Any post about analytics, using metrics to improve IT performance, increasing transparency across channels, etc.
BigPanda is proud to announce the launch our of newest feature: Unified Search. We know what you might be thinking: “What makes Unified Search so special?” Well BigPanda’s latest offering is so much more than a standard search function.
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.
Whether we practice more traditional operations processes with a 24x7 NOC and well-documented processes, or we’re embracing DevOps-styles with cross-functional teams and highly iterative methodologies, one problem we all face is the growing disconnect between our monitoring systems, the alerts they fire off, and the processes we’re using to handle operational issues. We log incidents in a ticket, but are the folks working on that ticket aware of the real-time status of the underlying incident?
Earlier this month at BigPanda we released our new Sharing feature, which allows NOC teams to quickly share active and critical incidents with the right teams and subject-matter experts. BigPanda already helps NOC teams today by giving them instant visibility into incoming related alerts so that they don’t have to sift through dozens of emails and web pages with every outage or disruption. They can also attach playbooks and timeseries graphs directly to BigPanda, which means no more navigating around, combing through bookmarks, trying to find the right wiki page for that memory issue, or the right Graphite link for that misbehaving database host.
We're excited to announce the release of a major new feature in BigPanda called Sharing! As you know BigPanda intelligently clusters your noisy alerts into high-level incidents. With our new Sharing feature, it's now easy to notify and collaborate with anyone on your team about critical incidents.
BigPanda is an incident management platform for modern IT, Ops, and DevOps teams. With BigPanda, you will prioritize and route your incidents better and faster, while vastly improving your team's collaboration and processes. This is part 2 in a series on Getting Started with BigPanda. This guide will help you get up and running quickly and maximize the value you get out of the platform.
We engineers love measuring stuff. Whether it helps us solve an immediate problem, gets us ready for a bad day or just because most of us are information junkies, we love keeping track of metrics. The spectrum of what can be measured is very wide. It can include data from every part of our system: from technical metrics such as disk space or RPM, through UI metrics like page load times, to business KPIs such as revenue, conversion rates and so on. When choosing which metrics to collect, we usually start with the obvious ones: those that reflect the current state of the system (e.g., CPU, memory and load). There are quite a few articles and blog posts about these metrics, so I’m not going to discuss that here. Rather, I would like to focus on metrics that reflect the user experience.
Here are the four metrics that we at BigPanda see as the most important in this category:
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.
It’s well known in IT operations that things don't break on their own. Close to 80% of production outages occur because of changes made by developers or someone in IT. However, this fact often eludes us when it comes to actually resolving production issues.