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How do you automate and optimize your cloud monitoring processes and workflows?

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Cloud monitoring is essential for ensuring the performance, availability, security, and cost-efficiency of your cloud-based applications and infrastructure. However, manual monitoring can be time-consuming, error-prone, and inefficient. That's why you need to automate and optimize your cloud monitoring processes and workflows, using the right tools and techniques. In this article, we'll show you how to do that in six steps.

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Harish Narayanasamy

Lead II - Cloud Infrastructure Services at UST

1 Define your monitoring goals and metrics

Before you start automating and optimizing your cloud monitoring, you need to have a clear idea of what you want to achieve and how you will measure it. Depending on your business objectives and service level agreements, you may want to monitor different aspects of your cloud environment, such as availability, performance, reliability, scalability, security, or cost. You also need to define the key performance indicators (KPIs) and thresholds that will help you evaluate your cloud monitoring results and trigger alerts or actions when needed.

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Harish Narayanasamy

Lead II - Cloud Infrastructure Services at UST
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What are the factors/parameters to be monitored has to be ironed out with business processes/customer/stakeholders. Accordingly levels of alerting and meaningful action shall be taken based on the inputs.

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2 Choose your monitoring tools and platforms

The next step is to select the best tools and platforms for your cloud monitoring needs. There are many options available, from native cloud services to third-party solutions, from open-source to proprietary, from agent-based to agentless, from synthetic to real-user monitoring. You should consider the features, compatibility, scalability, integration, and cost of each tool and platform, and how they fit your cloud architecture and monitoring goals. You may also want to use a combination of tools and platforms to cover different aspects of your cloud monitoring.

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Harish Narayanasamy

Lead II - Cloud Infrastructure Services at UST
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In my experience, depending on the organization, industry and type of project a suitable monitoring tool shall be chosen. One should not end up in a tool that is too complex or in tool that lacks features. Evaluating tool before purchase is very important so that all the metrics, integration and customization factors are meeted

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3 Configure your monitoring policies and rules

Once you have your tools and platforms in place, you need to configure them according to your monitoring policies and rules. These are the guidelines that determine how your cloud monitoring will operate, such as what data to collect, how often to collect it, where to store it, how to analyze it, what to report, and what to do in case of anomalies or incidents. You should use automation to apply your policies and rules across your cloud environment, and ensure consistency and compliance. You should also review and update your policies and rules regularly, as your cloud environment evolves.

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Harish Narayanasamy

Lead II - Cloud Infrastructure Services at UST
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Monitoring policies, SOP's, SLA/OLA along with proper escalation matrix to be made available for effective monitoring. In my perspective most monitoring teams are still not proactive rather they are reactive.

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4 Implement your monitoring workflows and pipelines

The next step is to implement your monitoring workflows and pipelines, which are the sequences of actions that your cloud monitoring will perform, based on your policies and rules. For example, you may have a workflow that collects data from multiple sources, aggregates it, sends it to a dashboard, and triggers an alert if a threshold is exceeded. You should use automation to create, execute, and manage your workflows and pipelines, and optimize them for efficiency and reliability. You should also use best practices such as version control, testing, and documentation for your workflows and pipelines.

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5 Analyze your monitoring data and insights

The main purpose of your cloud monitoring is to provide you with valuable data and insights that can help you improve your cloud environment and achieve your business goals. Therefore, you need to analyze your monitoring data and insights regularly, using the tools and platforms that you have chosen. You should use visualization, reporting, and alerting features to make sense of your data and insights, and identify trends, patterns, issues, or opportunities. You should also use automation to perform advanced analysis, such as anomaly detection, root cause analysis, or predictive analytics.

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Harish Narayanasamy

Lead II - Cloud Infrastructure Services at UST
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Any dashboard or statistics which does not provide meaningful data and enables business owners to take decisions is not going to be useful. Otherwise it is just some colorful graphs without information and real insights.

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6 Act on your monitoring feedback and recommendations

The final step is to act on your monitoring feedback and recommendations, which are the outcomes of your analysis that can help you optimize your cloud environment and enhance your user experience. You should use automation to implement your feedback and recommendations, such as scaling up or down your resources, adjusting your configuration, or applying patches or updates. You should also use automation to measure the impact of your actions, and verify that they have achieved the desired results. You should also use automation to learn from your monitoring feedback and recommendations, and continuously improve your cloud monitoring processes and workflows.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How do you automate and optimize your cloud monitoring processes and workflows?

1

2

3

4

5

6

7

1 Define your monitoring goals and metrics

2 Choose your monitoring tools and platforms

3 Configure your monitoring policies and rules

4 Implement your monitoring workflows and pipelines

5 Analyze your monitoring data and insights

6 Act on your monitoring feedback and recommendations

7 Here’s what else to consider

IT Operations

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How do you automate and optimize your cloud monitoring processes and workflows?

1

2

3

4

5

6

7

1 Define your monitoring goals and metrics

2 Choose your monitoring tools and platforms

3 Configure your monitoring policies and rules

4 Implement your monitoring workflows and pipelines

5 Analyze your monitoring data and insights

6 Act on your monitoring feedback and recommendations

7 Here’s what else to consider

IT Operations

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