This document describes an application performance monitoring software that provides end-to-end visibility of heterogeneous IT environments with a single console. It monitors over 100 applications and databases out of the box and supports alerting, reporting, automation and troubleshooting capabilities. Customers across various industries have deployed this software to ensure business uptime, gain performance insights, and manage their infrastructure with a unified monitoring solution.
Rpa automation anywhere training in hyderabadRajitha D
NBITS Offers RPA Automation Anywhere Training in Hyderabad to acquire working knowledge skills on various Robotics Tools like Automation Anywhere, Open Span, Ui Path and Blue Prism.At the same time NBITS provides online and classroom training with real time experts and also provides job assistance.
The document compares the monolithic and microservices application approaches. It notes that the microservices approach separates functionality into independent services that can each be scaled independently, while the monolithic approach has all functionality within a single process. It also discusses how microservices use various technologies and databases, while monolithics typically use a single database.
Microsoft Azure and Windows Application monitoringSite24x7
Monitor all your Microsoft applications and Azure services from a single console.
About Site24x7:
Site24x7 offers unified cloud monitoring for DevOps and IT operations. Monitor the experience of real users accessing websites and applications from desktop and mobile devices. In-depth monitoring capabilities enable DevOps teams to monitor and troubleshoot applications, servers and network infrastructure including private and public clouds. End user experience monitoring is done from 50+ locations across the world and various wireless carriers. For more information on Site24x7, please visit http://www.site24x7.com/.
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Learn SAP HANA Administration Training. NBITS provides best Sap HANA Admin Training with real time scenarios for India, USA, USE, Canada, Malaysia, and Bangalore. It can provide online and classroom training by real time industrial expert faculty.
An introduction to the reference architectures content from the Microsoft patterns & practices team.
This covers common IaaS (infrastructure) and PaaS (managed services) scenarios.
http://aka.ms/architecture
Be sure to read the notes!
The Jelastic Cluster Admin Panel allows administrators to manage infrastructure, billing, users and environments, configurations, and the marketplace. It provides controls for regions and availability zones, hardware node management, IP management, workload statistics, and Zabbix monitoring. Billing features include tariff management and usage monitoring. Users, groups, and environments can be configured and managed. Server templates, access permissions, and email templates are configurable. The marketplace facilitates one-click installation of apps and add-ons.
Tokyo Azure Meetup #5 - Microservices and Azure Service FabricTokyo Azure Meetup
Azure Service Fabric is now Generally Available!
In this meetup we will start from the beginning and define what is microservice.
Next we will have a deep dive in Azure Service Fabric. Azure Service Fabric is one of the most interesting Azure service. Used internally in Microsoft for 5 years and backing up one of the most demanding Azure services today such as Azure SQL, Document DB, Cortana and Skype for Business.
We will be talking about the two models that are supported by Azure Service Fabric:
- Reliable Services (We will explore the reasons for having both stateful and stateless offerings in this model)
- Reliable Actors
Then we will talk how you can create Azure Service Fabric cluster on premise or in another cloud.
We will demo deployments in Azure for the various models.
Azure Service Fabric is the most advanced and complete offering for developing and hosting microservices in Azure. It builds on years experience Microsoft acquired running one of the most demanding services such as Azure SQL. Moreover, Azure Service Fabric solves very difficult distributed computing problems such as data synchronization, zero downtime deployment, update and rollback operations at large scale.
Join us to learn more about Azure Service Fabric and start using it immediately after the meetup!
This document discusses designing a product for deployment on Windows Azure cloud platform. It outlines key cloud computing concepts like IaaS, PaaS and SaaS. It then analyzes the goals and technical challenges of an existing product and proposes a new architectural design using Azure PaaS components like web and worker roles, service bus, caching, databases to address issues of scalability, extensibility and portability.
2011.05.31 super mondays-servicebus-demodaveingham
Presentation by David Ingham demonstrating the messaging features (queues, topics) of Windows Azure AppFabric Service Bus. Given at SuperMondays, Gateshead, UK on May 31, 2011.
The document discusses maintaining non-stop services through multi-layered monitoring. It recommends monitoring each process, component and application separately as well as collectively to proactively identify and address problems. A multi-layered approach including monitoring services, applications, operating systems and infrastructure helps correlate information and troubleshoot issues. Visual dashboards can aggregate and display monitoring data across these layers to provide a unified view of system health and performance.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
This document provides an overview of a presentation on building better SQL Server databases. The presentation covers how SQL Server stores and retrieves data by looking under the hood at tables, data pages, and the process of requesting data. It then discusses best practices for database design such as using the right data types, avoiding page splits, and tips for writing efficient T-SQL code. The presentation aims to teach attendees how to design databases for optimal performance and scalability.
Kaseya Connect 2012 - WHAT'S NEW IN KASEYA 6.3Kaseya
Join us for this informative session as we highlight the key new features and improvements of Kaseya version 6.3. You'll see first hand how this exciting new release can benefit your organization including new network discovery, custom reporting, notification bar and much more.
Presented by: Mark Sutherland, President & Mike Sheffey, EVP Product Management
Service Management Automation (SMA) from zero to heroMichael Rüefli
An introduction on the architecture, deployment and best practice deploying SMA to automate clouds and datacenters. How to install is covered too as well as basics on Powershell workflows.
Hello All,
Let's meet and discuss what are the new announcements from Build 2016 and how we can best leverage them in our business!
Here are some of the topics we will cover this time:
- Azure Functions
- Service Fabric
- Azure Storage
- Document DB
- Azure Container Services
- Power BI Embedded
- ASP.NET Core
- Virtual Machine Scale Sets
I will be happy to share my experience from the conference, especially the session I visited and also the conversations I had with various Microsoft representatives.
Azure is developing faster than ever and Microsoft is driving the platform in very interesting direction that require us to know and work with more and more new technologies!
Come and join us to learn more about Azure!
I am arranging the venue but my plan for the meetup is to be on April 25-th or April 27-th from 19:30. I will keep you updated on that!
Thank you!
Kanio
The document discusses serverless computing with Azure Functions. It provides an overview of serverless computing and how infrastructure is abstracted and resources are managed by cloud providers. Azure Functions are introduced as an event-driven and serverless platform for developing code. Triggers and bindings in Azure Functions define how functions are invoked and interact with inputs and outputs. Security, proxies, performance considerations and demos of Azure Functions are also summarized.
This document provides an overview of AJAX (Asynchronous JavaScript and XML). It defines AJAX as a group of interrelated web development techniques used to create interactive web applications. AJAX allows web pages to be updated asynchronously by exchanging small amounts of data with the server without reloading the entire page. The document discusses the technologies involved in AJAX including HTML/XHTML, CSS, DOM, XML, XMLHttpRequest, and JavaScript. It also covers how AJAX works, provides an example, and discusses the advantages and disadvantages of using AJAX.
Explore the components of a simple web app and then see how Applications Manager helps you discover and map relationships between your apps and take a look at the wide range of business critical metrics monitored for every app/ server in your network. We will also explore how to logically group your apps so as to achieve maximum productivity from your IT department.
Everyone has written an API of some sort whether they know it or not. Many people might snap in a quick end point or two into their website that returns JSON or XML to support some simple front end validation or dynamic interactions. This is a loose API for the most part and if it solves the problem – great. Other folks might stand up a whole solution that is dedicated to supporting some disconnected clients like ios apps, android apps, or full blown SPA style javascript apps.
This second style of API is usually versioned separate from the consumers of it. And is most likely deploying at a different cadence from the client apps that are dependent on it. Also, when writing a rich API there are generally many concerns that one must take into account such as authentication and authorization, versioning of the contract between the client and the API, rate throttling, caching, etc. And if you are deploying API’s as different domains for a product suite, or as granular microservices, then you also need a way to uniformly present a consolidated API to the world. Analytics and reporting usually come into play as well.
For each of these concerns you could easily write some code (likely an extensive amount of it) to solve the problem. However, I find that letting my API worry about the business problem that it is trying to solve, and nothing else, makes iterating on my applications much less painful. For that reason I have turned to using infrastructure and 3rd party apps to solve many of these problems – with little to no code!
In this post we will take a look at proxys and gateways and some of the features that they expose to you. In future posts we will dig a little deeper into each of them and do more of an in depth comparison.
This document summarizes an AWS User Group Italy meeting presentation about AWS Lambda.
AWS Lambda allows writing code to automatically run in response to events, allowing building applications from small functions that are triggered by changes to data in AWS services. It provides an easy way to run code without having to manage infrastructure. Lambda functions can be triggered by events in services like S3, DynamoDB, and Kinesis. With Lambda, the focus is on writing business logic rather than managing servers. Lambda automatically scales as needed to handle event loads, and customers pay only for the compute time used rather than having to pay for unused capacity. A preview of Lambda is open for people to try it out with support for S3, Kinesis and Dynam
The document discusses serverless applications on AWS. It describes how traditional monolithic architectures have evolved to use microservices and serverless computing. It provides examples of how to build applications using AWS services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon S3 without having to manage servers. These services allow building scalable, fault tolerant applications that are cost effective and focus on solving business problems rather than infrastructure. The document concludes with a recommendation to try out serverless AWS services and provides next steps to get started.
The document discusses serverless architecture and function as a service (FaaS). It notes that serverless allows developers to deploy code as independent functions that are triggered by events and only charge when functions run, scaling automatically. Functions have no disk access and are stateless, running in ephemeral containers. Serverless fits well for static websites, data stream analysis, file processing, and actions users directly pay for on demand. The document outlines Amazon's serverless ecosystem and provides an example architecture and use cases. It also discusses benefits like lower costs and easier scaling but notes potential drawbacks around vendor lock-in and cold starts.
ManageEngine Applications Manager is a robust application performance monitoring (APM) tool designed to provide IT administrators, DevOps teams, and business leaders with deep insights into the health and performance of applications, servers, databases, and other IT infrastructure components. It ensures high availability, reduces downtime, and optimizes resource usage to deliver seamless user experiences and meet business objectives.
Applications Manager is part of the ManageEngine suite of IT operations management tools, offering a centralized platform to monitor complex IT environments. It supports on-premise, cloud, hybrid, and containerized environments, making it a versatile choice for businesses of all sizes.
Key Capabilities
Comprehensive Monitoring: Tracks the health, availability, and performance of applications, databases, servers, and cloud platforms.
Application Performance: Monitors response times, throughput, error rates, and transactions for web and application servers like Java, .NET, Apache Tomcat, and more.
Database Insights: Provides in-depth analysis of databases, including Oracle, MySQL, PostgreSQL, MongoDB, and SQL Server, to optimize query performance and ensure high availability.
Server Monitoring: Tracks metrics like CPU usage, memory utilization, and disk activity across Windows, Linux, Unix, and virtualized environments.
Cloud & Virtualization: Supports AWS, Azure, Google Cloud, VMware, Docker, and Kubernetes to monitor modern IT architectures effectively.
Features
Real-Time Monitoring: Delivers live metrics for instant insights into the performance and health of monitored resources.
Synthetic Transactions: Simulates user interactions to test application performance proactively.
Customizable Dashboards: Offers dynamic dashboards to visualize KPIs and performance trends.
Automated Alerts: Sends notifications via email, SMS, and third-party integrations like Slack and PagerDuty when thresholds are breached.
Integrations: Seamlessly integrates with tools like ServiceDesk Plus, OpManager, and ITOM solutions for unified IT management.
Why Choose Applications Manager?
With its intuitive interface, robust alerting capabilities, and flexible deployment options, Applications Manager empowers organizations to reduce downtime, enhance operational efficiency, and deliver superior user experiences. Whether you’re managing on-premise, cloud, or hybrid environments, Applications Manager simplifies the complexity of IT monitoring.
Visit ManageEngine Applications Manager's website (https://www.manageengine.com/products/applications_manager/?slideshare) to learn more or start a free trial(https://www.manageengine.com/products/applications_manager/download.html?slideshare).
Getting Started with AWS Lambda and Serverless ComputingKristana Kane
This document provides an overview of AWS Lambda and serverless computing. It discusses AWS compute offerings like EC2, ECS, and Lambda. Lambda allows running code in response to events without provisioning or managing servers. Benefits include automatic scaling, pay per use, and built-in availability. Common use cases for Lambda include web applications, backends, data processing, chatbots, and IT automation. Best practices for Lambda include limiting function size, parameterizing code, and using versions and aliases. The document also provides examples of serverless applications and architectures using Lambda along with other AWS services.
2016-06 - Design your api management strategy - AWS - Microservices on AWSSmartWave
Morning session started with a presentation on working with a micro-services API gateway in hybrid architectures, by Jean-Pierre LeGoaller, Architect at AWS. We learned how to greatly reduce coding efforts, make applications far more efficient, and decrease errors all at the same time, using small and flexible Micro-services with an API Gateway. Jean-Pierre then illustrated the benefits of AWS lambda function to run seamlessly codes as a service in AWS high-availability compute infrastructure.
Fiddler is a free web debugging proxy that monitors and manipulates HTTP/HTTPS traffic between a computer and the Internet. It can inspect traffic, set breakpoints, and modify requests and responses. Fiddler functions as a reverse proxy by capturing and reconstructing messages passing through it. This allows developers to debug web applications, analyze performance issues, and test servers. It supports common protocols and can debug services running as Windows services. Fiddler is extensible through scripting and has use cases for traffic inspection, performance analysis, debugging, and testing.
Learn how Site24x7 gives you end-to-end application performance visibility for your Java, .NET and Ruby web transactions with metrics of all components starting from URLs to SQL queries.
Tokyo Azure Meetup #5 - Microservices and Azure Service FabricTokyo Azure Meetup
Azure Service Fabric is now Generally Available!
In this meetup we will start from the beginning and define what is microservice.
Next we will have a deep dive in Azure Service Fabric. Azure Service Fabric is one of the most interesting Azure service. Used internally in Microsoft for 5 years and backing up one of the most demanding Azure services today such as Azure SQL, Document DB, Cortana and Skype for Business.
We will be talking about the two models that are supported by Azure Service Fabric:
- Reliable Services (We will explore the reasons for having both stateful and stateless offerings in this model)
- Reliable Actors
Then we will talk how you can create Azure Service Fabric cluster on premise or in another cloud.
We will demo deployments in Azure for the various models.
Azure Service Fabric is the most advanced and complete offering for developing and hosting microservices in Azure. It builds on years experience Microsoft acquired running one of the most demanding services such as Azure SQL. Moreover, Azure Service Fabric solves very difficult distributed computing problems such as data synchronization, zero downtime deployment, update and rollback operations at large scale.
Join us to learn more about Azure Service Fabric and start using it immediately after the meetup!
This document discusses designing a product for deployment on Windows Azure cloud platform. It outlines key cloud computing concepts like IaaS, PaaS and SaaS. It then analyzes the goals and technical challenges of an existing product and proposes a new architectural design using Azure PaaS components like web and worker roles, service bus, caching, databases to address issues of scalability, extensibility and portability.
2011.05.31 super mondays-servicebus-demodaveingham
Presentation by David Ingham demonstrating the messaging features (queues, topics) of Windows Azure AppFabric Service Bus. Given at SuperMondays, Gateshead, UK on May 31, 2011.
The document discusses maintaining non-stop services through multi-layered monitoring. It recommends monitoring each process, component and application separately as well as collectively to proactively identify and address problems. A multi-layered approach including monitoring services, applications, operating systems and infrastructure helps correlate information and troubleshoot issues. Visual dashboards can aggregate and display monitoring data across these layers to provide a unified view of system health and performance.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
This document provides an overview of a presentation on building better SQL Server databases. The presentation covers how SQL Server stores and retrieves data by looking under the hood at tables, data pages, and the process of requesting data. It then discusses best practices for database design such as using the right data types, avoiding page splits, and tips for writing efficient T-SQL code. The presentation aims to teach attendees how to design databases for optimal performance and scalability.
Kaseya Connect 2012 - WHAT'S NEW IN KASEYA 6.3Kaseya
Join us for this informative session as we highlight the key new features and improvements of Kaseya version 6.3. You'll see first hand how this exciting new release can benefit your organization including new network discovery, custom reporting, notification bar and much more.
Presented by: Mark Sutherland, President & Mike Sheffey, EVP Product Management
Service Management Automation (SMA) from zero to heroMichael Rüefli
An introduction on the architecture, deployment and best practice deploying SMA to automate clouds and datacenters. How to install is covered too as well as basics on Powershell workflows.
Hello All,
Let's meet and discuss what are the new announcements from Build 2016 and how we can best leverage them in our business!
Here are some of the topics we will cover this time:
- Azure Functions
- Service Fabric
- Azure Storage
- Document DB
- Azure Container Services
- Power BI Embedded
- ASP.NET Core
- Virtual Machine Scale Sets
I will be happy to share my experience from the conference, especially the session I visited and also the conversations I had with various Microsoft representatives.
Azure is developing faster than ever and Microsoft is driving the platform in very interesting direction that require us to know and work with more and more new technologies!
Come and join us to learn more about Azure!
I am arranging the venue but my plan for the meetup is to be on April 25-th or April 27-th from 19:30. I will keep you updated on that!
Thank you!
Kanio
The document discusses serverless computing with Azure Functions. It provides an overview of serverless computing and how infrastructure is abstracted and resources are managed by cloud providers. Azure Functions are introduced as an event-driven and serverless platform for developing code. Triggers and bindings in Azure Functions define how functions are invoked and interact with inputs and outputs. Security, proxies, performance considerations and demos of Azure Functions are also summarized.
This document provides an overview of AJAX (Asynchronous JavaScript and XML). It defines AJAX as a group of interrelated web development techniques used to create interactive web applications. AJAX allows web pages to be updated asynchronously by exchanging small amounts of data with the server without reloading the entire page. The document discusses the technologies involved in AJAX including HTML/XHTML, CSS, DOM, XML, XMLHttpRequest, and JavaScript. It also covers how AJAX works, provides an example, and discusses the advantages and disadvantages of using AJAX.
Explore the components of a simple web app and then see how Applications Manager helps you discover and map relationships between your apps and take a look at the wide range of business critical metrics monitored for every app/ server in your network. We will also explore how to logically group your apps so as to achieve maximum productivity from your IT department.
Everyone has written an API of some sort whether they know it or not. Many people might snap in a quick end point or two into their website that returns JSON or XML to support some simple front end validation or dynamic interactions. This is a loose API for the most part and if it solves the problem – great. Other folks might stand up a whole solution that is dedicated to supporting some disconnected clients like ios apps, android apps, or full blown SPA style javascript apps.
This second style of API is usually versioned separate from the consumers of it. And is most likely deploying at a different cadence from the client apps that are dependent on it. Also, when writing a rich API there are generally many concerns that one must take into account such as authentication and authorization, versioning of the contract between the client and the API, rate throttling, caching, etc. And if you are deploying API’s as different domains for a product suite, or as granular microservices, then you also need a way to uniformly present a consolidated API to the world. Analytics and reporting usually come into play as well.
For each of these concerns you could easily write some code (likely an extensive amount of it) to solve the problem. However, I find that letting my API worry about the business problem that it is trying to solve, and nothing else, makes iterating on my applications much less painful. For that reason I have turned to using infrastructure and 3rd party apps to solve many of these problems – with little to no code!
In this post we will take a look at proxys and gateways and some of the features that they expose to you. In future posts we will dig a little deeper into each of them and do more of an in depth comparison.
This document summarizes an AWS User Group Italy meeting presentation about AWS Lambda.
AWS Lambda allows writing code to automatically run in response to events, allowing building applications from small functions that are triggered by changes to data in AWS services. It provides an easy way to run code without having to manage infrastructure. Lambda functions can be triggered by events in services like S3, DynamoDB, and Kinesis. With Lambda, the focus is on writing business logic rather than managing servers. Lambda automatically scales as needed to handle event loads, and customers pay only for the compute time used rather than having to pay for unused capacity. A preview of Lambda is open for people to try it out with support for S3, Kinesis and Dynam
The document discusses serverless applications on AWS. It describes how traditional monolithic architectures have evolved to use microservices and serverless computing. It provides examples of how to build applications using AWS services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon S3 without having to manage servers. These services allow building scalable, fault tolerant applications that are cost effective and focus on solving business problems rather than infrastructure. The document concludes with a recommendation to try out serverless AWS services and provides next steps to get started.
The document discusses serverless architecture and function as a service (FaaS). It notes that serverless allows developers to deploy code as independent functions that are triggered by events and only charge when functions run, scaling automatically. Functions have no disk access and are stateless, running in ephemeral containers. Serverless fits well for static websites, data stream analysis, file processing, and actions users directly pay for on demand. The document outlines Amazon's serverless ecosystem and provides an example architecture and use cases. It also discusses benefits like lower costs and easier scaling but notes potential drawbacks around vendor lock-in and cold starts.
ManageEngine Applications Manager is a robust application performance monitoring (APM) tool designed to provide IT administrators, DevOps teams, and business leaders with deep insights into the health and performance of applications, servers, databases, and other IT infrastructure components. It ensures high availability, reduces downtime, and optimizes resource usage to deliver seamless user experiences and meet business objectives.
Applications Manager is part of the ManageEngine suite of IT operations management tools, offering a centralized platform to monitor complex IT environments. It supports on-premise, cloud, hybrid, and containerized environments, making it a versatile choice for businesses of all sizes.
Key Capabilities
Comprehensive Monitoring: Tracks the health, availability, and performance of applications, databases, servers, and cloud platforms.
Application Performance: Monitors response times, throughput, error rates, and transactions for web and application servers like Java, .NET, Apache Tomcat, and more.
Database Insights: Provides in-depth analysis of databases, including Oracle, MySQL, PostgreSQL, MongoDB, and SQL Server, to optimize query performance and ensure high availability.
Server Monitoring: Tracks metrics like CPU usage, memory utilization, and disk activity across Windows, Linux, Unix, and virtualized environments.
Cloud & Virtualization: Supports AWS, Azure, Google Cloud, VMware, Docker, and Kubernetes to monitor modern IT architectures effectively.
Features
Real-Time Monitoring: Delivers live metrics for instant insights into the performance and health of monitored resources.
Synthetic Transactions: Simulates user interactions to test application performance proactively.
Customizable Dashboards: Offers dynamic dashboards to visualize KPIs and performance trends.
Automated Alerts: Sends notifications via email, SMS, and third-party integrations like Slack and PagerDuty when thresholds are breached.
Integrations: Seamlessly integrates with tools like ServiceDesk Plus, OpManager, and ITOM solutions for unified IT management.
Why Choose Applications Manager?
With its intuitive interface, robust alerting capabilities, and flexible deployment options, Applications Manager empowers organizations to reduce downtime, enhance operational efficiency, and deliver superior user experiences. Whether you’re managing on-premise, cloud, or hybrid environments, Applications Manager simplifies the complexity of IT monitoring.
Visit ManageEngine Applications Manager's website (https://www.manageengine.com/products/applications_manager/?slideshare) to learn more or start a free trial(https://www.manageengine.com/products/applications_manager/download.html?slideshare).
Getting Started with AWS Lambda and Serverless ComputingKristana Kane
This document provides an overview of AWS Lambda and serverless computing. It discusses AWS compute offerings like EC2, ECS, and Lambda. Lambda allows running code in response to events without provisioning or managing servers. Benefits include automatic scaling, pay per use, and built-in availability. Common use cases for Lambda include web applications, backends, data processing, chatbots, and IT automation. Best practices for Lambda include limiting function size, parameterizing code, and using versions and aliases. The document also provides examples of serverless applications and architectures using Lambda along with other AWS services.
2016-06 - Design your api management strategy - AWS - Microservices on AWSSmartWave
Morning session started with a presentation on working with a micro-services API gateway in hybrid architectures, by Jean-Pierre LeGoaller, Architect at AWS. We learned how to greatly reduce coding efforts, make applications far more efficient, and decrease errors all at the same time, using small and flexible Micro-services with an API Gateway. Jean-Pierre then illustrated the benefits of AWS lambda function to run seamlessly codes as a service in AWS high-availability compute infrastructure.
Fiddler is a free web debugging proxy that monitors and manipulates HTTP/HTTPS traffic between a computer and the Internet. It can inspect traffic, set breakpoints, and modify requests and responses. Fiddler functions as a reverse proxy by capturing and reconstructing messages passing through it. This allows developers to debug web applications, analyze performance issues, and test servers. It supports common protocols and can debug services running as Windows services. Fiddler is extensible through scripting and has use cases for traffic inspection, performance analysis, debugging, and testing.
Learn how Site24x7 gives you end-to-end application performance visibility for your Java, .NET and Ruby web transactions with metrics of all components starting from URLs to SQL queries.
Stephen Liedig: Building Serverless Backends with AWS Lambda and API GatewaySteve Androulakis
Stephen Liedig (Amazon Web Services) is a Public Sector Solutions Architect at AWS working closely with local and state governments, educational institutions, and non-profit organisations across Australia and New Zealand to design, and deliver, highly secure, scalable, reliable and fault-tolerant architectures in the AWS Cloud while sharing best practices and current trends, with a specific focus on DevOps, messaging, and serverless technologies.
“Microservices” have become a trendy development strategy. Hosting and running such services used to be pretty painful... but here comes Service Fabric! Let’s take a closer look at this platform, its different development models and all the features it offers, and not only for microservices!
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.
This document provides an overview and agenda for an AWS workshop. It introduces the presenter and covers various AWS services including compute (EC2, Lambda), storage (S3, EBS), databases (RDS), and serverless architecture. It also discusses AWS tooling, billing, security, and monitoring. The document concludes by pointing attendees to example labs they can complete to get hands-on experience with AWS.
The document discusses Microsoft System Center 2012 R2 and its components for managing IT infrastructure and automating processes. It provides an overview of System Center capabilities for data center and client automation. Key components described include System Center Configuration Manager for device management, Operations Manager for monitoring, Virtual Machine Manager for hypervisor management, and Service Manager for IT service management. The document demonstrates System Center's unified management capabilities and how customers can get started or advance their use of System Center.
This document discusses agile server and data infrastructure. It covers several topics including: Portworx for Kubernetes storage, Cisco's industrial IoT platform, ServiceNow as an ITSM leader, experience with logging, monitoring, availability, and more. It emphasizes automating tasks to eliminate toil, implementing monitoring, facilitating fast releases with automation and ensuring happy customers and teams.
Panda provides a cloud-based testing platform for Latitude's advanced patient management system. It includes services, APIs, and a web application to automate testing tasks like generating messages between business systems, registering devices, and validating enrollment data. Panda uses a multi-tenant architecture allowing it to efficiently support thousands of test environments across multiple releases simultaneously. It simplifies testing and improves efficiency by automating common tasks, ensuring compliance with interface requirements, and reducing maintenance costs compared to previous solutions.
The document discusses 3 key ways that developing software for the cloud differs from traditional approaches:
1. Incremental delivery, with frequent small releases of new features rather than large periodic releases.
2. Increased automation, including automated testing and continuous integration/deployment pipelines to support more agile development and deployment.
3. Analytics of usage data to inform product decisions and ensure features are valuable to users. Developing with the cloud in mind requires rethinking processes to focus on agility, automation and data-driven insights.
Azure service fabric for building micro service based applications. Comparison of monolythic application with cloud based micro service application, hosting over cloud containers like docker
Explore the revolutionary shift towards serverless computing and how it is transforming backend development. Learn about its benefits, challenges, use cases, and the leading platforms that enable developers to build scalable, cost-efficient applications without managing infrastructure.
Serverless computing is an emerging cloud computing model where the cloud provider manages resources and scales applications automatically in response to demand. With serverless, developers focus on writing code for independent, stateless functions rather than worrying about servers. Serverless platforms support automatic scaling, pay-per-use pricing, and event-driven computing using functions as the basic unit. While serverless offers benefits like reduced costs and management overhead, it also presents drawbacks like vendor lock-in and lack of debugging access.
This document provides an overview of serverless computing without code (Lambda). It introduces CloudHesive as a professional services company and describes their services including assessment, strategy, migration, implementation, support, DevOps, security, and managed services. The agenda outlines topics on serverless, APIs, event buses, data stores, operational considerations, and adoption approaches. References are provided for the AWS Well Architected Framework and serverless application lens as well as examples for API Gateway, AppSync, Lambda, and Step Functions.
A high-level overview of LogicMonitor; the leading SaaS-based hybrid infrastructure performance monitoring solution on the market, changing the way enterprise organisations monitor dynamic, multi-cloud environments. Giving you hosted monitoring for your entire stack - servers, networks, containers, storage, applications, virtualisation, and cloud - from a single pane of glass. No dedicated servers required!
If you want to talk AIOps, automation, and where our industry is going please hit me up with a message. I want to learn about you guys and what technology means for you!
Code first in the cloud: going serverless with AzureJeremy Likness
The popularity of microservices combined with the emergence of serverless based solutions has transformed how modern developers tackle cloud native apps. Microsoft's Azure cloud provides a feature known as serverless functions (including Azure Functions and Logic Apps) that enable developers to stand up integrated end points leveraging the programming language of their choice without having to worry about the supporting infrastructure. Learn how to develop serverless .NET apps and connect them with queues, web requests, and databases or seamlessly integrate with third-party APIs like Twitter and Slack.
Learn how analyzing key website metrics that are related to user interactions will help you make insightful improvements. Understand how replaying individual customer transactions and analyzing every element of your webpage will help drill down to the root causes issues and create better content strategies respectively.
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.
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
Learn how to track key operational metrics of your Node.js and PHP infrastructure in real-time and get insight into the nuances of autonomous databases.
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.
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.
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.
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
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Motion Graphics:
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After Effects is powerful for creating animated titles, transitions, and other visual elements to enhance the look of videos and presentations.
Visual Effects:
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Video Compositing:
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Animation:
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Integration with Adobe Creative Cloud:
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After Effects is part of the Adobe Creative Cloud, a suite of software that includes other popular applications like Photoshop and Premiere Pro.
Post-Production Tool:
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After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
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Vector-Based Design:
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Brushes and Effects:
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Integration with Other Adobe Software:
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Why Use Illustrator?
Professional-Grade Features:
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Versatility:
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Creative Freedom:
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Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
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How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
16. Application server side analytics
• Server side problems need server side monitoring
• Deep dive metrics – from URL to SQL
• Transaction profiling
• Track database operations
Agent-based monitoring
30. When to use synthetic monitoring
• Measure multi-page workflows (e-commerce, gaming, online
banking, etc.)
• Test your web applications prior to launch
• During periods of low traffic or off hours
• Simulate user distribution from multiple locations
Real Browser Monitoring
56. Available in two editions
Editions
Professional
• For SMBs
• Integrated performance
monitoring for a
heterogeneous set of
apps
• Up to 250 apps
Enterprise
• For large enterprises
• All features of Professional +
failover, distributed architecture
& high scalability.
• Scales to 10,000 apps
61. Other points to note
• Integrates with ME OpManager (network monitoring),
ServiceDesk Plus (IT helpdesk), and Site24x7 (SaaS-based
APM).
• REST APIs to integrate with portals
• User management options
Takeaways
68. Summary
• End-to-end visibility with an integrated monitoring approach.
• Visualize application dependencies with dynamic dependency mapping.
• Detect issues faster with advanced troubleshooting techniques.
• Easy to deploy. No training or consultation required.
• Flexible and extensible.
Takeaways