Websites using log analytics as a keyword

by Michael Urspringer

Tips, tricks and hacks for Azure Log Analytics and App Insights

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log4jwebtracker - Java web tool to setup at runtime the log level of Log4j appenders in an application, and read the log at runtime.

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Coralogix is a machine learning powered log analytics platform which drastically improves the delivery and maintenance process for software providers

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In June 2017 Elastic joined forces with Opbeat an application performance monitoring (APM) company. Read the official blog post here: Welcome Opbeat to the Elastic Family. Adding APM (Application Performance Monitoring) to the Elastic Stack is a natural next step in providing our users with end-to-end monitoring, from logging, to server-level metrics, to application-level metrics, all the way to the end-user experience in the browser or client. Elastic APM consists of three components: Agents: libraries that run inside of your application process and automatically measure the duration of requests to your service and things like database queries, cache calls, external http requests and errors The APM server (written in Golang) that processes data from agents and stores the data in Elasticsearch Kibana UI: dashboards that gives you an instant overview of application response times, requests per minutes, error occurrences and more. The APM server and the agents (right now available only for Python and NodeJS) are open source: elastic/apm-server elastic/apm-agent-python elastic/apm-agent-nodejs Read more about it here: Starting Down the Path of APM for the Elastic Stack In this post we are not going to see how to install the APM server, you can find the instructions here: Open Source Application Performance Monitoring. Once the APM Server is installed and started we can monitor the performance of our application. In this example we will see a Python Flask application. Install the Python APM library: Initialize the client: Within the Flask route you can log some messages: or exceptions: Here is how the monitoring looks like in Kibana: You can see the details of each request by clicking on it: I really like the APM feature fully integrated with the Elastic Stack. I will integrate it within my Flask/Django applications. If you want to read more about the new APM feature: APM Overview If you want to read more about this topic: Application Performance Monitoring with Elasticsearch 6.1, Kibana and Skedler Alerts.

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W3Perl is a free logfile analyzer for web, ftp, squid, cups and mail server

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For Photoshop CC 2015. Video: http://youtu.be/6k2ERzOH1cY. Zeick - Photoshop CC and CC 2014 plugin allows you export vector shape layers to SVG files. Who need. Web designers. UI designers. Why do you need it: Small size. Resizable (yap it's vector). How it works. 1. Select layers. 2. Click to Zeick Export button. all selected layers will be cropped and exported to separated SVG files. Features: Vector shape layers. Group of shapes. Multiple layers export. Shape Color. Shape Gradient (beta). Shape Stroke (beta). Color overlay (beta). Gradient overlay (beta). Tips: 1. If you need to export several groups i recommend you to use Command (Mac) or Ctrl (PC) button instead of Shift because of Photoshop bug (if you use Shift button Photoshop adds to selection all layers inside groups) or after selection with Shift just expand and close one of selected groups this action (http://cl.ly/SnKX) will fix groups selection. 2. We recommend you to use less layer effects because this feature in beta now and sometime it works good, sometimes not. 3. Before exporting text layers we recommend you convert it to shapes. 4. Currently we don't support clipping mask so you will need to use path operation to simulate this effect. 5. Create your fonts from SVG files here http://icomoon.io/app/. Photoshop CC 2015. [email protected]

Big Data Analytics platform helps transform complex machine log data into powerful Analytics and helps build state-of-the-art products to increase revenues

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