This document discusses offloading ETL workloads from data warehouses to Hadoop. It provides an overview of Bitwise, an ISO-certified company that provides ETL and data quality services. It also describes Driven, a platform for building, running, and managing big data applications. Driven provides visibility into data pipelines, monitors application performance, and enables collaboration around operational issues. It stores metadata about application telemetry in a scalable and searchable manner to provide end-to-end operational visibility for Hadoop applications.
Zurich: Monitoring a sales force-based insurance application using dynatrace ...Dynatrace
Digital transformation drives us at Zurich North America’s (ZNA) to provide a universal desktop for insurance underwriting. The system utilizes a common SalesForce front-end to access numerous legacy applications. With high demands on performance and usability, monitoring is key but not easy. In this session we will look into what ZNA’s monitoring strategy looks like. Why we picked a layered approach including in-depth legacy application monitoring, operational monitoring of the SalesForce Lightning front-end and end-to-end business process monitoring.
Project Management Tools Native on the Salesforce PlatformProductivity Fox
The document discusses different project management styles and tools. It describes Waterfall project management as utilizing a traditional top-down approach to define scope, budgets, and schedules upfront. Agile project management is performed in stages by teams of 5-20 people and can scale to multiple teams. PSA focuses on project management for services industries, while PPM manages multiple projects across an enterprise to optimize resources and goals. The document also provides a table comparing costs of various project management applications.
This document provides an overview of a hands-on technical workshop on transforming monolithic applications to microservices. The workshop will cover industry trends in application development, Red Hat's approach to application modernization, migrating existing Java EE applications to Red Hat OpenShift, developing microservices using frameworks like Spring Boot and deploying using OpenShift and DevOps processes. Attendees will learn how to discuss migration strategies with customers, develop reactive microservices, package microservices, and prevent and detect issues in distributed systems. The all-day workshop includes sessions on moving existing apps to the cloud, developing on OpenShift, monolith to microservices migration, reactive microservices, and packaging and detecting issues in microservices applications.
The Streaming Assessment – An Introductionconfluent
Business breakout during Confluent’s streaming event in Munich, presented by Lyndon Hedderly, Director of Customer Solutions at Confluent. This three-day hands-on course focused on how to build, manage, and monitor clusters using industry best-practices developed by the world’s foremost Apache Kafka™ experts. The sessions focused on how Kafka and the Confluent Platform work, how their main subsystems interact, and how to set up, manage, monitor, and tune your cluster.
Apache Spark: The modern data analytics platformMáté Gulyás
This document provides an overview of Apache Spark, highlighting its capabilities for distributed data processing, interactive analytics, and handling different data sources and workloads. Spark can cover many use cases in data analytics from batch processing to streaming and SQL queries. It offers a productive API, runs on many platforms, and has an active community. The key aspects are its resilient distributed datasets (RDDs) and ability to provide a single platform for interactive and high performance analytics.
Starbucks: Building a new dev culture and freeing time for innovation: A Star...Dynatrace
Naveen Dronavalli is the Manager of Application Development at Starbucks. He discussed Starbucks' journey in implementing the Dynatrace application performance monitoring (APM) solution to improve monitoring of their applications and reduce mean time to resolution for issues. Some key benefits realized included proactively identifying user logout, database performance, and logging issues. Starbucks has continued expanding use of Dynatrace and exploring its synthetic monitoring and AI capabilities to further support innovation.
Agile integration: Decomposing the monolith Judy Breedlove
This document discusses strategies for decomposing monolithic applications into microservices and ensuring resilience of the resulting microservices architecture. It covers decomposing monoliths using API-first and single responsibility principles. Managing the complex microservices architecture requires approaches for cross-cutting concerns like fault tolerance, traffic management, policy enforcement, distributed tracing, and infrastructure concerns like circuit breaking. A service mesh like Istio deployed as sidecars can provide a communications control plane for traffic management, policy enforcement, and distributed tracing between microservices.
From sensor data processing to proactive alerting and ai software ag - misja ...Capgemini
This document discusses how an IoT platform can enable connectivity of devices, processing of sensor data, analytics and decision making, integration with other systems, and application development. It provides an overview of the key capabilities of an IoT platform, including device management, analytics, integration, and low-code application development. It also discusses how such a platform can support use cases across various industries from industrial IoT to smart cities.
Dynatrace: Davis - Hololens - AI update - Cloud announcements - Self driving ITDynatrace
Dynatrace announced new features for their AI assistant Davis including notifications for Amazon Echo and Slack. They also discussed plans to further integrate Davis with Dynatrace search capabilities. The company announced a new Innovator Program providing hardware, workshops and early access to new features for 15 participants paying an annual $25k fee. Finally, they demonstrated a new integration with Microsoft HoloLens and discussed how Davis is built on Dynatrace APIs to provide multimodal interfaces for the future.
Introduction to red hat agile integration (Red Hat Workshop)Judy Breedlove
This presentation provides and overview of Red Hat's approached to Agile integration. It was presented at the "Agile integration with Containers & APIs" workshop series. Fall 2018
Humana digitally transforming health and well-being with Pivotal cloud foundr...Dynatrace
Humana has been on the leading edge of technology in the healthcare industry for some time now, particularly with the creation of their Digital Experience Center which features Pivotal Cloud Foundry (PCF) and with the maturation of their IT Command Center which features the breadth of Dynatrace’s product line. In this session we will learn a number of things, starting with why Humana chose PCF as a key platform to power their digital transformation from legacy software development practices towards modern software engineering. The acceleration of this culture change and new methodology exposed gaps in existing monitoring practices and tools, and we'll learn how Dynatrace via the Full-stack Add-on for Pivotal Cloud Foundry was able to fill those gaps. With unique visibility into the entire environment from the user experience to the underlying VMs and everything in-between, Dynatrace provided an intuitive view which simplified problem determination in the and transformed how Humana manages service availability for its customers. Finally we'll learn about Humana's strategy for the future with public cloud deployment, continuous monitoring with DevOps, and monitoring tool consolidation on the horizon.
Preparing your organization for microservicesJudy Breedlove
This document discusses preparing an organization for microservices by embracing change. It addresses where an organization currently stands with change and digital transformation, noting that change is complex and far-reaching. It discusses organizing teams around microservices and defining new roles. The document also covers leveraging technology, improving processes through DevOps, and taking incremental steps to implement foundational changes that will transform the organization.
How to Execute a Successful API StrategyMatt McLarty
Updated version of my CONNECT presentation. Defines a holistic approach to API strategy, covering goals, principles, organization, culture, technology, and the API ecosystem.
Meetup 27/6/2018: AIOPS om de uitdagingen van een slimme stad te ondersteunenDigipolis Antwerpen
natural language interface to all automation
Autonomous cloud: self-driving operations with AI
Security: autonomous detection and response
Together, these initiatives will transform IT and enable autonomous clouds
Agile Integration with APIs and Containers Workshop Nicole Maselli
The document provides an agenda for a Red Hat Agile Integration workshop. The agenda includes sessions on agile integration concepts and use cases, hands-on developer demos, and labs on contract-first API development. Participants can choose between an API design and management track or an API development and security track. The workshop aims to provide an introduction to agile integration using Red Hat products like OpenShift, Fuse, 3scale, Apicurio and Microcks.
[INFOGRAPHIC] Event-driven Business: How to Handle the Flow of Event Dataconfluent
Data-driven strategies and streaming data use cases are increasingly important for organizations. A 2018 study found that 56% more organizations now identify data-driven strategies as vital compared to 2016. The need for real-time processing has more than doubled since 2016. While technology hurdles were previously the main obstacle, cultural and strategic challenges are now seen as the biggest barriers to implementing streaming initiatives. Event-driven business models that leverage real-time data help lower costs and create competitive advantages.
Simplify and transform IT operations management.
The OpsRamp Winter 2020 Release advances AIOps, cloud, and synthetic monitoring. Watch this on-demand webinar and get to know all the new IT Ops management platform enhancements including:
- OpsQ Recommend Mode. Stay in control by using explainable and transparent analytical recommendations for first-response and incident creation.
- Deeper Cloud Monitoring. Support for 4 AWS, 7 Azure, and 8 GCP cloud services.
- Synthetic Monitoring. Deeper insights and analysis for troubleshooting multi-step transactions.
- Agentless Discovery and Monitoring for Windows Servers. Manage distributed Windows infrastructure in a secure and frictionless way with agentless monitoring.
Hear from the OpsRamp product management team and dive into comprehensive demonstrations.
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
How To Get Hadoop App Intelligence with DrivenCascading
You built Cascading/Scalding apps to mine all that data you collected in Hadoop. But just when you were seeing results, something went wrong — the app broke, data flows stopped, and business came to a halt.
So what do you do next? How do you find out what went wrong in the shortest time possible? How do you pinpoint the line of code where the error occurred? How do you know which SLA is going to be impacted? How do you view the lineage of data to adhere to compliance requirements?
In this presentation, we show you how to easily find the answers with Driven, the most comprehensive Big Data App Performance Management Platform.
Furthermore, this presentation describes how Driven can help you build higher quality big data apps; run big data apps more reliably; and manage big data apps more effectively.
Who should view this PPT: Any person or organization that is currently involved in planning, deploying or managing a Hadoop application infrastructure.
WSO2 provides a state of the art, standards based, scalable and complete platform solution to the problem of building software in this new environment. As an open source company WSO2 is committed to providing the hooks and openness that allows anyone to insert their own customization and special needs into the platform.
Are you interested in taking your Atlassian operations to the next level? New to the Marketplace or haven't checked it out in a while? Join us for a general state of the marketplace, what 2022 has in store, and how admins can navigate the marketplace for cloud environment. We'll showcase some partners and how their tools solved real world customer scenarios. We look forward to seeing you!
OrangeScrum and WakeUpSales- Two Powerful SaaS Products of AndolasoftAndolasoft Inc
SaaS is a software as a license distribution model through which third party Software and applications can be host by individual or organization for the availability of internet users and customers. It minimizes the installation requirements of others through its own data center with maintenance and support.
The panel discussed strategies for startups to build successful enterprise apps. They recommended soft launching apps, getting influencers to use them, encouraging reviews, seeding the app in the community, having a clear value proposition and demo, and being responsive to feedback. Over-communicating with customers and using user groups and events were also suggested. The panel noted that the top AppExchange apps engage in these practices and have seen significant revenue and customer growth as a result.
Digital Business with SAP B1 - Introductionjzelynlim95
The document discusses how SAP Business One can help companies transform into digital businesses. It explains key technologies like analytics, cloud, mobile, machine learning, big data, IoT, and APIs that SAP Business One leverages to provide digitization. Specifically, it outlines features for analytics, reporting, dashboards, predictive analysis and more. It also provides examples of how technologies like IoT, machine learning, and big data can benefit businesses using SAP Business One.
- The document discusses the growing opportunity for enterprise apps on the Salesforce AppExchange marketplace.
- It notes that over 1,700 apps are available on AppExchange with over 1.7 million customer installs. Partner revenue from apps on AppExchange has grown to over $5 billion.
- A panel discussion highlights how Salesforce helps partners get apps to market faster through resources like the App Academy, roadmap insights, and the AppExchange marketplace.
Cloud Power Series for CFO's - salesforceNate Skinner
Financialforce.com, Xactly, Concur and Salesforce event series, focused on CFO's
Join an exclusive group of Finance and Operations executives to learn how companies like yours are implementing cloud solutions built on the Salesforce Platform to increase revenue while reducing the costs of doing business.
Speaker: Nate Skinner- VP Executive Marketing & Enterprise Strategy
Location: Westin Buckhead- Buckhead Ballroom- 3391 Peachtree Road, NE Atlanta, GA
Date: Thursday, June 6th, 2013
This document discusses the future of enterprise platforms and technologies. It describes how platforms have evolved from centralized mainframes to today's cloud-based Platform 3.0, which is driven by mobile, social, big data, APIs, and other technologies. Key elements of Platform 3.0 include cloud native services, open source, event-driven architectures, microservices, continuous integration/deployment, and the Internet of Things. The document also discusses how these technologies are enabling new connected scenarios and use cases for industries like automotive, construction, and healthcare.
Analytic Excellence - Saying Goodbye to Old ConstraintsInside Analysis
The Briefing Room with Dr. Robin Bloor and Actian
Live Webcast August 6, 2013
http://www.insideanalysis.com
With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis?
Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.
These slides--based on the webinar featuring leading IT analyst firm Enterprise Management Associates (EMA) and IBM--reveal the challenges of managing today’s complex IT environments and the benefits associated with moving to a true hybrid IT management approach.
Monitor and Measure Your Way to Successful Digital TransformationVMware Tanzu
Measuring and showing progress is critical to drive technology adoption and ensure the success of your modernization effort. A wise customer once said, “If you thought getting people to believe digital transformation is possible was tough, wait until you try and convince people that you actually accomplished successful transformation.”
Most people can relate! What is the language that describes digital transformation success? What are the success metrics of digital transformation that enterprises care deeply about? How does one know they are headed in the right direction?
In this webinar, Pivotal and New Relic will cover how your teams can do the following:
- Use lean principles and practices as applied to enterprise software delivery to measure transformation impact
- Easily create dashboards to monitor business and strategic value delivered at every phase of your digital transformation journey
- Ensure your entire stack—including infrastructure, cloud platform, applications, containers, and services—is tracking toward goals
Speakers:
Rajagopal Ramanujam, Director, Global Strategic Alliances, New Relic
Bharat Raj, Technical Leader, Digital Intelligence, New Relic
Kamala Dasika, GTM Lead for PCF Technology Partners, Pivotal
This document discusses bridging the gap between digital vision and execution using a digital platform approach. It proposes using digital design patterns and a palette of reusable digital capabilities to allow incremental innovation and quick time to value. An example digital shopping assistant idea is presented and mapped to relevant digital platform components. The importance of a flexible, extensible platform that supports agility, leverages existing investments and encourages innovation is emphasized.
This document provides information about David Cutler and the services he offers related to marketing, technology consulting, and software development outsourcing. It highlights his experience speaking at conferences, developing digital products and platforms, and advising startups. The document consists of images, text, and links organized across multiple pages covering topics such as ideation, prototyping, development, and scaling of digital solutions.
Hewlett Packard Enterprise View on Going Big with API Management - Applicatio...CA Technologies
Companies of every size have been disrupted by new business models, new digital devices and new forms of connectivity. But it is the largest enterprises that face the greatest challenges when it comes to integrating their vast legacy architectures with new systems of engagement and innovation that consumers now demand. In this session, Terry White, Fellow and Chief Technologist, Enterprise Services Applications and Business Services at Hewlett Packard Enterprise, will bring more than 30 years of perspective to a discussion on how critical APIs are as a catalyst for legacy application transformation and migration to the cloud. Terry will also cover the importance of being able to manage and secure those APIs to avoid massive service disruptions and security breaches.
For more information, please visit http://cainc.to/Nv2VOe
7 Best Practices for Achieving Operational Readiness on Hadoop with Driven an...Cascading
This video dives into 7 best practices for how IT organizations can achieve true operational readiness on Hadoop using Driven and Cascading.
For any person, organization or enterprise that is currently involved in planning, deploying or managing a Hadoop infrastructure. Development Teams, IT Ops, Executive Management.
Key Takeaways:
- Connecting execution problems with application context
- Defining and enforcing SLAs
- Understanding inter-app dependencies
- Rationing your cluster
- Tracing data access at the operational level
- Building culture and tools supporting collaboration between developers, operators, & other Hadoop team members
The webinar discussed how time series databases can create value by enabling organizations to profit from digital shifts related to applications, customer engagement, IoT, and globalization. Time series data is growing significantly due to IoT and is crucial for monitoring devices and infrastructure. The webinar covered how time series data and analysis can provide insights for customer retention and experience, high frequency trading and transactions, and global applications like solar energy monitoring.
This document provides an overview of starting a service-oriented architecture (SOA) program at an enterprise. It begins by recommending crafting a vision for the SOA and gaining executive support. It also advises picking a strong team, including business partners with experience, and sustaining motivation. The document suggests going for small, quick wins initially to demonstrate value and create momentum for the SOA program.
Unleash the Potential of Big Data on SalesforceDreamforce
Salesforce hosts billions of customer records on Salesforce App Cloud. Making timely decisions on this invaluable data demands a new set of capabilities. From interacting with data real-time to leveraging a fluid integration with Salesforce Analytics, these capabilities are just around the corner. Join us in this roadmap session to see what the near-future of Big Data on Salesforce App Cloud looks like and how you can benefit from it. Watch the video now: https://www.youtube.com/watch?v=a-wFfdfGgvM
Hadoop and the Relational Database: The Best of Both WorldsInside Analysis
This document summarizes a presentation about the Splice Machine database product. Splice Machine is described as a SQL-on-Hadoop database that is ACID-compliant and can handle both OLTP and OLAP workloads. It provides typical relational database functionality like transactions and SQL on top of Apache Hadoop. Customers reportedly see a 10x improvement in price/performance compared to traditional databases. The presentation provides details on Splice Machine's architecture, performance benchmarks, customer use cases, and support for analytics and business intelligence tools.
Similar to Breathe new life into your data warehouse by offloading etl processes to hadoop (20)
Overview of Cascading 3.0 on Apache Flink Cascading
Cascading is a Java API for building batch data applications on Hadoop. This document discusses executing Cascading programs on Apache Flink instead of Hadoop MapReduce. With Cascading on Flink, programs are translated to single Flink jobs instead of multiple MapReduce jobs. This improves performance by allowing pipelined execution without writing intermediate data to HDFS. For example, a TF-IDF program runs 3.5 hours faster on Flink than MapReduce. Cascading on Flink leverages Flink's efficient in-memory operators while requiring minimal code changes.
Predicting Hospital Readmission Using CascadingCascading
Michael Covert will examine how Healthcare Providers are finding ways to use Big Data analytics to reduce readmission rates and improve operational efficiency while complying with regulatory mandates.
Reducing Development Time for Production-Grade Hadoop ApplicationsCascading
Ryan Desmond's Presentation at the Cascading Meetup on August 27, 2015. Brief overview of Cascading to help give a basic understanding to Clojure users that might use PigPen & Clojure to access Cascading.
This document summarizes the results of a survey of Cascading users. It finds that Cascading is most popular among those building and managing big data applications. Many users explored alternatives like Hive and Pig before adopting Cascading due to its scalability and portability across compute frameworks. The survey also shows that Cascading users value reliability and performance at scale and are interested in new frameworks like Spark.
The Cascading (big) data application framework - André Keple, Sr. Engineer, C...Cascading
André Kelpe's presentation at Hadoop User Group France - 25.11.2014.
Abstract: Cascading is widely deployed, production ready open source data application framework geared towards Java developers. Cascading enables developers to write complex data applications without the need to become a distributed systems expert. Cascading apps are portable between different computation frameworks, so that a given application can be moved from Hadoop onto new processing platforms like Apache Tez or Apache Spark without rewriting any of the application code.
Cascading - A Java Developer’s Companion to the Hadoop WorldCascading
Presentation by Dhruv Kumar, Sr. Field Engineer at Concurrent.
Amid all the hype and investment around Big Data technologies, many Java software engineers are asking what it takes to become big data engineers. As Java professionals, towards which path shall I steer my career?
Join Dhruv Kumar as he introduces Cascading, an open source application development framework that allows Java developers to build applications on top of Hadoop through its Java API. We’ll provide an overview of the application development landscape for developing applications on Hadoop and explain why Cascading has become so popular, comparing it to other abstractions such as Pig and Hive. Dhruv will also show you how Java developers can easily get started building applications on Hadoop with live examples of good ‘ole Java code.
Elasticsearch + Cascading for Scalable Log ProcessingCascading
Supreet Oberoi's presentation on "Large scale log processing with Cascading & Elastic Search". Elasticsearch is becoming a popular platform for log analysis with its ELK stack: Elasticsearch for search, Logstash for centralized logging, and Kibana for visualization. Complemented with Cascading, the application development platform for building Data applications on Apache Hadoop, developers can correlate at scale multiple log and data streams to perform rich and complex log processing before making it available to the ELK stack.
Introduction to Cascading by Bryce Lohr
Presentation on Cascading delivered at the Triad Hadoop Users Group. This presentation provides a brief introduction to Cascading, a Java library for developing scalable Map/Reduce applications on Hadoop.
Bryce Lohr is a software developer at Inmar, focused on developing data analysis application using Hadoop and related technologies.
https://www.linkedin.com/pub/bryce-lohr/3/589/225
Monitoring the Execution of 14K Tests: Methods Tend to Have One Path that Is ...Andre Hora
The literature has provided evidence that developers are likely to test some behaviors of the program and avoid other ones. Despite this observation, we still lack empirical evidence from real-world systems. In this paper, we propose to automatically identify the tested paths of a method as a way to detect the method’s behaviors. Then, we provide an empirical study to assess the tested paths quantitatively. We monitor the execution of 14,177 tests from 25 real-world Python systems and assess 11,425 tested paths from 2,357 methods. Overall, our empirical study shows that one tested path is prevalent and receives most of the calls, while others are significantly less executed. We find that the most frequently executed tested path of a method has 4x more calls than the second one. Based on these findings, we discuss practical implications for practitioners and researchers and future research directions.
Predicting Test Results without Execution (FSE 2024)Andre Hora
As software systems grow, test suites may become complex, making it challenging to run the tests frequently and locally. Recently, Large Language Models (LLMs) have been adopted in multiple software engineering tasks. It has demonstrated great results in code generation, however, it is not yet clear whether these models understand code execution. Particularly, it is unclear whether LLMs can be used to predict test results, and, potentially, overcome the issues of running real-world tests. To shed some light on this problem, in this paper, we explore the capability of LLMs to predict test results without execution. We evaluate the performance of the state-of-the-art GPT-4 in predicting the execution of 200 test cases of the Python Standard Library. Among these 200 test cases, 100 are passing and 100 are failing ones. Overall, we find that GPT-4 has a precision of 88.8%, recall of 71%, and accuracy of 81% in the test result prediction. However, the results vary depending on the test complexity: GPT-4 presented better precision and recall when predicting simpler tests (93.2% and 82%) than complex ones (83.3% and 60%). We also find differences among the analyzed test suites, with the precision ranging from 77.8% to 94.7% and recall between 60% and 90%. Our findings suggest that GPT-4 still needs significant progress in predicting test results.
Three available editions of Windows Servers crucial to your organization’s op...Q-Advise
Three available editions of Windows Servers crucial to your organization’s operations
Windows Server, Microsoft’s robust operating system, is the cornerstone of enterprise IT infrastructure, tailored for mission-critical operations. It helps in managing enterprise-level tasks, including data storage, applications, and communication.
Proper licensing of Windows Server is essential for both legal compliance and optimal functionality within business environments.
Windows Server comes in various edition and before any edition is used in your organization, it is required you license them appropriately. The licensing can be complex and capital demanding when you don’t know what you want or understand the licensing requirements.
Even if successfully licensed, there are various activities you can practice as an organization to make sure your Server is operating optimally and there is real value for money. This requires a deeper understanding of best practices and our team of cloud and licensing experts can be of support.
Send the team an email, info@q-advise.com let’s have a look at your needs, together with you decide which licensing model will best work in your case, assist you with savings options and share with you how pre-owned licensing can help you get licensed adequately also.
The SQDC (Safety, Quality, Delivery, Cost) process enhances manufacturing performance through daily safety meetings, defect tracking, and waste reduction. Orcalean’s FactoryKPI digital dashboard streamlines this process, providing real-time data and AI-powered analytics for continuous improvement.
AI is revolutionizing DevOps by advancing algorithmic optimizations in pipelines, elevating efficiency levels, and introducing predictive functionalities. This article examines how AI is reshaping continuous integration, deployment strategies, monitoring practices, and incident management within DevOps ecosystems, ultimately amplifying efficiency and dependability.
Understanding Automated Testing Tools for Web Applications.pdfkalichargn70th171
Automated testing tools for web applications are revolutionizing how we ensure quality and performance in software development. These tools help save time, reduce human error, and increase the efficiency of web application testing processes. This guide delves into automated testing, discusses the available tools, and highlights how to choose the right tool for your needs.
Literals - A Machine Independent Feature21h16charis
Introduction to Literals, A machine independent feature. The presentation is based on the prescribed textbook for System Software and Compiler Design, Computer Science and Engineering - System Software by Leland. L. Beck,
D Manjula.
CrushFTP 10.4.0.29 PC Software - WhizNewsEman Nisar
Introduction:
In this never-ending digital world, the essence of a smooth and safe file transfer solution is vital. CrushFTP 10.4.0.29 is a kind of full-featured, robust, and easy-to-use PC software designed for a smooth file transfer process without compromising security. In this review, we will dig in deep regarding the CrushFTP features, functions, and system requirements to have a 360-degree view of its capabilities and possible applications.
Description:
CrushFTP, LLC develop the software, and it comes in a bundle of new features and improvements, which are set to deliver a great experience to the user.With CrushFTP, from the smallest to the most extensive scale of businesses, all kinds of file transfer operations can be centrally managed on a single platform.
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Abstract:
At its heart, CrushFTP is a powerful server that allows users to exchange files over the networks safely. Many features of the FTP servers have been extended in CrushFTP. It supports protocols like FTPS, SFTP, SCP, HTTP, and HTTPS for maximum flexibility with client applications and devices.
The intuitive web interface enables users to use file management tools simply without installing complex client software.
Software Characteristics:
Security:
CrushFTP ensures security through the use of protocols for encryption, such as SSL/TLS, to secure transmitted data. It also offers user authentication mechanisms using LDAP, Active Directory, and OAuth for proper secure access control.
Automation:
The automation capability of CrushFTP allows automating the everyday routine tasks through schedule-based transfer, event-based triggers, and custom flow. This ensures that the batch processing is effective with minimum manual interruption, improving productivity.
You May Also Like :: VovSoft Copy Files Into Multiple Folders PC Software – WhizzNews
Remote Administration:
CrushFTP supports remote administration through the web interface. This allows an administrator to manage server settings, user permissions, and file operations from any part of the world that is connected to the Internet. In this regard, it gives a very nice distributed team and remote work environment.
Integration:
The software easily integrates with third-party applications and services through a very extensive API, as well as through support for plenty of plugins. This way, it becomes straightforward for organizations to fit CrushFTP into their already existing infrastructure to promote interoperability and ensure scalability.
Monitoring and Logging:
CrushFTP provides very detailed tracking and logging where an administrator can trace all user activities, monitor the performance of the server, and analyze network traffic. It also offers real-time alerts and notifications for proactive management and troubleshooting.
Customization:
Make CrushFTP work with any possible parameters in mind through configurable settings, themes, and extensions
Alluxio Webinar | What’s new in Alluxio Enterprise AI 3.2: Leverage GPU Anywh...Alluxio, Inc.
Alluxio Webinar
July.23, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Shouwei Chen (core maintainer and product manager, Alluxio)
In today's AI-driven world, organizations face unprecedented demands for powerful AI infrastructure to fuel their model training and serving workloads. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving. On July 9, 2024, we introduced Alluxio Enterprise AI 3.2, a groundbreaking solution designed to address these critical issues in the ever-evolving AI landscape.
In this webinar, Shouwei Chen will introduce exciting new features of Alluxio Enterprise AI 3.2:
- Leveraging GPU resources anywhere accessing remote data with the same local performance
- Enhanced I/O performance with 97%+ GPU utilization for popular language model training benchmarks
- Achieving the same performance as HPC storage on existing data lake without additional HPC storage infrastructure
- New Python FileSystem API to seamlessly integrate with Python applications like Ray
- Other new features, include advanced cache management, rolling upgrades, and CSI failover
Waze vs. Google Maps vs. Apple Maps, Who Else.pdfBen Ramedani
Let’s face it, getting lost isn’t really part of the adventure anymore (unless you’re into that sort of thing!). Nowadays, a good navigation app is like your trusty compass, guiding you through busy city streets and winding country roads. But with so many options out there—from big names like Waze, Google Maps, and Apple Maps to some lesser-known contenders—choosing the right one can feel a bit overwhelming.
Think about it: you're about to head out on a road trip, and the last thing you want is to end up in the middle of nowhere because you took a wrong turn. Or maybe you're just trying to navigate your daily commute without hitting every single red light. That's where a solid navigation app comes in handy.
Google Maps is like the old reliable friend who knows every shortcut and scenic route. It's packed with features, from real-time traffic updates to detailed directions, making it a top choice for many. But then there's Waze, the social butterfly of navigation apps. It's all about community, with drivers sharing real-time updates on traffic, accidents, and even speed traps. It’s perfect if you want to feel like you’re part of a huge driving club, all working together to get everyone to their destination faster.
And let’s not forget Apple Maps, which has come a long way since its rocky start. If you're deep into the Apple ecosystem, it's a seamless choice, integrating smoothly with all your devices and offering some pretty neat features like Flyover for 3D city views.
But wait, there are also some underdog apps worth considering! Have you heard of MapQuest? It's still around and offers some great features, especially for planning long trips with multiple stops. Then there's HERE WeGo, which is fantastic for offline navigation—a real lifesaver if you're heading somewhere with spotty cell service.
So, whether you're planning a cross-country adventure or just trying to find the quickest route to work, we’ll help you sift through these options. We’ll dive into what makes each app unique, their pros and cons, and ultimately, guide you to the perfect navigation app for your needs. Buckle up and get ready for a smooth ride!
Test Polarity: Detecting Positive and Negative Tests (FSE 2024)Andre Hora
Positive tests (aka, happy path tests) cover the expected behavior of the program, while negative tests (aka, unhappy path tests) check the unexpected behavior. Ideally, test suites should have both positive and negative tests to better protect against regressions. In practice, unfortunately, we cannot easily identify whether a test is positive or negative. A better understanding of whether a test suite is more positive or negative is fundamental to assessing the overall test suite capability in testing expected and unexpected behaviors. In this paper, we propose test polarity, an automated approach to detect positive and negative tests. Our approach runs/monitors the test suite and collects runtime data about the application execution to classify the test methods as positive or negative. In a first evaluation, test polarity correctly classified 117 tests as as positive or negative. Finally, we provide a preliminary empirical study to analyze the test polarity of 2,054 test methods from 12 real-world test suites of the Python Standard Library. We find that most of the analyzed test methods are negative (88%) and a minority is positive (12%). However, there is a large variation per project: while some libraries have an equivalent number of positive and negative tests, others have mostly negative ones.
Unlocking value with event-driven architecture by Confluentconfluent
Sfrutta il potere dello streaming di dati in tempo reale e dei microservizi basati su eventi per il futuro di Sky con Confluent e Kafka®.
In questo tech talk esploreremo le potenzialità di Confluent e Apache Kafka® per rivoluzionare l'architettura aziendale e sbloccare nuove opportunità di business. Ne approfondiremo i concetti chiave, guidandoti nella creazione di applicazioni scalabili, resilienti e fruibili in tempo reale per lo streaming di dati.
Scoprirai come costruire microservizi basati su eventi con Confluent, sfruttando i vantaggi di un'architettura moderna e reattiva.
Il talk presenterà inoltre casi d'uso reali di Confluent e Kafka®, dimostrando come queste tecnologie possano ottimizzare i processi aziendali e generare valore concreto.
Bring Strategic Portfolio Management to Monday.com using OnePlan - Webinar 18...OnePlan Solutions
Unlock the full potential of your projects with OnePlan’s seamless integration with monday.com. Join us to discover how OnePlan enhances monday.com by aligning your portfolio of projects with your organization’s strategic goals, optimizing resource allocation, and streamlining performance tracking. Learn how this powerful combination can drive efficiency, cost savings, and strategic success within your organization.
2. ABOUT CONCURRENT
2
TRUSTED
by over 10,000
companies as their big
data app platform
BACKED
by top Silicon Valley
investors True Ventures,
Rembrandt VP, Bain
Capital
FOUNDED
in 2008, with
headquarters in San
Francisco
3. •Founded in
1995
•HQ in
Chicago, IL
•Offices in India
& Australia
•ISO 9001:2008
& ISO
27001:2005
Certified
Most
experienced
data
professionals
Proprietary
frameworks and
accelerators for
guaranteed, efficient
and cost-effective
services for data
projects
ABOUT BITWISE
3
8. DRIVEN PROVIDES OPERATIONAL READINESS TOETL WORKLOADS
PERFORMANCE MANAGEMENT FOR
BIG DATA APPLICATIONS
higher quality
big data apps
BUILD
big data apps
more reliably
RUN
big data apps
more effectively
MANAGE
9. BUILDHIGHER QUALITY BIGDATA APPS
9
SOURCES OPERATIONS
(Functions, filters, joins, and aggregators)
RESULTS
Fully visualize your entire data pipeline Quickly and easily identify execution errors
10. 10
BUILDHIGHER QUALITY BIGDATA APPS
Fully visualize your entire data pipeline Quickly and easily identify execution errors
11. RUN BIGDATA APPS MORE RELIABLY
11
CURRENTLY EXECUTING
Watch your apps execute in real time
Easily detect apps that violate SLA’s and
policies
Pinpoint bottlenecks and identify causes
12. RUN BIGDATA APPS MORE RELIABLY
12
Pinpoint bottlenecks and
identify causes
EXECUTING WAITING
Watch your apps execute in real time
Easily detect apps that violate SLA’s and
policies
Pinpoint bottlenecks and identify causes
DETAILED MAPPER/REDUCER STATS
13. RUN BIGDATA APPS MORE RELIABLY
13
Pinpoint bottlenecks and
identify causes
Watch your apps execute in real time
Easily detect apps that violate SLA’s and
policies
Pinpoint bottlenecks and identify causes
For example, see metrics for all apps
on the production cluster that failed to
execute in under 5 minutes…
…or all applications that use more than
their allotment of mappers
14. MANAGE BIGDATA APPSMORE EFFECTIVELY
14
See how all apps consume resources as they run
Compare performance, resource consumption, and other metrics
across departments, teams and any segment you define
15. MANAGE BIGDATA APPSMORE EFFECTIVELY
15
See how all apps consume resources as they run
Segment performance by team, by department or custom tags for
role-based views, chargeback models, and capacity planning
For example, see performance of all apps
owned by the DevOps team
Marketing Sales Compliance Data science team QA cluster Production cluster
16. MANAGE BIGDATA APPSFOR COMPLIANCE
16
Visualize Lineage – See exactly how each app ingests, manipulates
and outputs data
Further inspect lineage by detecting apps that write to, or read from, a
given dataset
SOURCES OPERATIONS
(Functions, filters, joins, and aggregators)
RESULTS
17. MANAGE BIGDATA APPSFOR COMPLIANCE
17
Visualize Lineage – See exactly how each app ingests, manipulates
and outputs data
Further inspect lineage by detecting apps that write to, or read from, a
given dataset
For example, show all apps that interact
with the dataset in “rain.txt”
18. MANAGE BIGDATA APPSFOR COLLABORATION
18
Create JIRA issues with views and data for quickly collaborating to
resolve performance problems
Integrate alerts with popular notification platforms like HipChat,
PagerDuty, & Nagios
With one click, create a Jira issue with a
link to this view
19. MANAGE BIGDATA APPSFOR COLLABORATION
19
Create JIRA issues with views and data for quickly collaborating to
resolve performance problems
Integrate alerts with popular notification platforms like HipChat,
PagerDuty, & Nagios
Automatically send app status
notifications via webhooks or JMX
20. NURTUREACULTUREOFOPERATIONALEXCELLENCENURTUREACULTUREOFOPERATIONALEXCELLENCE
“The coolest part about Driven
is being able to visualize data
pipelines and inspect
components in real time for
easy troubleshooting and
optimization. I don't know of
any other tool that's close in
functionality.”
- Neville Li
Software Engineer, Spotify
20
”Driven has given us a way to
monitor the performance of
our data-driven applications in
a manner which is visually
intuitive to both engineering and
business users.”
- Joao Vicente
Performance Architect Dun &
Bradstreet
21. End-to-end operational telemetry metadata for big data applications
Accessible via Web browser, command-line interface (CLI), or simple search queries
Easy integrations through JMX and upcoming Driven SDK
…THROUGH ASCALABLE, SEARCHABLE METADATA STORE
Telemetry metadata
(SSL)
YARNYARN
HADOOP APPS AND INFRASTRUCTURE
APPLICATIONS
Plugin
21
HADOOP CLUSTERS
WARfiles
Web App
Server
Server
Web CLI JMX
Web App
Server
CEO
Improved customer & brand experience
New product channels
Enhanced operational visibility
Enhanced enforcement of compliance & regulations
CIO
Developing a business case for Hadoop; developing ROI metrics
Developing an inventory of data assets on Hadoop
Promote data re use & ensure integrity of data feeds
Ensure infrastructure governance
CDO
Ensure continuity of data best practices on Hadoop
Develop & enforce regulatory protocols
Promote principles of data library
C_SUITE
Monetize new know-how for service offerings
Create better customer experiences
Increase mind- & wallet-share