This document discusses deploying MariaDB for high availability on Google Cloud Platform. It presents two solutions: 1) a MariaDB Galera cluster within a single GCP region, and 2) asynchronous multi-master replication across regions using Orchestrator for automated failover. It describes using ProxySQL or MaxScale for read/write splitting and Consul for coordinating configuration updates between Orchestrator and proxies during failovers.
Faster, better, stronger: The new InnoDBMariaDB plc
For MariaDB Enterprise Server 10.5, the default transactional storage engine, InnoDB, has been significantly rewritten to improve the performance of writes and backups. Next, we removed a number of parameters to reduce unnecessary complexity, not only in terms of configuration but of the code itself. And finally, we improved crash recovery thanks to better consistency checks and we reduced memory consumption and file I/O thanks to an all new log record format.
In this session, we’ll walk through all of the improvements to InnoDB, and dive deep into the implementation to explain how these improvements help everything from configuration and performance to reliability and recovery.
Devrim Gunduz gives a presentation on Write-Ahead Logging (WAL) in PostgreSQL. WAL logs all transactions to files called write-ahead logs (WAL files) before changes are written to data files. This allows for crash recovery by replaying WAL files. WAL files are used for replication, backup, and point-in-time recovery (PITR) by replaying WAL files to restore the database to a previous state. Checkpoints write all dirty shared buffers to disk and update the pg_control file with the checkpoint location.
Quick-Start Guide: Deploying Your Cloudian HyperStore Hybrid Storage ServiceCloudian
This document will help a new user deploy a 3-node Cloudian storage cluster in your data center for use with the Cloudian HyperStore Hybrid Cloud Service from AWS Marketplace.
Practical advices how to achieve persistence in Redis. Detailed overview of all cons and pros of RDB snapshots and AOF logging. Tips and tricks for proper persistence configuration with Redis pools and master/slave replication.
Monitoring IO performance with iostat and pt-diskstatsBen Mildren
iostat is a tool for monitoring input/output performance on Linux systems. It provides reports on CPU utilization and device utilization, including metrics like read/write operations per second, throughput, and latency for block devices. The tool can display statistics since system startup or for a specified time interval, and supports standard or extended output formats to include additional metrics on request and queue lengths and service times.
Best practices for MySQL/MariaDB Server/Percona Server High AvailabilityColin Charles
Best practices for MySQL/MariaDB Server/Percona Server High Availability - presented at Percona Live Amsterdam 2016. The focus is on picking the right High Availability solution, discussing replication, handling failure (yes, you can achieve a quick automatic failover), proxies (there are plenty), HA in the cloud/geographical redundancy, sharding solutions, how newer versions of MySQL help you, and what to watch for next.
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEOAltinity Ltd
- The document summarizes a presentation about ClickHouse, an open source column-oriented database management system.
- It discusses how ClickHouse stores and indexes data to enable fast queries, how it scales horizontally across servers, and how different engines like MergeTree and ReplicatedMergeTree allow for high performance and fault tolerance.
- Examples are provided showing how ClickHouse can quickly analyze large datasets with SQL and optimize queries using its features like distributed processing, partitioning, and specialized functions.
Storing State Forever: Why It Can Be Good For Your AnalyticsYaroslav Tkachenko
State is an essential part of the modern streaming pipelines: it enables a variety of foundational capabilities like windowing, aggregation, enrichment, etc. But usually, the state is either transient, so we only keep it until the window is closed, or it's fairly small and doesn't grow much. But what if we treat the state differently? The keyed state in Flink can be scaled vertically and horizontally, it's reliable and fault-tolerant... so is scaling a stateful Flink application that different from scaling any data store like Kafka or MySQL?
At Shopify, we've worked on a massive analytical data pipeline that's needed to support complex streaming joins and correctly handle arbitrarily late-arriving data. We came up with an idea to never clear state and support joins this way. We've made a successful proof of concept, ingested all historical transactional Shopify data and ended up storing more than 10 TB of Flink state. In the end, it allowed us to achieve 100% data correctness.
Faster, better, stronger: The new InnoDBMariaDB plc
For MariaDB Enterprise Server 10.5, the default transactional storage engine, InnoDB, has been significantly rewritten to improve the performance of writes and backups. Next, we removed a number of parameters to reduce unnecessary complexity, not only in terms of configuration but of the code itself. And finally, we improved crash recovery thanks to better consistency checks and we reduced memory consumption and file I/O thanks to an all new log record format.
In this session, we’ll walk through all of the improvements to InnoDB, and dive deep into the implementation to explain how these improvements help everything from configuration and performance to reliability and recovery.
Devrim Gunduz gives a presentation on Write-Ahead Logging (WAL) in PostgreSQL. WAL logs all transactions to files called write-ahead logs (WAL files) before changes are written to data files. This allows for crash recovery by replaying WAL files. WAL files are used for replication, backup, and point-in-time recovery (PITR) by replaying WAL files to restore the database to a previous state. Checkpoints write all dirty shared buffers to disk and update the pg_control file with the checkpoint location.
Quick-Start Guide: Deploying Your Cloudian HyperStore Hybrid Storage ServiceCloudian
This document will help a new user deploy a 3-node Cloudian storage cluster in your data center for use with the Cloudian HyperStore Hybrid Cloud Service from AWS Marketplace.
Practical advices how to achieve persistence in Redis. Detailed overview of all cons and pros of RDB snapshots and AOF logging. Tips and tricks for proper persistence configuration with Redis pools and master/slave replication.
Monitoring IO performance with iostat and pt-diskstatsBen Mildren
iostat is a tool for monitoring input/output performance on Linux systems. It provides reports on CPU utilization and device utilization, including metrics like read/write operations per second, throughput, and latency for block devices. The tool can display statistics since system startup or for a specified time interval, and supports standard or extended output formats to include additional metrics on request and queue lengths and service times.
Best practices for MySQL/MariaDB Server/Percona Server High AvailabilityColin Charles
Best practices for MySQL/MariaDB Server/Percona Server High Availability - presented at Percona Live Amsterdam 2016. The focus is on picking the right High Availability solution, discussing replication, handling failure (yes, you can achieve a quick automatic failover), proxies (there are plenty), HA in the cloud/geographical redundancy, sharding solutions, how newer versions of MySQL help you, and what to watch for next.
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEOAltinity Ltd
- The document summarizes a presentation about ClickHouse, an open source column-oriented database management system.
- It discusses how ClickHouse stores and indexes data to enable fast queries, how it scales horizontally across servers, and how different engines like MergeTree and ReplicatedMergeTree allow for high performance and fault tolerance.
- Examples are provided showing how ClickHouse can quickly analyze large datasets with SQL and optimize queries using its features like distributed processing, partitioning, and specialized functions.
Storing State Forever: Why It Can Be Good For Your AnalyticsYaroslav Tkachenko
State is an essential part of the modern streaming pipelines: it enables a variety of foundational capabilities like windowing, aggregation, enrichment, etc. But usually, the state is either transient, so we only keep it until the window is closed, or it's fairly small and doesn't grow much. But what if we treat the state differently? The keyed state in Flink can be scaled vertically and horizontally, it's reliable and fault-tolerant... so is scaling a stateful Flink application that different from scaling any data store like Kafka or MySQL?
At Shopify, we've worked on a massive analytical data pipeline that's needed to support complex streaming joins and correctly handle arbitrarily late-arriving data. We came up with an idea to never clear state and support joins this way. We've made a successful proof of concept, ingested all historical transactional Shopify data and ended up storing more than 10 TB of Flink state. In the end, it allowed us to achieve 100% data correctness.
Talk for AWS re:Invent 2014. Video: https://www.youtube.com/watch?v=7Cyd22kOqWc . Netflix tunes Amazon EC2 instances for maximum performance. In this session, you learn how Netflix configures the fastest possible EC2 instances, while reducing latency outliers. This session explores the various Xen modes (e.g., HVM, PV, etc.) and how they are optimized for different workloads. Hear how Netflix chooses Linux kernel versions based on desired performance characteristics and receive a firsthand look at how they set kernel tunables, including hugepages. You also hear about Netflix’s use of SR-IOV to enable enhanced networking and their approach to observability, which can exonerate EC2 issues and direct attention back to application performance.
This is the presentation delivered by Karthik.P.R at MySQL User Camp Bangalore on 09th June 2017. ProxySQL is a high performance MySQL Load Balancer Designed to scale database servers.
Salvatore Sanfilippo – How Redis Cluster works, and why - NoSQL matters Barce...NoSQLmatters
Salvatore Sanfilippo – How Redis Cluster works, and why
In this talk the algorithmic details of Redis Cluster will be exposed in order to show what were the design tensions in the clustered version of an high performance database supporting complex data type, the selected tradeoffs, and their effect on the availability and consistency of the resulting solution.Other non-chosen solutions in the design space will be illustrated for completeness.
ClickHouse Query Performance Tips and Tricks, by Robert Hodges, Altinity CEOAltinity Ltd
1. ClickHouse uses a MergeTree storage engine that stores data in compressed columnar format and partitions data into parts for efficient querying.
2. Query performance can be optimized by increasing threads, reducing data reads through filtering, restructuring queries, and changing the data layout such as partitioning strategy and primary key ordering.
3. Significant performance gains are possible by optimizing the data layout, such as keeping an optimal number of partitions, using encodings to reduce data size, and skip indexes to avoid unnecessary I/O. Proper indexes and encodings can greatly accelerate queries.
The Linux Block Layer - Built for Fast StorageKernel TLV
The arrival of flash storage introduced a radical change in performance profiles of direct attached devices. At the time, it was obvious that Linux I/O stack needed to be redesigned in order to support devices capable of millions of IOPs, and with extremely low latency.
In this talk we revisit the changes the Linux block layer in the
last decade or so, that made it what it is today - a performant, scalable, robust and NUMA-aware subsystem. In addition, we cover the new NVMe over Fabrics support in Linux.
Sagi Grimberg
Sagi is Principal Architect and co-founder at LightBits Labs.
This document summarizes the key features and changes between versions of Fluentd, an open source data collector.
The main points are:
1) Fluentd v1.0 will provide stable APIs and features while remaining compatible with v0.12 and v0.14. It will have no breaking API changes.
2) New features in v0.14 and v1.0 include nanosecond time resolution, multi-core processing, Windows support, improved buffering and plugins, and more.
3) The goals for v1.0 include migrating more plugins to the new APIs, addressing issues, and improving documentation. A release is planned for Q2 2017.
Network Setup Guide: Deploying Your Cloudian HyperStore Hybrid Storage ServiceCloudian
This document is to help a new user set up the network when deploying a 3-node Cloudian storage cluster in your data center for use with the Cloudian HyperStore Hybrid Cloud Service from AWS Marketplace.
Vitess VReplication: Standing on the Shoulders of a MySQL GiantMatt Lord
Vitess provides a large set of features that allow you to use and manage a scalable set of MySQL database instances across custom partitions or shards of your dataset as if it was a single logical database. One of the key components used within Vitess is called VReplication.
In this talk, we'll cover what VReplication is and how it relates to MySQL replication, including how VReplication leverages the technologies you're already familiar with while expanding on them to add a set of powerful primitives and abstractions that support an ever-growing list of high-level features such as sharding and resharding of tables, materialized views, online DDL, change streams (CDC), and message or job queues.
This talk should leave a MySQL user/operator with a good understanding of what VReplication could do for them and when they may want to use it.
This document discusses Zero touch on-premise storage infrastructure with OpenStack Cinder. It describes Viettel's IT infrastructure with mixed storage resources and the challenges of managing it. The solution presented uses OpenStack Cinder and additional tools to automate the management and provisioning of block storage for bare metal servers and OpenStack instances. This removes manual configuration steps and improves performance by pre-zoning storage connections. The goal is to make volume management simpler and allow adding new storage resources without additional configuration through the unified management solution.
MariaDB ColumnStore is a high performance columnar storage engine that supports analytical workloads through SQL. It uses a distributed, massively parallel architecture to provide faster and more efficient queries on large datasets. Key features include its use of a columnar data structure for compression and performance, distributed processing and parallel query execution, and integration with the standard MariaDB interface to allow SQL-based analytics.
Understanding the architecture of MariaDB ColumnStoreMariaDB plc
MariaDB ColumnStore extends MariaDB Server, a relational database for transaction processing, with distributed columnar storage and parallel query processing for scalable, high-performance analytical processing. This session helps MariaDB users understand how MariaDB ColumnStore works and why it’s needed for more demanding analytical workloads, and covers:
Use cases
Query processing
Bulk data insertion
Distributed partitions
Query optimization
MySQL High Availability and Disaster Recovery with Continuent, a VMware companyContinuent
Users seeking high availability, disaster recovery and zero downtime maintenance operation for business-critical MySQL applications face confusing choices. Is multi-master or master/slave clustering better? What about synchronous versus asynchronous replication? Using a plain vanilla, stock MySQL or a modified version of it? Which of these choices are right for data-driven businesses that depend on fast, reliable data access?
This no-BS webinar cuts through the FUD to explore the real trade-offs between the different clustering and replication methods, thens show you how Continuent's asynchronous master/slave clusters support these important capabilities for business-critical applications:
- High application write rates Master/slave clustering with Continuent
- Mixed workloads consisting of large and small transactions
- Data across multiple geographically distributed locations
- Failures and more importantly recovery from them
- Zero downtime maintenance and software upgrades
- Use of off-the-shelf MySQL/MariaDB to avoid application changes and allow clusters to improve as MySQL itself does.
We illustrate key points with demonstrations and case studies from deployed systems.
Redis is an advanced key-value NoSQL data store that is similar to memcached but with additional data types like lists, sets, and ordered sets. It was created in 2009 by Salvatore Sanfilippo to provide better performance than MySQL for real-time analytics. Major companies like Twitter, GitHub, Pinterest, and Snapchat use Redis to store user profiles, timelines, and other frequently accessed data due to its speed. The Redis plugin for Grails provides methods to cache data and integrate Redis as a data store or for sessions.
In 40 minutes the audience will learn a variety of ways to make postgresql database suddenly go out of memory on a box with half a terabyte of RAM.
Developer's and DBA's best practices for preventing this will also be discussed, as well as a bit of Postgres and Linux memory management internals.
Impacts of Sharding, Partitioning, Encoding, and Sorting on Distributed Query...InfluxData
InfluxDB IOx Tech Talks
This talk presents a design of a distributed database system that splits data to gain query performance. The talk will define four main properties of data splitting: sharding, partitioning, sorting, and encoding; and then delve into examples to show their impacts on query performance.
Introduction to the Container Network Interface (CNI)Weaveworks
CNI, the Container Network Interface, is a standard API between container runtimes and container network implementations. These slides are from the Cloud Native Computing Foundation's Webinar, and explain what CNI is, how you use it, and what lies ahead on the roadmap.
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.
HTTP Analytics for 6M requests per second using ClickHouse, by Alexander Boc...Altinity Ltd
This document summarizes Cloudflare's use of ClickHouse to analyze over 6 million HTTP requests per second. Some key points:
- Cloudflare previously used PostgreSQL, Citus, and Flink but these did not scale sufficiently.
- ClickHouse was chosen as it is fast, scalable, fault tolerant, and Cloudflare had existing expertise in it.
- Cloudflare designed ClickHouse schemas to aggregate HTTP data into totals, breakdowns by category, and unique counts into two tables using different engines.
- Tuning ClickHouse index granularity improved query latency by 50% and throughput by 3x.
- The new ClickHouse pipeline is more scalable, fault tolerant
OSMC 2018 | Why we recommend PMM to our clients by Matthias CrauwelsNETWAYS
As service providers, one of our responsibilities is helping clients understand what causes contributed to a production downtime incident, and how to avoid (as much as possible) them from happening again. We do this with Incident Reports, and one common recommendation we make is to have a historical monitoring system in place. All our clients have point-in-time monitoring solutions in place, solutions that can alert them when a system is down or behaving in unacceptable ways. But historical monitoring is still not common, and we believe a lot of companies can benefit from deploying one of them. In most cases, we have recommended Percona Monitoring and Management (PMM), as a good and Open Source solution for this problem. In this session, we will talk about the reasons why we recommend PMM as a way to prevent incidents, and also to investigate their possible causes when one has happened.
Talk for AWS re:Invent 2014. Video: https://www.youtube.com/watch?v=7Cyd22kOqWc . Netflix tunes Amazon EC2 instances for maximum performance. In this session, you learn how Netflix configures the fastest possible EC2 instances, while reducing latency outliers. This session explores the various Xen modes (e.g., HVM, PV, etc.) and how they are optimized for different workloads. Hear how Netflix chooses Linux kernel versions based on desired performance characteristics and receive a firsthand look at how they set kernel tunables, including hugepages. You also hear about Netflix’s use of SR-IOV to enable enhanced networking and their approach to observability, which can exonerate EC2 issues and direct attention back to application performance.
This is the presentation delivered by Karthik.P.R at MySQL User Camp Bangalore on 09th June 2017. ProxySQL is a high performance MySQL Load Balancer Designed to scale database servers.
Salvatore Sanfilippo – How Redis Cluster works, and why - NoSQL matters Barce...NoSQLmatters
Salvatore Sanfilippo – How Redis Cluster works, and why
In this talk the algorithmic details of Redis Cluster will be exposed in order to show what were the design tensions in the clustered version of an high performance database supporting complex data type, the selected tradeoffs, and their effect on the availability and consistency of the resulting solution.Other non-chosen solutions in the design space will be illustrated for completeness.
ClickHouse Query Performance Tips and Tricks, by Robert Hodges, Altinity CEOAltinity Ltd
1. ClickHouse uses a MergeTree storage engine that stores data in compressed columnar format and partitions data into parts for efficient querying.
2. Query performance can be optimized by increasing threads, reducing data reads through filtering, restructuring queries, and changing the data layout such as partitioning strategy and primary key ordering.
3. Significant performance gains are possible by optimizing the data layout, such as keeping an optimal number of partitions, using encodings to reduce data size, and skip indexes to avoid unnecessary I/O. Proper indexes and encodings can greatly accelerate queries.
The Linux Block Layer - Built for Fast StorageKernel TLV
The arrival of flash storage introduced a radical change in performance profiles of direct attached devices. At the time, it was obvious that Linux I/O stack needed to be redesigned in order to support devices capable of millions of IOPs, and with extremely low latency.
In this talk we revisit the changes the Linux block layer in the
last decade or so, that made it what it is today - a performant, scalable, robust and NUMA-aware subsystem. In addition, we cover the new NVMe over Fabrics support in Linux.
Sagi Grimberg
Sagi is Principal Architect and co-founder at LightBits Labs.
This document summarizes the key features and changes between versions of Fluentd, an open source data collector.
The main points are:
1) Fluentd v1.0 will provide stable APIs and features while remaining compatible with v0.12 and v0.14. It will have no breaking API changes.
2) New features in v0.14 and v1.0 include nanosecond time resolution, multi-core processing, Windows support, improved buffering and plugins, and more.
3) The goals for v1.0 include migrating more plugins to the new APIs, addressing issues, and improving documentation. A release is planned for Q2 2017.
Network Setup Guide: Deploying Your Cloudian HyperStore Hybrid Storage ServiceCloudian
This document is to help a new user set up the network when deploying a 3-node Cloudian storage cluster in your data center for use with the Cloudian HyperStore Hybrid Cloud Service from AWS Marketplace.
Vitess VReplication: Standing on the Shoulders of a MySQL GiantMatt Lord
Vitess provides a large set of features that allow you to use and manage a scalable set of MySQL database instances across custom partitions or shards of your dataset as if it was a single logical database. One of the key components used within Vitess is called VReplication.
In this talk, we'll cover what VReplication is and how it relates to MySQL replication, including how VReplication leverages the technologies you're already familiar with while expanding on them to add a set of powerful primitives and abstractions that support an ever-growing list of high-level features such as sharding and resharding of tables, materialized views, online DDL, change streams (CDC), and message or job queues.
This talk should leave a MySQL user/operator with a good understanding of what VReplication could do for them and when they may want to use it.
This document discusses Zero touch on-premise storage infrastructure with OpenStack Cinder. It describes Viettel's IT infrastructure with mixed storage resources and the challenges of managing it. The solution presented uses OpenStack Cinder and additional tools to automate the management and provisioning of block storage for bare metal servers and OpenStack instances. This removes manual configuration steps and improves performance by pre-zoning storage connections. The goal is to make volume management simpler and allow adding new storage resources without additional configuration through the unified management solution.
MariaDB ColumnStore is a high performance columnar storage engine that supports analytical workloads through SQL. It uses a distributed, massively parallel architecture to provide faster and more efficient queries on large datasets. Key features include its use of a columnar data structure for compression and performance, distributed processing and parallel query execution, and integration with the standard MariaDB interface to allow SQL-based analytics.
Understanding the architecture of MariaDB ColumnStoreMariaDB plc
MariaDB ColumnStore extends MariaDB Server, a relational database for transaction processing, with distributed columnar storage and parallel query processing for scalable, high-performance analytical processing. This session helps MariaDB users understand how MariaDB ColumnStore works and why it’s needed for more demanding analytical workloads, and covers:
Use cases
Query processing
Bulk data insertion
Distributed partitions
Query optimization
MySQL High Availability and Disaster Recovery with Continuent, a VMware companyContinuent
Users seeking high availability, disaster recovery and zero downtime maintenance operation for business-critical MySQL applications face confusing choices. Is multi-master or master/slave clustering better? What about synchronous versus asynchronous replication? Using a plain vanilla, stock MySQL or a modified version of it? Which of these choices are right for data-driven businesses that depend on fast, reliable data access?
This no-BS webinar cuts through the FUD to explore the real trade-offs between the different clustering and replication methods, thens show you how Continuent's asynchronous master/slave clusters support these important capabilities for business-critical applications:
- High application write rates Master/slave clustering with Continuent
- Mixed workloads consisting of large and small transactions
- Data across multiple geographically distributed locations
- Failures and more importantly recovery from them
- Zero downtime maintenance and software upgrades
- Use of off-the-shelf MySQL/MariaDB to avoid application changes and allow clusters to improve as MySQL itself does.
We illustrate key points with demonstrations and case studies from deployed systems.
Redis is an advanced key-value NoSQL data store that is similar to memcached but with additional data types like lists, sets, and ordered sets. It was created in 2009 by Salvatore Sanfilippo to provide better performance than MySQL for real-time analytics. Major companies like Twitter, GitHub, Pinterest, and Snapchat use Redis to store user profiles, timelines, and other frequently accessed data due to its speed. The Redis plugin for Grails provides methods to cache data and integrate Redis as a data store or for sessions.
In 40 minutes the audience will learn a variety of ways to make postgresql database suddenly go out of memory on a box with half a terabyte of RAM.
Developer's and DBA's best practices for preventing this will also be discussed, as well as a bit of Postgres and Linux memory management internals.
Impacts of Sharding, Partitioning, Encoding, and Sorting on Distributed Query...InfluxData
InfluxDB IOx Tech Talks
This talk presents a design of a distributed database system that splits data to gain query performance. The talk will define four main properties of data splitting: sharding, partitioning, sorting, and encoding; and then delve into examples to show their impacts on query performance.
Introduction to the Container Network Interface (CNI)Weaveworks
CNI, the Container Network Interface, is a standard API between container runtimes and container network implementations. These slides are from the Cloud Native Computing Foundation's Webinar, and explain what CNI is, how you use it, and what lies ahead on the roadmap.
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.
HTTP Analytics for 6M requests per second using ClickHouse, by Alexander Boc...Altinity Ltd
This document summarizes Cloudflare's use of ClickHouse to analyze over 6 million HTTP requests per second. Some key points:
- Cloudflare previously used PostgreSQL, Citus, and Flink but these did not scale sufficiently.
- ClickHouse was chosen as it is fast, scalable, fault tolerant, and Cloudflare had existing expertise in it.
- Cloudflare designed ClickHouse schemas to aggregate HTTP data into totals, breakdowns by category, and unique counts into two tables using different engines.
- Tuning ClickHouse index granularity improved query latency by 50% and throughput by 3x.
- The new ClickHouse pipeline is more scalable, fault tolerant
OSMC 2018 | Why we recommend PMM to our clients by Matthias CrauwelsNETWAYS
As service providers, one of our responsibilities is helping clients understand what causes contributed to a production downtime incident, and how to avoid (as much as possible) them from happening again. We do this with Incident Reports, and one common recommendation we make is to have a historical monitoring system in place. All our clients have point-in-time monitoring solutions in place, solutions that can alert them when a system is down or behaving in unacceptable ways. But historical monitoring is still not common, and we believe a lot of companies can benefit from deploying one of them. In most cases, we have recommended Percona Monitoring and Management (PMM), as a good and Open Source solution for this problem. In this session, we will talk about the reasons why we recommend PMM as a way to prevent incidents, and also to investigate their possible causes when one has happened.
This document provides an overview of HugePages, including why they are important, what they are, and how to implement them. It begins with an introduction on the importance of HugePages with increasing memory sizes. It then explains what HugePages are and how they improve memory mapping. The rest of the document discusses how to calculate HugePage sizes, considerations for different databases and platforms, steps to implement HugePages, and examples of issues caused by not using HugePages such as swapping, CPU stealing and RAC node evictions.
The document provides an overview of cloud native approaches and Kyma. It begins with introductions to cloud native concepts, Kubernetes, and Kyma. It then demonstrates Kyma through scenarios of deploying a service with an API, registering a remote environment, and triggering a lambda function with events. The document discusses Kyma components like the service catalog, event bus, and monitoring tools. It aims to explain how Kyma is a cloud-native integration and extension platform focused on the SAP Hybris portfolio.
Site | https://www.infoq.com/qconai2018/
Youtube | https://www.youtube.com/watch?v=2h0biIli2F4&t=19s
At PayPal, data engineers, analysts and data scientists work with a variety of datasources (Messaging, NoSQL, RDBMS, Documents, TSDB), compute engines (Spark, Flink, Beam, Hive), languages (Scala, Python, SQL) and execution models (stream, batch, interactive).
Due to this complex matrix of technologies and thousands of datasets, engineers spend considerable time learning about different data sources, formats, programming models, APIs, optimizations, etc. which impacts time-to-market (TTM). To solve this problem and to make product development more effective, PayPal Data Platform developed "Gimel", a unified analytics data platform which provides access to any storage through a single unified data API and SQL, that are powered by a centralized data catalog.
In this session, we will introduce you to the various components of Gimel - Compute Platform, Data API, PCatalog, GSQL and Notebooks. We will provide a demo depicting how Gimel reduces TTM by helping our engineers write a single line of code to access any storage without knowing the complexity behind the scenes.
Make your data fly - Building data platform in AWSKimmo Kantojärvi
This document summarizes a presentation on building a data platform in AWS. It discusses the architectural evolution from on-premise data warehouses to cloud-based data lakes and platforms. It provides examples of using AWS services like EMR, Redshift, Airflow and visualization tools. It also covers best practices for data modeling, performance optimization, security and DevOps approaches.
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...Dataconomy Media
"With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data for ETL, and hours to train models. It's also hard to scale, with data sets increasingly being larger than the capacity of any single server. The amount of the data also makes it hard to incrementally test and retrain models in near real-time.
Learn how Apache Ignite and GridGain help to address limitations like ETL costs, scaling issues and Time-To-Market for the new models and help achieve near-real-time, continuous learning.
Yuriy Babak, the head of ML/DL framework development at GridGain and Apache Ignite committer, will explain how ML/DL work with Apache Ignite, and how to get started.
Topics include:
— Overview of distributed ML/DL including architecture, implementation, usage patterns, pros and cons
— Overview of Apache Ignite ML/DL, including built-in ML/DL algorithms, and how to implement your own
— Model inference with Apache Ignite, including how to train models with other libraries, like Apache Spark, and deploy them in Ignite
— How Apache Ignite and TensorFlow can be used together to build distributed DL model training and inference"
One bridge to connect them all. Oracle GoldenGate for Big Data.UKOUG Tech 2018Gleb Otochkin
The presentation explain different use cases and topologies for Oracle GoldenGate Big Data adapters and show how we can offload our data to be analyzed in real time using modern Big Data technologies.
Gimel at Dataworks Summit San Jose 2018Romit Mehta
Gimel is PayPal's data platform that provides a unified interface for accessing and analyzing data across different data stores and processing engines. The presentation provides an overview of Gimel, including PayPal's analytics ecosystem, the challenges Gimel addresses around data access and application lifecycle, and a demo of how Gimel simplifies a flights cancelled use case. It also discusses Gimel's open source journey and integration with ecosystems like Spark and Jupyter notebooks.
Gimel Data Platform is an analytics platform developed by PayPal that aims to simplify data access and analysis. The presentation provides an overview of Gimel, including PayPal's analytics ecosystem, the challenges Gimel addresses in data access and application lifecycle management, a demo of a sample flights cancelled use case using Gimel, and PayPal's plans to open source Gimel.
EnterpriseDB CEO and President Ed Boyajian opened Postgres Vision 2018 with this presentation providing a look at enterprise activity in the cloud and how Postgres can extend across the IT infrastructure, from on-premises to the cloud.
Why You Need Manageability Now More than Ever and How to Get ItGustavo Rene Antunez
Whether you are operating in a completely on-premises environment or have some kind of hybrid cloud setup, you need to be able to clearly monitor and manage your entire organization in one single, unified structure. In this session learn how IOUG’s volunteer team decided to review Oracle Management Cloud Services to see if this “single pane of glass” was up to the challenge of providing the information data professionals need to serve their organization. Come and see how to put the pieces together, illustrated with real examples from Oracle Public Cloud services.
The rise of microservices details how the software infrastructure of the future are changing. As corporations strive for competitive advantage, they must redesign their brownfield legacy applications and move them to the cloud. Agile Cloud applications follow microservices and cloudnative development patterns. Microservices architectures are enabled by Docker and Kubernetes. Both software are hosted by CNCF.
microservices architectures are being enhanced with a service mesh layer which simplifies the communication and management of cloudnative applications.
Building A Self Service Streaming Platform at Pinterest - Steven Bairos-Novak...Flink Forward
Pinterest is a visual discovery engine that helps more than 250 million monthly active users discover things they love and inspires them to go do those things in their daily lives. Creating Pinterest's new stream processing platform, Xenon, around Flink has enabled teams across the company to tackle new real-time applications. From accelerating machine learning model training iterations to enabling real-time analytics, real-time stream processing has opened up new possibilities everywhere. Given that we ingest over a trillion messages every day through Kafka at Pinterest, a lot went into the design of our new stream processing platform.
We would like to share our experience in making the decision to move from different streaming technologies to Flink. We also discuss how we are building a self-service streaming platform for our engineers, data analysts and data scientists that provides a seamless job deployment pipeline, common monitoring, alerting and tooling. We have also enabled ad-hoc Flink SQL queries on bounded Kafka data streams through a UI to help users explore streaming data easily, extract real-time insights and assist product development.
This document discusses enhancements to MySQL database replication in versions 8 and 5.7. It covers new features for binary log metadata, multi-source replication with filtering, automatic protection of offline replicas, primary election weights, shutting down replicas that leave groups involuntarily, triggering primary elections and changing group modes online, and relaxed member eviction timeouts. It also discusses performance improvements to the replication applier thread through dependency tracking.
The document summarizes a POC conducted using an Oracle Exadata X7-2 system with Oracle VM (OVM) to evaluate performance against an existing IBM P8 system. The POC involved loading an 18TB database onto different Exadata configurations with varying numbers of vCPUs. Initial loads took 48 hours on Exadata compared to over 54 hours on IBM. Exadata achieved a 2x performance increase with 36 vCPUs and low CPU usage, while IBM achieved a 4x increase but required 14 cores and setting optimizer features to an older version.
Container Attached Storage (CAS) with OpenEBS - SDC 2018OpenEBS
The document discusses container attached storage (CAS), which aims to provide storage for containers in a container-native way. CAS is designed to run in containers for containers in user space, using the Kubernetes substrate. It addresses challenges like small working sets, ephemeral storage, and cloud lock-in by keeping data local to workloads and allowing per-workload optimization and migration. The document outlines the CAS design and implementation, including using an input/output container to handle storage IO in user space and leveraging technologies like SPDK, virtio, and Kubernetes custom resources.
Kubernetes is hard! Lessons learned taking our apps to Kubernetes - Eldad Ass...Cloud Native Day Tel Aviv
You might think taking your application to Kubernetes is easy. Just pack them in a Docker container, deploy and you're done!
In reality, the challenges of taking your existing application to the cloud native environment of Kubernetes are huge! They require changes in the way your applications behave and the way you administer them.
Do you really know how to get up and running with your existing applications in Kubernetes?
In this talk I will share my lessons learned taking JFrog's existing applications, prepping and deploying them to Kubernetes.
I'll go over some best practices of preparing your application for Kubernetes with some examples for what we did.
A Planet-Scale Database for Low Latency Transactional Apps by YugabyteCarlos Andrés García
Karthik Ranganathan, CTO of Yugabyte explains how you can tackle Data Gravity, Kubernetes, and strategies/best practices to run, scale, and leverage stateful containers in production.
MariaDB Paris Workshop 2023 - MaxScale 23.02.xMariaDB plc
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
MariaDB Paris Workshop 2023 - NewpharmaMariaDB plc
This document summarizes Newpharma's transition from a standalone database server to an enterprise MariaDB Galera cluster configuration between 2018-2023. It discusses the business needs that drove the change, including increased traffic and access to multiple data sources. Key benefits of the Galera cluster are highlighted like synchronous replication, read/write access from any node, and automatic node joining. Challenges of migrating like converting table types and splitting large transactions are also outlined. The transition has supported Newpharma's growth to over 100 million euro in turnover.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
MariaDB Paris Workshop 2023 - MariaDB EnterpriseMariaDB plc
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
MariaDB Paris Workshop 2023 - Performance OptimizationMariaDB plc
MariaDB is an open-source database that is highly tunable and modular. It allows for various storage engines, plugins, and configurations to optimize performance depending on usage. Key aspects that impact performance include memory allocation, disk access, query optimization, and architecture choices like replication, sharding, or using ColumnStore for analytics. Solutions like MyRocks, Spider, MaxScale can improve performance for transactional or large scale workloads by optimizing resources, adding high availability, and distributing load.
MariaDB Paris Workshop 2023 - MaxScale MariaDB plc
The document outlines requirements and criteria for a database solution involving two buildings 30km apart with a WAN link. The chosen solution was MariaDB with Galera cluster for high availability and synchronous replication across sites, along with Maxscale for read/write splitting and failover. Maxscale instances on each site allow for zero downtime database patching and upgrades per site, while the Galera cluster provides structure-independent synchronous replication between sites.
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB plc
MariaDB Enterprise Server 10.6 includes the following key features:
- New JSON functions and data types like UUID and INET4.
- Improved Oracle compatibility with function parameters.
- Enhanced partitioning capabilities like converting partitions.
- Optimistic ALTER TABLE for replicas to reduce downtime.
- Online schema changes without locking tables for improved performance.
- Security enhancements including password policies and privilege changes.
MariaDB SkySQL is a cloud database service that provides autonomous scaling, observability, and cloud backup capabilities. It offers multi-cloud and hybrid operations across AWS, Google Cloud, and on-premises databases. The service includes features like the Remote Observability Service (ROS) for monitoring across environments, and a Cloud Backup Service. It aims to provide a simple yet advanced service for scaling databases from small to extreme sizes with tools for automation, self-service, and unified operations.
The document discusses high availability solutions for MariaDB databases. It begins by defining high availability and concepts like Recovery Time Objective (RTO) and Recovery Point Objective (RPO). It then presents different MariaDB and MaxScale architectures that provide high availability, including single node, primary-replica, Galera cluster, and SkySQL solutions. Key aspects covered are automatic failover, load balancing, data filtering, and service level agreements.
Die Neuheiten in MariaDB Enterprise ServerMariaDB plc
This document summarizes new features in MariaDB Enterprise Server. Key points include:
- MariaDB Enterprise Server is geared toward enterprise customers and focuses on stability, robustness, and predictability.
- It has a longer release cycle than Community Server, with new versions every 2 years and long maintenance cycles. New features from Community Server are backported.
- Recent additions include analytics functions, JSON support, bi-temporal modeling, schema changes, database compatibility features, and security enhancements.
- The upcoming 23.x release will include new JSON functions, data types like UUID and INET4, Oracle compatibility features, partitioning improvements, and Galera enhancements.
Global Data Replication with Galera for Ansell Guardian®MariaDB plc
Ansell Guardian® faced challenges with their previous database replication solution as their data and usage grew globally. They evaluated MariaDB/Galera and implemented it to replace their legacy solution. The implementation was smooth using automation scripts. MariaDB/Galera provided increased performance, faster deployment times, and more reliable data synchronization across their 3 data centers compared to their previous solution. It helped resolve a critical data divergence issue and improved the user experience. They plan to further enhance their database infrastructure using MaxScale in the future.
SkySQL is the first and only database-as-a-service (DBaaS) to perform workload analysis with advanced deep learning models, identifying and classifying discrete workload patterns so DBAs can better understand database workloads, identify anomalies and predict changes.
In this session, we’ll explain the concepts behind workload analysis and show how it can be used in the real world (and with sample real-world data) to improve database performance and efficiency by identifying key metrics and changes to cyclical patterns.
SkySQL uses best-of-breed software, and when it comes to metrics and monitoring that means Prometheus and Grafana. SkySQL Monitor is built on both, and provides customers with interactive dashboards for both real-time and historic metrics monitoring. In addition, it meets the same high availability and security requirements as other SkySQL components, ensuring metrics are always available and always secure.
In this session, we’ll explain how SkySQL Monitor works, walk through its dashboards and show how to monitor key metrics for performance and replication.
Introducing the R2DBC async Java connectorMariaDB plc
Not too long ago, a reactive variant of the JDBC driver was released, known as Reactive Relational Database Connectivity (R2DBC for short). While R2DBC started as an experiment to enable integration of SQL databases into systems that use reactive programming models, it now specifies a full-fledged service-provider interface that can be used to retrieve data from a target data source.
In this session, we’ll take a look at the new MariaDB R2DBC connector and examine the advantages of fully reactive, non-blocking development with MariaDB. And, of course, we’ll dive in and get a first-hand look at what it’s like to use the new connector with some live coding!
The capabilities and features of MariaDB Platform continue to expand, resulting in larger and more sophisticated production deployments – and the need for better tools. To provide DBAs with comprehensive, consolidating tooling, we created MariaDB Enterprise Tools: an easy-to-use, modular command-line interface for interacting with any part of MariaDB Platform.
In this session, we will provide a preview of the MariaDB Enterprise Client, walk through current and planned modules and discuss future plans for MariaDB Enterprise Tools – including SkySQL modules and the ability to create custom modules.
SkySQL implements a groundbreaking, state-of-the-art architecture based on Kubernetes and ServiceNow, and with a strong emphasis on cloud security – using compartmentalization and indirect access to secure and protect customer databases.
In this session, we’ll walk through the architecture of SkySQL and discuss how MariaDB leverages an advanced Kubernetes operator and powerful ServiceNow configuration/workflow management to deploy and manage databases on cloud infrastructure.
What to expect from MariaDB Platform X5, part 1MariaDB plc
MariaDB Platform X5 will be based on MariaDB Enterprise Server 10.5. This release includes Xpand, a fully distributed storage engine for scaling out, as well as many new features and improvements for DBAs and developers alike, including enhancements to temporal tables, additional JSON functions, a new performance schema, non-blocking schema changes with clustering and a Hashicorp Vault plugin for key management.
In this session, we’ll walk through all of the new features and enhancements available in MariaDB Enterprise Server 10.5. In addition, we will highlight those being backported to maintenance releases of MariaDB Enterprise Server 10.2, 10.3 and 10.4.
Preparing Non - Technical Founders for Engaging a Tech AgencyISH Technologies
Preparing non-technical founders before engaging a tech agency is crucial for the success of their projects. It starts with clearly defining their vision and goals, conducting thorough market research, and gaining a basic understanding of relevant technologies. Setting realistic expectations and preparing a detailed project brief are essential steps. Founders should select a tech agency with a proven track record and establish clear communication channels. Additionally, addressing legal and contractual considerations and planning for post-launch support are vital to ensure a smooth and successful collaboration. This preparation empowers non-technical founders to effectively communicate their needs and work seamlessly with their chosen tech agency.Visit our site to get more details about this. Contact us today www.ishtechnologies.com.au
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Mobile app Development Services | Drona InfotechDrona Infotech
Drona Infotech is one of the Best Mobile App Development Company In Noida Maintenance and ongoing support. mobile app development Services can help you maintain and support your app after it has been launched. This includes fixing bugs, adding new features, and keeping your app up-to-date with the latest
Visit Us For :
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...kalichargn70th171
A dynamic process unfolds in the intricate realm of software development, dedicated to crafting and sustaining products that effortlessly address user needs. Amidst vital stages like market analysis and requirement assessments, the heart of software development lies in the meticulous creation and upkeep of source code. Code alterations are inherent, challenging code quality, particularly under stringent deadlines.