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Java Application Performance Monitoring: End-to-end performance of complex distributed applications

Discover faster, more efficient performance monitoring with an enterprise APM product learning from your apps. Take the AppDynamics APM Guided Tour! Monitor Java application performance — focused on business transactions — end-to-end in the most complex and distributed environments. Auto-discovered business transactions, dynamic baselining, code-level diagnostics, and Virtual War Room collaboration ensure rapid issue identification and resolution to maintain an ...

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Top 20 Online Programming Courses to Boost your Career

Do you want to know what is the best investment you can make with your time and money? Knowledge As a software developer you should be constantly acquiring new skills. This is the best way to advance your career and enjoy the rewards (monetary, emotional etc.). Towards that direction you should be reading books, devouring technical articles and staying informed ...

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Scala client for Amazon Glacier

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Amazon Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup. Glacier offers a cold storage data archival solution meaning the stored data is not available for immediate retrieval. You need to first request retrieval of the data and access time can vary from minutes to several hours, depending on the service level ...

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Kubernetes 1.8: Using Cronjobs to take Neo4j backups

With the release of Kubernetes 1.8 Cronjobs have graduated to beta, which means we can now more easily run Neo4j backup jobs against Kubernetes clusters. Before we learn how to write a Cronjob let’s first create a local Kubernetes cluster and deploy Neo4j. Spinup Kubernetes & Helm minikube start --memory 8192 helm init && kubectl rollout status -w deployment/tiller-deploy --namespace=kube-system ...

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Kubernetes: Copy a dataset to a StatefulSet’s PersistentVolume

Neo4j Clusters on Kubernetes This posts assumes that we’re familiar with deploying Neo4j on Kubernetes. I wrote an article on the Neo4j blog explaining this in more detail. The StatefulSet we create for our core servers require persistent storage, achieved via the PersistentVolumeClaim (PVC) primitive. A Neo4j cluster containing 3 core servers would have the following PVCs: $ kubectl get ...

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How to Deploy Spring Application Without web.xml to Tomcat

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Introduction Since the Servlet 3 specification web.xml is no longer needed for configuring your web application and has been replaced by using annotations. In this article, we will look at how to deploy a simple Spring-based application without web.xml to Tomcat 8.5.*. Creating an Empty Application Use the following command to create an empty web application using maven webapp archetype: ...

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Minimize Java Memory Usage with the Right Garbage Collector

Size matters when it comes to software. It has become clear that using small pieces within the microservice architecture delivers more advantages compared to the big monolith approach. The recent Java release of Jigsaw helps decompose legacy applications or build new cloud-native apps from scratch. This approach reduces disk space, build time and startup time. However, it doesn’t help enough ...

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Building a Restful API interface using Android Things

Building a Restful API interface using Android Things is useful whenever we have to connect Android Things to an external system. This article explains how to build a Restful API interface using Android Things so that other apps or applications can invoke this API. There are several scenarios, where Android Things has to be integrated with external systems and it ...

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Building a Simple Neural Network With Eclipse Deeplearning4j

Introduction to Neural Networks Deep learning encompasses both deep neural networks and deep reinforcement learning, which are subsets of machine learning, which itself is a subset of artifical intelligence. Broadly speaking, deep neural networks perform machine perception that extracts important features from raw data and makes some sort of prediction about each observation. Examples include identifying objects represented in images, ...

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