Cloud Capacity Management

Cloud Capacity Management

Defining Cloud Computing Cloud computing is a type of Internet based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services), which can be rapidly provisioned and released with minimal management effort. https://en.wikipedia.org/wiki/cloud_computing 2 Cloud Capacity Management

Capacity Management Why is Capacity Management needed? A stable IT service must be provided To optimize and provide cost savings To maintain Service Levels To understand the status of the environment at a glance Cloud Capacity Management 3

Component Capacity Management is what most organizations focus on, while not realizing that the most value that Capacity Management can bring is really at the Service and Business level. It must be said that effective Service and Business Capacity Management cannot be done without a solid foundation at the component level. The first prerequisite is having the appropriate component data at hand this data underpins Service Capacity Management and forms a foundation for Business Capacity Management. Being an effective Capacity Manager at the component level requires adequate technical skills in order to facilitate effective communication between the Capacity Manager and silo experts. Telling the story to a silo expert is at a much more technical level and is far different from telling the story to a business manager. Demonstrating value at the component level demands that automation be put in place no capacity manager has time to manually manage the thousands of IT components found in an average organization, at least not without almost wholly sacrificing the more value-oriented work that can be done at the service and business level. As time goes on, less of the focus should need to be placed at the component level. Automation should mean that more of the Capacity Manager s time can be spent at the Service and Business level. Service Capacity Management The key to the success of Service Capacity Management is in understanding many different relationships, those between components, between different organizations that are providing the components, and between the groups providing the IT service and the business. Service Capacity Management has mainly to do with live, operational IT services, so a key relationship is between the business stakeholders, IT, and Service Level Management. The Capacity Manager must be part of the process of helping to set and then police the SLAs. It s important that the Capacity Manager be able to communicate the benefits early in the service lifecycle in order to be a key, trusted stakeholder in the life of each critical service. Being able to correlate the information provides additional value at this level. The cornerstone of Service Capacity Management is the CMIS. Having capacity and other related data available at hand is crucial for the capacity manager s ability to properly monitor services (as well as the underpinning components). An effective CMIS will also contain financial and business data that can help guide the Capacity Manager when making recommendations. A centralized CMIS provides the ability to correlate the information. Business Capacity Management - Eventually, as automation reduces the amount of manual effort at the component level and services are well defined, much of the focus will shift to the business level, the area where the Capacity Manager can demonstrate the most value. Here relationships are still important, but these are most likely the relationships between 4 Cloud Capacity Management

IT and the business, and the Capacity Manager can be a key interface. Engagement with the business is the key factor in taking Capacity Management to a high proactive or optimized level. Capacity Management simply can t be successful without key business drivers and those come from a good relationship between IT (brokered by the Capacity Manager and to a certain extent the Service Level Manager) and the business. All the while, the Capacity Manager needs to be able to put the benefits in terms the business will understand and continually sell the business of the value of proper capacity management and of the pitfalls sure to befall the business without proper capacity management. Benefits of Capacity Management Understanding your workloads and implementing continuous system optimization equals a Stable IT Service and Optimization of Costs Balance Service with Workload on the current Resource and retain a balance in future while Workload is varying. Capacity Management variables introduced by the Cloud There are a number of variables: The Cloud can be out of your control There can be a possible impact on performance by outside influences Cloud Pricing Cloud Capacity Management 5

Cloud Pricing What do Cloud Providers Charge for? Cloud Provider Pricing Pricing Parameters for an Instance Type Zone Storage options Tenancy: dedicated, shared OS Software preinstalled License type Cloud Pricing the Nuances Pricing Vs Discounts Cloud services location 6 Cloud Capacity Management

Overview of the most prominent Cloud offerings AWS Started with public cloud for SMEs and startups Actively focused on the enterprise reaching into the datacenter from the Cloud Strategy Innovation Deep knowledge of customer usage and ability to both react to and build solutions First to offer new category-defining features and services Ease of adoption Azure Snowball or Snowmobile AWS implementation services AWS Server Migration Service Leveraging existing installed base to expand the Datacenter to Azure Thorough understanding of enterprises needs, and the resources in place globally to serve them well Beginning to embrace non-microsoft technologies, including Linux and ios Developer friendly Integrated Visual Studio and.net tools for developing, building and deploying to Azure Platform also delivered by partners for wider geographical and local coverage Azure Stack Licensing EA, Server and Cloud Enrollment Google Strategy Emphasizes its technology leadership in building distributed systems Its global network Strong commitment to open source Low costs Sheer technology brilliance Willingness to invest in cutting edge datacenter technology; purpose-built hardware backed by deep pockets Integration with Google owned data services Popular with media and entertainment, life sciences, retail, financial services, gaming and technology companies Cloud Capacity Management 7

NEW announced at Google March 8th 2017 Compute Engine price cut by 8% Committed Use Discounts - up to 57% discount for 1 or 3 year commitment paid monthly, with no upfront costs IBM Softlayer IBM SoftLayer rebranded to BlueMix SoftLayer IaaS and Bluemix PaaS platform combined Focused on Hybrid Cloud Solid understanding of enterprises needs Leverage existing installed base to expand to the Cloud IBM is also a Cloud broker. Resells AWS, Azure and Google Clouds Differentiated with Bare Metal Server offering and wide array of application services Licensing simplified pricing with simple options; EA Oracle Oracle Cloud is designed to preempt and steer the bleeding from the datacenter to Oracle instead of AWS Solid understanding of enterprises needs Only provider for SPARC compute instances as VM or Bare metal Strategy Focused on Hybrid Cloud Leverage existing installed base to expand to the Cloud Converting on premise installed base onto on premise Clouds with direct connect to Oracle Cloud Licensing Simplified pricing; EA Planning your move to the Cloud The Cloud Deployment Cycle consists of 4 phases, Evaluation, Purchasing, Implementation and Operations. Metrics for capture from the Cloud Infrastructure There are two places to capture metrics from: Cloud point of view, e.g. Cloud Watch Guest point of view, e.g. operating system 8 Cloud Capacity Management

Metrics to Capture Cloud Hosted Metrics CPU IOPs Average Transaction Time Volume Busy Data Transfer Rate Data Transfer Volume On Premise Metrics CPU Utilization Storage (Allocation, Transfer Rate) Network Number of Transactions Metrics for successful Capacity Management The CMIS is able to store data captured from many data sources and you are then able to start to unify the data together. athene Capacity Management Software brings metrics from across the enterprise to one place, giving you a 360 view of your services and infrastructure. Cloud Capacity Management 9

Reporting examples Some examples of the types of reports you can create are shown below. Amazon EC2 CPU Percentage Amazon EC2 Instance IOs per Second 10 Cloud Capacity Management

Amazon EC2 CPU Transaction Time How to Plan for the Cloud Some fundamental questions to take in to consideration What do I have? Which Cloud? What should I buy? How much should I buy? As provisioned or utilized? What are my buying options? What will it cost? How does it compare across clouds and on-prem? This is where Akasia helps you by providing you with actionable information including: What do you have on premise, and how much is it costing you? Equivalent Cloud resources (AWS, Azure, Google, IBM, Oracle) exact BOM Cost estimates of running your workloads in the Cloud Cloud Capacity Management 11

View On-Premise Data Hosts, VMs View Summary Cloud Costs for Candidate VMs 12 Cloud Capacity Management

View Cost Charts for Public Clouds View Detailed Cloud Costs for Candidate VMs Cloud Capacity Management 13

Summary Plan your Cloud migration strategy Understand all the Cloud infrastructure components Understand all the Cloud infrastructure costs Capture data from both the Cloud provider and application servers Continually monitor Centralized CMIS 14 Cloud Capacity Management

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