OpManager provides event log monitoring capabilities, with a visual guide available through video instructions. Users can access the demonstration by visiting the provided YouTube link.
AD authentication in OpManager is currently in beta testing. A video is available demonstrating the new feature on YouTube at the URL http://www.youtube.com/watch?v=ttnKxhhaKEg. The video shows how AD authentication works in OpManager.
OpManager can process 1 million traps in just 1 hour, providing impressive performance for monitoring networks. A video on their website demonstrates this capability and allows viewers to learn more about how OpManager efficiently handles high volumes of traps. The URL provided points to a demonstration on YouTube.
The document outlines an application performance monitoring solution for IT operations and DevOps, detailing features such as synthetic transaction monitoring and session replay to enhance customer experiences. It discusses troubleshooting website issues, optimizing URLs, and monitoring REST APIs for critical applications. The aim is to ensure seamless browsing experiences, validate performance metrics, and prevent unauthorized changes to web content.
Learn how to how to monitor and gain code-level insights into the performance of your Java, Node.js, PHP, and .NET Core applications in real-time with the help of ManageEngine Applications Manager.
Get a complete overview of NetFlow Analyzer. Learn about the basic initial settings, configuration, customization, alerts, reports, and the various other features of the product.
Learn how to monitor the operational status of servers and virtual machines across an organization's IT infrastructure, track the status of critical metrics, tackle hardware problems, and optimize resource allocation effectively with ManageEngine Applications Manager.
This document discusses monitoring various cloud infrastructure and applications using an end-to-end application performance monitoring solution. It covers monitoring metrics in AWS, GCP, Oracle Cloud Infrastructure, Hyperconverged infrastructure like Nutanix and Cisco UCS, Oracle Autonomous Database, and using trend analysis reports for forecasting and resource planning. Upcoming monitoring enhancements for additional cloud services on AWS, Azure, and GCP are also outlined through 2020.
The document discusses an end-to-end application performance monitoring solution for IT Ops and DevOps, focusing on optimizing individual URLs and enhancing user experience through various methods. It highlights the use of synthetic transaction monitoring, session replays, and website content monitoring to detect slow loading pages and unauthorized changes. Additionally, it emphasizes the importance of measuring customer experience and understanding user journeys for effective performance management.
Learn the various advanced monitoring, customization, troubleshooting and security features in Netflow Analyzer.
Agenda:
-Troubleshooting with forensics and ASAM
-Reporting and automation
-Traffic shaping
-Distributed Monitoring
The document discusses an end-to-end application performance monitoring solution that integrates various aspects of performance, including application, infrastructure, and user experience. It outlines the challenges faced in traditional application performance troubleshooting and highlights the benefits of modern approaches that provide code-level visibility and quicker resolutions. The solution emphasizes optimizing database calls, error trace analysis, and ensuring high availability of applications while reducing resource costs.
NetFlow Analyzer captures flow data and monitors interface bandwidth usage in real-time. This product overview will help you get the most out of NetFlow Analyzer.
This document discusses monitoring cloud and hyperconverged infrastructure. It covers monitoring Amazon Web Services (AWS) by visualizing metrics for compute, storage, databases and other services. It also discusses monitoring Oracle Cloud Infrastructure and Google Cloud Platform, including compute metrics. Monitoring Nutanix hyperconverged infrastructure is covered, such as storage, virtual machines and alerts. The document concludes with the importance of capacity planning for cloud resources.
This document discusses website monitoring strategies including tracking key metrics of web servers like Apache, IIS and Nginx; optimizing individual URLs for user experience; using synthetic monitoring to simulate web transactions; and detecting unauthorized content changes. It provides overviews of monitoring various web servers and their key performance indicators. It also describes optimizing the user experience by monitoring URL sequences, implementing real browser monitoring, and using web transaction recording. Finally, it discusses monitoring website content to detect hacks and defacement.
This document summarizes a presentation about unlocking the value of big data infrastructure. It discusses key components of Apache Hadoop and Spark including HDFS, MapReduce, YARN, and Spark cores/RDDs. It also discusses leveraging graph databases for business, NoSQL databases in big data frameworks like MongoDB, Cassandra, and Redis. Finally, it discusses discovering and mapping issues, and forecasting utilization trends to plan capacity.
The document outlines strategies for optimizing application performance and enhancing end user satisfaction through effective monitoring and troubleshooting techniques. Key components include identifying slow transactions, analyzing database performance, and utilizing application performance monitoring (APM) tools for insights. Upcoming modules focus on topics such as big data infrastructure and website monitoring strategies to ensure optimal user experience.
The document outlines a schedule of monitoring cloud applications and containers, detailing completed and ongoing modules on AWS, Azure, and containerization strategies. It emphasizes the importance of utilizing performance metrics for AWS and Azure services, including EC2, RDS, and Kubernetes, while providing links for setting up monitoring. Additionally, it covers resource planning and capacity forecasting for cloud infrastructure management.
This document discusses implementing the right website monitoring strategy. It covers monitoring web servers like Apache, IIS, and Nginx to ensure performance and availability. It also discusses optimizing individual URLs, monitoring dynamic webpages through synthetic transactions, and detecting unauthorized changes to websites through content monitoring. The overall strategy aims to provide visibility, optimize user experience, and prevent hacks.
The document outlines modules for managing big data and non-relational database applications, detailing their scheduling, agenda, and key topics such as visibility, monitoring strategies, and performance analysis. It covers essential components of Hadoop and Spark, as well as issues related to disk and memory in NoSQL databases like MongoDB, Cassandra, and Redis. The document also emphasizes forecasting utilization trends and capacity planning, providing contact information for further inquiry and an online demo.
The document outlines a comprehensive application performance monitoring solution aimed at enhancing IT operations and DevOps visibility. It discusses critical components for monitoring, such as application response times, database performance, and user satisfaction metrics, while identifying common performance issues and providing insights for troubleshooting. Upcoming modules will cover a range of topics including website monitoring strategies, cloud application monitoring, and enhancements for PHP and Node.js applications.
This document summarizes a training session on fault management and IT automation using OpManager. It includes an agenda covering alarm severity levels, threshold violation alarms, alarms from event logs, SNMP traps, syslog alarms, and notifications. It also discusses using IT workflows to automate problem remediation.
This document outlines a training session on OpManager, focusing on monitoring network performance and hardware sensors. Key topics include setting up SNMP monitors, tracking WAN and VoIP performance, and creating custom dashboards and network maps. The session also covers user access restrictions, interface performance monitoring, and specific device metrics.
The document outlines a training session for OpManager, focusing on monitoring server performance, including availability, storage, website URLs, and processes. It covers performance metrics, health reports, and various monitoring capabilities for both physical and virtual environments. Additionally, it discusses script monitoring and configuration options for alerts and thresholds.
The document provides an overview of a training session on OpManager, detailing prerequisites for installation, challenges in device discovery, and important steps to streamline the process. It outlines various use cases, such as automating device addition through SNMP traps, discovering devices using router IPs, and integrating with ServiceNow. Additionally, it addresses common problems encountered during device discovery and offers solutions to ensure successful network scanning.
The document provides an overview of ManageEngine Oputils, a software designed for IP address and switch port management, enabling network engineers to efficiently monitor network infrastructure and detect rogue devices. It outlines key features such as bandwidth monitoring, configuration file management, and troubleshooting tools while addressing challenges faced by network professionals. Additionally, it highlights the importance of scheduled network scans and alert configurations for maintaining network security and operational efficiency.
The document provides insights into monitoring cloud applications within AWS, Azure, and Office 365, focusing on maximizing efficiency and diagnosing performance issues. It outlines the prerequisites for integrating these platforms with applications manager, highlights key performance metrics for AWS services, and details Azure monitoring capabilities as well as Office 365 performance metrics. Additionally, it emphasizes the importance of cloud analytics for effective resource planning.
The document discusses application performance management, analyzing slow queries, and measuring end user satisfaction. It outlines the architecture of application performance management tools and provides insights on optimizing application and database performance. Additionally, it emphasizes the importance of monitoring end user interactions to enhance web application efficiency.
Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical UniversesSaikat Basu
油
Embark on a cosmic journey exploring the intersection of quantum
computing, consciousness, and ancient wisdom. Together we'll uncover the
recursive patterns that bind our reality.
Learn the various advanced monitoring, customization, troubleshooting and security features in Netflow Analyzer.
Agenda:
-Troubleshooting with forensics and ASAM
-Reporting and automation
-Traffic shaping
-Distributed Monitoring
The document discusses an end-to-end application performance monitoring solution that integrates various aspects of performance, including application, infrastructure, and user experience. It outlines the challenges faced in traditional application performance troubleshooting and highlights the benefits of modern approaches that provide code-level visibility and quicker resolutions. The solution emphasizes optimizing database calls, error trace analysis, and ensuring high availability of applications while reducing resource costs.
NetFlow Analyzer captures flow data and monitors interface bandwidth usage in real-time. This product overview will help you get the most out of NetFlow Analyzer.
This document discusses monitoring cloud and hyperconverged infrastructure. It covers monitoring Amazon Web Services (AWS) by visualizing metrics for compute, storage, databases and other services. It also discusses monitoring Oracle Cloud Infrastructure and Google Cloud Platform, including compute metrics. Monitoring Nutanix hyperconverged infrastructure is covered, such as storage, virtual machines and alerts. The document concludes with the importance of capacity planning for cloud resources.
This document discusses website monitoring strategies including tracking key metrics of web servers like Apache, IIS and Nginx; optimizing individual URLs for user experience; using synthetic monitoring to simulate web transactions; and detecting unauthorized content changes. It provides overviews of monitoring various web servers and their key performance indicators. It also describes optimizing the user experience by monitoring URL sequences, implementing real browser monitoring, and using web transaction recording. Finally, it discusses monitoring website content to detect hacks and defacement.
This document summarizes a presentation about unlocking the value of big data infrastructure. It discusses key components of Apache Hadoop and Spark including HDFS, MapReduce, YARN, and Spark cores/RDDs. It also discusses leveraging graph databases for business, NoSQL databases in big data frameworks like MongoDB, Cassandra, and Redis. Finally, it discusses discovering and mapping issues, and forecasting utilization trends to plan capacity.
The document outlines strategies for optimizing application performance and enhancing end user satisfaction through effective monitoring and troubleshooting techniques. Key components include identifying slow transactions, analyzing database performance, and utilizing application performance monitoring (APM) tools for insights. Upcoming modules focus on topics such as big data infrastructure and website monitoring strategies to ensure optimal user experience.
The document outlines a schedule of monitoring cloud applications and containers, detailing completed and ongoing modules on AWS, Azure, and containerization strategies. It emphasizes the importance of utilizing performance metrics for AWS and Azure services, including EC2, RDS, and Kubernetes, while providing links for setting up monitoring. Additionally, it covers resource planning and capacity forecasting for cloud infrastructure management.
This document discusses implementing the right website monitoring strategy. It covers monitoring web servers like Apache, IIS, and Nginx to ensure performance and availability. It also discusses optimizing individual URLs, monitoring dynamic webpages through synthetic transactions, and detecting unauthorized changes to websites through content monitoring. The overall strategy aims to provide visibility, optimize user experience, and prevent hacks.
The document outlines modules for managing big data and non-relational database applications, detailing their scheduling, agenda, and key topics such as visibility, monitoring strategies, and performance analysis. It covers essential components of Hadoop and Spark, as well as issues related to disk and memory in NoSQL databases like MongoDB, Cassandra, and Redis. The document also emphasizes forecasting utilization trends and capacity planning, providing contact information for further inquiry and an online demo.
The document outlines a comprehensive application performance monitoring solution aimed at enhancing IT operations and DevOps visibility. It discusses critical components for monitoring, such as application response times, database performance, and user satisfaction metrics, while identifying common performance issues and providing insights for troubleshooting. Upcoming modules will cover a range of topics including website monitoring strategies, cloud application monitoring, and enhancements for PHP and Node.js applications.
This document summarizes a training session on fault management and IT automation using OpManager. It includes an agenda covering alarm severity levels, threshold violation alarms, alarms from event logs, SNMP traps, syslog alarms, and notifications. It also discusses using IT workflows to automate problem remediation.
This document outlines a training session on OpManager, focusing on monitoring network performance and hardware sensors. Key topics include setting up SNMP monitors, tracking WAN and VoIP performance, and creating custom dashboards and network maps. The session also covers user access restrictions, interface performance monitoring, and specific device metrics.
The document outlines a training session for OpManager, focusing on monitoring server performance, including availability, storage, website URLs, and processes. It covers performance metrics, health reports, and various monitoring capabilities for both physical and virtual environments. Additionally, it discusses script monitoring and configuration options for alerts and thresholds.
The document provides an overview of a training session on OpManager, detailing prerequisites for installation, challenges in device discovery, and important steps to streamline the process. It outlines various use cases, such as automating device addition through SNMP traps, discovering devices using router IPs, and integrating with ServiceNow. Additionally, it addresses common problems encountered during device discovery and offers solutions to ensure successful network scanning.
The document provides an overview of ManageEngine Oputils, a software designed for IP address and switch port management, enabling network engineers to efficiently monitor network infrastructure and detect rogue devices. It outlines key features such as bandwidth monitoring, configuration file management, and troubleshooting tools while addressing challenges faced by network professionals. Additionally, it highlights the importance of scheduled network scans and alert configurations for maintaining network security and operational efficiency.
The document provides insights into monitoring cloud applications within AWS, Azure, and Office 365, focusing on maximizing efficiency and diagnosing performance issues. It outlines the prerequisites for integrating these platforms with applications manager, highlights key performance metrics for AWS services, and details Azure monitoring capabilities as well as Office 365 performance metrics. Additionally, it emphasizes the importance of cloud analytics for effective resource planning.
The document discusses application performance management, analyzing slow queries, and measuring end user satisfaction. It outlines the architecture of application performance management tools and provides insights on optimizing application and database performance. Additionally, it emphasizes the importance of monitoring end user interactions to enhance web application efficiency.
Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical UniversesSaikat Basu
油
Embark on a cosmic journey exploring the intersection of quantum
computing, consciousness, and ancient wisdom. Together we'll uncover the
recursive patterns that bind our reality.
OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC
油
The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.
UserCon Belgium: Honey, VMware increased my billstijn40
油
VMwares pricing changes have forced organizations to rethink their datacenter cost management strategies. While FinOps is commonly associated with cloud environments, the FinOps Foundation has recently expanded its framework to include Scopesand Datacenter is now officially part of the equation. In this session, well map the FinOps Framework to a VMware-based datacenter, focusing on cost visibility, optimization, and automation. Youll learn how to track costs more effectively, rightsize workloads, optimize licensing, and drive efficiencyall without migrating to the cloud. Well also explore how to align IT teams, finance, and leadership around cost-aware decision-making for on-prem environments. If your VMware bill keeps increasing and you need a new approach to cost management, this session is for you!
Curietech AI in action - Accelerate MuleSoft developmentshyamraj55
油
CurieTech AI in Action Accelerate MuleSoft Development
Overview:
This presentation demonstrates how CurieTech AIs purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort
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Key Highlights:
Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration
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DataWeave automation: Generate mappings from tables or samples95%+ complete within minutes
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Integration flow generation: Auto-create Mule flows based on specificationsspeeds up boilerplate development
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Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling
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Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code
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Why Now?
Achieve 10 productivity gains, slashing development time from hours to minutes
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Maintain high accuracy with code quality matching or exceeding manual efforts
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Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency
Conclusion:
CurieTech AI transforms MuleSoft development into an AI-accelerated workflowletting you focus on innovation, not repetition.
AI VIDEO MAGAZINE - r/aivideo community newsletter Exclusive Tutorials: How to make an AI VIDEO from scratch, PLUS: How to make AI MUSIC, Hottest ai videos of 2025, Exclusive Interviews, New Tools, Previews, and MORE - JUNE 2025 ISSUE -
"Database isolation: how we deal with hundreds of direct connections to the d...Fwdays
油
What can go wrong if you allow each service to access the database directly? In a startup, this seems like a quick and easy solution, but as the system scales, problems appear that no one could have guessed.
In my talk, I'll share Solidgate's experience in transforming its architecture: from the chaos of direct connections to a service-based data access model. I will talk about the transition stages, bottlenecks, and how isolation affected infrastructure support. I will honestly show what worked and what didn't. In short, we will analyze the controversy of this talk.
OpenPOWER Foundation & Open-Source Core InnovationsIBM
油
penPOWER offers a fully open, royalty-free CPU architecture for custom chip design.
It enables both lightweight FPGA cores (like Microwatt) and high-performance processors (like POWER10).
Developers have full access to source code, specs, and tools for end-to-end chip creation.
It supports AI, HPC, cloud, and embedded workloads with proven performance.
Backed by a global community, it fosters innovation, education, and collaboration.
Delivering solutions to Azure may involve a variety of architecture patterns involving your applications, APIs data and associated Azure resources that comprise the solution. This session will use reference architectures to illustrate the security considerations to protect your Azure resources and data, how to achieve Zero Trust, and why it matters. Topics covered will include specific security recommendations for types Azure resources and related network security practices. The goal is to give you a breadth of understanding as to typical security requirements to meet compliance and security controls in an enterprise solution.
"Scaling in space and time with Temporal", Andriy Lupa.pdfFwdays
油
Design patterns like Event Sourcing and Event Streaming have long become standards for building real-time analytics systems. However, when the system load becomes nonlinear with fast and often unpredictable spikes, it's crucial to respond quickly in order not to lose real-time operating itself.
In this talk, Ill share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.
Quantum AI: Where Impossible Becomes ProbableSaikat Basu
油
Imagine combining the "brains" of Artificial Intelligence (AI) with the "super muscles" of Quantum Computing. That's Quantum AI!
It's a new field that uses the mind-bending rules of quantum physics to make AI even more powerful.
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante
油
We live in an ever evolving landscape for cyber threats creating security risk for your production systems. Mitigating these risks requires participation throughout all stages from development through production delivery - and by every role including architects, developers QA and DevOps engineers, product owners and leadership. No one is excused! This session will cover examples of common mistakes or missed opportunities that can lead to vulnerabilities in production - and ways to do better throughout the development lifecycle.