Posts that report on market/industry news, usually with our perspective.
Is your team ready for 2017? Featuring early release findings from BigPanda’s forthcoming State of Monitoring Report, our latest e-book takes a look at how key industry trends will affect IT operations in the upcoming year.
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.
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.
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:
Anomaly detection for monitoring has been a trending topic in recent years. And while the math behind it is fascinating, too much of the discussion has revolved around histograms, moving averages and standard deviations. More discussion needs to happen around its practical applications, and for that reason, this practical guide to anomaly detection will attempt to provide an actionable overview of current off-the-shelf anomaly detection tools.
Rishi is too humble to be the CIO of a Fortune 100 bank, too busy to be the father of four, too accomplished to blog about ice cream, and too educated to love John Gray. Mostly, he's too unpredictable to fit stereotypes and too passionate about everything he does to do anything at less than full throttle.
I met Rishi this week at the Pacific Crest Global Technology Leadership Forum in Vail where he was presenting and I was lucky to be in the audience. We spent an hour together before his talk that inspired me to rescue Nepalese orphans... and eat more ice cream.
Rishi's been an IT leader since before we called it that. He has helped organizations grow and shrink and grow again. He's more scared about the state of IT today than he has ever been.
Here are excerpts from the discussion...
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.
It was a whirlwind couple of days, but FutureStack15 is in the books! I’m sure I speak for most of the BigPanda team when I say that a weekend of rest was welcomed after the long (but exciting!) days at the show. Between demos, conversations with clients and prospects, and even a surprise visit from Weird Al – there was hardly a moment of downtime. But in our world, who likes downtime? (Excuse the terrible pun).
In case you missed it, here’s a recap of some of the key themes discussed at the show: