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Improving Service Availability - 37 Matches

ITOM Industry Update, Oct. 2017

ITOM Industry Update, Oct. 2017

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How to Edit Alert Correlation Patterns in BigPanda

How to Edit Alert Correlation Patterns in BigPanda

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What is Algorithmic Alert Correlation?

What is Algorithmic Alert Correlation?

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Modernizing IT Operations Study Stresses Importance of Automation to Reduce Costs

Modernizing IT Operations Study Stresses Importance of Automation to Reduce Costs

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Product News: Usability for Modern IT Operations

Product News: Usability for Modern IT Operations

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Velocity NYC: It’s time for take-off

Velocity NYC: It’s time for take-off

Velocity NYC kicks off this week – and our team is in the Big Apple to conduct demos, answer all your burning questions, and yes, hand out some of our cute panda swag. If past events are anything to go by, our adorable panda tees have proven to be quite a hit, so be sure to stop by booth 501 bright and early to get yours! While you’re there, say hello to the friendly panda crew – and check out all the latest and greatest from our powerful alert correlation platform, including:

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Not all alert correlation platforms are created equal

Not all alert correlation platforms are created equal

Ask yourself these questions to find the right fit in an alert correlation platform.

To maintain operational visibility in modern IT environments, companies are abandoning monolithic monitoring solutions from legacy vendors in favor of a modern set of “best of breed” monitoring tools. Today’s average IT monitoring stack consists of about 6-8 tools, including at least one from each of the following categories: systems monitoring, end user monitoring, application performance monitoring (APM), error detection, log analytics, chat, and ticketing. When service disruptions occur, operations engineers face a flood of alerts across different layers of the IT stack, with no fast way to figure out what’s really going on. Customers are left stranded, while IT professionals struggle to detect, triage and remediate urgent issues. Downtime abounds which negatively impacts revenue, performance, and brand loyalty.

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How alert correlation helps Dev and Ops work better together

How alert correlation helps Dev and Ops work better together

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.

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Sam Kendall’s noisy alert problem

Sam Kendall’s noisy alert problem

Sam’s a father of two boys living in the bucolic LA suburb of West Covina. He’s a family first guy who paints model military cargo planes for fun, makes award-winning paella, hates his commute, and loathes his phone between the hours of midnight and 4:00 AM.

Sam was a kid when he joined News Corp as a help desk analyst in 2000. More than 15 years later and he’s now Sr. Director of IT managing a growing team of 30 NOC engineers, sys admins, and DBAs. Over the years, he has received more promotions than Trump on his own Twitter feed by delivering results and never wavering from two core beliefs that influence everything he does:

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Part 2 of 2: How to add intelligence to Nagios through alert correlation

Part 2 of 2: How to add intelligence to Nagios through alert correlation

For many IT and Ops teams, Nagios is both a blessing and a curse. On the one hand, Nagios gives you near real-time visibility into the inner workings of your IT infrastructure. But on the other hand, Nagios can generate so many alerts that it’s impossible for any single person (or even any team) to keep up.

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

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

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.

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15 hours of down time… avoided: part two of a two-part series

15 hours of down time… avoided: part two of a two-part series

This is part two of a two-part post about using event correlation to thwart DDoS attacks. Channeling Mark Twain: it would have been shorter if I had more time. In the last post I described why DDoS attacks for SaaS providers are no different than performance and availability issues experienced in other domains like healthcare, finance, or retail. In this post I’ll share a customer story about a security breach that never happened… thanks to a savvy DevOps team and data science.

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Why DDoS attacks aren’t just a security problem… and monitoring traffic isn’t the solution – Part One

Why DDoS attacks aren’t just a security problem… and monitoring traffic isn’t the solution – Part One

Every company’s a target, every customer’s at risk. But the now-cliched threat of data breaches from Distributed Denial of Service (DDoS) attacks obscures a bigger threat: outages that impact not just data integrity but also profitability, brand equity, and customer retention. 

The volume of attacks is growing and so is the impact of down time. According to Akamai’s most recent State of the Internet report, DDoS attacks are a bigger threat than ever before. “The number of DDoS attacks continued to increase substantially in Q2 2015, more than doubling the number observed in Q2 2014.”

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BigPanda Raises $16 Million To Expand Data Science Platform To Tackle Data Explosion in IT

BigPanda Raises $16 Million To Expand Data Science Platform To Tackle Data Explosion in IT

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

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

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."

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Librato + BigPanda: why cloud monitoring architects are weeping tears of joy

Librato + BigPanda: why cloud monitoring architects are weeping tears of joy

Today we announced an integration with the excellent cloud monitoring system Librato which was recently acquired by SolarWinds. We’ve enjoyed working with the Librato team to bring the product to market and now are eagerly awaiting feedback from the loud and proud community of BigPanda+Librato users.

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BigPanda Now Integrated with Librato Platform

BigPanda Now Integrated with Librato Platform

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#Monitoringlove in Portland

#Monitoringlove in Portland

Last year was an amazing experience, and we couldn’t wait to come back for more. BigPanda will be back at Monitorama to hear talks from leading open source developers, web operations experts, and a variety of thought leaders in the monitoring space.

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NOC – Modern NOC monitoring with BigPanda

NOC - Modern NOC monitoring with BigPanda

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ITSM – IT Tools for the DevOps Era

ITSM - IT Tools for the DevOps Era

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