Analyzing Streaming Data in Real-time - AWS Summit Cape Town 2018Amazon Web Services
Speaker: Tara Walker, AWS
Customer Speaker: Digitata
Level: 200
Amazon Kinesis is a platform for streaming data on AWS, offering powerful services to make it easy to load and analyze streaming data. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. In this session, we will provide an overview of streaming data applications with the Amazon Kinesis platform and present an end-to-end streaming data solution including data ingestion, real-time processing, and persistence.
The Essentials of AWS IoT Device Management (IOT326-R1) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to use AWS IoT Device Management to onboard and manage devices at scale. We discuss a customer use case, provide a demo, and share best practices to solve the fleet management challenges that you may be facing.
Analyzing Streaming Data in Real-time - AWS Summit Cape Town 2018Amazon Web Services
Speaker: Tara Walker, AWS
Customer Speaker: Digitata
Level: 200
Amazon Kinesis is a platform for streaming data on AWS, offering powerful services to make it easy to load and analyze streaming data. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. In this session, we will provide an overview of streaming data applications with the Amazon Kinesis platform and present an end-to-end streaming data solution including data ingestion, real-time processing, and persistence.
The Essentials of AWS IoT Device Management (IOT326-R1) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to use AWS IoT Device Management to onboard and manage devices at scale. We discuss a customer use case, provide a demo, and share best practices to solve the fleet management challenges that you may be facing.
One of the biggest time sinks and challenges for mobile application developers is developing, accessing, and managing all of the disparate data sources that are involved in delivering delightful, collaborative, and real-time mobile experiences for users while also enabling offline capabilities for when a user is not connected, but still wants to use the app. In this session, you be introduced to the new AWS AppSync service that speed and simplifies these tasks for developers using GraphQL to provide a data abstraction layer and easy query and update statements without having to know the details of the underlying data sources.
Semplificare l'observability per progetti ServerlessLuciano Mammino
Hai mai pensato che le tue lambda functions possano fallire senza che tu te ne accorga? Se la risposta é "SI" probabilmente é perché ti sei giá "bruciato" giocando con il cloud, dove errori e fallimenti sono sempre dietro l'angolo. Purtroppo non possiamo prevenire tutti i fallimenti, pero' possiamo essere notificati quando qualcosa va storto cosí da poter reagire tempestivamente. Ma come fare a configurare il nostro ambiente AWS per raggiungere un buon livello di "Observability"? Se hai giá provato ad utilizzare CloudWatch saprai giá quanto possa essere complesso. In questo talk, esploreremo il tema dell'observability per applicazioni Serverless su AWS. Discuteremo problemi e best practices. Infine vi proporró un tool che permette di automatizzare la configurazione di CloudWatch per l'80% delle esigenze in pochi minuti!
Bridge OLTP and Stream Processing with Amazon Kinesis, AWS Lambda, & MongoDB ...Amazon Web Services
Seamlessly bridge your application’s real-time operational surfaces—which face customers, devices, and latency-sensitive components—to its data processing inner surfaces—which enable BI, machine learning, and other massive analytical workloads. Learn how to compose Amazon Kinesis, Amazon Redshift, Amazon S3, AWS Lambda, and MongoDB into a flexible, secure, and performant architectural core. Then learn through concrete examples how that core extends in order to handle a wide range of applications, from rich financial accounting platforms to cloud-based, open IoT operating systems. This session is brought to you by AWS partner, MongoDB.
by Rohan Dubal, Software Development Engineer, AWS
One of the biggest time sinks and challenges for mobile application developers is developing, accessing, and managing all of the disparate data sources that are involved in delivering delightful, collaborative, and real-time mobile experiences for users while also enabling offline capabilities for when a user is not connected, but still wants to use the app. In this session, you be introduced to the new AWS AppSync service that speed and simplifies these tasks for developers using GraphQL to provide a data abstraction layer and easy query and update statements without having to know the details of the underlying data sources.
Scalable, Automated Anomaly Detection with GuardDuty, CloudTrail, & Amazon Sa...Amazon Web Services
This workshop gives attendees an opportunity to develop a solution that can continuously monitor for and detect a realistic threat using Amazon GuardDuty in combination with machine learning-based AWS CloudTrail log analysis in Amazon SageMaker. Attendees learn how to perform serverless analysis of the Amazon CloudWatch Events for GuardDuty findings in AWS Lambda, load them into an ML model in Amazon SageMaker, and produce predictive alerts.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will want to interact with AWS services like Kinesis, Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, learn about the use cases and benefits of AWS Greengrass, and routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data-intensive applications as simple as writing a few lines of code. In this session, we’ll introduce the core concepts of GraphQL and put that into practice with real-world implementations using tools such as AWS Lambda and AWS AppSync to deliver real-time collaborative experiences for web and mobile apps. We’ll also show you how to use multiple data sources, manage off-line users’ data, and resolve data conflicts.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
Manage IoT Devices throughout Their Lifecycle - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how key features of AWS IoT Device Management work including remote management of devices, fine-grained device logging, fleet indexing and search, and fast onboarding of devices in bulk
- See how AWS IoT Device Management works with AWS Greengrass
- Understand how to get started with AWS IoT Device Management using the AWS Console
IoT Building Blocks From Edge Devices to Analytics in the CloudAmazon Web Services
In this session, we explore features and functions of AWS IoT services. The first part of the session covers AWS IoT fundamentals and our partner ecosystem followed by discussing about AWS IoT services in greater detail, review best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, explore a use case for IoT applications. Leave this session with an understanding of how to start building IoT applications with AWS IoT services.
In this webinar we’ll give you an overview the next generation technology for building APIs called GraphQL and how AWS AppSync takes advantage of GraphQL to make it easy to build collaborative mobile and web applications that deliver responsive and enhanced user experiences.
Modern developers need easy tools for real time, offline access and synchronisation. These techniques are no longer optional for a great end user experience, yet they are difficult to engineer and scale from scratch. Implementing these concepts with modern data fetching patterns across web or mobile can also be difficult.
AWS AppSync automatically updates the data for web and mobile applications in real time and synchronize data for offline users as soon as they reconnect, managing everything needed to store, process, and retrieve the data for your application. In this session, we will also cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, pagination, relations, offline access, real time communications, conflict resolution, and efficient data fetching.
What to expect:
Learn GraphQL Concepts
Understand how to use AWS AppSync with different data sources
Manage application data with real time and offline capabilities in the cloud
GDC 2015 - Game Analytics with AWS Redshift, Kinesis, and the Mobile SDKNate Wiger
See the latest analytics architectures for companies succeeding in the free-to-play space, such as Supercell, GREE, and Rovio. Also see how to create a real-time analytics pipeline to connect to your players, enabling you to deliver deeper experiences.
AWS March 2016 Webinar Series - AWS IoT Real Time Stream Processing with AWS ...Amazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you.
This webinar will familiarize you with the basics of using AWS Lambda to do real-time stream processing with data from AWS IoT. We will discuss how you can leverage AWS IoT to receive data and send commands to IoT devices in real-time. You will learn how to trigger AWS Lambda functions to process inbound data from your IoT devices. You will also learn how to use Lambda to connect with Amazon Kinesis Firehose to load streaming data into Amazon S3 and Amazon Redshift.
Learning Objectives:
• Understand key AWS IoT and AWS Lambda features
• Learn how to set up AWS IoT and do real-time processing with AWS Lambda
• Explore sample use cases, best practices, and tips on using AWS Lambda with AWS IoT
Who Should Attend:
• IoT Developers
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.