Priyanka, a MySQL cluster developer, presented MySQL cluster in the MySQL User camp. The slide deck contains an introduction to the cluster module- the architecture,
auto-sharding, failover etc in the cluster module.
MySQL Performance Best Practices document discusses various techniques for optimizing MySQL performance. It covers monitoring performance with tools like MySQL Enterprise Monitor, optimizing configurations such as increasing the InnoDB buffer pool size, balancing data consistency versus performance by adjusting the innodb_flush_log_at_trx_commit setting, and summarizes that monitoring is essential to identify performance issues and test configuration changes before deploying to production.
MySQL 5.7 is GA. Here is the news about our NoSQL features in MySQL and MySQL Cluster, with a lot of emphasize on the new JSON features that make MySQL suitable as a document store.
NoSQL & SQL - Best of both worlds - BarCamp Berkshire 2013Andrew Morgan
The document discusses blending NoSQL and SQL databases by leveraging the strengths of both. It describes how MySQL Cluster provides massively scalable performance through its NoSQL-style data storage and replication abilities, while also supporting SQL queries, joins, and ACID transactions like a traditional relational database. This allows applications to use NoSQL for simple operations and scalability while still using SQL for complex queries and transactions as needed.
The Software as a Service or SaaS market is large and growing. Demands of 24/7 availability, high performance, back-up, security, affordability, scalability, manageability, audit ability and easy integration when delivering your product and or service to your customers, are business challenges which we will address in this presentation. By demonstrating MySQL’s proven ability in this area, we will show how we can help new and seasoned SaaS vendors.
MySQL Cluster Scaling to a Billion QueriesBernd Ocklin
MySQL Cluster is a distributed database that provides extreme scalability, high availability, and real-time performance. It uses an auto-sharding and auto-replicating architecture to distribute data across multiple low-cost servers. Key benefits include scaling reads and writes, 99.999% availability through its shared-nothing design with no single point of failure, and real-time responsiveness. It supports both SQL and NoSQL interfaces to enable complex queries as well as high-performance key-value access.
The document provides an overview of MySQL Cluster, including its history, architecture, components, and data partitioning. MySQL Cluster was originally developed by Ericsson in the late 1990s to provide highly reliable, real-time performance for telecommunications databases. It has since been acquired and maintained by Oracle. MySQL Cluster uses multiple data nodes to store and replicate data fragments across the cluster, providing high availability and linear scalability.
What's new in MySQL Cluster 7.4 webinar chartsAndrew Morgan
MySQL Cluster powers the subscriber databases of major communication services providers as well as next generation web, cloud, social and mobile applications. It is designed to deliver:
- Real-time, in-memory performance for both OLTP and analytics workloads
- Linear scale-out for both reads and writes
99.999% High Availability
- Transparent, cross-shard transactions and joins
- Update-Anywhere Geographic replication
- SQL or native NoSQL APIs
All that while still providing full ACID transactions.
This document provides an overview and summary of MySQL Cluster. It discusses how MySQL Cluster provides high availability, scalability and performance through features like auto-sharding, multi-master replication, ACID compliance, and built-in high availability. It also provides examples showing how MySQL Cluster can scale to handle over 1 billion updates per minute and discusses how operations like restarts have been improved in MySQL Cluster 7.4.1.
The document discusses MySQL Cluster and how it provides in-memory real-time performance, web scalability, and 99.999% availability. It then summarizes how PayPal, Big Fish, Alcatel-Lucent, and Playful Play use MySQL Cluster for mission critical applications that require high performance, scalability, and availability.
The document provides an overview of Oracle's MySQL product direction and strategy. It outlines Oracle's continued investment in MySQL through rapid innovation, improved support offerings, and making MySQL more reliable and scalable. New product releases and upcoming features are highlighted. Case studies showcase how major companies rely on MySQL for critical applications. Performance benchmarks demonstrate significant gains in MySQL 5.5. Key capabilities such as high availability, security, and scalability features in MySQL Enterprise Edition are summarized.
Oracle MySQL Tutorial -- MySQL NoSQL Cloud Buenos Aires Nov, 13 2014Manuel Contreras
The document discusses Oracle MySQL Enterprise Edition. It provides an overview of Oracle's investment and innovation in the MySQL ecosystem over the past 5 years. It then covers various features and components of MySQL Enterprise Edition including replication, storage engines, scalability, high availability, security, monitoring, backup and integration with Oracle technologies.
MySQL InnoDB Cluster - A complete High Availability solution for MySQLOlivier DASINI
MySQL InnoDB Cluster provides a complete high availability solution for MySQL. It uses MySQL Group Replication, which allows for multiple read-write replicas of a database to exist with synchronous replication. MySQL InnoDB Cluster also includes MySQL Shell for setup, management and orchestration of the cluster, and MySQL Router for intelligent connection routing. It allows databases to scale out writes across replicas in a fault-tolerant and self-healing manner.
The document discusses new features in MySQL 5.7 related to replication. It covers improvements to usability through online reconfiguration of global transaction IDs and replication filters. It also describes enhanced replication monitoring using performance schema tables and improved applier performance through locking-based parallelism. The agenda includes sections on replication features in 5.7, news from development, and future plans.
The document discusses performance improvements and new features in MySQL 5.7. Key points include:
- MySQL 5.7 shows significant performance gains over previous versions, with benchmarks showing 3x faster query performance and 82% faster connection throughput.
- New features include enhanced replication, a new optimizer cost model, performance schema improvements, and native JSON support.
- The optimizer and parser were refactored for improved maintainability, readability and stability. A new cost-based optimizer model provides better performance and tunability.
2015: Whats New in MySQL 5.7, At Oracle Open World, November 3rd, 2015 Geir Høydalsvik
MySQL 5.7 includes many new features and improvements such as faster performance, easier configuration and management, and enhanced security. It provides benefits like increased speed for queries, replication, and data compression as well as new capabilities for JSON data, spatial indexing, and instrumentation. Oracle presented benchmarks showing MySQL 5.7 is up to 6 times faster than previous versions.
Case Study: MySQL migration from latin1 to UTF-8Olivier DASINI
This document summarizes Olivier Dasini's presentation on migrating a MySQL database from the latin1 character set to UTF-8. Some key points:
- The migration involved converting database tables, columns, and data to the UTF-8 character set and UTF-8 collations to support non-Latin characters from around the world.
- Challenges included minimizing downtime to avoid loss of income, dealing with legacy data issues, and handling errors due to differences between character sets.
- The solution involved a rolling upgrade approach, with slaves being migrated first to test the process before a master-slave switchover.
- Significant effort was required to clean legacy data issues and handle errors manually
Mysql Enterprise Edition Feature and Tools jones4u
The document summarizes the features and capabilities of MySQL Enterprise Edition, which includes advanced features, management tools, and technical support to achieve high levels of scalability, security, reliability, and uptime for MySQL databases. It provides concise overviews of the various MySQL Enterprise Edition components and tools like the MySQL Database, MySQL Enterprise Monitor, MySQL Workbench, and Oracle Premier Support.
Moodle Moot Spain: Moodle Available and Scalable with MySQL HA - InnoDB Clust...Keith Hollman
This document provides an overview of MySQL high availability and replication solutions. It discusses InnoDB Cluster, which allows MySQL to provide high availability and scaling features through MySQL Group Replication, MySQL Shell, and MySQL Router. It also covers MySQL InnoDB ReplicaSet, which provides an easy way to set up MySQL replication with MySQL Router. Additionally, it provides background information on MySQL replication, how it works, and its key components.
MySQL Troubleshooting with the Performance SchemaSveta Smirnova
This document discusses using the Performance Schema in MySQL to troubleshoot performance issues. It provides an overview of the Performance Schema and what information it collects. It then discusses how to use specific Performance Schema tables like events_statements_history_long, events_stages_history_long, and others to identify statements that examine too many rows, issues with index usage, and which internal operations are taking a long time. The document provides examples of queries to run and what to look for in the Performance Schema output to help troubleshoot and optimize SQL statements.
Performance Schema in MySQL (Danil Zburivsky)Ontico
The document discusses the Performance Schema feature in MySQL 5.5, which instruments and collects data about internal operations to help identify performance bottlenecks. It is implemented as a storage engine that collects data about events like query execution steps, locks, I/O, and threads into tables that provide visibility into where the server spends its time. This helps address the lack of good instrumentation previously available in MySQL for performance tuning.
MySQL Performance - SydPHP October 2011Graham Weldon
A talk on optimisations around MySQL on the server side, and through the use of PHP extensions to reduce disk writes to provide for more IO access for MySQL. This was presented at SydPHP in October 2011
MySQL Tech Tour 2015 - Progettare, installare e configurare MySQL ClusterPar-Tec S.p.A.
Il TechAdvisor Mirko Conte spiega come progettare, installare e configurare MySQL Cluster, la versione di punta del database open source più utilizzato al mondo.
Durante la presentazione, Mirko ha condiviso numerose informazioni teoriche e pratiche per comprendere dove, come e quando utilizzare al meglio MySQL Cluster. In questa sessione ha trattato i seguenti punti:
- Valutare MySQL Cluster nel proprio progetto
- Esempi di architettura
- Requisiti hardware/network
- Sessione hands-on
Per saperne di più, scaricate le slide e guardate il video della presentazione del nostro TechAdvisor su http://www.par-tec.it/progettare-installare-gestire-e-ottimizzare-mysql-cluster#progettare
The document provides an overview of new replication features in MySQL 5.7, including:
1. Online reconfiguration of global transaction identifiers and replication filters which allow changing replication settings without restarting servers or interrupting reads/writes.
2. Online reconfiguration of replication receivers and appliers which enables changing the replication topology during failover without stopping applier threads.
3. Improved replication monitoring through new performance schema tables that provide more accurate and extensive monitoring of replication components.
This document provides 10 tips for optimizing MySQL database performance at the operating system level. The tips include using SSDs instead of HDDs for faster I/O, allocating large amounts of memory, avoiding swap space, keeping the MySQL version up to date, using file systems without barriers, configuring RAID cards for write-back caching, and leveraging huge pages. Overall, the tips aim to improve I/O speeds and memory usage to enhance MySQL query processing performance.
MySQL Developer Day conference: MySQL Replication and ScalabilityShivji Kumar Jha
The slide deck contains the latest developments in MySQL Replication. It covers:
- An introduction to MySQL Replication
- Scaling with Multi-threaded slaves
- Data aggregation with Multi-source replication
- Lossless failover with semi-synchronous replication
- Replication Monitoring made easier
Performance Schema for MySQL TroubleshootingSveta Smirnova
The Performance Schema in MySQL provides tables and instruments for troubleshooting issues like locks, I/O bottlenecks, slow queries, memory usage, and replication failures. It contains over 500 instruments in MySQL 5.6 and over 800 in 5.7. The tables provide visibility into the internal workings of MySQL to analyze and optimize performance.
This document summarizes MySQL's monitoring mechanisms and how they have evolved over time. It discusses tools like SHOW statements, INFORMATION_SCHEMA, slow/general query logs, and EXPLAIN that provided limited visibility in past versions. MySQL 5.5 introduced the Performance Schema framework for detailed instrumentation. Subsequent versions have expanded instrumentation to provide more developer-focused statistics on statements, stages, I/O, locks and more. New INFORMATION_SCHEMA tables in 5.6 provide additional InnoDB statistics on data dictionary, buffer pool, transactions and compression. The optimizer trace exposes query transformations. Enhanced EXPLAIN now supports more statement types and future improvements will provide a structured EXPLAIN output.
The slde contains an introduction to the global transaction identifiers(GTIDs) in MySQL Replication. The new protocol at re-connect, skipping transactions with GTIDS, replication filters, purging logs, backup/restore ets are covered here.
MySQL Group Replication is a plugin that enables multi-master replication. It allows any server in the replication group to accept writes and provides automatic recovery from failures or new servers joining. It uses message passing and conflict detection to keep all servers in sync. The plugin manages the distributed transaction execution and recovery process.
Performance Schema for MySQL TroubleshootingSveta Smirnova
Percona Live (https://www.percona.com/live/data-performance-conference-2016/sessions/performance-schema-mysql-troubleshooting)
The performance schema in MySQL version 5.6, released in February, 2013, is a very powerful tool that can help DBAs discover why even the trickiest performance issues occur. Version 5.7 introduces even more instruments and tables. And while all these give you great power, you can get stuck choosing which instrument to use.
In this session, I will start with a description of a typical problem, then guide you how to use the performance schema to find out what causes the issue, the reason for unwanted behavior and how the received information can help you solve a particular problem.
Traditionally, performance schema sessions teach what is in contained in tables. I will, in contrast, start from a performance issue, then demonstrate which instruments and tables can help solve it. We will discuss how to setup the performance schema so that it has minimal impact on your server.
This document discusses the Performance Schema in MySQL, which records instrumentation data to help profile and monitor database activity. It provides an overview of the Performance Schema's components and tables, how it has evolved between MySQL versions to include more metrics and functionality, and examples of how to query the tables to analyze wait events, statements, stages and other performance data.
This document provides an overview of MySQL high availability solutions including InnoDB Cluster and NDB Cluster. InnoDB Cluster allows setting up a highly available MySQL cluster with auto-sharding using Group Replication and MySQL Router for transparent application routing. NDB Cluster is a memory-optimized database for low-latency applications requiring high scalability and availability. MySQL Shell provides a unified interface for deploying, managing and monitoring these MySQL HA solutions.
MySQL 5.7 New Features for Developers session for DOAG (Oracle user group conference) in 2016. A similar version was also presented in Israel MySQL User Group on November 2016.
This presentation review new features in MySQL 5.7: Optimizer, InnoDB engine, JSON native data type, performance and sys schemas
This document provides an overview of MySQL query optimization. It discusses MySQL features like storage engines, InnoDB, and indexing. It explains that query optimization is important for performance as data grows. Techniques like explaining query plans, indexing, and rewriting queries to make better use of indexes can improve query performance by 10-100 times. The document includes examples of indexing, query rewriting, and using EXPLAIN plans.
FOSDEM 2015 - NoSQL and SQL the best of both worldsAndrew Morgan
This document discusses the benefits and limitations of both SQL and NoSQL databases. It argues that while NoSQL databases provide benefits like simple data formats and scalability, relying solely on them can result in data duplication and inconsistent data when relationships are not properly modeled. The document suggests that MySQL Cluster provides a hybrid approach, allowing both SQL queries and NoSQL interfaces while ensuring ACID compliance and referential integrity through its transactional capabilities and handling of foreign keys.
MySQL is a SQL database that also does NoSQL. You can access data in the InnoDB or NDB storage engines as a key/value pair at amazing speeds while retaining simultaneous SQL access of the same data. Plus MySQL 5.7 features a new native JSON data type
2018: State of the Dolphin, MySQL Keynote at Percona Live Europe 2018, Frankf...Geir Høydalsvik
This document provides an overview of new features in MySQL 8.0, including a NoSQL document store with JSON support, common table expressions and window functions for SQL, and InnoDB Cluster for high availability. It also describes improvements to MySQL NDB Cluster 8.0 for handling large datasets and many nodes. The MySQL Shell is highlighted as a tool for rapid prototyping, DevOps operations, and managing InnoDB Cluster configurations.
The document discusses MySQL 5.7 which integrates both SQL and NoSQL capabilities. It provides instructions for a workshop on using MySQL Shell to interact with MySQL 5.7 and its document store functionality. The workshop covers installing the MySQL X Plugin, loading sample data, querying and modifying collections and tables, and handling errors.
Breakthrough performance with MySQL Cluster (2012)Frazer Clement
Presentation from the MySQL Connect conference in San Francisco 2012.
Describes cluster architecture and impacts on performance, benchmarking, analysing and techniques for improving performance.
An outline on why the MySQL 8 release is viewed as a gamechanger with a look at some of the new features like CTEs, Window Functions, MySQL InnoDB Cluster, Enterprise Data Masking, and more
Narayan Newton presented on recent developments in MySQL. He discussed how MySQL has fragmented into several variants including MariaDB, PerconaDB, and Drizzle. He provided details on improvements in Oracle MySQL 5.5 and 5.6, Percona Server, and MariaDB including new features like virtual and dynamic columns. Newton also covered optimization improvements and clustering options like Percona Cluster, MySQL Cluster, and Drizzle.
MySQL Goes to 8! FOSDEM 2020 Database Track, January 2nd, 2020Geir Høydalsvik
Here are the basic steps to clone a MySQL instance using the new CLONE command directly from SQL:
1. Connect to the source instance you want to clone from.
2. Issue the CLONE statement to create a new instance from the source. For example:
CLONE INSTANCE FROM 'mysql://user:password@source_host:3306/' TO 'mysql://user:password@target_host:3306/';
3. The clone operation will copy over the data files, redo logs and configuration from the source to the target instance.
4. Once complete, the new cloned instance is ready for use as a read replica or independent instance as needed.
By automating the provisioning
This document provides a high-level summary of a MySQL crash course presentation. It begins with basic introductions of the presenter and intended audience. The session agenda then outlines topics to be covered, including Oracle's investment in MySQL, a high-level overview of MySQL concepts, and familiarization with key concepts. Some of the concepts discussed include MySQL terminology, components, storage engines, partitioning, replication, backups, and security/privileges. Slides include explanations, visual diagrams, and references for further information.
MySQL 8.0 introduces several new features for working with documents and data including:
1) Native support for JSON documents and collections with key-value semantics to allow storing, retrieving, and searching JSON documents.
2) A new MySQL Shell application with JavaScript, Python, and SQL modes to interact with document and relational data.
3) X DevAPI connectors for various languages that support CRUD operations on both document and relational data within MySQL in a unified way.
4) The MySQL document store fully supports ACID transactions for reliability while allowing both schemaless and schema-based development.
Developers’ mDay 2021: Bogdan Kecman, Oracle – MySQL nekad i sadmCloud
The document summarizes the evolution of MySQL from its first release in 1995 to version 8.0 released in 2018. It highlights key features and functionality added over time, including improved performance, Unicode support, spatial data types, window functions, common table expressions, and high availability solutions. The document also briefly mentions Oracle's HeatWave and ColumnStore technologies for handling OLAP/OLTP workloads on MySQL.
This document provides a high-level overview and introduction to key concepts in MySQL. It discusses Oracle's investment in MySQL, including numerous product releases. Some key concepts covered include MySQL architecture, storage engines, partitioning, replication, backups and security best practices. The document aims to familiarize audiences with the fundamentals of MySQL.
MySQL 8.0 New Features -- September 27th presentation for Open Source SummitDave Stokes
MySQL 8.0 has many new features that you probably need to know about but don't. Like default security, window functions, CTEs, CATS (not what you think), JSON_TABLE(), and UTF8MB4 support.
To most developers, the database is an afterthought. You're using an ORM to write your queries for you, migrations to build your schema for you, and the cloud to run your infrastructure for you. Once you get beyond the prototype stage, however, you need to either befriend your DBA or become one yourself by using SQL Server (and Azure SQL Database) like a professional. This session is targeted to developers, and is a broad-yet-shallow look at tools, techniques, and tips to up your SQL game. Be sure to take notes, as this is a launching point for you to learn more rather than a deep dive into one topic. Primarily the Microsoft stack will be used, although users of other RDBMSes and languages may be interested in attending. Topics covered include intermediate-to-advanced T-SQL language features, query tuning, numerous tool recommendations, advanced Entity Framework use, and Azure SQL Database features. I will also be around the conference after the session to discuss topics in more depth.
This document discusses implementing MySQL Cluster in the cloud. It begins by introducing the speaker and their experience with MySQL Cluster. It then covers choosing the appropriate Amazon EC2 instance type based on memory, CPU and disk requirements. Specific topics discussed include setting up MySQL Cluster across multiple EC2 instances, configuring EBS volumes in a RAID configuration, and defining cluster parameters like data memory, fragment size and number of log files. The document aims to provide practical guidance for deploying MySQL Cluster in AWS.
The document discusses best practices for putting databases under source control. It recommends (1) checking in database schemas, reference data, and migration scripts into source control for revision history and merge conflict resolution. It also recommends (2) implementing continuous integration and deployment pipelines to automate database builds and deployments from source control to target environments. Key tools mentioned include SQL Source Control from Redgate for source control and SQL Compare/Data Compare for schema and data synchronization.
Oracle's strategy for MySQL is to make it a complete, open, and integrated part of their product portfolio. Key points include continued investment in MySQL to improve performance, scalability, and integration with other Oracle products. MySQL 5.5 offers significant performance gains over previous versions.
Oracle's strategy for MySQL is to make it a complete, open, and integrated part of their product portfolio. Key points include continued investment in MySQL to improve performance, scalability, and integration with other Oracle products. MySQL 5.5 offers significant performance gains over previous versions.
The presentation introduces SQLCLR, which allows developers to write .NET code in SQL Server 2005. It discusses developing and managing SQLCLR applications, monitoring performance, and best practices. SQLCLR enables rich functionality within the database by running .NET code, but requires careful management to avoid potential security and performance issues. The speaker demonstrates examples using SQLCLR for string manipulation and custom aggregates.
Batch to near-realtime: inspired by a real production incidentShivji Kumar Jha
This slide deck was used for the platformatory streams meetup in Bengaluru on July 7, 2024.
This is a real world account from an Apache Druid cluster in production. A story of 48 hours of debugging, learning and understanding batch vs stream better, filing a couple of issues in Druid open source projects and finally a stable production pipeline again thanks to the Druid community. We will discuss what parts of your design could be impacted, how you should change the related systems so the cascading failures don’t bring down your complete production availability. As an example, we will discuss the bottlenecks we had in overlord, slot issues for Peons in middle managers, coordinator bottlenecks, how to mitigated task and segment flooding, what configs we changed sprinkled with real world numbers and snapshots from our Grafana dashboards.
Finally we will list all the leanings and how we made sure we never repeat the same mistakes in production systems.
Navigating Transactions: ACID Complexity in Modern DatabasesShivji Kumar Jha
Transactions are anything but straightforward, with each database vendor offering its unique interpretation of the term. By scrutinising the internal architectures of these databases, engineers can gain valuable insights, enabling them to write more stable applications.This talk explores the intricacies of transactions, focusing on modern databases. Delving into distributed transactions, we discuss network challenges and cloud deployments in the contemporary era. The session provides a concise examination of the internal architectures of cloud-scale, multi-tenant databases such as Spanner, DynamoDB, and Amazon Aurora.
Druid Summit 2023 : Changing Druid Ingestion from 3 hours to 5 minutesShivji Kumar Jha
This is a real world account from a Druid cluster in production. A story of 48 hours of debugging, learning and understanding Druid better, filing a couple of issues in Druid github and finally a stable production pipeline again thanks to the Druid community.
We will discuss the bottlenecks we had in overlord, slot issues for Peons in middle managers, coordinator bottlenecks, how we mitigated task and segment flooding, what configs we changed sprinkled with real world numbers and snapshots from our grafana dashboards.
In this slide deck, we go exploring the database landscape today and the common lego blocks that are used to build these different falvours of databses. We will dive through internals of a database, explore some choices and towards the end also explore some real world database architectures in view of the concepts (legos) we explored earlier.
This document provides an overview of Apache Pulsar:
- It introduces Apache Pulsar and shares some stats on its adoption and contributors.
- It describes Pulsar's architecture including brokers, Zookeeper, BookKeeper, topics, and subscribers.
- It explains how Pulsar stores data across tenants, namespaces, bundles, ledgers and topics to enable features like multi-tenancy, load balancing, and geo-replication.
Pulsar Summit Asia 2022 - Streaming wars and How Apache Pulsar is acing the b...Shivji Kumar Jha
This presentation will cover why we prefer Apache Pulsar over other streaming solutions. Given the streaming requirements of near-realtime action, scalability, high availability, disaster recovery, load balancing, low cost of operations, multi-tenancy and flexibility to fit a variety of use cases, we have run kafka, kinesis and NATS Jetstream across different use cases. And we chose Apache Pulsar as our platform of choice for cloud-native messaging.
This talk presents the operational challenges we have faced running Pulsar for over 4 years and how Pulsar fit into different use cases given its multi-tenancy and configurability. We will also talk about how we have aced these challenges to stick to pulsar and even moved application from other messaging solutions to Pulsar. We will end with the challenges and learnings on moving to Pulsar from Kafka and Kinesis.
After this session, you will learn more on common messaging requirements, why you should also choose Apache Pulsar as your platform of choice and how you can safely transition to Pulsar if you have been running other messaging solutions.
Pulsar Summit Asia 2022 - Keeping on top of hybrid cloud usage with PulsarShivji Kumar Jha
This presentation will cover how we force controls on an application over a hybrid cloud infrastructure built from a combination of different clouds that could include private and public clouds. For instance, you could deploy your microservice in AWS but use BigTable as your data store.
Every cloud or on-premise infrastructure provider provides monitoring, alerting, metering, audit trail etc. In a hybrid cloud use case, the IT team needs a single view of the usage across the cloud providers. Such a platform needs to combine the data sourcing of these utilities from different infrastructure providers, parse them into a common format and build an integrated data sink. Adding to it the challenge of each data source evolving its data formats, volume, velocity, throughput, latency etc. You have a challenging task to understand data from varied sources and present it in one view.
We will present an architecture that has been battle-tested in production for over five years. The components include Pulsar, Flink, PostgreSQL, Redis, Neo4J DB, rule/ML engine etc., to name a few technologies.
After this presentation, you will learn more about
1. Combining infrastructure from multiple clouds and on-premise providers to build your application.
2. Appreciate the need for lambda architecture.
3. How to stream ever-evolving multi-schema data using pulsar
4. How to write custom rules over a stream analytics framework to make your application.
Pulsar summit asia 2021: Designing Pulsar for IsolationShivji Kumar Jha
This document discusses isolation in Apache Pulsar. It introduces the presenters as experts in distributed systems and the Pulsar open source project. It then outlines ways to isolate resources in Pulsar like brokers, bookies, and clusters to separate namespaces and tenants. The key methods covered are namespace isolation policies, failure domains, anti-affinity groups, and bookie affinity groups. It provides examples of how these are configured and allows scaling resources up and down independently per namespace. Finally, it invites questions and provides contact details.
Event sourcing Live 2021: Streaming App Changes to Event StoreShivji Kumar Jha
This document discusses streaming app changes to event stores. It covers change data capture (CDC) which involves identifying, capturing, and delivering changes made to data. CDC can be done by capturing events from app code or by tailing database transaction logs. Capturing from app code provides flexibility but requires extra code, while capturing from databases is easier to control but depends on database log formats. The document also discusses using event stores for data warehouses, data lakes, CQRS patterns, and hybrid transactional/analytical processing (HTAP) databases.
Type safety is extremely important in any application built around a stream / queue. Type definition and evolution can either be built in the application or relied upon the data layer to support it out of the box allowing the application to only concentrate on business logic, not how of data store and evolution. It is this property of the good old relational databases (among others) that make them a favourite among all the modern NoSQL databases. Modern software architectures requires asynchronous communication (via stream / queue). While the data store and query design changes with asynchronous communication, type safety is still equally important.
In this slide deck, used for Apache Con 2021 talk, we will go over ways in which one can force structure (schema) over the streaming data. As an example, we will talk about Apache Pulsar. Apache pulsar offers server as well as client side support for the structured streaming. We have been using pulsar for asynchronous communication among microservices in our nutanix beam and flow security central apps for over 1.5 years in production. This deck presents the technical details on what is schema, how to represent schema, what is available in the apache pulsar server and client side, how we have used pulsar’s schema support to build our use cases and our learnings from them.
Apache Con 2021 : Apache Bookkeeper Key Value Store and use casesShivji Kumar Jha
In order to leverage the best performance characters of your data or stream backend, it is important to understand the nitty gritty details of how your backend store and compute works, how data is stored, how is it indexed and how the read path is. Understanding this empowers you to design your use case solutioning so as to make the best use of resources at hand as well as get the optimum amount of consistency, availability, latency and throughput for a given amount of resources at hand.
With this underlying philosophy, in this slide deck, we will get to the bottom of storage tier of pulsar (apache bookkeeper), the barebones of the bookkeeper storage semantics, how it is used in different use cases ( even other than pulsar), understand the object models of storage in pulsar, different kinds of data structures and algorithms pulsar uses therein and how that maps to the semantics of the storage class shipped with pulsar by default. Oh yes, you can change the storage backend too with some additional code!
The focus will be more on storage backend so as to not keep this tailored to pulsar specifically but to be able to apply it different data stores or streams.
How pulsar stores data at Pulsar-na-summit-2021.pptx (1)Shivji Kumar Jha
In order to leverage the best performance characters of your stream backend, it is important to understand the nitty gritty details of how pulsar stores your data. Understanding this empowers you to design your use case solutioning so as to make the best use of resources at hand as well as get the optimum amount of consistency, availability, latency and throughput for a given amount of resources at hand.
With this underlying philosophy, in this talk, we will get to the bottom of storage tier of pulsar (apache bookkeeper), the barebones of the bookkeeper storage semantics, how it is used in different use cases ( even other than pulsar), understand the object models of storage in pulsar, different kinds of data structures and algorithms pulsar uses therein and how that maps to the semantics of the storage class shipped with pulsar by default. Oh yes, you can change the storage backend too with some additional code!
This session will empower you with the right background to map your data right with pulsar.
Pulsar Summit Asia - Structured Data Stream with Apache PulsarShivji Kumar Jha
This document discusses Apache Pulsar schemas. It begins with background on Pulsar, serialization, and schema evolution. It then discusses the benefits of using schemas with Pulsar, including different schema types like primitive, JSON, and Avro schemas. It describes how Pulsar uses a schema registry to store schemas on the server side rather than client side. Key learnings are to use structured schemas like Avro to model domain objects, consider compatibility and ordering when designing topics, and manage schemas through a code review process. The document provides references for further reading on Pulsar schemas and schema evolution.
Pulsar Summit Asia - Running a secure pulsar clusterShivji Kumar Jha
This document provides an overview of securing Apache Pulsar. It discusses securing the different cluster components like Zookeeper, Bookkeeper and brokers. It describes how to enable TLS for securing communication between these components. It also covers setting up TLS, keystores and truststores for brokers and clients. The document references Pulsar and Zookeeper documentation for more details on configuring security.
Having used apache pulsar in production for an year for our pub sub use cases such as stream analytics, event sourcing etc, this slide deck presents the lesson learned per se understanding the architecture, tuning the cluster, managing to keep it highly available and fault tolerant and much more.
While the slides are presented in terms of apache pulsar, a lot of the concepts can be easily extended to a lot of distributed systems.
The views here are my own and do not represent the view of nutanix corporation.
MySQL High Availability with Replication New FeaturesShivji Kumar Jha
The session was presented at open source India 2014 (http://osidays.com/osidays/) by Shivji (me) and Manish Kumar. It talks of the new features in MySQL-5.7 Replication. It covered work on
1) performance enhancements in MySQL Replication
2) Usability improvements
3) More flexibility to provide more options to our users so
they can chose what is best for their application.
4) Semisynchronous and MySQL Group Replication
At then end, there are a lot of links to the blogs written on these features by the MySQL Replication engineers.
The agenda of this talk was to introduce MySQL Replication and then follow it up with Multi-threaded slaves(MTS) support. The presentation introduces Multi threading slaves by database which is a part of MySQL-5.6 as well as multi-threading policy introduced in MySQL-5.7.2. Finally there is a brief coverage of the new replication monitoring tables to monitor MySQL Replication. These tables are part of MySQL Performance Schema.
Welcome to Cyberbiosecurity. Because regular cybersecurity wasn't complicated...Snarky Security
How wonderful it is that in our modern age, every bit of our biological data can be digitized, stored, and potentially pilfered by cyber thieves! Isn't it just splendid to think that while scientists are busy pushing the boundaries of biotechnology, hackers could be plotting the next big bio-data heist? This delightful scenario is brought to you by the ever-expanding digital landscape of biology and biotechnology, where the integration of computer science, engineering, and data science transforms our understanding and manipulation of biological systems.
While the fusion of technology and biology offers immense benefits, it also necessitates a careful consideration of the ethical, security, and associated social implications. But let's be honest, in the grand scheme of things, what's a little risk compared to potential scientific achievements? After all, progress in biotechnology waits for no one, and we're just along for the ride in this thrilling, slightly terrifying, adventure.
So, as we continue to navigate this complex landscape, let's not forget the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. After all, what could possibly go wrong?
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This document provides a comprehensive analysis of the security implications biological data use. The analysis explores various aspects of biological data security, including the vulnerabilities associated with data access, the potential for misuse by state and non-state actors, and the implications for national and transnational security. Key aspects considered include the impact of technological advancements on data security, the role of international policies in data governance, and the strategies for mitigating risks associated with unauthorized data access.
This view offers valuable insights for security professionals, policymakers, and industry leaders across various sectors, highlighting the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. The analysis serves as a crucial resource for understanding the complex dynamics at the intersection of biotechnology and security, providing actionable recommendations to enhance biosecurity in an digital and interconnected world.
The evolving landscape of biology and biotechnology, significantly influenced by advancements in computer science, engineering, and data science, is reshaping our understanding and manipulation of biological systems. The integration of these disciplines has led to the development of fields such as computational biology and synthetic biology, which utilize computational power and engineering principles to solve complex biological problems and innovate new biotechnological applications. This interdisciplinary approach has not only accelerated research and development but also introduced new capabilities such as gene editing and biomanufact
Choosing the Best Outlook OST to PST Converter: Key Features and Considerationswebbyacad software
When looking for a good software utility to convert Outlook OST files to PST format, it is important to find one that is easy to use and has useful features. WebbyAcad OST to PST Converter Tool is a great choice because it is simple to use for anyone, whether you are tech-savvy or not. It can smoothly change your files to PST while keeping all your data safe and secure. Plus, it can handle large amounts of data and convert multiple files at once, which can save you a lot of time. It even comes with 24*7 technical support assistance and a free trial, so you can try it out before making a decision. Whether you need to recover, move, or back up your data, Webbyacad OST to PST Converter is a reliable option that gives you all the support you need to manage your Outlook data effectively.
Keynote : AI & Future Of Offensive SecurityPriyanka Aash
In the presentation, the focus is on the transformative impact of artificial intelligence (AI) in cybersecurity, particularly in the context of malware generation and adversarial attacks. AI promises to revolutionize the field by enabling scalable solutions to historically challenging problems such as continuous threat simulation, autonomous attack path generation, and the creation of sophisticated attack payloads. The discussions underscore how AI-powered tools like AI-based penetration testing can outpace traditional methods, enhancing security posture by efficiently identifying and mitigating vulnerabilities across complex attack surfaces. The use of AI in red teaming further amplifies these capabilities, allowing organizations to validate security controls effectively against diverse adversarial scenarios. These advancements not only streamline testing processes but also bolster defense strategies, ensuring readiness against evolving cyber threats.
Improving Learning Content Efficiency with Reusable Learning ContentEnterprise Knowledge
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas conference on June 13th, 2024.
This presentation explored the basics of reusable learning content, including the types of reuse and the key benefits of reuse such as improved content maintenance efficiency, reduced organizational risk, and scalable differentiated instruction & personalization. After this primer on reuse, Crockett laid out the basic steps to start building reusable learning content alongside a real-life example and the technology stack needed to support dynamic content. Key objectives included:
- Be able to explain the difference between reusable learning content and duplicate content
- Explore how a well-designed learning content model can reduce duplicate content and improve your team’s efficiency
- Identify key tasks and steps in creating a learning content model
Mastering OnlyFans Clone App Development: Key Strategies for SuccessDavid Wilson
Dive into the critical elements of OnlyFans clone app development, from understanding user needs and designing engaging platforms to implementing robust monetization strategies and ensuring scalability. Discover how RichestSoft can guide you through the development process, offering expert insights and proven strategies to help you succeed in the competitive market of content monetization.
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
"Making .NET Application Even Faster", Sergey Teplyakov.pptxFwdays
In this talk we're going to explore performance improvement lifecycle, starting with setting the performance goals, using profilers to figure out the bottle necks, making a fix and validating that the fix works by benchmarking it. The talk will be useful for novice and seasoned .NET developers and architects interested in making their application fast and understanding how things work under the hood.
Connector Corner: Leveraging Snowflake Integration for Smarter Decision MakingDianaGray10
The power of Snowflake analytics enables CRM systems to improve operational efficiency, while gaining deeper insights into closed/won opportunities.
In this webinar, learn how infusing Snowflake into your CRM can quickly provide analysis for sales wins by region, product, customer segmentation, customer lifecycle—and more!
Using prebuilt connectors, we’ll show how workflows using Snowflake, Salesforce, and Zendesk tickets can significantly impact future sales.
2. Safe Harbour Statement
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It is not a commitment to deliver any
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3. Agenda
• Introduction to MySQL Cluster
• Working with Cluster tables
• Cluster Nodes
• Architecture
• Auto-sharding
• Failover
4. Introduction to MySQL Cluster
• Distributed transactional database
• In-memory storage
• Auto-sharding
• Shared-nothing architecture
• Automatic failover and recovery
• Runs on commodity hardware
• SQL + NoSQL interfaces
6. Cluster Nodes
•Data Nodes
•Store cluster data
•Data partitioned + replicated across many data nodes
•ndbd (single-threaded) or ndbmtd (multi-threaded)
•SQL Nodes
•Access cluster data by querying data nodes
•SQL + NoSQL
•mysqld
•Management Nodes
•Manage other nodes
•Config, startup, shutdown, backup etc.
•ndb_mgmd