This presentation breaks down the Aerospike Key Value Data Access. It covers the topics of Structured vs Unstructured Data, Database Hierarchy & Definitions as well as Data Patterns.
The document discusses compaction in RocksDB, an embedded key-value storage engine. It describes the two compaction styles in RocksDB: level style compaction and universal style compaction. Level style compaction stores data in multiple levels and performs compactions by merging files from lower to higher levels. Universal style compaction keeps all files in level 0 and performs compactions by merging adjacent files in time order. The document provides details on the compaction process and configuration options for both styles.
The document provides an overview of the Aerospike architecture, including the client, cluster, storage, primary and secondary indexes, RAM, flash storage, and cross datacenter replication (XDR). The Aerospike architecture aims to handle extremely high read/write rates over persistent data at low latency while ensuring consistency and scalability across datacenters with no downtime.
BlueStore: a new, faster storage backend for CephSage Weil
BlueStore is a new storage backend for Ceph that provides faster performance compared to the existing FileStore backend. BlueStore stores metadata in RocksDB and data directly on block devices, avoiding double writes and improving transaction performance. It supports multiple storage tiers by allowing different components like the RocksDB WAL, database and object data to be placed on SSDs, HDDs or NVRAM as appropriate.
Learn how Aerospike's Hybrid Memory Architecture brings transactions and analytics together to power real-time Systems of Engagement ( SOEs) for companies across AdTech, financial services, telecommunications, and eCommerce. We take a deep dive into the architecture including use cases, topology, Smart Clients, XDR and more. Aerospike delivers predictable performance, high uptime and availability at the lowest total cost of ownership (TCO).
Storm is a distributed and fault-tolerant realtime computation system. It was created at BackType/Twitter to analyze tweets, links, and users on Twitter in realtime. Storm provides scalability, reliability, and ease of programming. It uses components like Zookeeper, ØMQ, and Thrift. A Storm topology defines the flow of data between spouts that read data and bolts that process data. Storm guarantees processing of all data through its reliability APIs and guarantees no data loss even during failures.
Flink Forward Berlin 2018: Stefan Richter - "Tuning Flink for Robustness and ...Flink Forward
Flink's stateful stream processing engine presents a huge variety of optional features and configuration choices to the user. Figuring out the ""optimal"" choices for any production environment and use-case can therefore often be challenging. In this talk, we will explore and discuss the universe of Flink configuration with respect to robustness and performance.
We will start with a closer look under the hood, at core data structures and algorithms, to build the foundation for understanding the impact of tuning parameters and the costs-benefit-tradeoffs that come with certain features and options. In particular, we will focus on state backend choices (Heap vs RocksDB), tuning checkpointing (incremental checkpoints, ...) and recovery (local recovery), file systems, TTL state, and considerations for the network stack. This also includes a discussion about estimating memory requirements and memory partitioning.
Redis is an in-memory key-value store that is often used as a database, cache, and message broker. It supports various data structures like strings, hashes, lists, sets, and sorted sets. While data is stored in memory for fast access, Redis can also persist data to disk. It is widely used by companies like GitHub, Craigslist, and Engine Yard to power applications with high performance needs.
Multiple Sites and Disaster Recovery with Ceph: Andrew Hatfield, Red HatOpenStack
Multiple Sites and Disaster Recovery with Ceph
Audience: Intermediate
Topic: Storage
Abstract: Ceph is the leading storage solution for OpenStack. As OpenStack deployments become more mission critical and widely deployed, multiple site requirements are increasing as is the need to ensure disaster recovery and business continuity. Learn about the new capabilities in Ceph that assist customers with meeting these requirements for block and object uses.
Speaker Bio: Andrew Hatfield, Red Hat
Andrew has over 20 years experience in the IT industry across APAC, specialising in Databases, Directory Systems, Groupware, Virtualisation and Storage for Enterprise and Government organisations. When not helping customers slash costs and increase agility by moving to the software-defined storage future, he’s enjoying the subtle tones of Islay Whisky and shredding pow pow on the world’s best snowboard resorts.
OpenStack Australia Day Government - Canberra 2016
https://events.aptira.com/openstack-australia-day-canberra-2016/
Configuring storage. The slides to this webinar cover how to configure storage for Aerospike. It includes a discussion of how Aerospike uses Flash/SSDs and how to get the best performance out of them.
Find the full webinar with audio here - http://www.aerospike.com/webinars
Introduction to memcached, a caching service designed for optimizing performance and scaling in the web stack, seen from perspective of MySQL/PHP users. Given for 2nd year students of professional bachelor in ICT at Kaho St. Lieven, Gent.
This is the presentation I made on JavaDay Kiev 2015 regarding the architecture of Apache Spark. It covers the memory model, the shuffle implementations, data frames and some other high-level staff and can be used as an introduction to Apache Spark
HBase Accelerated introduces an in-memory flush and compaction pipeline for HBase to improve performance of real-time workloads. By keeping data in memory longer and avoiding frequent disk flushes and compactions, it reduces I/O and improves read and scan latencies. Evaluation on workloads with high update rates and small working sets showed the new approach significantly outperformed the default HBase implementation by serving most data from memory. Work is ongoing to further optimize the in-memory representation and memory usage.
The document discusses tuning MySQL server settings for performance. Some key points covered include:
- Settings are workload-specific and depend on factors like storage engine, OS, hardware. Tuning involves getting a few settings right rather than maximizing all settings.
- Monitoring tools like SHOW STATUS, SHOW INNODB STATUS, and OS tools can help evaluate performance and identify tuning opportunities.
- Memory allocation and settings like innodb_buffer_pool_size, key_buffer_size, query_cache_size are important to configure based on the workload and available memory.
Introduction and Overview of Apache Kafka, TriHUG July 23, 2013mumrah
Apache Kafka is a distributed publish-subscribe messaging system that allows both publishing and subscribing to streams of records. It uses a distributed commit log that provides low latency and high throughput for handling real-time data feeds. Key features include persistence, replication, partitioning, and clustering.
CRUSH is the powerful, highly configurable algorithm Red Hat Ceph Storage uses to determine how data is stored across the many servers in a cluster. A healthy Red Hat Ceph Storage deployment depends on a properly configured CRUSH map. In this session, we will review the Red Hat Ceph Storage architecture and explain the purpose of CRUSH. Using example CRUSH maps, we will show you what works and what does not, and explain why.
Presented at Red Hat Summit 2016-06-29.
BlueStore, A New Storage Backend for Ceph, One Year InSage Weil
BlueStore is a new storage backend for Ceph OSDs that consumes block devices directly, bypassing the local XFS file system that is currently used today. It's design is motivated by everything we've learned about OSD workloads and interface requirements over the last decade, and everything that has worked well and not so well when storing objects as files in local files systems like XFS, btrfs, or ext4. BlueStore has been under development for a bit more than a year now, and has reached a state where it is becoming usable in production. This talk will cover the BlueStore design, how it has evolved over the last year, and what challenges remain before it can become the new default storage backend.
This document introduces HBase, an open-source, non-relational, distributed database modeled after Google's BigTable. It describes what HBase is, how it can be used, and when it is applicable. Key points include that HBase stores data in columns and rows accessed by row keys, integrates with Hadoop for MapReduce jobs, and is well-suited for large datasets, fast random access, and write-heavy applications. Common use cases involve log analytics, real-time analytics, and messages-centered systems.
One of the most important things you can do to improve the performance of your flash/SSDs with Aerospike is to properly prepare them. This Presentation goes through how to select, test, and prepare the drives so that you will get the best performance and lifetime out of them.
Ceph is an open-source distributed storage platform that provides file, block, and object storage in a single unified system. It uses a distributed storage component called RADOS that provides reliable and scalable storage through data replication and erasure coding across commodity hardware. Higher-level services like RBD provide virtual block devices, RGW provides S3-compatible object storage, and CephFS provides a distributed file system.
This presentation provides an overview of the Dell PowerEdge R730xd server performance results with Red Hat Ceph Storage. It covers the advantages of using Red Hat Ceph Storage on Dell servers with their proven hardware components that provide high scalability, enhanced ROI cost benefits, and support of unstructured data.
Performant Streaming in Production: Preventing Common Pitfalls when Productio...Databricks
Running a stream in a development environment is relatively easy. However, some topics can cause serious issues in production when they are not addressed properly.
Ceph is an open-source distributed storage system that provides object, block, and file storage. The document discusses optimizing Ceph for an all-flash configuration and analyzing performance issues when using Ceph on all-flash storage. It describes SK Telecom's testing of Ceph performance on VMs using all-flash SSDs and compares the results to a community Ceph version. SK Telecom also proposes their all-flash Ceph solution with custom hardware configurations and monitoring software.
This document discusses optimizations for CEPH storage on SSDs. It begins with an introduction to NIC tech lab and software defined storage. It then explains why SSDs provide higher performance than HDDs due to lower latency and higher parallelism. The document provides examples of optimizing the Linux IO scheduler and discusses principles of performance tuning. It describes the CEPH architecture including RADOS, CRUSH, and consistency models. It focuses on optimizations for metadata processing in BlueStore including sharding, pre-allocation, and reducing acknowledgment overhead. Overall optimizations included reducing metadata overhead, improving IO paths, using shard finishers, and optimizing the operating system.
Whats the buzz about? When it comes to NoSQL, what do some of the most experienced developers know about NoSQL that makes them select Aerospike over any other NoSQL database?
Find the full webinar with audio here - http://www.aerospike.com/webinars
This presentaion will review how real-time big data driven applications are changing consumer expectations and enterprise requirements for operational databases that enable powerful and personalized customer experiences. We will describe common use cases, typical customer deployments and present an overview of Aerospike's hybrid in-memory (DRAM + Flash) and scale-out architecture.
Basic concepts and high level configuration. This is a basic overview of the Aerospike database and presents an introduction to configuring the database service.
Find the full webinar with audio here - http://www.aerospike.com/webinars
Flink Forward Berlin 2018: Stefan Richter - "Tuning Flink for Robustness and ...Flink Forward
Flink's stateful stream processing engine presents a huge variety of optional features and configuration choices to the user. Figuring out the ""optimal"" choices for any production environment and use-case can therefore often be challenging. In this talk, we will explore and discuss the universe of Flink configuration with respect to robustness and performance.
We will start with a closer look under the hood, at core data structures and algorithms, to build the foundation for understanding the impact of tuning parameters and the costs-benefit-tradeoffs that come with certain features and options. In particular, we will focus on state backend choices (Heap vs RocksDB), tuning checkpointing (incremental checkpoints, ...) and recovery (local recovery), file systems, TTL state, and considerations for the network stack. This also includes a discussion about estimating memory requirements and memory partitioning.
Redis is an in-memory key-value store that is often used as a database, cache, and message broker. It supports various data structures like strings, hashes, lists, sets, and sorted sets. While data is stored in memory for fast access, Redis can also persist data to disk. It is widely used by companies like GitHub, Craigslist, and Engine Yard to power applications with high performance needs.
Multiple Sites and Disaster Recovery with Ceph: Andrew Hatfield, Red HatOpenStack
Multiple Sites and Disaster Recovery with Ceph
Audience: Intermediate
Topic: Storage
Abstract: Ceph is the leading storage solution for OpenStack. As OpenStack deployments become more mission critical and widely deployed, multiple site requirements are increasing as is the need to ensure disaster recovery and business continuity. Learn about the new capabilities in Ceph that assist customers with meeting these requirements for block and object uses.
Speaker Bio: Andrew Hatfield, Red Hat
Andrew has over 20 years experience in the IT industry across APAC, specialising in Databases, Directory Systems, Groupware, Virtualisation and Storage for Enterprise and Government organisations. When not helping customers slash costs and increase agility by moving to the software-defined storage future, he’s enjoying the subtle tones of Islay Whisky and shredding pow pow on the world’s best snowboard resorts.
OpenStack Australia Day Government - Canberra 2016
https://events.aptira.com/openstack-australia-day-canberra-2016/
Configuring storage. The slides to this webinar cover how to configure storage for Aerospike. It includes a discussion of how Aerospike uses Flash/SSDs and how to get the best performance out of them.
Find the full webinar with audio here - http://www.aerospike.com/webinars
Introduction to memcached, a caching service designed for optimizing performance and scaling in the web stack, seen from perspective of MySQL/PHP users. Given for 2nd year students of professional bachelor in ICT at Kaho St. Lieven, Gent.
This is the presentation I made on JavaDay Kiev 2015 regarding the architecture of Apache Spark. It covers the memory model, the shuffle implementations, data frames and some other high-level staff and can be used as an introduction to Apache Spark
HBase Accelerated introduces an in-memory flush and compaction pipeline for HBase to improve performance of real-time workloads. By keeping data in memory longer and avoiding frequent disk flushes and compactions, it reduces I/O and improves read and scan latencies. Evaluation on workloads with high update rates and small working sets showed the new approach significantly outperformed the default HBase implementation by serving most data from memory. Work is ongoing to further optimize the in-memory representation and memory usage.
The document discusses tuning MySQL server settings for performance. Some key points covered include:
- Settings are workload-specific and depend on factors like storage engine, OS, hardware. Tuning involves getting a few settings right rather than maximizing all settings.
- Monitoring tools like SHOW STATUS, SHOW INNODB STATUS, and OS tools can help evaluate performance and identify tuning opportunities.
- Memory allocation and settings like innodb_buffer_pool_size, key_buffer_size, query_cache_size are important to configure based on the workload and available memory.
Introduction and Overview of Apache Kafka, TriHUG July 23, 2013mumrah
Apache Kafka is a distributed publish-subscribe messaging system that allows both publishing and subscribing to streams of records. It uses a distributed commit log that provides low latency and high throughput for handling real-time data feeds. Key features include persistence, replication, partitioning, and clustering.
CRUSH is the powerful, highly configurable algorithm Red Hat Ceph Storage uses to determine how data is stored across the many servers in a cluster. A healthy Red Hat Ceph Storage deployment depends on a properly configured CRUSH map. In this session, we will review the Red Hat Ceph Storage architecture and explain the purpose of CRUSH. Using example CRUSH maps, we will show you what works and what does not, and explain why.
Presented at Red Hat Summit 2016-06-29.
BlueStore, A New Storage Backend for Ceph, One Year InSage Weil
BlueStore is a new storage backend for Ceph OSDs that consumes block devices directly, bypassing the local XFS file system that is currently used today. It's design is motivated by everything we've learned about OSD workloads and interface requirements over the last decade, and everything that has worked well and not so well when storing objects as files in local files systems like XFS, btrfs, or ext4. BlueStore has been under development for a bit more than a year now, and has reached a state where it is becoming usable in production. This talk will cover the BlueStore design, how it has evolved over the last year, and what challenges remain before it can become the new default storage backend.
This document introduces HBase, an open-source, non-relational, distributed database modeled after Google's BigTable. It describes what HBase is, how it can be used, and when it is applicable. Key points include that HBase stores data in columns and rows accessed by row keys, integrates with Hadoop for MapReduce jobs, and is well-suited for large datasets, fast random access, and write-heavy applications. Common use cases involve log analytics, real-time analytics, and messages-centered systems.
One of the most important things you can do to improve the performance of your flash/SSDs with Aerospike is to properly prepare them. This Presentation goes through how to select, test, and prepare the drives so that you will get the best performance and lifetime out of them.
Ceph is an open-source distributed storage platform that provides file, block, and object storage in a single unified system. It uses a distributed storage component called RADOS that provides reliable and scalable storage through data replication and erasure coding across commodity hardware. Higher-level services like RBD provide virtual block devices, RGW provides S3-compatible object storage, and CephFS provides a distributed file system.
This presentation provides an overview of the Dell PowerEdge R730xd server performance results with Red Hat Ceph Storage. It covers the advantages of using Red Hat Ceph Storage on Dell servers with their proven hardware components that provide high scalability, enhanced ROI cost benefits, and support of unstructured data.
Performant Streaming in Production: Preventing Common Pitfalls when Productio...Databricks
Running a stream in a development environment is relatively easy. However, some topics can cause serious issues in production when they are not addressed properly.
Ceph is an open-source distributed storage system that provides object, block, and file storage. The document discusses optimizing Ceph for an all-flash configuration and analyzing performance issues when using Ceph on all-flash storage. It describes SK Telecom's testing of Ceph performance on VMs using all-flash SSDs and compares the results to a community Ceph version. SK Telecom also proposes their all-flash Ceph solution with custom hardware configurations and monitoring software.
This document discusses optimizations for CEPH storage on SSDs. It begins with an introduction to NIC tech lab and software defined storage. It then explains why SSDs provide higher performance than HDDs due to lower latency and higher parallelism. The document provides examples of optimizing the Linux IO scheduler and discusses principles of performance tuning. It describes the CEPH architecture including RADOS, CRUSH, and consistency models. It focuses on optimizations for metadata processing in BlueStore including sharding, pre-allocation, and reducing acknowledgment overhead. Overall optimizations included reducing metadata overhead, improving IO paths, using shard finishers, and optimizing the operating system.
Whats the buzz about? When it comes to NoSQL, what do some of the most experienced developers know about NoSQL that makes them select Aerospike over any other NoSQL database?
Find the full webinar with audio here - http://www.aerospike.com/webinars
This presentaion will review how real-time big data driven applications are changing consumer expectations and enterprise requirements for operational databases that enable powerful and personalized customer experiences. We will describe common use cases, typical customer deployments and present an overview of Aerospike's hybrid in-memory (DRAM + Flash) and scale-out architecture.
Basic concepts and high level configuration. This is a basic overview of the Aerospike database and presents an introduction to configuring the database service.
Find the full webinar with audio here - http://www.aerospike.com/webinars
The document discusses improving performance in Aerospike systems. It analyzes performance at the client level, network level, and Aerospike node level. Some key factors that can impact performance are CPU usage, number of network connections, bandwidth, transactions per second, and storage I/O. The document provides commands to monitor these factors and suggests potential remedies such as adding nodes, SSDs, faster network equipment, or load balancing.
This document discusses requirements for achieving operational big data at scale. It describes how advertising technology requires processing millions of queries per second for tasks like real-time bidding. It also outlines requirements for other domains like financial services, social media, travel, and telecommunications which need to support high volumes of real-time data and transactions. The document advocates for using an in-memory NoSQL database with flash storage to meet these demanding performance requirements across different industries.
This document discusses the journey of a company moving from a Microsoft-based infrastructure to using open source NoSQL databases like Cassandra and Aerospike to handle increasing data and performance needs. It describes initial experiments with Cassandra that showed promise but eventually led to performance issues as data and request volumes grew. An evaluation of Aerospike demonstrated significantly better consistent performance and simplified operations, leading to it replacing Cassandra in production. Lessons learned include regularly evaluating technology choices and being open to alternatives as needs change over time.
The document discusses different strategies for horizontally scaling databases, including simple sharding, hashed sharding, and master-slave architectures. It describes Aerospike's approach of "smart partitioning", which balances data automatically, hides complexity from clients, and provides redundancy and failover. The key advantages are linear scalability, high availability even during maintenance, and the ability to handle catastrophic failures through multi-datacenter replication that can withstand outages and disasters.
What enterprises can learn from Real Time BiddingAerospike
Brian Bulkowski, CTO of Aerospike, the NoSQL database, discusses the software architecture pioneered in cutting edge advertising optimizations companies in 2008, made popular between 2009 and 2013, and now becoming more widely used in Financial Services, Retail, Social Media, Travel companies, and others. This new technology architecture focuses on multiple big data analytics sources - HDFS based batch engines, using Hadoop, Hive, Hbase, Vertica, Spark, and others depending on analysis and query patterns - with an operational and application layer. The operational application level consists of new internet application stacks, such as Node.js, Nginx, Jetty, Scala, and Go, and in-memory NoSQL databases such as MongoDB, Cassandra, and Aerospike.
Specific recommendations regarding building a high-performance operational layer are presented. In particular, focusing on primary-key access at the operational layer, using Flash for the random in-memory nosql layer, and the benefits of Open Source were presented.
This presentation was given at the Big Data Gurus meetup in Santa Clara, CA, on July 29, 2014. http://www.meetup.com/BigDataGurus/
2017 DB Trends for Powering Real-Time Systems of EngagementAerospike, Inc.
Slides from a webinar delivered on 12/14/16 by Aerospike guest speaker, Forrester Principal Analyst Noel Yuhanna, and Aerospike’s CTO and Co-founder, Brian Bulkowski. They cover the challenges companies face in powering real-time digital business applications and Systems of Engagement (SOEs). SOEs need to be fast and consistent, but traditional DB approaches, including RDBMS or 1st generation NoSQL solutions, can be complex, a challenge to maintain, and costly. The trend for 2017 and beyond is to simplify systems and traditional architecture while reducing vendors.
You'll learn about:
* An emerging new architecture for SOE's - specifically, a hybrid memory architecture, which removes the entire traditional caching layer from real-time applications
* How enterprises are embracing this simplified model across financial services, telco, and adtech
* How you can significantly lower total cost of ownership (TCO) and create true competitive advantage as part of your digital transformation
WEBINAR: Architectures for Digital Transformation and Next-Generation Systems...Aerospike, Inc.
Containers are great ephemeral vessels for your applications. But what about the data that drives your business? It must survive containers coming and going, maintain its availability and reliability, and grow when you need it.
Alvin Richards reviews a number of strategies to deal with persistent containers and discusses where the data can be stored and how to scale the persistent container layer. Alvin includes code samples and interactive demos showing the power of Docker Machine, Engine, Swarm, and Compose, before demonstrating how to combine them with multihost networking to build a reliable, scalable, and production-ready tier for the data needs of your organization.
This document provides an overview of Cassandra, a decentralized, distributed database management system. It discusses why the author's company chose Cassandra over other options like HBase and MySQL for their real-time data needs. The document then covers Cassandra's data model, architecture, data partitioning, replication, and other key aspects like writes, reads, deletes, and compaction. It also notes some limitations of Cassandra and provides additional resource links.
Benchmark Background:
- Requested by TV Broadcaster for a voting platform
- Choose the best NoSQL DB for the use case
- Push the DB to the max limit
- AWS infrastructure
Goal:
- 2M votes/sec at the best TCO
- 2M Votes = ~7M DB Ops/sec
Driving the On-Demand Economy with Spark and Predictive AnalyticsSingleStore
The document discusses how data scientists need real-time analytics capabilities to power the on-demand economy. It introduces MemSQL 5 as a database platform for real-time analytics that can help overcome barriers like slow loading, queries, and ongoing data processing faced with batch processing. MemSQL 5 includes features like Streamliner for building real-time data pipelines and predictive analytics using Spark and MLlib to power applications like predictive scoring and IoT.
This document provides an introduction to NoSQL databases, using MongoDB as an example. It discusses what NoSQL databases are, why they were created, different types of NoSQL databases, and MongoDB features like replication and sharding. Examples are shown of basic CRUD operations in MongoDB as an alternative to SQL. Advantages and disadvantages of both SQL and NoSQL databases are also presented.
Redis is an in-memory data structure store that can be used as a database, cache, or message broker. It supports string, hash, list, set and sorted set data types and allows for atomic operations and transactions. While data resides in memory, Redis can optionally persist data to disk for durability. It is useful for caching, real-time analytics, queues and more due to its speed, flexibility and support for pub/sub messaging.
View, Act, and React: Shaping Business Activity with Analytics, BigData Queri...Srinath Perera
Sun Tzu said “if you know your enemies and know yourself, you can win a hundred battles without a single loss.” Those words have never been truer than in our time. We are faced with an avalanche of data. Many believe the ability to process and gain insights from a vast array of available data will be the primary competitive advantage for organizations in the years to come.
To make sense of data, you will have to face many challenges: how to collect, how to store, how to process, and how to react fast. Although you can build these systems from bottom up, it is a significant problem. There are many technologies, both open source and proprietary, that you can put together to build your analytics solution, which will likely save you effort and provide a better solution.
In this session, Srinath will discuss WSO2’s middleware offering in BigData and explain how you can put them together to build a solution that will make sense of your data. The session will cover technologies like thrift for collecting data, Cassandra for storing data, Hadoop for analyzing data in batch mode, and Complex event processing for analyzing data real time.
Aerospike AdTech Gets Hacked in Lower ManhattanAerospike
Aerospike's highly reliable and scalable database, using NoSQL and In-memory technology, presentation slides given at Stack Exchange on April 10th with NSOne and advertising technology luminaries.
AdTech Gets Hacked in Lower Manhattan
Stack Exchange, 110 William St 28th Floor,
New York, NY 10038
This document provides an overview of IP Security (IPSec) including its architecture, protocols, and concepts. IPSec provides authentication, confidentiality, and key management for IP packets across local area networks, private and public wide area networks, and the Internet. It operates below the transport layer, making it transparent to applications. IPSec uses security associations, security policy databases, and authentication header and encapsulating security payload protocols to secure IP traffic. While useful, it has some challenges with network address translation devices.
Implementing AutoComplete for Freemarker and Velocity languages in ACE Editorpeychevi
The document introduces AutoComplete and a Palette feature for the Velocity and FreeMarker template languages in Liferay Portal 6.2. It describes improvements over Liferay 6.1, including building an AutoComplete from scratch using the ACE Editor API, creating a Palette of commonly used variables and functions, and applying both features to template editing. Future plans include supporting more languages, visual formatters, and other editors.
Introduction to streaming and messaging flume,kafka,SQS,kinesis Omid Vahdaty
Big data makes you a bit Confused ? messaging? batch processing? data streaming? in flight analytics? Cloud? open source? Flume? kafka? flafka (both)? SQS? kinesis? firehose?
Top programming languages in open source softwareHoang Thao
The document discusses analyzing the top programming languages used in open source software projects. It outlines collecting data on projects from SourceForge and Ohloh across different categories, then calculating the percentage of projects using each language to determine the top 10 overall and for various categories. The results show C as the top language overall, and distributions varying between categories, with Java ranking highest in science and engineering and C++ in games. Future work could involve analyzing more data and collecting it automatically.
iSCSI provides a standard way to access Ceph block storage remotely over TCP/IP. SUSE Enterprise Storage 3 includes an iSCSI target driver that allows any iSCSI initiator to connect to Ceph storage. This provides multiple platforms with standardized access to Ceph without needing to join the cluster. Optimizations are made in iSCSI to efficiently handle SCER operations by offloading work to OSDs.
openATTIC provides a web-based interface for managing Ceph and other storage. It currently allows pool, OSD, and RBD management along with cluster monitoring. Future plans include extended pool and OSD management, CephFS and RGW integration, and deployment/configuration of Ceph nodes via Salt.
Suse Enterprise Storage 3 provides iSCSI access to connect to ceph storage remotely over TCP/IP, allowing clients to access ceph storage using the iSCSI protocol. The iSCSI target driver in SES3 provides access to RADOS block devices. This allows any iSCSI initiator to connect to SES3 over the network. SES3 also includes optimizations for iSCSI gateways like offloading operations to object storage devices to reduce locking on gateway nodes.
RedisConf17 - Building Large High Performance Redis Databases with Redis Ente...Redis Labs
This document discusses building large databases with Redis Enterprise (Redise) using flash memory. It introduces Redis Labs and their Redise product, which uses a clustered architecture to scale Redis deployments. Redise allows scaling data beyond RAM by extending into flash memory at a lower cost than using only RAM. Performance tests show Redise running on Intel Optane SSDs can achieve up to 9x higher throughput than traditional SSDs for large datasets. The document advocates Redise Flash as a cost-effective way to handle massive datasets with near-RAM latency.
i. SUSE Enterprise Storage 3 provides iSCSI access to connect remotely to ceph storage over TCP/IP, allowing any iSCSI initiator to access the storage over a network. The iSCSI target driver sits on top of RBD (RADOS block device) to enable this access.
ii. Configuring the lrbd package simplifies setting up an iSCSI gateway to Ceph. Multiple gateways can be configured for high availability using targetcli utility.
iii. Optimizations have been made to the iSCSI gateway to efficiently handle certain SCSI operations like atomic compare and write by offloading work to OSDs to avoid locking on gateway nodes.
This document provides an overview of Redis, including:
- Redis is an in-memory database that supports various data types and persistence. It can function as a cache but is not solely a cache.
- Redis has very fast performance and supports features like expiration, different data types (strings, hashes, lists, sets, sorted sets), replication, and sharding.
- The document discusses Redis use cases, installation, benchmarking results, commands, and provides examples of how Redis could be used for tasks like tracking page views, popular news lists, and real-time gaming rankings.
This document provides an overview of the arcserve UDP architecture. It discusses elements like the centralized management console, recovery point server for global deduplication, built-in replication, agentless backup for virtual environments, block-level incremental backup, full system high availability, virtual standby, multi-tenant storage, jumpstart data seeding, unified reporting, and tape archive capabilities. The goal is to reduce costs and complexity of data protection especially for remote offices by eliminating the need for tape backups in the field.
Storage, San And Business Continuity OverviewAlan McSweeney
The document provides an overview of storage systems and business continuity options. It discusses various types of storage including DAS, NAS and SAN. It then covers business continuity and disaster recovery strategies like replication, snapshots and mirroring. It also discusses how server virtualization can help improve disaster recovery.
The document describes the limitations of the current Oracle architecture using single instance databases with DataGuard for high availability and discusses the benefits of a new resilient infrastructure using Oracle RAC and ASM. It provides an overview of the components in a demo system including the network, systems, software, storage and shared Oracle homes. It also discusses how NetApp filers can provide storage and snapshots, and how SMO manages consistency when using flex clones of databases.
The document is a presentation about Panasas storage for Saudi Aramco. It begins with an agenda that covers understanding the Panasas storage technique, its technical details, common error traces, and problem solving. It then provides bullet points on starting the session, the terminology used, how Panasas works, and fault fixing methods. The presentation defines key Panasas components like blades, directors, volumes, and snapshots. It explains how data is stored across object storage devices and reconstructed in the event of failures. Methods for upgrading, generating core dumps, and analyzing logs are also overviewed.
IAM allows managing user access to AWS services by controlling authentication and authorization. It provides centralized control of an AWS account and granular permissions. Key features include identity federation, multifactor authentication, password rotation policies, and support for compliance standards.
This document provides an overview of the key elements and features of the arcserve UDP data protection solution, including:
- Centralized management console for backups across physical and virtual systems
- Recovery Point Server for global deduplication, replication, and optimized storage
- Agentless backup for virtual environments like VMware and Hyper-V
- Built-in replication between Recovery Point Servers for disaster recovery
- Advanced features like infinite incremental backups, scheduling, and reporting
Configuring workload-based storage and topologiesMariaDB plc
This document discusses configuring workload-based storage and topologies in MariaDB. It introduces several MariaDB storage engines including InnoDB, MyRocks, Aria, Spider, and ColumnStore. For each engine, it provides an overview of use cases, key configuration parameters, and recommendations on when to use each engine. It also provides an example of using different engines like MyRocks, InnoDB and Spider across multiple microservices databases based on the workload. The document aims to help users choose the right storage engine for their specific workload needs.
This document discusses various methods for backing up and restoring SharePoint 2010 environments. It covers the built-in SharePoint backup tools like the Central Administration backup tool. It also discusses using STSADM commands and PowerShell for backups. SQL backup tools and third party solutions like Data Protection Manager are presented. The critical SharePoint components needing backup are outlined. An in-depth look at architecting a DPM environment is provided along with demonstrations of DPM for SharePoint backups.
This document discusses backup and restore strategies for SharePoint 2010. It outlines the critical SharePoint components that need to be backed up, including databases, IIS configuration, and custom templates. It then describes the various backup tools available, such as the Central Administration tool, PowerShell, STSADM commands, SQL maintenance plans, and System Center Data Protection Manager. It provides details on how to implement backups using these different methods and also discusses best practices for architecting a DPM environment to back up an entire SharePoint farm.
Presentation oracle on power power advantages and license optimizationsolarisyougood
This document discusses optimizing Oracle licensing on IBM Power Systems. It describes the advantages of Power Systems for virtualization and workload consolidation which can reduce licensing costs. It provides an overview of Oracle editions and their pricing, noting opportunities to use Standard Edition to save costs versus Enterprise Edition. It also discusses when RAC may not be needed on Power Systems due to its high availability features, and how PowerVM partitioning is recognized by Oracle for "sub-capacity pricing" based on actual cores used.
Laine Campbell, CEO of Blackbird, will explain the options for running MySQL at high volumes at Amazon Web Services, exploring options around database as a service, hosted instances/storages and all appropriate availability, performance and provisioning considerations using real-world examples from Call of Duty, Obama for America and many more. Laine will show how to build highly available, manageable and performant MySQL environments that scale in AWS—how to maintain then, grow them and deal with failure. Some of the specific topics covered are:
* Overview of RDS and EC2 – pros, cons and usage patterns/antipatterns.
* Implementation choices in both offerings: instance sizing, ephemeral SSDs, EBS, provisioned IOPS and advanced techniques (RAID, mixed storage environments, etc…)
* Leveraging regions and availability zones for availability, business continuity and disaster recovery.
* Scaling patterns including read/write splitting, read distribution, functional dataset partitioning and horizontal dataset partitioning (aka sharding)
* Common failure modes – AZ and Region failures, EBS corruption, EBS performance inconsistencies and more.
* Managing and mitigating cost with various instance and storage options
The document discusses storage area network (SAN) concepts and technologies. It describes how SANs increase storage utilization by consolidating storage and eliminating "islands" of dedicated storage. SANs provide higher availability than direct-attached storage by enabling features like backups without downtime and faster disaster recovery. The document outlines SAN protocols like Fibre Channel and iSCSI, as well as RAID levels and their characteristics. It also discusses business continuity strategies and how different replication technologies impact recovery point and recovery time objectives.
RDS for MySQL, No BS Operations and PatternsLaine Campbell
RDS for MySQL provides a fully managed MySQL database in the cloud. It handles backups, provisioning, patching, and failover automatically. While convenient, RDS has some limitations like inability to choose database versions, limited control over maintenance windows, and downtime required for migrations or upgrades. Careful planning is needed for workloads with high availability or latency requirements. Overall RDS reduces DBA overhead but still requires expertise for design, tuning, and automation.
This document provides an overview of high availability and disaster recovery strategies for Azure SQL solutions. It discusses recovery time and point objectives and available options like Always On availability groups and failover cluster instances. It also covers backup and restore, factors to consider in a HADR strategy, and differences between infrastructure as a service and platform as a service solutions. Specific options covered include availability sets, availability zones, log shipping, Azure Site Recovery, temporal tables, active geo-replication, and auto failover groups.
The document provides an overview of the Aerospike architecture, including the client, cluster, storage, indexes, RAM, flash storage, and cross datacenter replication (XDR). It describes Aerospike's goals of handling high transaction volumes at low latency while scaling linearly. The key aspects of the architecture are the smart client that routes to data in one hop, shared-nothing nodes, single row transactions, smart cluster management, and XDR for data replication across datacenters.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
2. Salient Features
Redis Aerospike
High performance
Data Structure store
Tuned for in-memory
Can be persisted
Clustering in beta
Application sharded
High performance
Generic KeyValue Store
Tuned for in-memory
Tuned for persistence
Auto clustering
Auto sharded
Auto rebalancing
3. High Performance
Redis Aerospike
Written in C
Tuned for in-memory
Single threaded
Multiple instances to
exploit multiple cores
Risk of loosing replicated
data
Written in C
Tuned for in-memory/
SSD
Multi threaded
Single/Multiple instances
to exploit multiple cores
No risk in single instance
mode
Can use rackawareness
when running multiple
instances
4. Data Store
Redis Aerospike
Very rich set of data
strcutures & operations
[A…Z] – [J N V X Y]
API is data structure
centric
Caller/App should know
the Redis node
2^32 max keys per node
Supports int, string, list,
map, blob
All operations are not
predefined
API is KeyValue centric
Caller/App need not
know the Aerospike node
2^160 max keys per
namespace
6. Persistence
Redis Aerospike
Optional persistence
Snapshot
AOF
In case of AOF, the
whole log needs to be re-applied
Tuned for SSDs
Tuned for in-memory +
HDD
Own log structured
filesystem
Storage file is simply
scanned and loaded
Can be warm restarted
7. Replication
Redis Aerospike
Manual config of master-slave
Asynchronous replication
A node is exclusively
master or slave
Needs more machines
Auto assignment of
master-slave
Synchronous replication
A node is both master
and slave
Needs less but bigger
machines
Rackaware
8. Sharding
Redis Aerospike
Application sharding Auto sharding
Hash based
into 4096 partitions
Partitions are assigned to
nodes
Auto rebalancing of data
9. Clustering
Redis Aerospike
In Beta
Consistent
Manual/Scripted cluster
formation
…
In-built from day 1
Available
Auto clustering using
multicast
Auto rebalance when
cluster changes
Read/Writes allowed during
rebalancing
10. Additional Features
Redis Aerospike
User Defined Functions
PubSub
…
Afterburner script to tune
system
Cross Datacenter
Replication
Secondary Index
User Define Functions
Streaming Aggregations
GUI Monitoring Console