Application Architecture

The post Application Architecture appeared first on Blogs ROELBOB humor managing microservices microservices monolithic applications parody satire software development tech humor

Application Monitoring Using Stagemonitor

This article covers important steps to monitor a typical Java application using Stagemonitor tool, Kibana as a dashboard viewing tool and Elasticsearch as a data processing engine. Stagemonitor is an open source Java application performance monitoring (APM) tool that provides everything you need in development, quality assurance and production to monitor the performance of your […]. The post Application Monitoring Using Stagemonitor appeared first on

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Applications of Array

The Crazy Programmer

In this article, we are going to go through the application of an important data structure of any programming language. Applications of Array. The post Applications of Array appeared first on The Crazy Programmer.

How a Real-Time Chat Application Works

The Crazy Programmer

The most significant feature of the chat application is their ability to relay information immediately the information is sent. Modern versions of many chat applications can support voice and video calls, text messages, emotion icons, among other types of messages.

The Essential Guide to Building Analytic Applications

Embedding dashboards, reports, and analytics in an existing application presents some unique opportunities—and poses unique challenges—to software teams. Download this eBook to hear 16 product experts share insights on business intelligence, UI/UX, security, and everything that goes into building a successful application with analytics at its core.

Book Review: Designing Data-Intensive Applications

Henrik Warne

What a great book Designing Data-Intensive Applications is! In a document model, joins are shifted from the database to the application. This frees the application developer from having to handle a lot of different potential problems: that the connectivity to the database is lost, that the database or application crashes before all data is written, that several clients may be overwriting each other’s data etc. Checks need to work end-to-end from the application.

3 application security fundamentals every developer should know


Academic researchers and developers don't often intersect, but researchers presenting at the recent USENIX Security conference presented some interesting findings that hold lessons for application programmers and development teams. Security, Application SecurityArray

Sentry Adds Application Performance Monitoring to Platform

Previously, the Sentry platform only identified errors in applications. The post Sentry Adds Application Performance Monitoring to Platform appeared first on Application Performance Management/Monitoring Blogs application performance monitoring applications devopsSentry has extended the reach of its agentless monitoring platform to now track performance issues in addition to surfacing errors in code.

Tricentis Extends Testing Reach to ServiceNow Applications

Tricentis has extended the reach of its portfolio of testing tools to now include software-as-a-service (SaaS) applications from ServiceNow. The post Tricentis Extends Testing Reach to ServiceNow Applications appeared first on

Eggplant Injects AI Into Application Testing

The post Eggplant Injects AI Into Application Testing appeared first on AI Blogs application development application testing artificial intelligence devops machine learning user experienceEggplant has infused its automated testing platform with deep learning algorithms that automatically identify and classify user interface (UI) elements such as buttons and text fields across any platform and then generate all the automation assets needed to instantly run a test.

6 Steps to Improving Your Application’s Analytics Experience

No one designs bad dashboards and reports on purpose. So why do so many applications have terrible analytics experiences? Download this ebook for secrets to creating dashboards and reports your users will love.

How to Modernize Mainframe Applications

The post How to Modernize Mainframe Applications appeared first on Application Performance Management/Monitoring Blogs DevOps Practice application modernization infrastructure modernization legacy apps modernizing mainframe applications

Why Legacy Application Development is a Challenge

Enterprises seeking to modernize their legacy mainframe applications often cite the key reason as not being able to evolve quickly enough to support the changing needs of the business. This is also a driving force behind the increasing trend toward moving these legacy applications onto other platforms, either by attempting to rewrite or re-platform them. […]. The post Why Legacy Application Development is a Challenge appeared first on

Predictions 2020: Application Trends, Opportunities and Challenges

The post Predictions 2020: Application Trends, Opportunities and Challenges appeared first on Without wheeling out all the usual clichés, 2019 has been another whirlwind of disruptive innovation and opportunity–with plenty of challenges to tackle and circumvent along the way.

GPT-3 Artificial Intelligence Model for Mobile Applications


GPT-3 is also seeing a major future in mobile application development as well. . The backend technologies can also be enhanced with GPT-3 to fuel mobile applications to get high performance. How can GPT-3 Revolutionize AI Mobile Applications? GPT-3.

Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. How do you as a technology leader point your team in the right direction, especially given how quickly this is evolving?

Developing Applications From a Single Codebase – The Future of Application Development


One product, one codebase, is becoming the slogan of the current mobile application development scenario. With all the companies focusing on the single codebase, the rise in demand for mobile application development frameworks is observed. of the application.

Microservices vs Monolithic Application


Monolithic Application In a monolithic application, all modules are developed in a single code base. In a monolithic application, if we bring changes in any one of the modules then we need to redeploy the entire application with all modules.

Speaking the Language of Applications

The post Speaking the Language of Applications appeared first on Application Performance Management/Monitoring Blogs DevOps in the Cloud DevOps Practice Enterprise DevOps application automation applications Configuration Management immutable infrastructure infrastructure as code infrastructure automationI arrived early to a meeting, and the pleasant security guard at AT&T suggested I take a look at their innovation museum while I wait.

Kubernetes Troubleshooting: 7 Essential Steps for Delivering Reliable Applications


In this post we’ll take a pragmatic approach to the realm of Kubernetes-based applications and go over a list of steps to help ensure reliability throughout the pipeline. Because even though ensuring application quality today is two times as difficult as it was in the past, there are also twice as many ways for us to improve it. Challenges such as: Managing the transition from a monolithic application to microservices.

Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity. However, this increased velocity often comes at the cost of overall application performance or reliability. Worse, teams often don’t understand what’s affecting performance or reliability – or even who to ask to learn more. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then. By the end of this presentation, you’ll understand why distributed tracing is necessary and how it can bring performance and reliability back under control.

Creating a Serverless Environment for Testing Your Apache Kafka Applications


If you are taking your first steps with Apache Kafka®, looking at a test environment for your client application, or building a Kafka demo, there are two “easy button” paths […]. Application CLI Connector Datagen Kafka Cluster Serverless Testing Confluent Cloud

OpenLegacy, Boomi Simplify Legacy Application Integration

OpenLegacy, a provider of a platform through which application programming interfaces (APIs) are layered on top of legacy application processes, announced today an alliance with Boomi, an arm of Dell Technologies that provides organizations with access to an integration platform-as-service (iPaaS) that is made available as a cloud service. The post OpenLegacy, Boomi Simplify Legacy Application Integration appeared first on

RunSafe Allies With JFrog to Secure Applications

Alkemist employs a combination of runtime application self-protection (RASP) and moving target defense (MTD) methods to neutralize memory corruption exploits such involving, for example, a memory overflow. The post RunSafe Allies With JFrog to Secure Applications appeared first on Blogs DevSecOps application security DevOps workflows devsecops

F5 Networks Surfaces Application Insights

F5 Networks, at its Agility 2020 online event today, unfurled Beacon, a software-as-a-service (SaaS) platform that enables IT teams to better monitor and troubleshoot applications using telemetry data collected from networking equipment from both F5 and third-party sources. In addition, the company announced an update to NGINX Controller that enhances application analytics along with improvements […].

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Democratizing AI through your organization requires more than just software. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.

Application Infrastructure

James Shore

This week, it's isolating and testing application infrastructure. Application infrastructure is all the external systems your application interacts with: networks and services; file systems and databases; and global state such as the computer's clock and your application’s process. We need to isolate application from our infrastructure decisions and we need to make sure our infrastructure is tested. 13 May 2020. James Shore/Blog/Lunch-and-Learn.

How Do Applications Run on Kubernetes?

The New Stack

Its purpose is to expose compute, networking and storage resources to applications. The worker nodes run applications. Workloads are Containerized Applications. A set of containers belonging to the same application is grouped, packaged, deployed and managed within Kubernetes.

Vercel Makes Front End Applications Faster

Vercel this week extended its effort to redefine how front-end applications are developed to reduce dependencies on backend systems. The company has created Next.js, which makes it possible to build web applications using a framework based on the React library for creating user interfaces that enable both static generation (SSG) and server-side rendering (SSR). The post Vercel Makes Front End Applications Faster appeared first on

What Are AWS Application Patterns?

The post What Are AWS Application Patterns? Blogs DevOps in the Cloud DevOps Practice DevOps Toolbox DevSecOps Doin' DevOps AWS AWS Application Patterns cloud-native cloud-native apps data management devsecops shift right shift-left approachThe cloud-native approach is not just about compute power and cloud services. A “set it and forget it” attitude won’t work with cloud native; there are far too many moving pieces and there is just way too much complexity.

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4 Approaches to Data Analytics for Your Application

Selecting the right solution for your embedded analytics is crucial to the success of your application. But with so many solutions and vendors, how do you make this critical selection? Learn about the different approaches to analytics and the pros and cons for each.

Continuous integration for Svelte applications


Once the installation is complete, run the following command to boot up a server to serve the application in development mode: npm run dev. This will serve the application at [link] ( 5000 is the default port.

Achieving Application Health Through Integrated APM

Performance and availability mean everything to application users at both the enterprise and consumer level. The post Achieving Application Health Through Integrated APM appeared first on Application Performance Management/Monitoring Blogs DevOps Practice Doin' DevOps Enterprise DevOps apm app development application availability application performance integrated APM solution

Error'd: Not Applicable

The Daily WTF

"Why yes, I have always pictured myself as not applicable," Olivia T. BuildMaster allows you to create a self-service release management platform that allows different teams to manage their applications. wrote. . "Hey "Hey Amazon, now I'm no doctor, but you may need to reconsider your 'Choice' of Acetaminophen as a 'stool softener'," writes Peter. . Ivan K.

Application Performance Management for DataOps

Over the years, application performance management (APM) tools have been utilized typically to measure and monitor the performance of software such as web applications. The post Application Performance Management for DataOps appeared first on Sponsored Content UnRavel apm APM tools application performance management big data DataOps

The Rise of Embedded Self-Service Analytics

Speaker: Chris Von Simson & Nat Venkataraman

Can your users get the data and analytics they need without leaving your application? Watch this webinar with Chris von Simson of Dresner Advisory Services as he shares why user enablement has emerged as the theme in today’s embedded analytics landscape.