CPAN Realtime feed

•Als KEY, PDF herunterladen•

1 gefällt mir•7,111 views

Tatsuhiko Miyagawa

http://friendfeed.com/cpan

Technologie Business

CPAN realtime feed
Tatsuhiko Miyagawa
YAPC::Asia 2009 lightning talks

What happens
when a new module is
uploaded to CPAN

Upload (10s)
PAUSE index (30s)
QA mirrors sync (20s)
QA reindex (1h)
rsync mirrors (~24h)
CPAN cache (~24h)

FriendFeed:
XMPP, APIs, Feeds
PubSubHubbub

Install CPAN modules
via real time feeds

Weitere ähnliche Inhalte

Was ist angesagt?

MongoDB World 2016: Implementing Async Networking in MongoDB 3.2

MongoDB

Introduction to GraalVM

SHASHI KUMAR

Native Java with GraalVM

Sylvain Wallez

C# 5 deep drive into asynchronous programming

Praveen Prajapati

Synchronizing parallel delivery flows in jenkins using groovy, build flow and...

Andrey Devyatkin

Many stream processing applications can benefit from or need to rely on the prediction made with machine learning (ML) methods. In this presentation, new features of Apache Samoa are presented with a real data processing scenario. These features make Apache SAMOA fully accessible for Apache Flink users: (1) the data stream processed within Apache Flink is forwarded to Apache Samoa stream mining engine to perform predictions with stream-oriented ML models, (2) ML models evolve after every labelled instance and, at the same time, new predictions are sent back to Apache Flink. In both cases, Apache Kafka is used for data exchange. Hence, Apache Samoa is used as stream mining engine, provided with input data from, and sending predictions to Apache Flink. During the presentation, real life aspects are illustrated with code examples, such as input and prediction stream integration and monitoring latency of data processing and stream mining.

Flink Forward Berlin 2017: Piotr Wawrzyniak - Extending Apache Flink stream p...

Flink Forward

Types - slice, map, new, make, struct - Gopherlabs

sangam biradar

Async in .NET

RTigger

Async/Await Best Practices

Particular Software

Big data: Loading your data with flume and sqoop

Christophe Marchal

Scrum-ban: Time-boxes and flow

Tze Chin Tang

In this workshop we would like to take a closer look at the new features of Java 7 and Java 8. Java 7 has brought a couple of language enhancements to assist developers in their daily programming tasks and starting from Java 8 we finally have the opportunity to include a functional programming touch to Java thanks to Lambdas! Lambdas allow us to specify closures to create clean and brief solutions for which we would otherwise be obligated to write down a lot of boilerplate code. For example in order to sort a List of Strings based on their length we can now write the following code: Collections.sort(list, (s1, s2) -> s1.length() - s2.length()); Besides lambdas, Java 8 also comes with extension methods, allowing us to write interfaces containing implemented methods, streams and bulk data operations, granting us the opportunity to chain operations on collections to obtain a filtered or transformed set of the elements in our collection, and the possibility to pass functions as parameters. These features alone will have a major impact on the way how Java APIs can be written. There's also a brand new Date and Time API inspired on the popular JodaTime API and a couple of other language enhancements to aid Java developers in writing solutions in a more elegant way. Be sure to follow this workshop to stay up to date with the latest evolutions of the Java programming language. Java 8 is definitely an update of the programming language which you don't want to miss out on!

Java 7 & 8

Ken Coenen

In this talk, we describe the design and implementation of the Python Streaming API support that has been submitted for inclusion in mainline Flink. Python is one of the most popular programming languages for data analysis. Its readability emphasizes development productivity and as a scripting language, it does not require a compilation nor complex development environment setup. Flink already has support for Python APIs for batch programming and unfortunately, the mechanism used to support batch programs (i.e., DataSet APIs) do does not work for Streaming API. We describe the limitations with the batch implementation and provide insights into how we solved this using Jython. We will walk through some of the examples programs using the new Python API and compare programmability and performance with the Java and Scala streaming APIs.

Flink Forward Berlin 2017: Zohar Mizrahi - Python Streaming API

Flink Forward

What's coming in Airflow 2.0? - NYC Apache Airflow Meetup

Kaxil Naik

Quick test professional (qtp) online training

Glory IT Technologies Pvt. Ltd.

Open Source Load Testing: JMeter, Gatling and Taurus

Guy Salton

Ceilometer juno-midpoint

Eoghan Glynn

While dataflow engines offer scalability, their programming abstractions are often unfamiliar to data scientists, which are used to Python and R. To provide a more convenient interface, dataflow engines like Spark provide an R-like dataframe abstraction. While operations without user-defined code can be executed efficiently, the execution of UDFs is dominated by serialized data exchange between the dataflow engine and an external R process that evaluates the code. We present a new approach to execute user-defined functions by using the Truffle/Graal compiler infrastructure, which enables efficient execution of dynamic languages on the JVM. Based on fastR, the R language provided by this infrastructure, we exemplify the execution of R scripts directly inside the data pipelines of Flink, without data serialization and inter-process communication. Furthermore, we discuss future opportunities and problems, and compare our approach to native Flink, Spark, and SparkR.

Flink Forward Berlin 2017: Andreas Kunft - Efficiently executing R Dataframes...

Flink Forward

One of the most underrated features of Kubernetes is namespaces. In the market, instead of using this feature, people are still stuck with having different clusters for their environments. This talk will try to break this approach, and will introduce how we end up using ephemeral namespaces within our CI/CD pipeline. It will cover the architecture of our system for running the user acceptance tests on isolated ephemeral namespaces with every bits and pieces running within pods. While doing this, we will set up our CI/CD pipeline on top of TravisCI, GoCD, and Selenium that is controlled by Nightwatch.js. Sched Link: http://sched.co/6Bcb

KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline

KubeAcademy

Last year we (TouK) introduced Flink in one of the biggest polish telcoms in the domain of real time marketing and fraud detection. One of the most significant problems in adoption was lack of programming skills at our client - the users were supposed to be analytics/business people. Therefore, we developed a custom platform - TouK Nussknacker - which allows users to design processes with GUI by drawing diagrams. Our project is going to be open-sourced soon - this will happen before Flink Forward. We believe it can make stream processing with Flink more accessible in many use cases, especially in companies that don't have their own development teams. During the talk I’m going to describe architecture of our platform, why we made certain design decisions and about our future plans. I’ll also describe our experiences - when being able to use GUI is great and when it’s better to develop jobs as normal code. If time permits I’ll also show a quick demo of our solution.

Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...

Flink Forward

Was ist angesagt? (20)

MongoDB World 2016: Implementing Async Networking in MongoDB 3.2

Introduction to GraalVM

Native Java with GraalVM

C# 5 deep drive into asynchronous programming

Synchronizing parallel delivery flows in jenkins using groovy, build flow and...

Flink Forward Berlin 2017: Piotr Wawrzyniak - Extending Apache Flink stream p...

Types - slice, map, new, make, struct - Gopherlabs

Async in .NET

Async/Await Best Practices

Big data: Loading your data with flume and sqoop

Scrum-ban: Time-boxes and flow

Java 7 & 8

Flink Forward Berlin 2017: Zohar Mizrahi - Python Streaming API

What's coming in Airflow 2.0? - NYC Apache Airflow Meetup

Quick test professional (qtp) online training

Open Source Load Testing: JMeter, Gatling and Taurus

Ceilometer juno-midpoint

Flink Forward Berlin 2017: Andreas Kunft - Efficiently executing R Dataframes...

KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline

Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...

Andere mochten auch

Wight: Phantom’s Perl friend - YAPC::Asia 2012

Hiroshi Shibamura

ZeroMQ in PHP

José Lorenzo Rodríguez Urdaneta

Deploying Plack Web Applications: OSCON 2011

Tatsuhiko Miyagawa

Remedie: Building a desktop app with HTTP::Engine, SQLite and jQuery

Tatsuhiko Miyagawa

No Hugging, No Learning

Olaf Alders

Carton CPAN dependency manager

Tatsuhiko Miyagawa

Network Programming With Anyevent

Pedro Melo

Intro to PSGI and Plack

Tatsuhiko Miyagawa

Tatsumaki

Tatsuhiko Miyagawa

Andere mochten auch (9)

Wight: Phantom’s Perl friend - YAPC::Asia 2012

ZeroMQ in PHP

Deploying Plack Web Applications: OSCON 2011

Remedie: Building a desktop app with HTTP::Engine, SQLite and jQuery

No Hugging, No Learning

Carton CPAN dependency manager

Network Programming With Anyevent

Intro to PSGI and Plack

Tatsumaki

Ähnlich wie CPAN Realtime feed

CPAN Module Maintenance

Dave Cross

Oleksandr Tarasenko "Using Kafka in your python applications"

Fwdays

Using Kafka in your python application - Python fwdays 2020

Oleksandr Tarasenko

Apache Beam (incubating) is a unified batch and streaming data processing programming model that is efficient and portable. Beam evolved from a decade of system-building at Google, and Beam pipelines run today on both open source (Apache Flink, Apache Spark) and proprietary (Google Cloud Dataflow) runners. This talk will focus on I/O and connectors in Apache Beam, specifically its APIs for efficient, parallel, adaptive I/O. Google will discuss how these APIs enable a Beam data processing pipeline runner to dynamically rebalance work at runtime, to work around stragglers, and to automatically scale up and down cluster size as a job’s workload changes. Together these APIs and techniques enable Apache Beam runners to efficiently use computing resources without compromising on performance or correctness. Practical examples and a demonstration of Beam will be included.

Introduction to Apache Beam & No Shard Left Behind: APIs for Massive Parallel...

Dan Halperin

Revisiting ppm

charsbar

Kube-proxy enables access to Kubernetes services (virtual IPs backed by pods) by configuring client-side load-balancing on nodes. The first implementation relied on a userspace proxy which was not very performant. The second implementation used iptables and is still the one used in most Kubernetes clusters. Recently, the community introduced an alternative based on IPVS. This talk will start with a description of the different modes and how they work. It will then focus on the IPVS implementation, the improvements it brings, the issues we encountered and how we fixed them as well as the remaining challenges and how they could be addressed. Finally, the talk will present alternative solutions based on eBPF such as Cilium.

Evolution of kube-proxy (Brussels, Fosdem 2020)

Laurent Bernaille

This is the presentation given at the Symfony Live 2011 conference. It is an introduction to the new agile movement spreading in the technical operations community called DevOps and how to adopt it on web development projects, in particular Symfony projects. Plan of the slides : - Configuration Management - Development VM - Scripted deployment - Continuous deployment Tools presented in the slides: - Puppet - Vagrant - Fabric - Jenkins / Hudson

Adopt DevOps philosophy on your Symfony projects (Symfony Live 2011)

Fabrice Bernhard

rhaco updates - php conference japan 2010

Keisuke SATO

Over the years at Yelp, we have relied on Kafka to build many complex applications and stream processing data-pipelines that solve a multitude of use cases, including powering our product experimentation workflow, search indexing, asynchronous task processing and more. Today, Kafka is at the core of our infrastructure. These applications use different versions of Kafka clients and different programming languages.To fulfill the requirements of these diverse use cases, we run several specialized Kafka clusters for high-availability, consistency, exactly-once and infinite retention. We endeavor to keep our clusters up-to-date with newer Kafka versions that bring with them several critical bug fixes and exciting features like dynamic broker configuration, exactly-once semantics, kafka offset management and improved tooling. Our journey with Kafka started with version 0.8.2.0. Upgrading Kafka while ensuring client compatibility, zero-downtime, negligible performance degradation across our ever-growing multi-regional cluster deployment exposed us to a plethora of unique challenges. This session will focus on the challenges we encountered and how we evolved our infrastructure tooling and upgrade strategy to overcome them. I will be talking about: -- How we rolled out new features such as kafka offset storage, message timestamp, reassignment auto-throttling, etc. -- Core technical issues discovered during upgrades such as failure of log cleaners due to large offsets while upgrading. -- The in-house test-suite that we built in order to: validate new kafka versions against our existing tooling and client-libraries, exercise the upgrade and rollback process and benchmark performance. -- The automation we built for safe and fast rolling upgrades and broker configuration deployment.

Running large scale Kafka upgrades at Yelp (Manpreet Singh,Yelp) Kafka Summit...

confluent

Kanban Method July 2018

Rodrigo Vieira

WSO2 API Manager Community Call - November 2021

WSO2

Flink is a great stream processor, Python is a great programming language, Apache Beam is a great programming model and portability layer. Using all three together is a great idea! We will demo and discuss writing Beam Python pipelines and running them on Flink. We will cover Beam's portability vision that led here, what you need to know about how Beam Python pipelines are executed on Flink, and where Beam's portability framework is headed next (hint: Python pipelines reading from non-Python connectors)

Flink Forward Berlin 2017: Aljoscha Krettek - Talk Python to me: Stream Proce...

Flink Forward

Ad Server Optimization

Abhishek Parwal

Open Source tools overview

Luciano Resende

Monitoring Kafka w/ Prometheus

kawamuray

Fastly Altitude - June 25, 2015. Joe Williams, Computer Operator at GitHub discusses using a CDN to mitigate security threats. Video of the talk: http://fastly.us/Altitude2015_Mitigating-Security-Threats-2 Joe's bio: Joe Williams is a Computer Operator at GitHub, and joined their infrastructure team in August 2013. Joe's passion for distributed systems, queuing theory and automation help keep the lights on. When not behind a computer you can generally find him riding a bicycle around Marin, CA.

Mitigating Security Threats with Fastly - Joe Williams at Fastly Altitude 2015

Fastly

Plack perl superglue for web frameworks and servers

Tatsuhiko Miyagawa

Modern Commandline Tool

Yuji Shimada

Talk Python To Me: Stream Processing in your favourite Language with Beam on ...

Aljoscha Krettek

The goal of Continuous Delivery is, briefly, to get features into your users' or customers' hands as quickly and confidently as possible. In order to succeed, Development and Operations teams need to align and come up with both working and deployable software in short, regular intervals. Chef, Puppet, Ansible & Co. enable teams to code up application runtime environments, but alone do not allow for building quality into their processes. In this presentation I will show how you can apply the "Red, Green, Refactor Cycle" of Test-Driven Development and combine it with your configuration management or orchestration tool of choice in order to come up with better infrastructure that can automatically be tested using Puppet, Test Kitchen, Docker, Serverspec and RSpec.

Test-Driven Infrastructure with Puppet, Test Kitchen, Serverspec and RSpec

Martin Etmajer

Ähnlich wie CPAN Realtime feed (20)

CPAN Module Maintenance

Oleksandr Tarasenko "Using Kafka in your python applications"

Using Kafka in your python application - Python fwdays 2020

Introduction to Apache Beam & No Shard Left Behind: APIs for Massive Parallel...

Revisiting ppm

Evolution of kube-proxy (Brussels, Fosdem 2020)

Adopt DevOps philosophy on your Symfony projects (Symfony Live 2011)

rhaco updates - php conference japan 2010

Running large scale Kafka upgrades at Yelp (Manpreet Singh,Yelp) Kafka Summit...

Kanban Method July 2018

WSO2 API Manager Community Call - November 2021

Flink Forward Berlin 2017: Aljoscha Krettek - Talk Python to me: Stream Proce...

Ad Server Optimization

Open Source tools overview

Monitoring Kafka w/ Prometheus

Mitigating Security Threats with Fastly - Joe Williams at Fastly Altitude 2015

Plack perl superglue for web frameworks and servers

Modern Commandline Tool

Talk Python To Me: Stream Processing in your favourite Language with Beam on ...

Test-Driven Infrastructure with Puppet, Test Kitchen, Serverspec and RSpec

Mehr von Tatsuhiko Miyagawa

Plack at OSCON 2010

Tatsuhiko Miyagawa

cpanminus at YAPC::NA 2010

Tatsuhiko Miyagawa

Plack at YAPC::NA 2010

Tatsuhiko Miyagawa

PSGI/Plack OSDC.TW

Tatsuhiko Miyagawa

Plack - LPW 2009

Tatsuhiko Miyagawa

Asynchronous programming with AnyEvent

Tatsuhiko Miyagawa

Building a desktop app with HTTP::Engine, SQLite and jQuery

Tatsuhiko Miyagawa

Remedie OSDC.TW

Tatsuhiko Miyagawa

Why Open Matters It Pro Challenge 2008

Tatsuhiko Miyagawa

20 modules i haven't yet talked about

Tatsuhiko Miyagawa

Web::Scraper for SF.pm LT

Tatsuhiko Miyagawa

Web Scraper Shibuya.pm tech talk #8

Web::Scraper

XML::Liberal

Test::Base

Hacking Vox and Plagger

Tatsuhiko Miyagawa

Plagger the duct tape of internet

Tatsuhiko Miyagawa

Tilting Google Maps and MissileLauncher

Tatsuhiko Miyagawa

Writing Pluggable Software

Tatsuhiko Miyagawa

How we build Vox

Tatsuhiko Miyagawa

Mehr von Tatsuhiko Miyagawa (20)

Plack at OSCON 2010

cpanminus at YAPC::NA 2010

Plack at YAPC::NA 2010

PSGI/Plack OSDC.TW

Plack - LPW 2009

Asynchronous programming with AnyEvent

Building a desktop app with HTTP::Engine, SQLite and jQuery

Remedie OSDC.TW

Why Open Matters It Pro Challenge 2008

20 modules i haven't yet talked about

Web::Scraper for SF.pm LT

Web Scraper Shibuya.pm tech talk #8

Web::Scraper

XML::Liberal

Test::Base

Hacking Vox and Plagger

Plagger the duct tape of internet

Tilting Google Maps and MissileLauncher

Writing Pluggable Software

How we build Vox

Kürzlich hochgeladen

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Scaling API-first – The story of a global engineering organization

Radu Cotescu

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Histor y of HAM Radio presentation slide

vu2urc

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

Igalia

Presentation on how to chat with PDF using ChatGPT code interpreter

naman860154

Slack Application Development 101 Slides

praypatel2

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Delhi Call girls

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Finology Group – Insurtech Innovation Award 2024

The Digital Insurer

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Real Time Object Detection Using Open CV

Khem

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

UK Journal

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

wesley chun

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

A Call to Action for Generative AI in 2024

Results

Kürzlich hochgeladen (20)

Boost PC performance: How more available memory can improve productivity

Scaling API-first – The story of a global engineering organization

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Histor y of HAM Radio presentation slide

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

A Year of the Servo Reboot: Where Are We Now?

Presentation on how to chat with PDF using ChatGPT code interpreter

Slack Application Development 101 Slides

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

A Domino Admins Adventures (Engage 2024)

Finology Group – Insurtech Innovation Award 2024

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Real Time Object Detection Using Open CV

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Powerful Google developer tools for immediate impact! (2023-24 C)

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

How to Troubleshoot Apps for the Modern Connected Worker

A Call to Action for Generative AI in 2024