Resource Automation in the Cloud: Event Lifecycle Management


This is the follow-up post to our Series “Resource Automation”. In this part we will focus on Event Lifecycle Management and the associated challenges we face in terms of resource Automation. By Event Lifecycle Managment, we basically mean what happens if events in the datacenter or cloud occur. Events can be different things but most likely they are of the type “errors” or “warnings”. If an error occurs, this is triggered as an event and necessary steps will be taken.

In each of the Steps of the Lifecylce, erros can and will occur. So we have to take that into account. Responding to errors is critical for the business. Just imagine what happens if you fail to deliver a service level. More calls will be received by your support Desk and you not only have a technical problem but also an organisational. In many cases, the support desk is outsourced and it can be sort of scaled on demand – however, this costs money again.
Event Lifecycle Management Consists of 4 Steps:
  1. Alerting. Time that is necessary to realise that there is a problem. In between 15 minutes to more than an hour.
  2. Identification. Identifying the cause of a problem and the likely solution.
  3. Correction. Correcting the Error
  4. Validation. Validating that the error is now gone

Correcting this error often takes up to a day! So optimising in each phase leads to a signifiant cost reduction.

Event Lifecycle Management in the Cloud
Event Lifecycle Management in the Cloud
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Published by

Mario Meir-Huber

I work as Big Data Architect for Microsoft. With this role, I support my customers in applying Big Data technologies - mainly Hadoop/Spark - for their use-cases. I also teach this topic at various universities and frequently speak at various Conferences. In 2010 I wrote a book about Cloud Computing, which is often used at German & Austrian Universities. In my home country (Austria) I am part of several organisations on Big Data.

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