This talk briefly outlines the Storm framework and Neo4J graph database, and how to compositely use them to perform computations on complex graphs in Python using the Petrel and Py2neo packages. This talk was given at PyCon India 2013.
Storm is a distributed, reliable, fault-tolerant system for processing streams of data.
In this track we will introduce Storm framework, explain some design concepts and considerations, and show some real world examples to explain how to use it to process large amounts of data in real time, in a distributed environment. We will describe how we can scale this solution very easily as more data need to be processed.
We will explain all you need to know to get started with Storm and some tips on how to get your Spouts, Bolts and Topologies up and running in the cloud.
Apache Storm 0.9 basic training - VerisignMichael Noll
Apache Storm 0.9 basic training (130 slides) covering:
1. Introducing Storm: history, Storm adoption in the industry, why Storm
2. Storm core concepts: topology, data model, spouts and bolts, groupings, parallelism
3. Operating Storm: architecture, hardware specs, deploying, monitoring
4. Developing Storm apps: Hello World, creating a bolt, creating a topology, running a topology, integrating Storm and Kafka, testing, data serialization in Storm, example apps, performance and scalability tuning
5. Playing with Storm using Wirbelsturm
Audience: developers, operations, architects
Created by Michael G. Noll, Data Architect, Verisign, https://www.verisigninc.com/
Verisign is a global leader in domain names and internet security.
Tools mentioned:
- Wirbelsturm (https://github.com/miguno/wirbelsturm)
- kafka-storm-starter (https://github.com/miguno/kafka-storm-starter)
Blog post at:
http://www.michael-noll.com/blog/2014/09/15/apache-storm-training-deck-and-tutorial/
Many thanks to the Twitter Engineering team (the creators of Storm) and the Apache Storm open source community!
Slides from talk given at the NYC Cassandra Meetup. Discussing how Storm works and how it integrates well with Apache Cassandra.
There is also a segway into a example project that uses Storm and Cassandra to implement a scalable reactive web crawler.
http://github.com/tjake/stormscraper
Storm-on-YARN: Convergence of Low-Latency and Big-DataDataWorks Summit
adoop plays a central role for Yahoo! to provide personalized experiences for our users and create value for our advertisers. In this talk, we will discuss the convergence of low-latency processing and Hadoop platform. To enable the convergence, we have developed Storm-on-YARN to enable Storm streaming/microbatch applications and Hadoop batch applications hosted in a single cluster. Storm applications could leverage YARN for resource management, and apply Hadoop style security to Hadoop datasets on HDFS and HBase. In Storm-on-YARN, YARN is used to launch Storm application master (Nimbus), and enable Nimbus to request resources for Storm workers (Supervisors). YARN resource manager and Storm scheduler work together to support multi-tenancy and high availability. HDFS enables Storm to achieve higher availability of Nimbus itself. We are introducing Hadoop style security into Storm through JAAS authentication (Kerberos and Digest). Storm servers (Nimbus and DRPC) will be configured with authorization plugins for access control and audit. The security context enables Storm applications to access authorized datasets only (including those created by Hadoop applications). Yahoo! is making our contribution on Storm and YARN available as open source. We will work with industry partners to foster the convergence of low-latency processing and big-data.
Storm is a distributed, reliable, fault-tolerant system for processing streams of data.
In this track we will introduce Storm framework, explain some design concepts and considerations, and show some real world examples to explain how to use it to process large amounts of data in real time, in a distributed environment. We will describe how we can scale this solution very easily as more data need to be processed.
We will explain all you need to know to get started with Storm and some tips on how to get your Spouts, Bolts and Topologies up and running in the cloud.
Apache Storm 0.9 basic training - VerisignMichael Noll
Apache Storm 0.9 basic training (130 slides) covering:
1. Introducing Storm: history, Storm adoption in the industry, why Storm
2. Storm core concepts: topology, data model, spouts and bolts, groupings, parallelism
3. Operating Storm: architecture, hardware specs, deploying, monitoring
4. Developing Storm apps: Hello World, creating a bolt, creating a topology, running a topology, integrating Storm and Kafka, testing, data serialization in Storm, example apps, performance and scalability tuning
5. Playing with Storm using Wirbelsturm
Audience: developers, operations, architects
Created by Michael G. Noll, Data Architect, Verisign, https://www.verisigninc.com/
Verisign is a global leader in domain names and internet security.
Tools mentioned:
- Wirbelsturm (https://github.com/miguno/wirbelsturm)
- kafka-storm-starter (https://github.com/miguno/kafka-storm-starter)
Blog post at:
http://www.michael-noll.com/blog/2014/09/15/apache-storm-training-deck-and-tutorial/
Many thanks to the Twitter Engineering team (the creators of Storm) and the Apache Storm open source community!
Slides from talk given at the NYC Cassandra Meetup. Discussing how Storm works and how it integrates well with Apache Cassandra.
There is also a segway into a example project that uses Storm and Cassandra to implement a scalable reactive web crawler.
http://github.com/tjake/stormscraper
Storm-on-YARN: Convergence of Low-Latency and Big-DataDataWorks Summit
adoop plays a central role for Yahoo! to provide personalized experiences for our users and create value for our advertisers. In this talk, we will discuss the convergence of low-latency processing and Hadoop platform. To enable the convergence, we have developed Storm-on-YARN to enable Storm streaming/microbatch applications and Hadoop batch applications hosted in a single cluster. Storm applications could leverage YARN for resource management, and apply Hadoop style security to Hadoop datasets on HDFS and HBase. In Storm-on-YARN, YARN is used to launch Storm application master (Nimbus), and enable Nimbus to request resources for Storm workers (Supervisors). YARN resource manager and Storm scheduler work together to support multi-tenancy and high availability. HDFS enables Storm to achieve higher availability of Nimbus itself. We are introducing Hadoop style security into Storm through JAAS authentication (Kerberos and Digest). Storm servers (Nimbus and DRPC) will be configured with authorization plugins for access control and audit. The security context enables Storm applications to access authorized datasets only (including those created by Hadoop applications). Yahoo! is making our contribution on Storm and YARN available as open source. We will work with industry partners to foster the convergence of low-latency processing and big-data.
Talk held at the FrOSCon 2013 on 24.08.2013 in Sankt Augustin, Germany
Agenda:
- Why Twitter Storm?
- What is Twitter Storm?
- What to do with Twitter Storm?
Real-Time Big Data at In-Memory Speed, Using StormNati Shalom
Storm, a popular framework from Twitter, is used for real-time event processing. The challenge presented is how to manage the state of your real-time data processing at all times. In addition, you need Storm to integrate with your batch processing system (such as Hadoop) in a consistent manner.
This session will demonstrate how to integrate Storm with an in-memory database/grid, and explore various strategies for integrating the data grid with Hadoop and Cassandra, seamlessly. By achieving smooth integration with consistent management, you will be able to easily manage all the tiers of you Big Data stack in a consistent and effective way.
- See more at: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5526#sthash.FWIdqRHh.dpuf
Learning Stream Processing with Apache StormEugene Dvorkin
Over the last couple years, Apache Storm became a de-facto standard for developing real-time analytics and complex event processing applications. Storm enables to tackle real-time data processing challenges the same way Hadoop enables batch processing of Big Data. Storm enables companies to have "Fast Data" alongside with "Big Data". Some use cases where Storm can be used are Fraud Detection, Operation Intelligence, Machine Learning, ETL, Analytics, etc.
In this meetup, Eugene Dvorkin, Architect @WebMD and NYC Storm User Group organizer will teach Apache Storm and Stream Processing fundamentals. While this meeting is geared toward new Storm users, experienced users may find something interesting as well.
Following topics will be covered:
• Why use Apache Storm?
• Common use cases
• Storm Architecture - components, concepts, topology
• Building simple Storm topology with Java and Groovy
• Trident and micro-batch processing
• Fault tolerance and guaranteed message delivery
• Running and monitoring Storm in production
• Kafka
• Storm at WebMD
• Resources
Real time big data analytics with Storm by Ron Bodkin of Think Big AnalyticsData Con LA
This talk provides an overview of the open source Storm system for processing Big Data in realtime. The talk starts with an overview of the technology, including key components: Nimbus, Zookeeper, Topology, Tuple, Trident. It looks at integration with Hadoop through YARN and recent improvements. The presentation then dives into the complex Big Data architecture in which Storm can be integrated . The result is a compelling stack of technologies including integrated Hadoop clusters, MPP, and NoSQL databases.
After this, we look at example use cases for Storm: real-time advertising statistics, updating a Machine Learned model for content popularity predictions, and financial compliance monitoring.
Morpheus Drive – A Simple File Sharing UI for Alfresco that Solves the Dropbo...rivetlogic
Enterprises of all shapes and sizes are struggling with the Dropbox "problem", which has surfaced as employees within most every organization are now using simple and easy-to-use consumer file sharing services such as Dropbox and Google Drive. The "problem" for the enterprise is that security, control, and ultimately the bottom line, are compromised. The enterprise has no way to track and control what content is where, and what happens to it once it's in the consumer cloud.
Enter Morpheus Drive, a new simple and easy-to-use file sharing UI for Alfresco, and an open source solution sponsored by Rivet Logic. You can take Morpheus Drive and use it as is, or you can easily morph it into whatever custom ECM solution your enterprise needs today and tomorrow.
We will provide an overview of the architecture and design of a lightweight content management system built on MongoDB. Ideally suited for managing social content -- creating a blog site, a discussion forum, or adding user generated content to an existing website -- Crafter Social is an open source Java app built on MongoDB. Our talk will focus on design considerations and MongoDB's unique features that make it perfectly suitable as a highly-scalable, multi-tenant social object store. We use MongoDB to store social objects of all types: user comments, threaded discussions, blog entries, and more. The document-oriented approach of MongoDB provides the foundation for social content management applications that need high-performance, high-scalability, and rapid speed of development. We also cover our design approach for user profile management, which supports configurable (on-the-fly) profile attributes, roles management, and pluggable authentication.
Talk held at the FrOSCon 2013 on 24.08.2013 in Sankt Augustin, Germany
Agenda:
- Why Twitter Storm?
- What is Twitter Storm?
- What to do with Twitter Storm?
Real-Time Big Data at In-Memory Speed, Using StormNati Shalom
Storm, a popular framework from Twitter, is used for real-time event processing. The challenge presented is how to manage the state of your real-time data processing at all times. In addition, you need Storm to integrate with your batch processing system (such as Hadoop) in a consistent manner.
This session will demonstrate how to integrate Storm with an in-memory database/grid, and explore various strategies for integrating the data grid with Hadoop and Cassandra, seamlessly. By achieving smooth integration with consistent management, you will be able to easily manage all the tiers of you Big Data stack in a consistent and effective way.
- See more at: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5526#sthash.FWIdqRHh.dpuf
Learning Stream Processing with Apache StormEugene Dvorkin
Over the last couple years, Apache Storm became a de-facto standard for developing real-time analytics and complex event processing applications. Storm enables to tackle real-time data processing challenges the same way Hadoop enables batch processing of Big Data. Storm enables companies to have "Fast Data" alongside with "Big Data". Some use cases where Storm can be used are Fraud Detection, Operation Intelligence, Machine Learning, ETL, Analytics, etc.
In this meetup, Eugene Dvorkin, Architect @WebMD and NYC Storm User Group organizer will teach Apache Storm and Stream Processing fundamentals. While this meeting is geared toward new Storm users, experienced users may find something interesting as well.
Following topics will be covered:
• Why use Apache Storm?
• Common use cases
• Storm Architecture - components, concepts, topology
• Building simple Storm topology with Java and Groovy
• Trident and micro-batch processing
• Fault tolerance and guaranteed message delivery
• Running and monitoring Storm in production
• Kafka
• Storm at WebMD
• Resources
Real time big data analytics with Storm by Ron Bodkin of Think Big AnalyticsData Con LA
This talk provides an overview of the open source Storm system for processing Big Data in realtime. The talk starts with an overview of the technology, including key components: Nimbus, Zookeeper, Topology, Tuple, Trident. It looks at integration with Hadoop through YARN and recent improvements. The presentation then dives into the complex Big Data architecture in which Storm can be integrated . The result is a compelling stack of technologies including integrated Hadoop clusters, MPP, and NoSQL databases.
After this, we look at example use cases for Storm: real-time advertising statistics, updating a Machine Learned model for content popularity predictions, and financial compliance monitoring.
Morpheus Drive – A Simple File Sharing UI for Alfresco that Solves the Dropbo...rivetlogic
Enterprises of all shapes and sizes are struggling with the Dropbox "problem", which has surfaced as employees within most every organization are now using simple and easy-to-use consumer file sharing services such as Dropbox and Google Drive. The "problem" for the enterprise is that security, control, and ultimately the bottom line, are compromised. The enterprise has no way to track and control what content is where, and what happens to it once it's in the consumer cloud.
Enter Morpheus Drive, a new simple and easy-to-use file sharing UI for Alfresco, and an open source solution sponsored by Rivet Logic. You can take Morpheus Drive and use it as is, or you can easily morph it into whatever custom ECM solution your enterprise needs today and tomorrow.
We will provide an overview of the architecture and design of a lightweight content management system built on MongoDB. Ideally suited for managing social content -- creating a blog site, a discussion forum, or adding user generated content to an existing website -- Crafter Social is an open source Java app built on MongoDB. Our talk will focus on design considerations and MongoDB's unique features that make it perfectly suitable as a highly-scalable, multi-tenant social object store. We use MongoDB to store social objects of all types: user comments, threaded discussions, blog entries, and more. The document-oriented approach of MongoDB provides the foundation for social content management applications that need high-performance, high-scalability, and rapid speed of development. We also cover our design approach for user profile management, which supports configurable (on-the-fly) profile attributes, roles management, and pluggable authentication.
The Java Virtual Machine is Over - The Polyglot VM is here - Marcus Lagergren...jaxLondonConference
Presented at JAX London 2013
Ever since Java’s inception, in 1995, people have been compiling languages that aren’t Java to bytecode and deploying them on the JVM. Lately we are seeing an explosion in JVM languages. This is partly, but not only, because of Java 7, the first JVM to ship with invokedynamic, which is a quantum leap in polyglot runtime implementation. This session explains why emerging language implementations are becoming more common and more feasible to implement on the JVM with satisfactory performance.
GraphPipe - Blazingly Fast Machine Learning Inference by Vish AbramsOracle Developers
GraphPipe is an open source protocol and collection of software designed to simplify machine learning model deployment and decouple it fromframework-specific model implementations.
These are the slides for the talk I did together with John Sullivan on how to use various open source technologies, like JFR and Open Tracing together to facilitate deep tracing of microservices written in Java. We also showed how these technologies are used in the Oracle Management Cloud APM solution.
Show how messaging is involved in the Spring projects. Demonstrate Spring Integration advanced topics, What's New, What Next. Introduction to Spring XD, Web Sockets and Reactor
Catching up with what has happened with logging in Docker since late 2014 all the way up to the recently released Docker 0.10. Also, presenting my view on a comprehensive approach to monitoring Docker using the API to get events, logs, stats with a little bit of self promotion in pointing out that we have recently released an implementation of comprehensive monitoring as part of a Sumo Logic collector source.
4th in the AskTOM Office Hours series on graph database technologies. https://devgym.oracle.com/pls/apex/dg/office_hours/3084
Learn how to visualize graphs – a powerful, intuitive way to interact with data. Using open source tools like Cytoscape or third party tools, you have several choices on how to visualize and interact with graphs from Oracle Database and big data platforms. Albert Godfrind (EMEA Solutions Architect) and Gabriela Montiel-Moreno (Software Development Manager) share all you need to get started, with detailed demos using a banking customer data set.
Full-stack Web Development with MongoDB, Node.js and AWSMongoDB
Akira Technologies will share its experience of building a universal scalable high-performance platform for conducting surveys. Using MongoDB allowed replacing dozens unique survey systems with a single flexible solution, improved data and questionnaire reusability, simplified data analysis. We will also cover full-stack development and integration with Node.js, Hadoop, deployment to AWS Cloud, offline caching and stress-tecting the entire system with Tsung. A working prototype will be demonstrated including multiple surveys, dynamically rebuilding interface, geolocation, data analysis and visualization.
GraalVM is a high-performance runtime for dynamic, static, and native languages. GraalVM supports Java, Scala, Kotlin, Groovy, and other JVM-based languages. At the same time, it can run the dynamic scripting languages JavaScript including node.js, Ruby, R, and Python. In this session we'll talk about the performance boost you can get from running your code on GraalVM, look at the examples of running typical web-applications with it, enhancing them with code in other languages, creating native images for incredibly fast startup and low memory overhead for your services. GraalVM offers you the opportunity to write the code in the language you want, and run the resulting program really fast.
Crafting enhanced customer experience through chatbots, beacons and oracle jetRohit Dhamija
Crafting Enhanced Customer Experience through Chatbots, Beacons and Oracle JET
Agenda
Transform the experience of customers at stadiums or shopping malls through holistic digital engagement. In the session, we will show you how a person will navigate challenges of large venues with multiple appealing stores by first initiating conversations with Chatbots upon entering and how to leverage the open source based AR frameworks in a responsive Oracle JET web application to enable augmented reality way finder to the desired store/seat. We will then show you how the person can acquire more information about the brands while at the venue through Eddystone beacons using OS agnostic smartphone and without the need of a native application. Come join us to develop holistic experience for a customer.
Components Involved
The solution will have following components
• Intelligent Chatbots
• Mobile Backend As a service
• Augmented Reality Based Web application
• Beacons for Proximity detection
Similar to Real Time Graph Computations in Storm, Neo4J, Python - PyCon India 2013 (20)
Internet of Things with Python & Serverless - PyCon MY 2019 - Kuala Lumpur, M...Sonal Raj
If you are crazy about python, automation, voice controlled applications and open to brainstorming programmable IOT ideas, then this is the talk for you! Your takeaway would a head start in building IOT device skills on serverless infra, discuss future ideas of useful skills and some cool app demos.
Targeting audience with intermediate level of Python knowledge.
IOT and Home Automation with Serverless Computing | Serverless Days 2019 | So...Sonal Raj
Presented at Serverless Days 2019, Jaipur, India. The talk focusses on the integration and use of serverless APIs for Internet of Things applications to be used in home automation.
Internet of Python - IOT with Python and Serverless | Sonal Raj | HydPy Feb 2019Sonal Raj
Presented at HydPy meetup in Hyderabad. The session focused on discussing the various components for configuring IOT hardware and applications, using python and cloud technologies.
Progressive Javascript: Why React when you can Vue?Sonal Raj
More choices, more problems. Right? This talk would be specially focused around what features the VueJS framework bring to the table, which compromises would you make while choosing your suitable framework, and what out of the box magic props would you be getting if you sided with VueJS. With a minimal arsenal of experimenting with ReactJS and VueJS, and handling migrations of projects to Vue in the past year, I intend to share my experience with the javascript community and enthusiasts.
Startup Diagnostics: Reasons why startups can fail.Sonal Raj
They say you need to eliminate the fear of failure and take all risks to build a great startup, but that does not imply you stop looking for the traps. The talk analyses the common reasons including decisions, ecosystem factors or economic issues which adversely attribute a startup’s growth.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
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
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.