Posts about integrations, interoperability, SaaS, AWS, scalability, etc.
For those of you who are not familiar with Jenkins, it's a dead simple open sourced Continuous Integration solution, which takes absolutely no time to set up. Jenkins has a vibrant ecosystem and community, and until recently, Jenkins only had 999 plugins available...
Data center growth over the last 15 years has created significant growing pains in terms of data center management. Tasks that once could be done manually by IT teams have hit the limits of scalability, cost, and efficiency. The key to enabling IT to meet these challenges involves one key theme: automation.
Last week was an exciting week. BigPanda announced $7 Million in funding from Sequoia Capital and Mayfield. We are super excited that these two firms share our vision for changing the way that IT and DevOps teams manage and respond to the thousands of IT issues they face every day. Last week, we also launched our offering into general availability. Check out some of the highlights from last week’s coverage on BigPanda from TechCrunch, GigaOm, Computerworld, 451 Research and more.
BigPanda is an incident management platform for IT, NOC, and DevOps teams. Organize, prioritize and triage your incidents faster and more intelligently than ever before. Vastly improve your team's collaboration around Ops alerts and events. The following guide is the first in our series on getting started with BigPanda's incident feed. This BigPanda product introduction will help you to get up and running quickly so you can get back to fixing the world's broken stuff.
CONNECT ALL THE THINGS! Here at BigPanda we are constantly working on adding new monitoring systems to our arsenal of out-of-the-box integrations. We already provide integration with all of the most popular monitoring systems & services. Nagios, Zabbix, Zenoss, New Relic, AppDyamics, CloudWatch, Pingdom are all there. And there's many more – this list gets longer with every week that passes. These out-of-the-box integrations from BigPanda have many advantages:
ITSM is evolving thanks to new capabilities that make it easy to visualize service health based on real-time CMDB updates fed via automated change management driven by smarter monitoring infrastructure. We’re nearing a time where machines will manage machines. At BigPanda, we’re doing our part to get there quickly.
We’re more dependent than ever on cloud infrastructure. At work. At home. At play. But what happens when the cloud fails? Ask the more than 75 million Netflix subscribers or more than 100,000 companies that rely on Salesforce.com. They’ll tell you cloud failures are costly and painful.
Cloud-based apps and services must be available all the time… and yet they aren’t. DevOps and NOC teams responsible for maintaining their health must resolve issues immediately… and yet they can’t. On this MonitoringScape Live episode hear from the experts why cloud monitoring is critical, why it’s hard, and what organizations are doing to help all of us live cloudier, better lives.
Salesforce likely lost quite a bit of money last Tuesday. IDC estimates that the typical infrastructure failure costs organizations $100,000 per hour, while a critical application failure costs as much as $500,000 to $1 million per hour. Salesforce was down for over 20 hours and still continued to have service disruptions. This in turn translated to heavy financial loss for Salesforce customers worldwide, as they struggled to manage their lifeblood processes that depend on the SaaS giant. The Salesforce reputation struggled and the CEO, Marc Benioff, meted out public apologies on social channels.
Decompressing from an exhausting, inspirational few days at Knowledge16, the annual ServiceNow event...
From humble beginnings (my first Knowledge was a few hundred attendees in a tent in San Diego), Knowledge has become a global tour de force. This year, Mandalay Bay could barely contain more than 11,000 customers and partners (and the expo hall could barely contain more than 100 decibels of the tech equivalent of Queensryche). Getting into the keynote felt like rush hour on the subway in midtown Manhattan.