BigPanda Product

Posts that feature news about the platform & its features/functions (not the company).

Getting Started with BigPanda – The Incident Feed

By |2018-04-17T18:30:37+00:00May 4th, 2015|Blog|

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.

The new Alerts REST API from BigPanda

By |2018-09-14T23:13:46+00:00September 4th, 2014|Blog|

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:

Service Health Analytics: make better IT ops decisions faster

By |2018-04-17T18:59:04+00:00September 29th, 2015|Blog|

We’re proud to be unveiling a new concept we pioneered in the den that finally moves beyond dashboards as eye candy to a new place where IT analytics can be used to make better ops decisions. It’s called Service Health Analytics and it exposes all data from all monitoring sources in the form of configurable dashboards that can be customized, saved, and shared.

Until DevOps becomes NoOps, there’s Service Health Analytics

By |2018-04-17T18:23:51+00:00October 5th, 2015|Blog|

We’re adjusting to the new reality that DevOps is a compelling layover on the journey between legacy ops and self-healing infrastructure. Eliminating the cultural gap between developers and operations, the now-cliched state of IT nirvana called “DevOps”, is by no means the end goal. The goal is reliable system performance and availability without human intervention - the panacea called “NoOps”.

Hey Silicon Valley, you’re wrong about “Data Science” and “Machine Learning”

By |2018-04-17T18:59:14+00:00August 31st, 2015|Blog|

Tsunami detection. Crop dusting. Biohazard monitoring. What may sound like innuendos in the next EL James novel are also fields being revolutionized by quant jocks and smart algorithms. And yet, despite all the innovation, we technorati continue to bastardize the terms “data science”, “machine learning,” and “big data”. They’ve become lazy speak for “we’re not sure what we’re doing so we’ll hand wave cliches until we have real technology and a business model."

How to Use the 80/20 Rule to Turn Noisy Alerts into Actionable Intelligence

By |2018-04-17T18:23:40+00:00October 26th, 2015|Blog|

If you work in tech, you’ve probably heard of the Pareto principle, or, as it’s more commonly called, the 80/20 rule. According to the 80/20 rule, for many events, 80 percent of the results are generated by 20 percent of the inputs.

A little background: back in the late 1800s the Italian economist Vilfredo Pareto noticed that approximately 80 percent of the land in Italy was owned by 20 percent of the population. Not long after, Pareto also observed that 20 percent of the peapods in his garden generated 80 of the crop’s yield – and thus the 80/20 principle was born. 

Part 1 of 2: The reason why Nagios is so noisy – and what you can do about it

By |2018-04-17T18:23:04+00:00December 1st, 2015|Blog|

If you’re struggling with a flood of Nagios alerts, this two-part blog series is for you. We’ll take a close look at the complicated relationship that IT and Ops professionals have with the monitoring tool, explain why Nagios is so noisy, and discuss the simple way that you take charge of your alerts and maximize the way Nagios works for you.

How alert correlation helps Dev and Ops work better together

By |2018-04-17T18:44:50+00:00April 28th, 2016|Blog|

This post was recently published as a guest blog by our friends at Jira Service Desk. You can find the original post here.

We all need to move fast in order to stay competitive. But the faster things move, the faster things break.

While many companies have made great strides towards automating application release and infrastructure management, automation for service assurance has been sorely lacking. That’s left Dev and Ops with a problem: how to effectively service alerts that have grown by orders of magnitude.