16.2. Case Study Example

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16.2. Case Study Example

After suffering a cloud outage that made their Web portal unavailable for about an hour, Innovartus decides to thoroughly review the terms and conditions of their SLA. They begin by researching the cloud provider's availability guarantees, which prove to be ambiguous because they do not clearly state which events in the cloud provider's SLA management system are classified as "downtime." Innovartus also discovers that the SLA lacks reliability and resilience metrics, which had become essential to their cloud service operations.

In preparation for a renegotiation of the SLA terms with the cloud provider, Innovartus decides to compile a list of additional requirements and guarantee stipulations:

The availability rate needs to be described in greater detail to enable more effective management of service availability conditions.

Technical data that supports service operations models needs to be included in order to ensure that the operation of select critical services remains fault-tolerant and resilient.

Additional metrics that assist in service quality assessment need to be included.

Any events that are to be excluded from what is measured with availability metrics need to be clearly defined.

After several conversations with the cloud provider sales representative, Innovartus is offered a revised SLA with the following additions:

The method by which the availability of cloud services are to be measured, in addition to any supporting IT resources on which ATN core processes depend.

Inclusion of a set of reliability and performance metrics approved by Innovartus.

Six months later, Innovartus performs another SLA metrics assessment and compares the newly generated values with ones that were generated prior to the SLA improvements (Table 16.2).

Table 16.2 The evolution of Innovartus’ SLA evaluation, as monitored by their cloud resource administrators.

Answer the following questions in a substantive manner:

What are some of the reliability metrics that Innovartus should include in the SLA? Performance metrics?

Why did they switch from a cold-standby high availability model to a hot-standby?

What is the difference?

In the revised SLA the average availability is 99.98%. How many seconds is that of downtime in a month?

16.2. Case Study Example

After suffering a cloud outage that made their Web portal unavailable for about an hour,

Innovartus decides

to thoroughly review the terms and conditions of

their SLA

. They begin by

researching the cloud provider's availability guarantees, which prove to be ambiguous because

they do not

clearly

state which events in the cloud provider's SLA management system

are

classified

as "downtime."

Innovartus

also disc

overs that the SLA lacks reliability and resilience

metrics, which had become essential to their cloud service operations.

In preparation for a renegotiation of the SLA terms with the cloud provider, Innovartus decides

to compile a list of additional requi

rements and guarantee stipulations:

The availability rate needs to be described in greater detail to enable more effective management

of service availability conditions.

Technical data that supports service operations models needs to

be included

in order

to

ensure

that the operation of

select

critical services remains fault

-

tolerant and resilient.

Additional metrics that assist in service quality assessment need to

be included

.

Any events that are to

be excluded

from what

is measured

with availability metr

ics need to be

clearly

defined.

After several conversations with the cloud provider sales representative, Innovartus is offered a

revised SLA with the following additions:

The method by which the availability of cloud services are to be measured, in additi

on to any

supporting IT resources on which ATN core processes depend.

Inclusion

of a set of reliability and performance metrics approved by

Innovartus

.

Six months later, Innovartus performs another SLA metrics assessment and compares the newly

generated va

lues with ones that were generated

prior to

the SLA improvements (Table 16.2).

16.2. Case Study Example

After suffering a cloud outage that made their Web portal unavailable for about an hour,

Innovartus decides to thoroughly review the terms and conditions of their SLA. They begin by

researching the cloud provider's availability guarantees, which prove to be ambiguous because

they do not clearly state which events in the cloud provider's SLA management system are

classified as "downtime." Innovartus also discovers that the SLA lacks reliability and resilience

metrics, which had become essential to their cloud service operations.

In preparation for a renegotiation of the SLA terms with the cloud provider, Innovartus decides

to compile a list of additional requirements and guarantee stipulations:

The availability rate needs to be described in greater detail to enable more effective management

of service availability conditions.

Technical data that supports service operations models needs to be included in order to ensure

that the operation of select critical services remains fault-tolerant and resilient.

Additional metrics that assist in service quality assessment need to be included.

Any events that are to be excluded from what is measured with availability metrics need to be

clearly defined.

After several conversations with the cloud provider sales representative, Innovartus is offered a

revised SLA with the following additions:

The method by which the availability of cloud services are to be measured, in addition to any

supporting IT resources on which ATN core processes depend.

Inclusion of a set of reliability and performance metrics approved by Innovartus.

Six months later, Innovartus performs another SLA metrics assessment and compares the newly

generated values with ones that were generated prior to the SLA improvements (Table 16.2).