, we will describe the evolution of change data capture based ingestion in Robinhood not only in terms of the scale of data stored and queries made, but also the use cases that it supports. We will go in-depth into the CDC architecture built around our Kafka ecosystem using open source system Debezium and Apache Hudi. We will cover online inter-system message exchange use-cases along with our experience running this service at scale in Robinhood along with lessons learned.
Redis meetup
The document provides an overview of Redis, including:
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- Major companies like Twitter, GitHub, and Pinterest use Redis for its speed and support for complex data types.
- Redis can be deployed in standalone, master-slave, or cluster topologies to provide redundancy, scaling, and automatic failover. Persistence to disk can be configured using snapshots or append-only files.
- Redis offers advantages over other databases and caching solutions in terms of performance, data types, scalability, and availability. It has a simple
Cost Savings at High Performance with Redis Labs and AWS
High performance Redis is popular among developers for its incredible performance, versatility and simplicity. The powerful combination of low cost memory and high performance Redis brings to life new next generation analytic uses - such as simultaneous real time transaction and analytics processing. With Redis Labs' RLEC Flash on AWS SSD instances, you can get fantastic performance at up to 70% lower costs. Join this session to learn how next generation Flash from leading memory provider Intel has made significant strides in performance while retaining its cost advantage to memory. Using a combination of AWS' powerful SSD instances, and Redis Labs' RLEC Flash, you can achieve up to 3M ops/sec at sub millisecond latencies, with a combination of RAM and Flash. The session will also feature customer use cases from a large university, a large customer engagement company and a pioneer of online Flash sales. Session sponsored by Redis Labs.
What's new with enterprise Redis - Leena Joshi, Redis Labs
Redis Labs manages over 160k+ HA databases, 10k clustered databases, without data loss in spite of one node failure a day and one data center outage per month. Using Enterprise
Redis(RLEC), Redis Labs delivers seamless zero downtime scaling, true high availability with persistence, cross-rack/zone/
datacenter replication and instant automatic failover. Learn how. Join this session for a deep dive into how enterprise Redis makes for no-hassle Redis deployments and the roadmap for new Redis capabilities. Discover new cost savings with Redis on Flash for cost-effective high performance operations and analytics
Redis
Redis is a fast, in-memory key-value database that supports data types like strings, lists, sets and hashes. It features publish-subscribe capabilities, transactions, replication, persistence and partitioning. It is open source and offers clients for many programming languages. Major companies like GitHub, Twitter, Pinterest, and others use Redis for caching, pub/sub messaging and more due to its speed and feature set.
NoSQL – Data Center Centric Application Enablement
The growth of Datacenter infrastructure is trending out of bounds, along with the pace in user activity and data generation in this digital era. However, the nature of the typical application deployment within the data center is changing to accommodate new business needs. Those changes introduce complexities in application deployment architecture and design, which cascade into requirements for a new generation of database technology (NoSQL) destined to ease that complexity. This webcast will discuss the modern data centers data centric application, the complexities that must be dealt with and common architectures found to describe and prescribe new data center aware services. Well look at the practical issues in implementation and overview current state of art in NoSQL database technology solving the problems of data center awareness in application development.
Reliable Storage for High Availability, Disaster Recovery, Clouds and Contain...
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Disaggregated Container Attached Storage - Yet Another Topology with What Pur...
The storage topology in vogue seems to cycle every few years. Internal storage is followed by centralized Storage Area Networks only to be superseded by one-size-fits-all Hyperconverged models - until scalability constraints led to distributed storage. Then comes NVMe, offering blistering speeds that all of these storage stacks struggle with. Kubernetes inspires Container Attached Storage aspiring to be the perfect model, so why is disaggregated storage now making an appearance?
This talk considers the motivations behind yet another storage topology and examines a modern, flexible architecture for delivering high-performance storage under Kubernetes.
This talk was given by Nick Connolly for DoK Day Europe @ KubeCon 2022.
Disaggregated Container Attached Storage - Yet Another Topology with What Pur...
Link: https://youtu.be/YhktX1W0geM
https://go.dok.community/slack
https://dok.community/
From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)
The storage topology in vogue seems to cycle every few years. Internal storage is followed by centralized Storage Area Networks only to be superseded by one-size-fits-all Hyperconverged models - until scalability constraints led to distributed storage. Then comes NVMe, offering blistering speeds that all of these storage stacks struggle with. Kubernetes inspires Container Attached Storage aspiring to be the perfect model, so why is disaggregated storage now making an appearance?
This talk considers the motivations behind yet another storage topology and examines a modern, flexible architecture for delivering high-performance storage under Kubernetes.
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Nick Connolly is a pioneer of storage virtualisation and the Chief Scientist at DataCore, where his background in real-time computing and multiprocessing led to the creation of a world-class high-performance storage stack on Windows. He holds patents ranging from highly scalable algorithms through to data protection techniques. Recently he has been working with OpenEBS to bring the power and performance of NVMe to Kubernetes.
1.2 build cloud_fabric_final
Windows Server 2012 introduces new storage technologies like Storage Spaces and SMB 3.0 that can replace traditional SANs. These technologies provide high performance storage with easier administration and lower costs when used together. They enable virtualized storage through storage pools and spaces, storage resilience through hardware redundancy, and optimization of storage utilization.
Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
This document summarizes a presentation about Redis version 6 and beyond. Some key points include:
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- Redis is positioned as both a cache and a database due to its speed, data structures, and ability to handle complex data models through modules.
- Redis Enterprise provides additional capabilities like durability, high availability, geo-distribution, security and multi-tenancy.
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- RedisInsight is
Hpc lunch and learn
This document discusses ideas and technologies for building scalable software systems and processing big data. It covers:
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Automating a PostgreSQL High Availability Architecture with Ansible
Highly available databases are essential to organizations depending on mission-critical, 24/7 access to data. Postgres is widely recognized as an excellent open-source database, with critical maturity and features that allow organizations to scale and achieve high availability.
EDB reference architectures are designed to help new and existing users alike to quickly design a deployment architecture that suits their needs. Users can use these reference architectures as a blueprint or as the basis for a design that enhances and extends the functionality and features offered.
This webinar will explore:
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- EDB Ansible® roles helping in automating the deployment of reference architectures
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What's new with enterprise Redis - Leena Joshi, Redis Labs
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NoSQL – Data Center Centric Application Enablement
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Disaggregated Container Attached Storage - Yet Another Topology with What Pur...
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Moving Beyond Cache by Yiftach Shoolman Redis Labs - Redis Day Seattle 2020
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DynomiteDB - No spof High-availability Redis cluster solution
- 1. DynomiteDB High availability via a shared nothing architecture with no single point of failure (SPOF)
- 2. Agenda • What is DynomiteDB? • Other Solutions ? • DynomiteDB concepts • Dynomite Architecture • Demo Time
- 3. What is DynomiteDB? • DynomiteDB is a high performance Dynamo layer that adds data replication and sharding to Redis and other single-server storage engines, plus the ability to scale linearly, high availability via a shared nothing architecture with no single point of failure (SPOF), and support for 1000+ node clusters that span multiple data centers. • A high performance, linearly scalable, highly available (HA) and distributed open- source database with support for pluggable persistent and in-memory storage engines. • Redis provides DynomiteDB with a high performance backend and is the primary API supported by Dynomite. You can use any Redis client in your favorite programming language to build high performance, scalable applications with DynomiteDB.
- 4. Other solutions? • Twenproxy - redis api limited, just sharding depends on sentinel (limited,complex) • Codis – Many componentes whick makes a complex solution (complex and depends on sentinel) • Redis Cluster – not a solution! • Redis Sentinel – Active/Passive (No way)
- 5. DynomiteDB • DynomiteDB is a high performance Dynamo layer that adds data replication and sharding to Redis. • Multiple storage engines supported. • Linear Scability • high availability via a shared nothing architecture with no single point of failure (SPOF) • Support for 1000+ node clusters that span multiple data centers. • Persistent storages supported • Sync/Async replication depends on consistency level • Peer-to-peer architecture
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