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Cloud Follow 32 Followers

Microsoft Adds Application Insights Support for Azure Functions

by Kent Weare Follow 4 Followers on  Apr 08, 2017

Microsoft recently announced an initial preview of Application Insights support for Azure Functions. As a result of this integration between the two services, developers now get built-in instrumentation for their code and a portal to view trends in their code’s performance. Developers are also able to set monitoring thresholds which can be used to create alerts or a callout to external webhooks.

DevOps Follow 94 Followers

Logz.io Offers Machine Learning Based Log Analysis

by Hrishikesh Barua Follow 1 Followers on  Nov 15, 2016

Logz.io offers a hosted service which performs intelligent log analysis by using machine learning to derive insights from human interactions with log data that includes discussions on tech forums and public code repositories.

Architecture & Design Follow 267 Followers

Five Ways to Not Mess Up Microservices in Production

by Mark Little Follow 2 Followers on  Jun 19, 2016

Alex Zhitnitsky of Takipi has written about five ways to try to improve the chances of successful deployed of microservices into production. As we will see, they share many similarities with other independent efforts, perhaps leading us to agreement on top areas of concern, if not ways of solving these problems.

Culture & Methods Follow 68 Followers

How to Effectively Debug Software

by Ben Linders Follow 5 Followers on  Jun 09, 2016 1

InfoQ interviewed Diomidis Spinellis, author of the books Code Reading and Code Quality, about finding and fixing errors in software, principles for debugging software and how to improve the effectiveness of debugging, how to write code that requires less debugging, and what managers can do to support error prevention and handling.

Java Follow 116 Followers

Log4j 2.6 Goes Garbage-Free

by Abraham Marín Pérez  Followers on  May 30, 2016 5

Log4j, the popular logging library for Java, will include a number of configuration options that allows it to run in a completely garbage-free manner. The release follows previous attempts to improve the performance of logging libraries, and has been positively received by the industry. Further changes to increase the number of scenarios in which log4j can run garbage-free are expected.

DevOps Follow 94 Followers

DevOps Days Kiel Day 2

by Manuel Pais Follow 5 Followers on  May 19, 2016

Round up of the talks at DevOps Days Kiel's second day.

Big Data Follow 16 Followers

DistributedLog at Twitter for High Performance Logging

by Alex Giamas Follow 0 Followers on  Oct 20, 2015

Twitter is using replicated logs for high performance data collection and analysis of its systems. DistributedLog is the system developed at Twitter for this purpose. Twitter has developed a distributed key-value database, Manhattan. Manhattan can trade consistency for latency in reads following the eventually consistent data model. We examine Twitter's design and tradeoffs for DistributedLog.

Java Follow 116 Followers

The Transition to a New Log4j: a Q&A with Log4j’s Project Management Committee

by Abraham Marín Pérez  Followers on  Sep 08, 2015

As recently published in InfoQ, the Apache Software Foundation announced the end of life of version 1 of Log4j, encouraging users to upgrade to version 2 of the popular logging framework. InfoQ reached out to the members of the Apache Logging Services Team to find out more about the transition to the new version of Log4j and about its future.

Java Follow 116 Followers

Log4j Version 1 Reaches End of Life

by Abraham Marín Pérez  Followers on  Aug 26, 2015 1

Apache has announced the EOL of version 1 of Log4j. Although Log4j version 2 was released in July 2014, version 1 was maintained until early August 2015. The new version is a full rewrite of the logging library, addressing many of the issues of version 1 and achieving unprecedented performance. Apache has made an effort to ease the upgrade, although advanced users may need some migration work.

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Newest NLog Improves Exception Logging, Adds JSON/Zip support

by Jeff Martin Follow 4 Followers on  Jun 18, 2015

NLog 4.0 has been released, and it brings improved exception logging, adds conditional logging, and support for JSON and Zip archives.

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Amazon CloudWatch Supports JSON Logs and Integrates AWS CloudTrail

by Steffen Opel Follow 0 Followers on  Feb 12, 2015

Shortly after releasing the AWS CloudTrail Processing Library (CPL), Amazon Web Services has also integrated AWS CloudTrail with Amazon CloudWatch Logs to enable alarms and respective "notifications from CloudWatch, triggered by specific API activity captured by CloudTrail". The implied support for monitoring JSON-formatted logs has recently been officially released as well.

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Amazon EC2 Gains Two-Minute Warning for Spot Instance Termination

by Steffen Opel Follow 0 Followers on  Jan 31, 2015

Amazon EC2 recently gained two-minute warnings before Spot Instances are reclaimed, a feature "formally known as a Spot Instance Termination Notice". The goal is to "allow more types of applications to benefit from the scale and low price of Spot Instances" by giving them time to save state, upload log files, or deregister from other components such as load balancers or cluster managers.

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AWS Releases CloudTrail Processing Library

by Steffen Opel Follow 0 Followers on  Nov 15, 2014

Amazon Web Services (AWS) recently released the AWS CloudTrail Processing Library (CPL), a "Java client library that makes it easy to build an application that reads and processes CloudTrail log files in a fault tolerant and highly scalable manner".

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Amazon CloudWatch Gains Log Monitoring and Storage

by Steffen Opel Follow 0 Followers on  Oct 31, 2014

Amazon CloudWatch recently gained log file monitoring and storage for application, operating system and custom logs and meanwhile enhanced support for Microsoft Windows Server to cover a wider variety of log sources.

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Reactive Extensions, Async, and Splunk

by Jonathan Allen Follow 6 Followers on  Oct 12, 2014

The 2.0 version of the Splunk C# SDK is heavily invested in modern C# features. Every major operation from login-onwards is available via asynchronous methods. And for most advanced uses such as sampling, Reactive Extensions come into play.

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