This document provides information about SAP HANA System Replication (HSR) and compares it to SAP Replication Server (SRS). HSR replicates transaction log entries from a primary HANA database to secondary databases. It supports synchronous and asynchronous replication and can be used for high availability and disaster recovery. The document outlines the initial setup process and ongoing administration of HSR configurations.
SAP HANA System Replication - Setup, Operations and HANA MonitoringLinh Nguyen
SAP HANA Distributed System Replication setup, operations and associated HANA Monitoring of Disaster Recovery (DR) scenario using OZSOFT HANA Management Pack for SCOM
Oracle RAC on Extended Distance Clusters - PresentationMarkus Michalewicz
NOTE that a newer version of this presentation (covering Oracle RAC 12c Release) has been uploaded to my SlideShare: https://www.slideshare.net/MarkusMichalewicz/oracle-extended-clusters-for-oracle-rac
This presentation can be used as an illustration for some of the ideas and best practices discussed in the paper "Oracle RAC and Oracle RAC One Node on Extended Distance (Stretched) Clusters"
This presentation is the introduction to the monthly CloudStack.org demonstration. The presentation details the latest features in the CloudStack open source project as well as project news. To attend a future presentation, with live demo and Q&A visit:
http://www.slideshare.net/cloudstack/introduction-to-cloudstack-12590733
This document discusses SAP HANA system replication which can be automated using the SUSE High Availability Solution. It provides an overview of SAP HANA scenarios for high availability and disaster recovery. It also summarizes the steps to install and configure SAP HANA system replication using the SUSE clustering and automation tools. New use cases that will be supported in upcoming versions are also presented such as single-tier replication with additional non-production systems and multi-tier cascading replication configurations.
The document provides an overview of the Windows Azure Platform. It describes the client, integration, and application layers that make up the platform. It also outlines the data services available, including storage, databases, computing resources, and networking capabilities. Finally, it discusses high availability and deployment options for ensuring reliability and uptime of applications and services built on the Azure platform.
This presentation is based on Lawrence To's Maximum Availability Architecture (MAA) Oracle Open World Presentation talking about the latest updates on high availability (HA) best practices across multiple architectures, features and products in Oracle Database 19c. It considers all workloads, OLTP, DWH and analytics, mixed workload as well as on-premises and cloud-based deployments.
This technical pitch deck summarizes SAP solutions on Microsoft Azure. It outlines challenges with on-premises SAP environments and how moving to SAP HANA in the cloud on Azure can enable faster processes, accelerated innovation, and 360-degree insights. It then covers the journey to migrating SAP landscapes to SAP HANA and Azure, including lifting SAP systems with any database to Azure, migrating to SAP HANA, and migrating to S/4HANA. Finally, it discusses how Azure enables insights from SAP and non-SAP data.
Maximum Availability Architecture - Best Practices for Oracle Database 19cGlen Hawkins
Provides the latest updates on high availability (HA) best practices in this well-established technical deep-dive session. Learn how to optimize all aspects of Oracle Active Data Guard 19c. See how to use session draining, transparent application continuity, Oracle RAC, and Oracle GoldenGate to mask outages and planned maintenance from users and to accelerate time to repair for single database or your fleet of databases. Hear about the latest HA best practices with Oracle Multitenant and understand how the new sharded architecture can achieve even higher levels of HA and fault isolation for OLTP applications. Find out how everything you know about Oracle Maximum Availability Architecture (MAA) on-premises can be deployed in the cloud.
The document discusses a mid-evaluation of a major project comparing several hypervisors. It will compare Xen, KVM, VMware, and VirtualBox based on their technical differences and performance benchmarks. The benchmarks will test CPU speed, network speed, I/O speed, and performance running various server workloads. This comparison will help determine the best hypervisor for a given virtualization situation. Key factors that will be compared include OS support, security, CPU speed, network speed, I/O speed, and response times.
HA/DR options with SQL Server in Azure and hybridJames Serra
What are all the high availability (HA) and disaster recovery (DR) options for SQL Server in a Azure VM (IaaS)? Which of these options can be used in a hybrid combination (Azure VM and on-prem)? I will cover features such as AlwaysOn AG, Failover cluster, Azure SQL Data Sync, Log Shipping, SQL Server data files in Azure, Mirroring, Azure Site Recovery, and Azure Backup.
SAP HANA typical implementations today
Outlook for the next 12-18 months
Disaster Recovery capabilities of SAP HANA
Complete automation of Disaster Recovery for SAP HANA with SUSE Linux High Availability
Speakers: Dan Lahl (VP Database Product, SAP), Markus Guertler (Senior SAP Architect, SUSE)
Kubernates vs Openshift: What is the difference and comparison between Opensh...jeetendra mandal
Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. OpenShift is a container application platform from Red Hat that is based on Kubernetes but provides additional features such as integrated CI/CD pipelines and a native networking solution. While Kubernetes provides more flexibility in deployment environments and is open source, OpenShift offers easier management, stronger security policies, and commercial support but is limited to Red Hat Linux distributions. Both are excellent for building and deploying containerized apps, with OpenShift providing more out-of-the-box functionality and Kubernetes offering more flexibility.
This document provides an overview of VMware virtualization solutions including ESXi, vSphere, and vCenter. It describes what virtualization and hypervisors are, lists VMware's product lines, and summarizes key features and capabilities of ESXi, vSphere, and vCenter such as centralized management, monitoring, high availability, and scalability.
Dell Technologies è un’esclusiva famiglia di aziende che offre alle organizzazioni l’infrastruttura necessaria per costruire il loro futuro digitale, favorire l’IT Transformation e proteggere le loro risorse più importanti: le informazioni.
In particolare per il settore dell’Education di livello superiore, Dell EMC ha studiato un catalogo di soluzioni in aree quali:
Converged Infrastructure
Storage e Protection dei dati
Servizi di didattica digitale
In questo ciclo di webinar illustreremo le soluzioni Dell EMC più all'avanguardia, attualmente oggetto di studio da parte della Fondazione CRUI per un possibile contratto in convenzione.
"Maximum Availability Architecture (MAA) for Oracle Database, Exadata and the Cloud" was first presented during Oracle Open World (OOW) 2019. This version of the deck has been updated for OOW London 2020 including the latest information regarding patching and upgrading the Oracle Database with Zero Downtime.
Oracle RAC 19c: Best Practices and Secret InternalsAnil Nair
Oracle Real Application Clusters 19c provides best practices and new features for upgrading to Oracle 19c. It discusses upgrading Oracle RAC to Linux 7 with minimal downtime using node draining and relocation techniques. Oracle 19c allows for upgrading the Grid Infrastructure management repository and patching faster using a new Oracle home. The presentation also covers new resource modeling for PDBs in Oracle 19c and improved Clusterware diagnostics.
Azure Storage is a cloud storage solution that provides four main services - Blob storage, Table storage, Queue storage, and File storage. It allows storing and processing large amounts of unstructured and structured data. Data is stored durably with different replication options for high availability. The storage services can be accessed from various applications and platforms using SDKs and tools.
This document summarizes a presentation on "Infrastructure as Code" for beginners. It discusses automating deployment, provisioning, environments, and virtual machine management through continuous integration/delivery practices and configuration management tools. Specific topics covered include deployment pipelines, desired state configuration, separating configuration for different environments, immutable infrastructure patterns, building golden images, and infrastructure automation through tools like Ansible, Packer and Terraform. A demo is provided to illustrate these concepts in action.
This document discusses best practices for migrating database workloads to Azure Infrastructure as a Service (IaaS). Some key points include:
- Choosing the appropriate VM series like E or M series optimized for database workloads.
- Using availability zones and geo-redundant storage for high availability and disaster recovery.
- Sizing storage correctly based on the database's input/output needs and using premium SSDs where needed.
- Migrating existing monitoring and management tools to the cloud to provide familiarity and automating tasks like backups, patching, and problem resolution.
This document provides guidance and best practices for using Infrastructure as a Service (IaaS) on Microsoft Azure for database workloads. It discusses key differences between IaaS, Platform as a Service (PaaS), and Software as a Service (SaaS). The document also covers Azure-specific concepts like virtual machine series, availability zones, storage accounts, and redundancy options to help architects design cloud infrastructures that meet business requirements. Specialized configurations like constrained VMs and ultra disks are also presented along with strategies for ensuring high performance and availability of database workloads on Azure IaaS.
Healthcare Claim Reimbursement using Apache SparkDatabricks
The document discusses rewriting a claims reimbursement system using Spark. It describes how Spark provides better performance, scalability and cost savings compared to the previous Oracle-based system. Key points include using Spark for ETL to load data into a Delta Lake data lake, implementing the business logic in a reusable Java library, and seeing significant increases in processing volumes and speeds compared to the prior system. Challenges and tips for adoption are also provided.
This document provides an overview of data streaming fundamentals and tools. It discusses how data streaming processes unbounded, continuous data streams in real-time as opposed to static datasets. The key aspects covered include data streaming architecture, specifically the lambda architecture, and popular open source data streaming tools like Apache Spark, Apache Flink, Apache Samza, Apache Storm, Apache Kafka, Apache Flume, Apache NiFi, Apache Ignite and Apache Apex.
Running Production CDC Ingestion Pipelines With Balaji Varadarajan and Pritam...HostedbyConfluent
Running Production CDC Ingestion Pipelines With Balaji Varadarajan and Pritam K Dey | Current 2022
Robinhood’s mission is to democratize finance for all. Data driven decision making is key to achieving this goal. Data needed are hosted in various OLTP databases. Replicating this data near real time in a reliable fashion to data lakehouse powers many critical use cases for the company. In Robinhood, CDC is not only used for ingestion to data-lake but is also being adopted for inter-system message exchanges between different online micro services. .
In this talk, we will describe the evolution of change data capture based ingestion in Robinhood not only in terms of the scale of data stored and queries made, but also the use cases that it supports. We will go in-depth into the CDC architecture built around our Kafka ecosystem using open source system Debezium and Apache Hudi. We will cover online inter-system message exchange use-cases along with our experience running this service at scale in Robinhood along with lessons learned.
Hadoop 3.0 will include major new features like HDFS erasure coding for improved storage efficiency and YARN support for long running services and Docker containers to improve resource utilization. However, it will maintain backwards compatibility and a focus on testing given the importance of compatibility for existing Hadoop users. The release is targeted for late 2017 after several alpha and beta stages.
Apache Hadoop 3 is coming! As the next major milestone for hadoop and big data, it attracts everyone's attention as showcase several bleeding-edge technologies and significant features across all components of Apache Hadoop: Erasure Coding in HDFS, Docker container support, Apache Slider integration and Native service support, Application Timeline Service version 2, Hadoop library updates and client-side class path isolation, etc. In this talk, first we will update the status of Hadoop 3.0 releasing work in apache community and the feasible path through alpha, beta towards GA. Then we will go deep diving on each new feature, include: development progress and maturity status in Hadoop 3. Last but not the least, as a new major release, Hadoop 3.0 will contain some incompatible API or CLI changes which could be challengeable for downstream projects and existing Hadoop users for upgrade - we will go through these major changes and explore its impact to other projects and users.
Revolutionary Storage for Modern Databases, Applications and Infrastrcturesabnees
Sanjay Sabnis presented on next generation storage solutions for modern big data applications. He discussed how NVMe storage provides significantly higher performance than SATA, with speeds over 6x faster for reads and over 40x faster for writes. Pavilion Data offers an all-NVMe rack scale storage array that provides 120GB/s of throughput with DAS-level latency. This solution can meet the performance and scalability demands of big data workloads like MongoDB, Splunk, and containerized applications.
Big Data Streams Architectures. Why? What? How?Anton Nazaruk
With a current zoo of technologies and different ways of their interaction it's a big challenge to architect a system (or adopt existed one) that will conform to low-latency BigData analysis requirements. Apache Kafka and Kappa Architecture in particular take more and more attention over classic Hadoop-centric technologies stack. New Consumer API put significant boost in this direction. Microservices-based streaming processing and new Kafka Streams tend to be a synergy in BigData world.
The document provides information about database administration including:
1. It discusses different database management system (DBMS) architectures like enterprise, departmental, personal, mobile, and cloud.
2. It describes factors to consider when choosing a DBMS like operating system support, organization type, benchmarks, scalability, tools availability, technicians availability, and cost of ownership.
3. It outlines the Oracle database installation process including hardware and software requirements, available installation options, and tools for database administration.
The document provides information about database administration including:
1. It discusses different database management system (DBMS) architectures like enterprise, departmental, personal, mobile, and cloud.
2. It describes factors to consider when choosing a DBMS like operating system support, organization type, benchmarks, scalability, tools availability, technicians availability, and cost of ownership.
3. It outlines the Oracle database installation process including hardware and software requirements, available installation options, and tools for database administration.
Maximizing performance via tuning and optimizationMariaDB plc
Maximizing Performance via Tuning and Optimization outlines best practices for optimizing MariaDB server performance. It discusses:
- Defining service level agreements and metrics to monitor against them
- When to tune based on schema, query, or system changes
- Ensuring server, storage, network and OS settings support database needs
- Configuring connection pooling and threads to manage load
- Common MariaDB configuration settings that impact performance
- Query tuning techniques like indexing, monitoring tools, and database design
Maximizing performance via tuning and optimizationMariaDB plc
Maximizing performance via tuning and optimization involves:
- Defining service level agreements and translating them to database transactions.
- Capturing metrics on business, application, and database transactions to identify bottlenecks.
- Tuning from the start and periodically reviewing production systems for changes.
- Optimizing server, storage, network and OS settings as well as MariaDB configuration settings like buffer pool size, query cache size, and connection settings.
- Analyzing slow queries, indexing appropriately, and monitoring tools like Performance Schema.
- Designing databases and choosing optimal data types.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
VMworld Europe 2014: Advanced SQL Server on vSphere Techniques and Best Pract...VMworld
This document provides an overview and agenda for a presentation on virtualizing SQL Server workloads on VMware vSphere. The presentation will cover designing SQL Server virtual machines for performance in production environments, consolidating multiple SQL Server workloads, and ensuring SQL Server availability using vSphere features. It emphasizes understanding the workload, optimizing for storage and network performance, avoiding swapping, using large memory pages, and accounting for NUMA when configuring SQL Server virtual machines.
Still All on One Server: Perforce at Scale Perforce
Google runs the busiest single Perforce server on the planet, and one of the largest repositories in any source control system. This session will address server performance and other issues of scale, as well as where Google is in general, how it got there and how it continues to stay ahead of its users.
Technical white paper--Optimizing Quality of Service with SAP HANAon Power Ra...Krystel Hery
This technical white paper evaluates how SAP HANA's in-memory database improves cold start performance and quality of service on IBM Power Systems when using IBM Non-Volatile Memory Express adapters. Test results show the NVMe configuration reduced a database load time by a factor of 4.6 compared to a mid-range flash storage solution. The paper also discusses SAP HANA high availability features, RAID configurations using NVMe, and performance tuning needed to leverage the higher bandwidth of NVMe for improved database ramp up times and reduced downtime.
This technical white paper evaluates how SAP HANA's in-memory database improves cold start performance and quality of service on IBM Power Systems when using IBM Non-Volatile Memory Express adapters. It finds that NVMe significantly accelerates performance ramp-up time after database reactivation by providing very low latency and high read bandwidth. A sample configuration using RAID100 with NVMe in parallel with traditional storage delivers increased resiliency without negatively impacting database read performance.
The document discusses topics related to designing and implementing an SAP HANA infrastructure, including the hardware and software components required for the SAP HANA server, storage, network, backup, and disaster recovery systems. It provides information on sizing SAP HANA systems, certified hardware partners, storage options like TDI, network requirements, security best practices, backup methods, and high availability and disaster recovery strategies. The presentation aims to help with planning and designing the various elements of an SAP HANA infrastructure.
Similar to SAP HANA System Replication (HSR) versus SAP Replication Server (SRS) (20)
This document discusses placing the SAP Application Server Central Services (ASCS) into containers on Kubernetes. It proposes using containers for the ASCS and Enqueue Replication Server (ERS) with anti-affinity rules to ensure high availability without traditional clustering. Benefits include simplified high availability without requiring cluster technology while still providing required features and allowing SAP systems to utilize anonymous compute nodes rather than dedicated hardware. Considerations include licensing and ensuring the Message Server and ERS are never placed on the same node.
Aliter Consulting's latest challenge on a customer project was the integration of SAP on Azure into the customer’s SaaS Office 365 environment for outbound and inbound email for SAP S/4HANA to support inbound email for OpenText VIM and SAP GRC, and other general outbound mail requirements...
OpenText Archive Center 16.2 Single File Vendor Interface (VI) using Microsoft Azure Storage Account as a storage device is now supported on Linux. Checkout this brief overview of its usage on one of our current projects. Thanks to Manish Shah (Microsoft) for his contribution and working with OpenText to achieve support on Linux, to Supriya Pande for her article on the Microsoft Azure Storage Explorer, to Oleh Khrypko (SAP) for his input to handling disaster recovery on OpenText Archive Center and Gary Jackson (Aliter Consulting) for the article.
Tips on implementing SAP adaptive computing design with SAP LaMa on Microsoft Azure. We discuss the best options for SAP and some of the challenges faced.
This document provides instructions for setting up SSL connectivity between SAP LVM and the SAP Host Agent using x509 certificate authentication. It involves generating a certificate signing request for the LVM server, having it signed by a certificate authority, uploading the signed certificate and CA/ICA certificates to the LVM keystore. It also describes adding the CA/ICA certificates to the Host Agent's PSE, configuring the host profile, and testing the SSL connection between LVM and the Host Agent.
This document provides instructions for integrating SAP Business Process Automation (BPA) with SAP Landscape Virtualization Management (LVM). It involves creating a custom operation in LVM that allows controlling BPA queues. This is done by creating a provider implementation and custom operation in LVM along with a process definition and web service in BPA. It also requires registering a script with the host agent to connect the LVM and BPA configurations. The custom operation then allows holding or releasing BPA queues from the LVM interface.
This document provides an overview of how to customize SAP Landscape Virtualization Management (LVM) with custom operations and hooks. It describes defining a provider implementation ("LVM_CustomOperation_ClusterAdm") and custom operations ("Freeze", "Unfreeze", "Relocate") for managing a Red Hat cluster. A sample script ("ClusterAdm.ksh") demonstrates how custom operations could freeze/unfreeze the cluster before SAP instance start/stop operations. The provider implementation and custom operations/hooks allow LVM to integrate cluster management operations.
This document provides instructions for installing SAP Router using Secure Network Communication (SNC) and registering it with SAP. It outlines downloading the installation files, creating a dedicated system user and filesystem, unpacking and configuring the software, generating and importing an SNC certificate, creating a router table, and starting/stopping the SAP Router service.
This document provides guidance on customizing SAP Landscape Virtualization Management (LVM) to manage custom instance types. It describes how to configure generic operations like detect, monitor, start, and stop by creating scripts referenced in configuration files. An example is provided for managing SAP Replication Server (SRS) instances, with configuration files and sample scripting code shown.
The document discusses SAP Web Dispatcher 7.40, which is a load balancer that provides intelligent load distribution for SAP Portal. It can handle stateful or stateless sessions over HTTP or HTTPS invisibly to clients. It supports round-robin load distribution for non-SAP backends like Tomcat. It also allows for multiple SSL certificates to handle multiple domains and backends. SAP Web Dispatcher provides reliability, security, and high performance to handle thousands of concurrent users. It includes features like maintenance mode, custom error pages, and is free to use with an SAP license.
Old Tools, New Tricks: Unleashing the Power of Time-Tested Testing ToolsBenjamin Bischoff
In the rapidly evolving landscape of software development and testing, it is tempting to chase the latest tools and technologies. However, some of the most effective solutions have been in existence for decades. In this talk, we’ll delve into the enduring value of these timeless testing tools.
We’ll explore how established tools like Selenium, GNU Make, Maven, and Bash remain vital in today’s software development and testing toolkit even though they have been around for a long time (some were even invented before I was born). I’ll share examples of how these tools have addressed our testing and automation challenges, showcasing their adaptability, versatility, and reliability in various scenarios. I aim to demonstrate that sometimes, the “old” ways can indeed be the best ways.
The code is written and the tests pass. I just have to commit this last round of changes to my branch. Wait, why does that say committed to main? Did I commit all those changes to main? Arghh! I can’t redo all of this!
Committing changes to the wrong branch, forgetting files, misspelling the commit message, and needing to undo commits are some of the “advanced” features of Git that we normal people run into way too often and need help with. The fixes are often easy – once you know what they are. But in the heat of the moment, with the deadline (or Friday afternoon) approaching, it isn’t always easy to figure out what magic spell to cast to get Git to do what you need.
We’ll spend some time looking at typical Git situations people get themselves into, and then we’ll demonstrate how to get out of them. This isn’t about Git internals or a Git master’s class – this real-world Git when things aren’t going right. And there will be plenty of time for questions, so bring your “best” Git nightmare scenarios so we can figure out how to recover.
Tube Magic Software | Youtube Software | Best AI Tool For Growing Youtube Cha...David D. Scott
Tube Magic Software is your ultimate tool for creating stunning video content with ease. Designed with both beginners and professionals in mind, it offers a user-friendly interface packed with powerful features. From seamless editing to eye-catching effects, Tube Magic helps you bring your creative vision to life. Elevate your videos and captivate your audience effortlessly. Join our community of content creators and experience the magic today!
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.
BDRSuite - #1 Cost effective Data Backup and Recovery Solutionpraveene26
BDRSuite and BDRCloud by Vembu are comprehensive and cost-effective backup and disaster recovery solutions designed to meet the diverse data protection requirements of Businesses and Service Providers.
With BDRSuite & BDRCloud, you can backup diverse IT workloads from any location, including VMs (VMware, Hyper-V, KVM, Proxmox VE, oVirt), Servers & Endpoints (Windows, Linux, Mac), SaaS Applications (Microsoft 365, Google Workspace), Cloud VMs (AWS, Azure), NAS/File Shares and Databases & Applications (Microsoft Exchange Server, SQL Server, SharePoint Server, PostgreSQL, MySQL).
You can store backup anywhere like On-Premise/Remote storage, Private/Public Cloud, and BDRCloud.
You can centrally manage the entire backup infrastructure with BDRSuite’s self-hosted centralized management console (or) BDRCloud-hosted centralized management console.
You can quickly recover from data loss or ransomware attacks—all at an affordable price.
To know more visit our website -
https://www.bdrsuite.com/
https://www.bdrcloud.com/
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.
Get to know Autonomous 2.0, the latest innovation from Applitools, in this sneak peek session showcasing how our AI-powered testing solutions revolutionize how you create, debug, and manage test scripts. See more and sign up for a free trial at https://applitools.info/ml6
iBirds Services - Comprehensive Salesforce CRM and Software Development Solut...vijayatibirds
Unlock the full potential of your business with iBirds Services. As a trusted Salesforce Consulting Partner, iBirds Software Pvt. Ltd. offers a wide range of customer-centric consulting services to help you seamlessly integrate, customize, and optimize your Salesforce CRM. Our team of experts specializes in delivering innovative software development solutions tailored to meet your unique business needs.
In this document, you will discover:
An overview of iBirds Services and our expertise in Salesforce CRM implementation.
Detailed insights into our software development services, including custom applications, integrations, and automation.
Case studies highlighting our successful projects and satisfied clients.
Key benefits of partnering with iBirds Services for your CRM and software development needs.
Whether you are a small business or a large enterprise, our proven strategies and cutting-edge technologies ensure your business stays ahead of the competition. Explore our services and learn how iBirds can transform your business operations with scalable and efficient solutions.
Empowering Businesses with Intelligent Software Solutions - GrawlixAarisha Shaikh
Explore Grawlix's comprehensive suite of intelligent software solutions designed to drive transformative growth and scalability for businesses. This presentation covers our expertise in bespoke software development, digital marketing, web design, cloud solutions, cybersecurity, AI/ML, and IT consulting. Discover how Grawlix's customized solutions enhance productivity, streamline processes, and enable data-driven decision-making. Learn about our key projects, technologies, and the dedicated team who ensures exceptional client satisfaction through innovation and excellence.
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.
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!
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.
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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
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.
2. Automation
Core
• Technology
improvements
mean
computing
tasks
previously
requiring
interaction
with
people,
can
be
fully
automated.
• Automation
brings
repeatability,
reduced
error
rates,
easy
scalability
of
service
provision.
Platform
Agnostic
• Future
interoperability
and
open
standards
will
mean
businesses
can
swap
easily
between
cloud
providers.
• It
is
key
that
solutions
are
designed
to
operate
in
such
a
platform
agnostic
manner
outside
the
bounds
of
normal
technical
architecture
design
(i.e.
no
fixed
O/S
choices
or
fixed
DB
platforms).
Established
Technological
Principals
• Solutions
today,
should
be
built
using
already
established
technological
principals.
• Using
bleeding
edge
rarely
produces
the
perceived
benefits
in
places
such
as
core
business
systems,
without
significant
buy-‐in
from
business
leaders.
• Pre-‐empting
standards
not
already
widely
adopted,
could
produce
a
“Beta-‐Max”
scenario.
Future
Assurance
• Technology
solutions
should
deliver
for
a
minimum
timeframe
within
the
context
of
the
lifecycle
of
the
related
business
system.
• Example:
Re-‐writing
scripts
during
any
platform
migration
should
not
just
use
the
coolest
scripting
language,
they
should
use
a
commonly
known
language
widely
used
and
understood.
Aliter
Consulting
Drivers
3. • Specific
to
SAP
HANA.
• Involves
replication
of
HANA
transaction
log
data
from
source
to
a
secondary
or
tertiary
database
(in
“log
replay”
mode).
• Two
architecture
options:
Multi-‐Target
(mainly
for
DR)
&
Multi-‐Tier
(mainly
for
HA
as
only
1
mode
of
replication
for
all
participants).
• Primary
&
secondary
DB
is
the
same
database
(layout,
size,
blocks).
• Multiple
replication
options:
sync,
sync-‐mem,
async.
• Supports
active-‐active
(read-‐only
on
secondary).
• Supported
on
Microsoft
Azure.
• Recommended
option
for
HANA
database
replication.
• Recommended
option
for
DR
in
Azure
with
Reserved
Instances.
• Backups
of
secondary
(or
tertiary)
databases
are
not
possible.
• Setup
through
HANA
Cockpit,
HANA
Studio
or
command
line.
• Administered
through
HANA
Cockpit,
HANA
Studio
or
command
line.
• Monitored
in
HANA
Cockpit,
HANA
Studio,
command
line
or
DBA_COCKPIT.
About
SAP
HANA
System
Replication
4. • Replication
of
transaction
log
entries.
• Replication
from
Primary
to
Secondary
(multi-‐target
&
multi-‐tier).
• Replication
from
Secondary
to
Tertiary
(DR)
(multi-‐tier).
• Replication
from
Primary
to
Tertiary
(DR)
(multi-‐target).
• All
data
pages/blocks
are
the
same
initially (same
database).
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
��Azure
Region Secondary
Azure
Region
d01 d02 d03
HANA2HANA1 HANA3DB
replication
Pages
Log1…
Log2…
Log3…
Transaction
log
entries.
Multi-‐Target
(Primary
-‐>
Secondary
can
use
SYNC
then
Secondary
-‐>
Tertiary
can
use
ASYNC)
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02
d03HANA2HANA1
HANA3DB
replication
Multi-‐Tier
(Primary
-‐>
Secondary
can
use
SYNC
then
Secondary
-‐>
Tertiary
must also
use
SYNC)
!
Important
!
• Multi-‐Target
=
can
use
diff
rep
modes.
• Multi-‐Tier
=
must
use
same
rep
mode.
Tier
1 Tier
2 Tier
3
Pages Pages
About
SAP
HANA
System
Replication
5. Multi-‐Target:
-‐ Primary
(source)
replicates
to
multiple
target
systems.
-‐ Each
target
can
be
replicated
using
different
replication
modes
(e.g.
SYNC/ASYNC
etc).
Multi-‐Tier:
-‐ Primary
(1st Tier)
replicates
to
secondary
(2nd Tier),
which
can
replicate
to
tertiary
(3rd Tied).
-‐ All
tiers
must
use
same
replication
mode
(e.g.
SYNC
or
ASYNC
or
…
etc).
HSR
Multi-‐Architecture
6. Stage
1:
Initialise
secondary
database.
• Initial
data
shipment
over
the
network.
or
• (a/b)
Initial
backup/restore
to
disk.
Stage
2:
Replication
of
transaction
log
(“log
replay”).
Stage
3:
Add
3rd database.
• Initial
data
shipment
over
the
network.
Or
• Backup/restore
to
disk.
Stage
4:
Replication
of
transaction
log
(“log
replay”).
Azure
Subscription
-‐ Primary
Primary
Azure
Region
d01 d02
HANA2HANA1
Initial
Backup/Restore
Log
shipping
#1a #1b
#2
#1
!
Important
!
• Network
bandwidth.
• I/O
write
times
on
secondary
(data
disk).
• Duration
of
backups.
Azure
Subscription
-‐ Secondary
Secondary
Azure
Region
d03
HANA3
Multi-‐Target
Example
#3
#3a
Log
shipping
#4
HSR
Initial
Setup
7. Stage
1:
Patch
/
upgrade
tertiary
(&
secondary)
databases,
start
at
end
of
replication
chain.
Stage
2:
Failover
from
primary
to
secondary
(already
patched).
Stage
3:
Patch
old
primary
(now
secondary).
Stage
4:
Fail-‐back
when
convenient.
!
Important
!
• No
DB
backups
of
secondary/tertiary.
• Patching
duration.
• Failover
duration.
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02 d03
HANA2HANA1
HANA3DB
replication
Patch
/
Upgrade
#1a
Patch
/
Upgrade
#1b
Patch
/
Upgrade
#3
#2a
Multi-‐Target
Example
HSR
Patching
&
Upgrade
8. Fail
primary
to
secondary:
New
primary
replicates
to
new
secondary
&
old
tertiary:
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02 d03
HANA2HANA1
HANA3DB
replication
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02 d03
HANA2HANA1
HANA3DB
replication
New
Primary
Multi-‐Target
Example
HSR
Failover
(HA/DR)
9. • Not
database
specific
(supports
SAP
ASE,
SAP
HANA,
Oracle,
SQLAnywhere).
• Replication
of
“transactions”
packaged
from
SQL
DDL/DML
changes
from
source
DB
to
a
secondary
or
tertiary
(companion)
database.
• Primary
&
secondary
DB
is
NOT
the
same
database
(layout,
size,
blocks).
• Multiple
replication
options:
sync,
async.
• Multiple
integration/expansion
options
for
the
“queues”
e.g.
separate
VMs.
• Does
not
support
active-‐active
(read-‐only
standby).
• Supported
on
Microsoft
Azure.
• Recommended
option
for
SAP
ASE
database
replication.
• Recommended
option
for
DR
of
ASE
in
Azure
with
Reserved
Instances.
• Backups
of
secondary
(or
tertiary)
databases
are
recommended
(to
prevent
issues
during
secondary
failure).
• Backups
of
SRS
“queues”
are
recommended
(depends
on
latency).
• Setup
through
command
line.
• Administered
through
command
line.
• Monitoring
possible
in
DBA_COCKPIT.
• DR
node
(tertiary
database)
supported
from
ASE
16.03.
About
SAP
Replication
Server
10. • Architecture
changed
slightly
in
ASE
16.0
&
SRS
16.0
• ASE
16.02
supports
only
a
single
companion
database.
• ASE
16.03
supports
companion
plus
a
DR
node
(tertiary
database).
• Queues
changed
slightly
in
ASE
16.0
to
be
file-‐system
based
(SPQ
-‐ simple
persistent
queues).
• Software
changed
slightly
in
ASE
16.0
so
SRS
is
now
embedded
with
ASE
(for
BS)
binaries.
• Software
patching
process
changed
slightly
in
SRS
16.0
as
binaries
integrated
with
ASE
binaries,
so
all
patched
together
from
Hostagent.
• Later
Hostagents can
now
query
SRS
replication
status
directly
(via
DM
Agent).
About
Changes
in
SRS
16.0
11. • Replication
of
transactions
(packaged
up).
• Replication
from
primary
to
standby.
• Replication
from
primary
to
tertiary.
• All
databases
are
physically
different.
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02 d03
ASE2ASE1
ASE3DB
replication
SRS1
SRS2
SRS3
Pages
insert…
update…
delete…
Pages Pages
Transaction
package.
About
SAP
Replication
Server
12. Stage
1:
Initial
backup/restore
to
“disk”
(materialisation).
Stage
2:
Replication
of
transaction
packages.
Stage
3:
Add
DR
node
(tertiary
database).
Azure
Subscription
-‐ Primary
Primary
Azure
Region
d01 d02
ASE2ASE1SRS1 SRS2
!
Important
!
• Disk
I/O
on
backup
disk.
• Network
bandwidth.
• I/O
write
times
on
secondary
(data
disk).
• Duration
of
backups.
• Duration
of
restores.
Initial
Backup/Restore
#1a #1b
#2
Azure
Subscription
-‐ Secondary
Secondary
Azure
Region
d03
ASE3SRS3
#3
Materialisation
SRS
Initial
Setup
13. Stage
1:
Patch
/
upgrade
tertiary
database.
Stage
2:
Patch
Primary
SRS
(unused
in
normal
operation).
Stage
3:
Failover
from
primary
to
secondary.
Stage
4:
Patch
secondary
SRS
(now
primary).
Stage
5:
Patch
(old)
primary
ASE.
Stage
6:
Failover
from
secondary
to
(old)
primary.
Stage
7:
Patch
secondary
ASE.
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02 d03
ASE2ASE1
ASE3DB
replication
SRS1
SRS2
SRS3
!
Important
!
• Patching
duration.
• Failover
duration.
ASE
Patch
/
Upgrade
#1
AE
Patch
/
Upgrade
#7
ASE
Patch
/
Upgrade
#5
#3
!
Important
!
• SRS
is
patched
on
LIVE
primary
as
it
is
inactive!
#2
Patch
LIVE!
#4
#6
Patch
SRS
Patching
&
Upgrade
14. Fail
primary
to
secondary:
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02 d03
ASE2ASE1
ASE3DB
replication
SRS1
SRS2
SRS3
Azure
Subscription
-‐ SecondaryAzure
Subscription
-‐ Primary
Primary
Azure
Region Secondary
Azure
Region
d01 d02 d03
ASE2ASE1
ASE3DB
replication
SRS1 SRS2
SRS3
SRS
on
old
primary
is
now
active
and
new
secondary
ASE
replicates
to
SRS1
and
SRS3,
SRS
on
new
primary
is
inactive
(path
de-‐active):
New
Primary
Primary
SRS
Failover
(HA/DR)
15. • SRS
is
far
more
flexible
and
supports
different
DB
vendors.
• Cost
of
SRS
is
inherently
less
as
it’s
not
in-‐memory.
• However,
SRS
incurs
higher
patching
effort
compared
to
HSR.
• HSR
patching
frequency
will
be
higher
(for
HANA
support
requirements).
• HSR
has
other
abilities
(such
as
re-‐using
DR
node
as
Test
system
host).
• SRS
administration
is
mainly
command
line
driven.
Summary
16. SAP
Notes:
• SAP
Note
1999880
“FAQ:
SAP
HANA
System
Replication”
v154
• SAP
Note
1891560
“SYB:
Disaster
Recovery
Setup
with
SAP
Replication
Server”
v65
SAP
SRS
Guides:
• SAP
SRS
3rd Node
(DR
node
or
“Companion
Node”):
https://help.sap.com/viewer/38af74a09e48457ab699e83f6dfb051a/16.0.3.5/en-‐
US/6ca81e90696e4946a68e9257fa2d3c31.html
• Performing
a
rolling
upgrade
with
DR
node:
https://help.sap.com/viewer/38af74a09e48457ab699e83f6dfb051a/16.0.3.5/en-‐
US/57c39954b2aa4a5ca6e1da46935ec9d7.html
SAP
HANA
System
Replication
Guides:
• SAP
HANA
System
Replication:
https://help.sap.com/viewer/6b94445c94ae495c83a19646e7c3fd56/2.0.03/en-‐
US/b74e16a9e09541749a745f41246a065e.html
• SAP
HANA
System
Replication
Multi-‐target:
https://help.sap.com/viewer/6b94445c94ae495c83a19646e7c3fd56/2.0.03/en-‐
US/ba457510958241889a459e606bbcf3d3.html
• SAP
HANA
System
Replication
Multi-‐Tier:
https://help.sap.com/viewer/6b94445c94ae495c83a19646e7c3fd56/2.0.03/en-‐
US/ca6f4c62c45b4c85a109c7faf62881fc.html
References