copperegg

http://copperegg.com/what-do-a-t1-micro-and-a-m1-xlarge-have-in-common-you-might-be-surprised/

http://copperegg.com/benchmarking-aws-instances/

http://copperegg.com/infographic-aws-instance-benchmark/

http://copperegg.com/anatomy-of-application-deployment-datacenter-virtualized-datacenter-and-iaas/

http://copperegg.com/infographic-cloud-monitoring-details/

http://copperegg.com/infographic-choosing-ec2-instances/

A look at AWS EC2 instances in terms of honey badgers vs. blue whales vs. unicorns vs. sloths. Only ones missing were the Mantis Shrimp (we tried) and the Megladon (hey it's Shark Week)

http://copperegg.com/tomcat-monitoring-metrics-and-samples/

An in process JMX metrics exporter, inspired by the standalone version of jmxtrans but embedded inside your java process (e.g. Tomcat). Also includes a set of embedded jmxtrans samples to POST metrics to the CopperEgg API and Custom Metrics. Github links and blog.

http://copperegg.com/amazon-cloudfront-cdn/

How to get started with AWS CloudFront based on our lessons learned. Describes the important fields you will need to fill in or adjust and what you can probably leave as default.

http://copperegg.com/whats-a-good-alternative-to-nagios/

Many devops and admins have used, and in some cases continue to use, Nagios as a key part of their cloud monitoring infrastructure. We’ve had many conversations about their Nagios use cases, likes, dislikes, and the relative Nagios strengths and weaknesses. There seems to be a distinct trend in what actual Nagios users think makes a good replacement and alternative to Nagios.

http://copperegg.com/5-critical-2013-trends-driving-the-3rd-platform-for-it-management/

Many pundits and analysts have declared the concept of cloud computing as the Third Platform (for IT). If you have critical projects in mobility, cloud services, social technologies, or Big Data, it’s time to make that same transition in your management tools.

http://copperegg.com/postgresql-monitoring/

Pre-built scripts allow you to monitor PostgreSQL metrics and include these popular metrics out of the box: Index rows fetched, Commits, Locks, Rollbacks, and Blocks hit. Monitor via SaaS, great for AWS, cloud deployments.

http://copperegg.com/copperegg-hipchat-integration/

From Harvest: "...We have a room in Hipchat which collects the pulse of our activities. This includes code pushes to Github, production and staging deployment activity, customer support tickets, twitter mentions and all our monitoring probes from our internal monitoring services post into this room too. It’s very useful for us that Copperegg is able to post into this room as well and join our...

http://copperegg.com/visualizing-complex-applications-simply/

Using hierarchical edge bundling to build cloud system topology maps that visualize system connectivity and application communication.

http://copperegg.com/top-5-redis-performance-metrics-to-watch/

Five critical Redis database performance metrics to monitor closely and build alerts around - e.g., instantaneous_ops_per_sec which tracks total operations/sec; so you can watch for dips and spikes that are not normal flow.

http://copperegg.com/chef-integration-with-copperegg-simple-smart-seamless-part-4/

CopperEgg recently introduced its probe LWRP, which is included in the CopperEgg cookbook. This provider allows you to instantly add, update and remove any number of external website monitoring probes on any chef run.

http://copperegg.com/chef-integration-with-copperegg-simple-smart-seamless-part-2/

This blog shows how you can use Chef to bootstrap an EC2 Windows server instance for CopperEgg server monitoring.

http://copperegg.com/infographic-copperegg-and-chef/

Infographic on how to integrate Chef with CopperEgg cloud monitoring for your Linux or Windows servers, plus website monitoring and custom app metrics

http://copperegg.com/chef-integration-with-copperegg-simple-smart-seamless/

Chef cookbook overview and example on how to bootstrap a Centos EC2 instance with CopperEgg server monitoring

http://copperegg.com/new-copperegg-cloud-sizing-tool-helps-enterprises-choose-the-perfect-amazon-ec2-instance/

http://copperegg.com/aws-auto-scaling-and-copperegg-cloud-monitoring/

http://copperegg.com/copperegg-cloud-service-monitoring-enables-unmatched-hybrid-visibility-and-fine-grained-forensics/

New heatmaps, custom cloud monitoring dashboards, and iPhone, iPad, and Android mobile apps announced. Designed for hybrid monitoring across clouds, enterprise+cloud, and inside the enterprise as well. Custom dashboards aggregate application performance metrics with server monitoring and website performance for service-level views.

http://copperegg.com/hooking-into-the-aws-shutdown-flow/

When you are autoscaling lots of spot instances, or kill off systems during a code deploy, you don’t care if the system goes away, because that is what you intended to happen. Normally when spots or on-demand instances terminate by either a ec2kill command, price-terminated or killed by the ELB/Auto-Scaler, they receive a poweroff command sent by the hypervisor. This blog describes how we tell...

http://copperegg.com/amazon-provisioned-iops-ebs/

Amazon has a few storage options (we’re talking block storage here, not object stores like S3): Instance store, EBS (Elastic Block Storage), and now Provisioned IOPS EBS. This blog post explores each one and then drills down more deeply into PIOPS.

http://copperegg.com/dynamodb-the-good-the-bad-and-the-awsome/

Overview of recent Amazon AWS DynamoDB analysis for production use at CopperEgg - details out use cases for & against, performance, operational considerations, what's missing, and what's cool.

http://copperegg.com/copperegg-launches-restful-api-for-monitoring-automation-and-orchestration/

RESTful API that provides open programmatic access for automating and orchestrating server monitoring, website uptime analysis, and cloud infrastructure management - integrated with CopperEgg SaaS service. The CopperEgg API enables software-defined monitoring through integrations with automation tools such as Chef and Puppet plus user scripts or 3rd party management systems.

http://copperegg.com/new-cloud-capacity-planning-tool-server-filesystem-analytics-utility/

Just posted on GitHub, a free cloud capacity planning utility tool for public and private cloud server filesystems to be used in conjunction with CopperEgg RevealCloud (as a free add-on) and built on the CopperEgg API, the tool extracts, analyzes, and reports on historical server filesystem usage data collected from Linux systems (e.g., Ubuntu, CentOS, RedHat, Gentoo), Windows servers, MacOS...

http://copperegg.com/ec2-instance-types-pricing/

Analysis and a link to an EC2 instance cheatsheet (e.g., cg1.4xlarge, t1.micro, c1.xlarge, cc2.8xlarge) with perf & cost details including cheapest cost per CPU, worst CPU steal, most expensive cost per GB memory, and the cheapest cost per CPU system.

http://copperegg.com/aws-cost-allocation-tips-and-tricks/

Step-by-step guide to setting up and using Amazon's new AWS cost allocation feature.

http://copperegg.com/ive-looked-at-clouds-from-both-sides-now/

http://copperegg.com/why-free-website-monitoring-is-good-but-not-good-enough/