Ceph Day Beijing - Global Deduplication Solution for Ceph

•

0 likes•47 views

Inspur has been working on improving Ceph for small file workloads and all-flash solutions. Some of the issues they are addressing include: high load on the RADOS gateway from frequent access between NAS and the file system with a single metadata daemon; problems with high workloads on the file system around attributes, opens, closes; and too many small objects being written to disks impacting performance. Their solutions include multi-metadata daemon support, small file aggregation to reduce objects, optimizations to the OSD single process model, and deduplication.

Technology

Inspur’s works on Ceph
Small Files & All Flash

1
2 All Flash Solution
Lots of Small Files

Too much access between NAS and FS
Single MDS
High workloads on RADOS
Connections occupy too much resources
Problems of File System

Problems of File System
getattr
CIFS
setattr open close
NFS FUSE Others
NAS
write read
CLIENT
MDS
RADOS
MDCache MDLog

MetaData leases
Multi MDS
Small file aggregation
OSD single process
Solutions

Problems of File System
v-subdir
CIFS
v-subdir v-subdir
dir
NFS FUSE Others
NAS
CLIENT
MDS
Metadata pool
v-subdir
MDS MDS
v-subdir v-subdir
OBJ OBJ OBJ

Small File Aggregation
Client
Disks
FUSE NAS
filefilefilefilefilefile1
Storage Pool
obj1
obj1’
file1 file2 file3 … fileN
obj2
Obj2’
obj3
obj’
objN
objN’
…
MDS
Client
Disks
Storage Pool
file2 file3file1 … fileN
AGG_FILE1
AGG_OBJ1
AGG_OBJ1’
MDS
File Aggregation
FUSE NAS
filefilefilefilefilefile1
 More objects write disks , low
performance
 Small files aggregate large
objects, reducing the objects
number with high performance

Success deploy NVMe+BlueStore+SPDK based on Kraken
IO stack optimization
Deduplication
All Flash

Multi-Thread pool for TGT
Asyn IO for TGT
Data affinity
OSD sequence write problem
IO stack optimization

Deduplication
data
Fingerprint
(fp)
hash
OBJ(data)
CRUSH fp
osd osdosd …
OSDs
osd osd
CRUSH OID
OBJ(fp idx)
RADOS Dedup
MDS(fp idx)
FS Dedup
data
fingerprintfp
fp
fp

Deduplication
File system Deduplication RADOS Deduplication
Fingerprint
location
In metadata Original data location
Performance new write、read、del， same as no dedup,
modify write 30% worse
new write, read, del 30% worse；modify write
50% worse
Interface FS FS、RBD、RGW
MetaData ocfp_0 ocfp_1 ocfp_n
ino CRUSH

Redis is an advanced in memory key-value store designed for a world where "Memory is the new disk and disk is the new tape". Redis has some unique properties -- like blazing read and write speed, rich atomic operations and asynchronous persistence -- which make it ideally suited for a number of situations. The tutorial includes an introduction to redis, data types used for redis, performance related to redis, sweet spots of redis, design consideration/best practices, adopters of redis. Begins with a section giving an introduction to redis which includes an introduction to redis and the features of redis. It also includes a brief history of redis, characteristics of redis, language support of redis. Following is a data types section. It includes the data types of redis like strings, lists, hashes, sets, sorted sets. It also includes not thinking of redis as an RDBMS, installation, atomicity of commands, key expiration. Moreover, it also includes operations on lists, sets, sorted sets, hashes, keys, redis administration command. Alongside there is a section about performance of redis which includes the performance given by redis like hardware, payload size, batch size. It also includes benchmarks attained by redis, a demo version of redis, data durability and advantages of persistence. Then comes a section about sweet spots of redis. It includes sweet spots like cache server, tag cloud, auto completion, activity feeds and many more sweet spots. It also includes case studies as a video marketing platform, content publishing app etc. A neighbouring section to this is about best practices which includes the design considerations and best practices of redis like avoid excessive long keys, have human readable keys, all data must fit in memory, polygot persistence is a smart choice and many more practices and design considerations. The last section of this tutorial includes some adopters of redis like stack overflow, craiglist, github, Instagram, blizzard entertainment.

Redis for horizontally scaled data processing at jFrog bintray

Redis Labs

Perforce BTrees: The Arcane and the Profane

Perforce

Scaling HDFS with a Strongly Consistent Relational Model for Metadata

Hooman Peiro Sajjad

Twitter Fatcache

its_skm

Perforce Server: The Next Generation

Perforce

G zip compresser pptgaurav kumar

Smb 3-odx-traffic

gordonross

SMB3 Offload Data Transfer (ODX)

gordonross

Redis/Lessons learned

Tit Petric

Realtime Search Infrastructure at Craigslist (OpenWest 2014)

Jeremy Zawodny

An Introduction to REDIS NoSQL database

Ali MasudianPour

Managing 50K+ Redis Databases Over 4 Public Clouds ... with a Tiny Devops Team

Redis Labs

A presentation by Redis Labs' CTO, Yiftach Shoolman, given at the July 2nd meet up, hosted by I am OnDemand and IGT Cloud at the Microsoft ILDC Auditorium. See the video at: https://www.youtube.com/watch?v=eymqHZaUOH4 In this In this session Yiftach shares tips on how the company manages 50,000+ scalable and highly avaliable Redis databases over the 4 largest public clouds, 8 leading Platforms-as-a-Service, and across 10 geographical regions. He explains the service's back-end architecture, the open-source projects it uses, and which tools the company builds in-house. Shoolman also shares what Redis Labs' small DevOps team does automatically, and what it still does manually. Finally, he offers advice on how to build a strong R&D team that lives and breathes DevOps. Since the company launched its Redis Cloud service, it has dealt with 150+ node failure events and a half-dozen complete data-center outages. In addition, its team has experienced many interesting scenarios, such as hard to believe scaling patterns like 0 to a few hundreds gigabytes of in-memory data in just a few minutes, and 0 to 300K+ ops/sec in just a few seconds.

Living with SQL and NoSQL at craigslist, a Pragmatic Approach

Jeremy Zawodny

From the 2012 Percona Live MySQL Conference in Santa Clara, CA. Craigslist uses a variety of data storage systems in its backend systems: in-memory, SQL, and NoSQL. This talk is an overview of how craigslist works with a focus on the data storage and management choices that were made in each of its major subsystems. These include MySQL, memcached, Redis, MongoDB, Sphinx, and the filesystem. Special attention will be paid to the benefits and tradeoffs associated with choosing from the various popular data storage systems, including long-term viability, support, and ease of integration.

Managing Redis with Kubernetes - Kelsey Hightower, Google

Redis Labs

Google file systemDhan V Sagar

Caching methodology and strategies

Tiep Vu

04 Bobcat LANEvan Merrill

Powering Microservices with Docker, Kubernetes, Kafka, and MongoDB

MongoDB

Speaker: Andrew Morgan, Principal Product Marketing Manager, MongoDB Level: 100 (Beginner) Track: Microservices Organizations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. Want to try out MongoDB on your laptop? Execute a single command and you have a lightweight, self-contained sandbox; another command removes all trace when you're done. Replicate your complete application for your development, test, operations, and support teams. This session introduces you to technologies such as Docker, Kubernetes, and Kafka, which are driving the microservices revolution. Learn about containers and orchestration – and most importantly, how to exploit them for stateful services such as MongoDB. What You Will Learn: - Why organizations are choosing to use microservice architectures, what benefits they deliver, and when they should - or shouldn't - be used. - Technologies that are used to build microservices – including containers, orchestration and messaging systems. - Why MongoDB is a good fit for microservices and what special steps need to be taken to make them work well together.

Hadoop at a glance

Tan Tran

HDFS.ppt

ssuserec53e73

Understanding Hadoop

Mahendran Ponnusamy

What's hot

Introduction to Redis

TO THE NEW | Technology

Redis for horizontally scaled data processing at jFrog bintray

Redis Labs

Perforce BTrees: The Arcane and the Profane

Perforce

Scaling HDFS with a Strongly Consistent Relational Model for Metadata

Hooman Peiro Sajjad

Twitter Fatcache

its_skm

Perforce Server: The Next Generation

Perforce

G zip compresser pptgaurav kumar

Smb 3-odx-traffic

gordonross

SMB3 Offload Data Transfer (ODX)

gordonross

Redis/Lessons learned

Tit Petric

Realtime Search Infrastructure at Craigslist (OpenWest 2014)

Jeremy Zawodny

An Introduction to REDIS NoSQL database

Ali MasudianPour

Managing 50K+ Redis Databases Over 4 Public Clouds ... with a Tiny Devops Team

Redis Labs

Living with SQL and NoSQL at craigslist, a Pragmatic Approach

Jeremy Zawodny

Managing Redis with Kubernetes - Kelsey Hightower, Google

Redis Labs

Google file systemDhan V Sagar

Caching methodology and strategies

Tiep Vu

04 Bobcat LANEvan Merrill

Powering Microservices with Docker, Kubernetes, Kafka, and MongoDB

MongoDB

What's hot (19)

Introduction to Redis

Redis for horizontally scaled data processing at jFrog bintray

Perforce BTrees: The Arcane and the Profane

Scaling HDFS with a Strongly Consistent Relational Model for Metadata

Twitter Fatcache

Perforce Server: The Next Generation

G zip compresser ppt

Smb 3-odx-traffic

SMB3 Offload Data Transfer (ODX)

Redis/Lessons learned

Realtime Search Infrastructure at Craigslist (OpenWest 2014)

An Introduction to REDIS NoSQL database

Managing 50K+ Redis Databases Over 4 Public Clouds ... with a Tiny Devops Team

Living with SQL and NoSQL at craigslist, a Pragmatic Approach

Managing Redis with Kubernetes - Kelsey Hightower, Google

Google file system

Caching methodology and strategies

04 Bobcat LAN

Powering Microservices with Docker, Kubernetes, Kafka, and MongoDB

Similar to Ceph Day Beijing - Global Deduplication Solution for Ceph

Hadoop at a glance

HDFS.ppt

Understanding Hadoop

HDFS.ppt

Hadoop and HDFS

In this session you will learn: History of Hadoop Hadoop Ecosystem Hadoop Animal Planet What is Hadoop? Distinctions of Hadoop Hadoop Components The Hadoop Distributed Filesystem Design of HDFS When Not to use Hadoop? HDFS Concepts Anatomy of a File Read Anatomy of a File Write Replication & Rack awareness Mapreduce Components Typical Mapreduce Job To know more, click here: https://www.mindsmapped.com/courses/big-data-hadoop/big-data-and-hadoop-training-for-beginners/

Introduction to HDFS

Siddharth Mathur

Hdfs

Chandramouli M

module 2.pptx

ssuser6e8e41

Hadoop Interview Questions And Answers Part-1 | Big Data Interview Questions ...

Simplilearn

This video on Hadoop interview questions part-1 will take you through the general Hadoop questions and questions on HDFS, MapReduce and YARN, which are very likely to be asked in any Hadoop interview. It covers all the topics on the major components of Hadoop. This Hadoop tutorial will give you an idea about the different scenario-based questions you could face and some multiple-choice questions as well. Now, let us dive into this Hadoop interview questions video and gear up for youe next Hadoop Interview. What is this Big Data Hadoop training course about? The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. What are the course objectives? This course will enable you to: 1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training

Lisa 2015-gluster fs-introduction

Gluster.org

Hadoop Architecture | HDFS Architecture | Hadoop Architecture Tutorial | HDFS...

Simplilearn

This presentation about Hadoop architecture will help you understand the architecture of Apache Hadoop in detail. In this video, you will learn what is Hadoop, components of Hadoop, what is HDFS, HDFS architecture, Hadoop MapReduce, Hadoop MapReduce example, Hadoop YARN and finally, a demo on MapReduce. Apache Hadoop offers a versatile, adaptable and reliable distributed computing big data framework for a group of systems with capacity limit and local computing power. After watching this video, you will also understand the Hadoop Distributed File System and its features along with the practical implementation. Below are the topics covered in this Hadoop Architecture presentation: 1. What is Hadoop? 2. Components of Hadoop 3. What is HDFS? 4. HDFS Architecture 5. Hadoop MapReduce 6. Hadoop MapReduce Example 7. Hadoop YARN 8. Demo on MapReduce What are the course objectives? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training

Distributed File System

Ntu

Breaking the 1 Million OPS/SEC Barrier in HOPS Hadoop

DataWorks Summit/Hadoop Summit

In this talk, we will present a new distribution of Hadoop, Hops, that can scale the Hadoop Filesystem (HDFS) by 16X, from 70K ops/s to 1.2 million ops/s on Spotiy's industrial Hadoop workload. Hops is an open-source distribution of Apache Hadoop that supports distributed metadata for HSFS (HopsFS) and the ResourceManager in Apache YARN. HopsFS is the first production-grade distributed hierarchical filesystem to store its metadata normalized in an in-memory, shared nothing database. For YARN, we will discuss optimizations that enable 2X throughput increases for the Capacity scheduler, enabling scalability to clusters with >20K nodes. We will discuss the journey of how we reached this milestone, discussing some of the challenges involved in efficiently and safely mapping hierarchical filesystem metadata state and operations onto a shared-nothing, in-memory database. We will also discuss the key database features needed for extreme scaling, such as multi-partition transactions, partition-pruned index scans, distribution-aware transactions, and the streaming changelog API. Hops (www.hops.io) is Apache-licensed open-source and supports a pluggable database backend for distributed metadata, although it currently only support MySQL Cluster as a backend. Hops opens up the potential for new directions for Hadoop when metadata is available for tinkering in a mature relational database.

Introduction_to_HDFS sun.pptx

sunithachphd

Big data interview questions and answers

Kalyan Hadoop

Architecture of the Upcoming OrangeFS v3 Distributed Parallel File System

All Things Open

Introduction to HDFS

Bhavesh Padharia

HDFS Analysis for Small Files

DataWorks Summit/Hadoop Summit

MongoDB in Windows Azure - Evgeniy Maliy - Dnipropetrovsk MUG 140303

Victoria Malaya

Hadoop HDFS by rohitkapa

kapa rohit

Similar to Ceph Day Beijing - Global Deduplication Solution for Ceph (20)

Hadoop at a glance

HDFS.ppt

Understanding Hadoop

HDFS.ppt

Hadoop and HDFS

Introduction to HDFS

Hdfs

module 2.pptx

Hadoop Interview Questions And Answers Part-1 | Big Data Interview Questions ...

Lisa 2015-gluster fs-introduction

Hadoop Architecture | HDFS Architecture | Hadoop Architecture Tutorial | HDFS...

Distributed File System

Breaking the 1 Million OPS/SEC Barrier in HOPS Hadoop

Introduction_to_HDFS sun.pptx

Big data interview questions and answers

Architecture of the Upcoming OrangeFS v3 Distributed Parallel File System

Introduction to HDFS

HDFS Analysis for Small Files

MongoDB in Windows Azure - Evgeniy Maliy - Dnipropetrovsk MUG 140303

Hadoop HDFS by rohitkapa

Recently uploaded

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

Sri Ambati

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Tobias Schneck

As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...

UiPathCommunity

💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™: See how to accelerate model training and optimize model performance with active learning Learn about the latest enhancements to out-of-the-box document processing – with little to no training required Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath. Speakers: 👨‍🏫 Andras Palfi, Senior Product Manager, UiPath 👩‍🏫 Lenka Dulovicova, Product Program Manager, UiPath

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

91mobiles

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

BookNet Canada

The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more. Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/ Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ThousandEyes

Generating a custom Ruby SDK for your web service or Rails API using Smithy

g2nightmarescribd

Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.

Epistemic Interaction - tuning interfaces to provide information for AI support

Alan Dix

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Product School

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Inflectra

In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

JMeter webinar - integration with InfluxDB and Grafana

RTTS

Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

FIDO Alliance

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Prayukth K V

The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development. The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers: State of global ICS asset and network exposure Sectoral targets and attacks as well as the cost of ransom Global APT activity, AI usage, actor and tactic profiles, and implications Rise in volumes of AI-powered cyberattacks Major cyber events in 2024 Malware and malicious payload trends Cyberattack types and targets Vulnerability exploit attempts on CVEs Attacks on counties – USA Expansion of bot farms – how, where, and why In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East Why are attacks on smart factories rising? Cyber risk predictions Axis of attacks – Europe Systemic attacks in the Middle East Download the full report from here: https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

Ramesh Iyer

In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Product School

Recently uploaded (20)