Logscape 2.5.1 is here!

All,

Release 2.5.1 includes enhancements to JMX functionality, improvements to Logscape roll detection aswell as significant search performance optimisation.

2.5.1 Introduces new linking functionality. This allows you to flawlessly link your workspaces and transfer context between them providing a troubleshooting workflow for non-expert users of the Logscape system.

The release notes are here.

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Logscape 2.5 is now live!

All,goinglong

Release 2.5 includes improvements to LDAP/Active Directory management, selective UI enhancements and performance improvements. IE11 compatability has also been improved along with minor bug fixes.

The release notes are here.

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Amazon EC2 Benchmarking for Logscape

Deploying Logscape in the cloud has its challenges. Logscape is a cpu and i/o intensive application and finding an optimal configuration between disk, i/o and cost requires extensive benchmarking and tests.

 

Methodology

Recently we started looking at Amazon.  We have now have three stages to our benchmarking.

cloud-benchmarking-methodology-2

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Collectd App Update !!!

In preparation for release Logscape as a SAAS solution, the Collectd App has been updated. The CollectdApp is one of the first apps to support Logcape Cloud.

  • write_graphite – This release now uses the graphite plugin to import collectd metrics.
  • Workspaces Update – the workspaces have all been updated

image

  • Zip – The app is now available as a zip. Whereas before it was distributed as a config file.

Monitoring Docker and a Mongodb Cluster: Part I

Selection_516

Docker has been around for roughly a year,  it was open-sourced by the guys at dotCloud ( the PAAS provider)  and has since caused a revolution in the devops community. It has the backing of industry heavy weights such as Google, Rackspace and Redhat . In this blog post, I will attempt to give an initial look at monitoring docker, with a specific focus on system health. The technology stack under Docker is a large topic so I will not be going into much detail on setting up a docker environment. Before we dig right in let’s find out a bit about docker.

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Realtime WebSocket streaming from the cloud to you: Part II

webSocket-AWS-Running

I’ve got the ‘green-light’ and an IP allocated.

In Part 1 I built a Groovy WebSocket
Server  and a Java and HTML Client. In Part 2 I’ll deploy it into AWS, fire up the Clients and add the Github link. With WebSocket Clients, I can run Logscape in the ‘wild’ and make use of the Alert-Feed WebSocket functionality to stream data to my local servers.

AWS Deployment: Before running on the AWS server I need to find the right AMI – one with Java installed. The OpenJDK is installed on most Linux flavours, and I prefer to work with Ubuntu. In the following grab you can see where I’ve fired up the AMI instance.

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Realtime WebSocket streaming from the cloud to you: Part I

This is a 2 part post where iwebSocketClientn Part 1 I build the ‘spike’ using Groovy to run a WebSocketServer to stream data to HTML5-WebSocket & JavaWebSocket Clients. The HTML Client uses the elegant smoothie charts (great for streaming). In Part 2 Ill show you how to run it on Amazons AWS.
At the end we have a real-time feed plotting the data from the cloud; it looks something like the grab on the right.