Xebia Articles

4 Situations Where AIOps Accelerates Software Development

Posted by Martin van Vliet on Jul 3, 2018 11:50:37 AM

There is a new trend going around in IT Operations, one which has been hard to miss: AIOps. Ever since Gartner coined the term, this approach of collecting IT Operations data and applying machine learning to it to gain insights to benefit your business has really taken off. While the benefits for Ops are fairly clear, will this trend also benefit developers? You bet! Read on to find out how.

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Topics: DevOps & Continuous Delivery

From ITOA to AIOps: 3 Differences You Should Know

Posted by Joey Compeer on Jun 27, 2018 11:57:00 AM

If you think you don’t need Artificial Intelligence for IT Operations (AIOps) because you invested in a lot of IT Operations Analytics tools (ITOA), think again. AIOps and ITOA are not the same.

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Topics: DevOps & Continuous Delivery

What is AIOps and Why Should You Care?

Posted by Joey Compeer on Jun 20, 2018 11:58:00 AM

 Today’s applications and infrastructure are constantly evolving and continue to span multiple environments. As the complexity of the environments increases due to cloud and microservices initiatives, getting full stack visibility into these dynamic environments becomes more difficult. 

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Topics: DevOps & Continuous Delivery

Collecting Critical Evidence for Faster Root Cause Analysis

Posted by Mark Arts on Apr 3, 2018 3:26:00 PM

It probably sounds familiar: You detect an issue with the end user experience (perhaps a performance degradation or outage). Once you’ve discovered the root-cause of the problem, it’s not difficult to fix. However, the real pain point is the time between those two events. Often times it is left to the user to find the root-cause by assembling teams, processes, tools and piecing together siloed data fragments. Every minute spent looking for the root-cause is money lost for your company, and even worse, reputation-damaging. This post covers which evidence you need to collect to accelerate your root cause analysis process. 

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Topics: DevOps & Continuous Delivery

You've Got a Great Data Lake, Now What?

Posted by Mark Arts on Jan 11, 2018 12:01:00 PM

In my job, I meet a lot of customers who have invested heavily in a data lake. And for good reasons, of course. With the increasing complexity and growing number of tools used, there’s a tremendous need to have all the data in one place. 

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Topics: DevOps & Continuous Delivery

How to assess and improve the quality of your application portfolio

Posted by Jochem Schulenklopper on Jan 4, 2018 11:35:18 AM

Xebia IT Architects share improvements on Gartner’s TIME model for application portfolio management

Application Portfolio Management is about visualizing and managing applications within in an IT landscape on a regular and correct basis. It also makes it possible to analyse certain KPI’s to improve the quality of your IT portfolio. The more practical and easy-to-understand a model is, the more supportive it can be for IT managers in this respect. Read here some enhancements to the Gartner TIME model.

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Topics: DevOps & Continuous Delivery

AIOps for Microsoft Azure Environments

Posted by Wytze Hazenberg on Dec 13, 2017 9:04:00 AM

 
As you might already know, StackState shines when it comes to providing a unified view of your Information Technology (IT) landscape. The last couple of years we have seen several businesses transition parts of their IT infrastructure to the cloud. However, only parts of the entire IT infrastructure are migrated to the cloud due to various reasons. Obtaining an overview of your entire infrastructure might be challenging when dealing with multiple tools, especially when introducing a whole new platform. Microsoft Azure is one cloud provider that is available today. This blog post focuses on leveraging Azure as a topology and telemetry source for StackState.
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Topics: DevOps & Continuous Delivery

Is Root Cause Analysis Dead or Are We Just Getting Started?

Posted by Lodewijk Bogaards on Nov 27, 2017 1:33:00 PM

Recently a friend sent me a link to a blog post called “The myth of the Root Cause”. This post makes some valid points. Especially the point that as our systems become more sophisticated, so do our problems. Often it is hard to find a single root cause. In fact, there might not even be one!

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Topics: DevOps & Continuous Delivery

A different approach to skill development

Posted by Erik Veld on Jun 27, 2017 9:00:00 AM

The business mindset is shifting to one where expertise is never fully achieved or accomplished. It’s crucial to nurture professional development as a constant, evolving process. This new mindset means that companies must continually “refresh” and refortify their established experts and nurture the growth of new ones. Forward-thinking companies do this by committing to ongoing training programs that focus on applicable knowledge instead of textbook skills.

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Topics: DevOps & Continuous Delivery, Agile Software Development, Test Automation & Quality, Cloud Infrastructures

Three trends in operational analytics

Posted by Erik Driehuis on May 30, 2017 9:00:00 AM

Software is becoming more and more business critical. Whether you’re delivering excellent e-commerce experiences or online banking, applying operational analytics is needed to monitor software and achieve zero-downtime. While operational analytics is still advancing, one thing remains certain. Whether operational analytics is being applied now or later, this technology will be adopted more in the next three years. Applying operational analytics to proactively address issues and prevent future outages is the way digital enterprises of the future are moving towards zero-downtime today.

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Topics: DevOps & Continuous Delivery