Codegladiators

Recently uploaded

This is a classic migration case study (the past, current and the future) at scale from a world-wide company transitioning from Confluent Platform and Confluent Cloud to self-managed Apache Kafka on Kubernetes using Strimzi. At Maersk, we have been architecting, designing and implementing our 3rd generation Event Streaming Platform. This platform is based on Kubernetes in Azure and using Strimzi to operate Apache Kafka at large scale, highly reliable, segregating data based on isolated use cases. Our 2nd generation was based on OnPrem Confluent Platform and Confluent Cloud and this presentation is the story of this migration and reasoning behind it. Furthermore, we would get into details on how we monitor (Grafana, Prometheus), alert (GoAlert and alert as code), operate and provide self-service solutions on top of Strimzi to enable business critical application in Maersk, implemented in GoLang using the GitOps deployment model with Flux and Kustomization among others. Finally, if time allows we will end with a demo of an open-source self service tool to monitor and explore the cluster with most wanted features such as topic message browsing and configuring and restarting connectors.

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi

steffenkarlsson2

INGKA DIGITAL: Linked Metadata by Design

Neo4j

How to install and activate eGrabber JobGrabber

eGrabber

How to download files safely from the internet ? Source: <a href="https://www.downloadsafely.com/">Download Safely</a> -Welcome to Secure Downloading&Surfing. Learn how to safely download files and protect your data while browsing the web. Let's dive into the world of secure surfing! Understanding the Risks Discover the potential threats associated with downloading files from the internet and the impact of malicious software on your device.

how-to-download-files-safely-from-the-internet.pdf

Mehmet Akar

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

Alluxio, Inc.

CompTIA Security+ (Study Notes) for cs.pdf

Furqanuddin10

Scenarios are the central artifact of the Behaviour Driven Development (BDD) process. Although many teams use scenarios and tools like Cucumber or SpecFlow to automate them, in many cases their scenarios contain a lot of details, particularly test data, and therefore they become too complicated to support collaboration with the business. The "essential" principle of scenario writing (scenario formulation) states that only those details should be included in the scenario that are relevant for the outcome. This talk provides help for those who struggle implementing this principle or would be interested to learn how you can create brief and maintainable scenarios.

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Gáspár Nagy

"Introduction to Windows 7" serves as the foundational chapter in our guide, setting the stage for understanding the key features and functionalities of this operating system. Windows 7, released by Microsoft in 2009, quickly became one of the most popular and widely used versions of Windows due to its user-friendly interface, stability, and performance improvements over its predecessor, Windows Vista. This chapter begins by providing an overview of the Windows 7 operating system, highlighting its key attributes and improvements compared to earlier versions of Windows. It introduces users to the visual enhancements such as Aero Glass, the revamped taskbar (also known as the Superbar), and the redesigned Start menu, which all contribute to a more intuitive and streamlined user experience. Furthermore, "Introduction to Windows 7" delves into the architecture and system requirements of the operating system, helping users understand what hardware specifications are necessary for optimal performance. It covers topics such as processor requirements, RAM, disk space, and graphics capabilities, ensuring that readers have a clear 3 understanding of the hardware prerequisites for running Windows 7 smoothly. Additionally, this chapter explores the various editions of Windows 7, including Home Premium, Professional, Ultimate, and Enterprise, outlining the differences between them and helping users choose the edition that best suits their needs and requirements. Moreover, "Introduction to Windows 7" provides an overview of the installation process, guiding users through the steps required to install or upgrade to Windows 7 on their computers. It covers topics such as preparing for installation, choosing the installation type (upgrade or custom), partitioning disks, and configuring initial settings. In summary, "Introduction to Windows 7" serves as a comprehensive primer for users who are new to the operating system or seeking to refresh their understanding. By familiarizing themselves with the core concepts and features of Windows 7, readers can lay a solid foundation for exploring more advanced topics covered in subsequent chapters of this guide.

Mastering Windows 7 A Comprehensive Guide for Power Users .pdf

mbmh111980

Advanced Flow Concepts Every Developer Should Know

Peter Caitens

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Eric Wang (Software Engineer, @Uber) Uber has numerous deep learning models, most of which are highly complex with many layers and a vast number of features. Understanding how these models work is challenging and demands significant resources to experiment with various training algorithms and feature sets. With ML explainability, the ML team aims to bring transparency to these models, helping to clarify their predictions and behavior. This transparency also assists the operations and legal teams in explaining the reasons behind specific prediction outcomes. In this talk, Eric Wang will discuss the methods Uber used for explaining deep learning models and how we integrated these methods into the Uber AI Michelangelo ecosystem to support offline explaining.

AI/ML Infra Meetup | ML explainability in Michelangelo

Alluxio, Inc.

Workforce Efficiency with Employee Time Tracking Software.pdf

DeskTrack

Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

Tier1 app

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

XfilesPro

Crafting the Perfect Measurement Sheet with PLM Integration

Wave PLM

AI/ML Infra Meetup | Perspective on Deep Learning Framework

Alluxio, Inc.

IT Software Development Resume, Vaibhav jha 2024

vaibhav130304

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Victor Lopez

10 Essential Software Testing Tools You Need to Know About.pdf

kalichargn70th171

Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload. Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.

Designing for Privacy in Amazon Web Services

KrzysztofKkol1

Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...

rajkumar669520

Recently uploaded (20)

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi

INGKA DIGITAL: Linked Metadata by Design

How to install and activate eGrabber JobGrabber

how-to-download-files-safely-from-the-internet.pdf

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

CompTIA Security+ (Study Notes) for cs.pdf

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Mastering Windows 7 A Comprehensive Guide for Power Users .pdf

Advanced Flow Concepts Every Developer Should Know

AI/ML Infra Meetup | ML explainability in Michelangelo

Workforce Efficiency with Employee Time Tracking Software.pdf

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

Crafting the Perfect Measurement Sheet with PLM Integration

AI/ML Infra Meetup | Perspective on Deep Learning Framework

IT Software Development Resume, Vaibhav jha 2024

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

10 Essential Software Testing Tools You Need to Know About.pdf

Designing for Privacy in Amazon Web Services

Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...

Codegladiators

Recommended

Recommended

More Related Content

Recently uploaded

Recently uploaded (20)

Featured

Featured (20)

Codegladiators