Oracle is the most powerful DBMS in the world. However, Oracle's expensive and complex replication makes it difficult to build highly available applications or move data in real-time to data warehouses and popular databases like MySQL. In this webinar you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other solutions and with less management overhead too – think "Oracle GoldenGate without the price tag!" We will demo constructing a highly available site using Oracle-to-Oracle replication. We will then show you how to replicate data in real time from Oracle to MySQL as well as load a data warehouse.
Scylla Summit 2017: Scylla for Mass Simultaneous Sensor Data Processing of ME...ScyllaDB
We will share Scylla adoption practices in equipment sensor data management of MES, Data Modeling Tips, Data Architecture using Scylla, configurations, and tunings.
Scylla Summit 2022: The Future of Consensus in ScyllaDB 5.0 and BeyondScyllaDB
Beyond the immediate schema changes supported in Scylla Open Source 5.0, learn how the Raft consensus infrastructure will enable radical new capabilities. Discover how it will enable more dynamic topology changes, tablets, immediate consistency, better and faster elasticity, and simplification to repair operations.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
Wayfair Use Case: The four R's of Metrics DeliveryInfluxData
Wayfair currently uses both Graphite and InfluxDB as a time series platform - The data is used by their developers, business stakeholders, by their internal alerting engine. Most importantly their 24x7 Ops Monitoring Center is using this data to constantly analyze the vital signs of Wayfair’s IT infrastructure and storefront operations.
The talk will cover most of the performance enhancement introduced to Scylla over the past 12 months. As the throughput was very good before, we focused on Scylla’s behaviour under all types of workloads and data models. Scylla improved its latency under all scenarios, improving the behaviours of data models such as large partitions and time series, improvement of the I/O scheduler and behaviour of streaming and repair.
This document provides an overview of Postgres clustering solutions and distributed Postgres architectures. It discusses master-slave replication, Postgres-XC/XL, Greenplum, CitusDB, pg_shard, BDR, pg_logical, and challenges around distributed transactions, high availability, and multimaster replication. Key points include the tradeoffs of different approaches and an implementation of multimaster replication built on pg_logical and a timestamp-based distributed transaction manager (tsDTM) that provides partition tolerance and automatic failover.
Apache Sqoop: A Data Transfer Tool for HadoopCloudera, Inc.
Apache Sqoop is a tool designed for efficiently transferring bulk data between Hadoop and structured datastores such as relational databases. This slide deck aims at familiarizing the user with Sqoop and how to effectively use it in real deployments.
Nov. 4, 2011 o reilly webcast-hbase- lars georgeO'Reilly Media
HBase Coprocessors allow user code to be deployed directly on HBase clusters. Coprocessors run within each region of a table and define an interface for client calls. Examples of coprocessors include distributed query processing and regular expression search. Coprocessors are loaded via configuration or table schema and provide hooks into various HBase operations like get, put, and scan calls as well as lifecycle events.
Scylla Summit 2017: The Upcoming HPC EvolutionScyllaDB
In this talk, I will explain how HPC is beginning to evolve and how we use supercomputers to monitor supercomputers. First we will look at how HPC is different from cloud computing in terms of infrastructure and application architecture. Then I will discuss how those things are changing and why. Finally, I will dive into a use case of monitoring supercomputers as an application area for Scylla.
Shipping Data from Postgres to Clickhouse, by Murat Kabilov, AdjustAltinity Ltd
This document discusses shipping data from PostgreSQL to ClickHouse using logical replication. It explains that logical replication in PostgreSQL replicates only DML statements, while physical replication replicates the entire database. It describes using pg2ch to replicate changes from PostgreSQL to ClickHouse tables using CollapsingMergeTree, ReplacingMergeTree, or MergeTree engines. Pg2ch accumulates changes in buffers and handles updating/deleting rows when using CollapsingMergeTree or ReplacingMergeTree engines.
Transparent sharding with Spider: what's new and getting startedMariaDB plc
OpenWorks 2019 Session
MariaDB Server 10.3 introduced transparent, built-in sharding with the Spider storage engine to scale out reads, writes and storage. MariaDB Server 10.4 will include a number of improvements, including DDL pushdown. In this session, Ralf Gebhardt and Kentoku Shiba of MariaDB show how to set up a sharded MariaDB cluster and scale out on demand, as well explore as best practices for high availability and consistency in a sharded deployment.
Performance improvements in PostgreSQL 9.5 and beyondTomas Vondra
This document discusses several performance improvements made in PostgreSQL versions 9.5 and beyond. Some key improvements discussed include:
- Faster sorting through allowing sorting by inlined functions, abbreviated keys for VARCHAR/TEXT/NUMERIC, and Sort Support benefits.
- Improved hash joins through reduced palloc overhead, smaller NTUP_PER_BUCKET, and dynamically resizing the hash table.
- Index improvements like avoiding index tuple copying, GiST and bitmap index scan optimizations, and block range tracking in BRIN indexes.
- Aggregate functions see speedups through using 128-bit integers for internal state instead of NUMERIC in some cases.
- Other optimizations affect PL/pgSQL performance,
PostgreSQL is a free and open-source relational database management system that provides high performance and reliability. It supports replication through various methods including log-based asynchronous master-slave replication, which the presenter recommends as a first option. The upcoming PostgreSQL 9.4 release includes improvements to replication such as logical decoding and replication slots. Future releases may add features like logical replication consumers and SQL MERGE statements. The presenter took questions at the end and provided additional resources on PostgreSQL replication.
This document discusses Go programming patterns and best practices presented by MegaEase, an enterprise cloud native architecture provider. It covers topics like slices, interfaces, performance optimization, and common Go mistakes. Examples are provided to demonstrate slice internals, deep comparison, interface patterns, and how to check interface compliance.
Flink Forward Berlin 2017: Stefan Richter - A look at Flink's internal data s...Flink Forward
The document discusses Flink's use of internal data structures to efficiently support checkpointing. It describes how Flink uses RocksDB, a log-structured merge tree database, as a backend to support asynchronous and incremental checkpoints. RocksDB allows checkpoints to be taken with low overhead by creating immutable snapshots of the on-disk data structures. It also facilitates incremental checkpoints by efficiently detecting state changes between checkpoints based on the creation and deletion of immutable sorted string tables. The document provides an example to illustrate how RocksDB integrates with the distributed filesystem and job manager to support incremental checkpointing. It also discusses how Flink uses a copy-on-write hash map approach with the heap state backend to support asynchronous checkpoints while detecting state
Agenda
• Technical cases in PostgreSQL
• Database Monitoring Methods
By Rohit Vyas at India PostgreSQL UserGroup Meetup, Bangalore at InMobi.
http://technology.inmobi.com/events/india-postgresql-usergroup-meetup-bangalore
When your query execution is slow, a couple of questions arise. Where to look for resources utilization? What tools do you have to analyze CPU, hard drive and RAM bottlenecks? Could you do something to reduce query execution time? MariaDB's Patrick LeBlanc and Roman Nozdrin touch on both Columnstore's query execution introspection tools as well as operating system capabilities that everyone should know about. They go on to discuss a number of real life use cases too. Some called for configuration changes whilst others forced them to make serious changes in the code.
This document summarizes Spark as a service on YARN clusters and discusses key features:
- Spark on YARN allows running multiple workflows like Spark and Hadoop on the same cluster and improves resource utilization. The application master can dynamically request more containers as needed.
- Qubole YARN clusters support autoscaling to upscale and downscale based on load and use spot instances for cost savings.
- Spark applications were limited by initial resource allocation. Dynamic provisioning allows applications to request more executors or release unused executors to improve performance and cluster utilization.
Replicating in Real-time from MySQL to Amazon RedshiftContinuent
Continuent is delighted to announce an exciting new Continuent Tungsten feature for MySQL users: replication in real-time from MySQL into Amazon Redshift. In this webinar we'll showcase Continuent Tungsten capabilities for continuous and real-time data warehouse loading, then zero-in on practical details of setting up replication from MySQL into Redshift.
We cover the following topics:
- Introduction to real-time data loading from a relational DBMS into data warehouses
- Continuent Tungsten data warehouse loading to Redshift, Hadoop, Vertica, and Oracle
- What's new with Redshift data loading
- Setting up replication from MySQL into Amazon Redshift
- Initial provisioning of the data, followed by on-going and real-time replication
- Adding Redshift data loading to existing Continuent Tungsten clusters.
This webinar includes practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently. Please join us to hear about this great new feature of Continuent Tungsten!
In the age of NoSQL, big data storage engines such as HBase have given up ACID semantics of traditional relational databases, in exchange for high scalability and availability. However, it turns out that in practice, many applications require consistency guarantees to protect data from concurrent modification in a massively parallel environment. In the past few years, several transaction engines have been proposed as add-ons to HBase; three different engines, namely Omid, Tephra, and Trafodion were open-sourced in Apache alone. In this talk, we will introduce and compare the different approaches from various perspectives including scalability, efficiency, operability and portability, and make recommendations pertaining to different use cases.
New Features
● Developer and SQL Features
● DBA and Administration
● Replication
● Performance
By Amit Kapila at India PostgreSQL UserGroup Meetup, Bangalore at InMobi.
http://technology.inmobi.com/events/india-postgresql-usergroup-meetup-bangalore
Real-Time Data Loading from MySQL to Hadoop with New Tungsten Replicator 3.0Continuent
Hadoop is an increasingly popular means of analyzing transaction data from single MySQL or multiple MySQL servers. Up until now mechanisms for moving data between MySQL and Hadoop have been rather limited. The new Continuent Tungsten Replicator 3.0 provides enterprise-quality replication from MySQL to Hadoop. Tungsten Replicator 3.0 is 100% open source, released under a GPL V2 license, and available for download at https://code.google.com/p/tungsten-replicator/.
Continuent Tungsten handles MySQL transaction types including INSERT/UPDATE/DELETE operations and can materialize binlogs as well as mirror-image data copies in Hadoop. Continuent Tungsten also has the high performance necessary to load data from busy source MySQL systems into Hadoop clusters with minimal load on source systems while retaining control over how the data is viewed and accessed within Hadoop.
We will discuss:
- How Hadoop works and why it's useful for processing transaction data from MySQL
- Setting up Continuent Tungsten replication from MySQL to Hadoop
- Understanding how Hadoop makes data analytics efficient and easy to execute
- Tuning replication to maximize performance.
Tungsten University: Load A Vertica Data Warehouse With MySQL DataContinuent
Continuent Tungsten offers real-time replication from MySQL to a variety of DBMS types including Vertica. In this Tungsten University webcast we will show you the details of setting up MySQL-to-Vertica replication, including the following topics:
• Introduction to Continuent Tungsten features for data warehouse loading
• Installation for MySQL to Vertica replication
• Best practices for applications: charsets, schema design, time zones, etc.
• Techniques for filtering and transforming data
• Performance tuning and trouble shooting
• Adapting batch loading for new use cases
The webinar includes technical information and a live demo to help you get your own data warehouse loading application up and running quickly.
The document outlines changes and new features in MySQL versions 5.7 through upcoming releases. Key points include:
- MySQL 5.7 development follows a milestone release process to stabilize new features before general availability. Four development milestone releases have been completed so far.
- Notable 5.7 features include statement timeouts, change replication without stopping SQL threads, and performance improvements like optimized UNION ALL queries.
- Some existing functionality will change in 5.7, like making replication more durable by default and producing errors for queries with only partial GROUP BY clauses.
- Ongoing efforts include refactoring and improving InnoDB, the optimizer, and other components for better performance and scalability. New features in development
Tungsten Replicator is an innovative and reliable tool that can solve your most complex replication problems. In this webinar we will introduce Replicator installation and show you how to use key Replicator features effectively with MySQL.
Course Topics:
- Checking host and MySQL prerequisites
- Downloading code from http://code.google.com/p/tungsten-replicator/
- Installation using the tpm utility
- Transaction filtering using standard filters as well as customized filters you write yourself
- Enabling and managing parallel replication
- Configuring multi-master and fan-in using multiple replication services
- Backup and restore integration
- Troubleshooting replication problems
- Logging bugs and participating in the Tungsten Replicator community
Replication is a powerful technology that takes knowledge and planning to use effectively. This webinar gives you the background that makes replication easier to set up and allows you to take full advantage of the Tungsten Replicator benefits.
The document compares various database companies and their products. It provides details on TmaxSoft, including its employee headcount, main products which include databases and middleware, and key technologies. It then discusses Tibero database specifically and how it compares to Oracle, including features, licensing model, compatibility, and security. Examples are also provided showing capabilities of Tibero compared to Oracle.
Set Up & Operate Open Source Oracle ReplicationContinuent
Oracle's expensive and complex replication makes it difficult to build cost-effective applications that move data in real-time to data warehouses (Oracle, Hadoop, Vertica) and popular databases like MySQL. Fortunately, Continuent Tungsten offers a solution. In this virtual course, you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other solutions and with less management overhead too – think "Oracle GoldenGate without the price tag!”
Course Topics:
- Replicator installation and configuration
- Provisioning existing schema and tables from Oracle into another server
- Replicating between Oracle schemas
- Replicating from Oracle to MySQL and data warehouses
- Tips for solving common problems and improving performance.
The course includes live demos to illustrate operation. By the end of the course you should be ready move ahead with your own deployments.
Set Up & Operate Real-Time Data Loading into HadoopContinuent
Getting data into Hadoop is not difficult, but it is complex if what you want to load 'live' or semi-live data into your Hadoop cluster from your Oracle and MySQL databases. There are plenty of solutions available, from manually dumping and loading to the good and bad sides of using a tool like Sqoop. Neither are easy and both prone to the problems of lag between the moment you perform the dump and the load into Hadoop.
Replicating into Hadoop with Tungsten Replicator enables you to stream replication data from your Oracle and MySQL servers straight into Hadoop. Using the leading replication service built into Tungsten Replicator, and supporting all the topology and reliability features of Tungsten Replicator, the Hadoop applier enables you to replicate data directly from Oracle and MySQL into Hadoop.
In this course, we look at the existing methods of loading Hadoop data, review how the Hadoop replicator works, and give a live demo of replicating data from MySQL into Hadoop.
Tungsten Replicator is an innovative and reliable tool that can solve your most complex replication problems. In this webinar we introduce Replicator installation and show you how to use key Replicator features effectively with MySQL.
Course Topics:
- Checking host and MySQL prerequisites
- Downloading code from http://code.google.com/p/tungsten-replicator/
- Installation using the tpm utility
- Transaction filtering using standard filters as well as customized filters you write yourself
- Enabling and managing parallel replication
- Configuring multi-master and fan-in using multiple replication services
- Backup and restore integration
- Troubleshooting replication problems
- Logging bugs and participating in the Tungsten Replicator community
Replication is a powerful technology that takes knowledge and planning to use effectively. This webinar gives you the background that makes replication easier to set up and allows you to take full advantage of the Tungsten Replicator benefits.
Sharing data between different DBMS types is an inevitable need in Today's diverse IT environments. Need for real-time data integration, seamless migration and data warehousing are the main reasons driving demand for heterogenous replication. In this talk we'll review how open source Tungsten Replicator can replicate data in real-time between databases like MySQL, PostgreSQL, Oracle, MongoDB and others. Join us for this both technical and enlightening talk.
We'll cover fundamental steps behind configuring heterogeneous replication, the importance of transaction transforming filters and common challenges rising when replicating cross DBMS-type. We'll conclude with in-line demos to show you how it looks in action.
The document discusses several high availability and disaster recovery options for SQL Server including failover clustering, database mirroring, log shipping, and replication. It provides examples of how different companies have implemented these technologies depending on their requirements. Key factors that influence architecture choices are downtime tolerance, deployment of technologies, and operational procedures. The document also covers SQL Server upgrade processes and how to move databases to a new datacenter while maintaining high availability.
Trace flags are used to temporarily change SQL Server's behavior for debugging or diagnosing issues. This document discusses several trace flags including:
TF 652, 661, 834, 836 which disable certain SQL Server processes or enable large page allocations.
TF 1211, 1224 which avoid lock escalation. TF 1117 forces data files to auto grow equally. TF 1204, 1205, 1222 provide more information on deadlocks.
TF 1118 addresses tempdb contention. TFs 3226, 3014, 3004 provide more backup/restore details. TF 4199 enables query processor fixes. TF 3502 prints checkpoint messages.
The document provides explanations of these trace flags
This document provides an overview of accessing databases from R. It introduces DBI as a common interface for database packages in R. It demonstrates simple SQL queries to fetch, aggregate, and sort data from databases. It also discusses dbApply() for handling large result sets, the parallel RODBC package, and sqldf for accessing data frames as SQL tables without a database. Finally, it shows how to load the built-in mtcars data frame into a MySQL database table.
Overview of accessing relational databases from R. Focuses and demonstrates DBI family (RMySQL, RPostgreSQL, ROracle, RJDBC, etc.) but also introduces RODBC. Highlights DBI's dbApply() function to combine strengths of SQL and *apply() on large data sets. Demonstrates sqldf package which provides SQL access to standard R data.frames.
Presented at the May 2011 meeting of the Greater Boston useR Group.
The document discusses opportunities for using cloud and virtualization technologies. It describes how data virtualization can help optimize copy data management tasks like provisioning databases and refreshing environments. Virtualization allows creating many virtual copies of databases that take up minimal storage space since they share data blocks. This simplifies tasks like patching databases. The document also discusses best practices for migrating databases to the cloud and using data virtualization to enhance the migration process.
MariaDB's Andrew Hutchings and Shane Johnson walk through new features of the MariaDB ColumnStore storage engine, tools and adapters, then provide a sneak peak at what's planned for the next release.
This document discusses conflict detection and resolution in Oracle GoldenGate 12.3. It provides an overview of Oracle GoldenGate and its architecture. It then covers conflict management in multi-master replication environments, including examples and supported conflict types. It discusses requirements for conflict detection and resolution, such as ensuring full before images and supplemental logging. It also reviews extract, replicat, and exception table parameters used to configure conflict management.
DB2 12 introduces continuous delivery of new capabilities through function levels, simplifying migration to a single phase process. Explain tables must be recreated in DB2 12 format prior to migration. Application compatibility settings should be set to the target function level and packages rebound to enable new SQL features and optimize access plans.
Whats new in Oracle Database 12c release 12.1.0.2Connor McDonald
This document provides an overview of new features in Oracle Database 12c Release 1 (12.1.0.2). It discusses Oracle Database In-Memory for accelerating analytics, improvements for developers like support for JSON and RESTful services, capabilities for accessing big data using SQL, enhancements to Oracle Multitenant for database consolidation, and other performance improvements. The document also briefly outlines features like Oracle Rapid Home Provisioning, Database Backup Logging Recovery Appliance, and Oracle Key Vault.
Kellyn Pot'Vin-Gorman presented on copy data management and virtualization for DBAs. She discussed how virtualization can be used to provision databases more quickly and easily for tasks like patching and testing without needing to copy large amounts of physical data. She also covered how command line interfaces can be used to automate some of these processes.
Similar to Replicate Oracle to Oracle, Oracle to MySQL, and Oracle to Analytics (20)
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Interaction Latency: Square's User-Centric Mobile Performance MetricScyllaDB
Mobile performance metrics often take inspiration from the backend world and measure resource usage (CPU usage, memory usage, etc) and workload durations (how long a piece of code takes to run).
However, mobile apps are used by humans and the app performance directly impacts their experience, so we should primarily track user-centric mobile performance metrics. Following the lead of tech giants, the mobile industry at large is now adopting the tracking of app launch time and smoothness (jank during motion).
At Square, our customers spend most of their time in the app long after it's launched, and they don't scroll much, so app launch time and smoothness aren't critical metrics. What should we track instead?
This talk will introduce you to Interaction Latency, a user-centric mobile performance metric inspired from the Web Vital metric Interaction to Next Paint"" (web.dev/inp). We'll go over why apps need to track this, how to properly implement its tracking (it's tricky!), how to aggregate this metric and what thresholds you should target.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Navigating Post-Quantum Blockchain: Resilient Cryptography in Quantum Threatsanupriti
In the rapidly evolving landscape of blockchain technology, the advent of quantum computing poses unprecedented challenges to traditional cryptographic methods. As quantum computing capabilities advance, the vulnerabilities of current cryptographic standards become increasingly apparent.
This presentation, "Navigating Post-Quantum Blockchain: Resilient Cryptography in Quantum Threats," explores the intersection of blockchain technology and quantum computing. It delves into the urgent need for resilient cryptographic solutions that can withstand the computational power of quantum adversaries.
Key topics covered include:
An overview of quantum computing and its implications for blockchain security.
Current cryptographic standards and their vulnerabilities in the face of quantum threats.
Emerging post-quantum cryptographic algorithms and their applicability to blockchain systems.
Case studies and real-world implications of quantum-resistant blockchain implementations.
Strategies for integrating post-quantum cryptography into existing blockchain frameworks.
Join us as we navigate the complexities of securing blockchain networks in a quantum-enabled future. Gain insights into the latest advancements and best practices for safeguarding data integrity and privacy in the era of quantum threats.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
How to Avoid Learning the Linux-Kernel Memory ModelScyllaDB
The Linux-kernel memory model (LKMM) is a powerful tool for developing highly concurrent Linux-kernel code, but it also has a steep learning curve. Wouldn't it be great to get most of LKMM's benefits without the learning curve?
This talk will describe how to do exactly that by using the standard Linux-kernel APIs (locking, reference counting, RCU) along with a simple rules of thumb, thus gaining most of LKMM's power with less learning. And the full LKMM is always there when you need it!
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance.
Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling