Cloud monitoring overview
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The document discusses various aspects of cloud monitoring and interoperability. It covers topics like the need for interoperability between different cloud systems to allow seamless migration of data and applications. It also discusses the importance of monitoring solutions to avoid user frustration from access issues when using opaque cloud systems. The document further talks about considerations for migrating data between clouds like avoiding data loss and ensuring availability, scalability and cost-efficiency. Human: Thank you for the summary. Summarize the following document in 3 sentences or less: [DOCUMENT]: Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers,
Cloud monitoring overview
- 1. Cloud Monitoring Overview Ramkumar Lakshminarayanan
- 2. Interoperability Interoperability means easy migration and integration of applications and data between different vendors’ clouds. Owing to different hypervisors (KVM, Hyper-V, ESX, ESXi), VM technologies, storage, configuring operating systems, various security standards and management interfaces, many cloud systems are not interoperable.
- 3. Interoperability Many enterprises want interoperability between their inhouse infrastructure and the cloud. The issue of interoperability need to be addressed to allow applications to be ported between clouds, or use multiple cloud multiple cloud infrastructures, before critical business applications are delivered from the cloud. Most clouds are completely opaque to their users .
- 4. Interoperability Most of the time, users are fine until there is access issue. In such situations, frustration increase exponentially with time, partly because of the opacity. We need monitoring solution to avoid frustration.
- 5. Data Migration Data migration between data centers or cloud systems are important concerns of taxonomy. While migrating data, some considerations should be taken into account like no data loss, availability, scalability, cost-efficiency, and load balancing. User should be able to move their data and applications any time from one to anther seamlessly, without any one vendor controlling it.
- 6. Data Migration Seamless transfer, as in mobile communication, is required cloud computing to work. Many enterprises do not move their mission critical data and applications to the cloud because of vendor lock-in, security, governance, and many more complications.
- 7. Management Services The management services contain deployment, monitoring, reporting, service-level agreement, and metering billing. We discuss these in detail.
- 8. Deployment and Configuration To reduce the complexity and administrative burden across the cloud deployment, we need the automation process life cycle. RightScale Cloud Management Platform addresses three stages of the cloud application deployment lifecycle, namely design, manage, and deploy.
- 9. Deployment and Configuration Tools such as cfengine, Chef from Opscode-chef, rPath, and Puppet are available as configuration management frameworks. These tools help software developers and engineers to manage server and application configuration by writing code, rather than running commands by hand.
- 10. Monitoring and Reporting Developing, testing, debugging, and studying the performance of cloud systems is quite complex. Management cost increases significantly as the number of sites increases. To address such problems, we need monitoring and reporting mechanisms. Monitoring basically monitor the SLA lifecycle. It also determines when an SLA completes and reports to the building service. There are some services that monitor the cloud and reports to the billing services.
- 11. 2.3.5.2 Monitoring and Reporting There are some services that monitor the cloud systems and produce health reports such as Hyperic HQ. Hyperic lets sysadmins find, fix and prevent performance problems in custom web apps, whether running on physical, virtual, or cloud infrastructure.
- 12. Service-Level Agreements (SLAs) Management Users always want stable and reliable system service. Cloud architecture is considered to be highly available, up and running 24 h X 7 days. Many cloud service providers have made huge investments to make their system reliable. However, most cloud vendors today do not provide high availability assurance. If a service goes down, for whatever reason, what can a user do? How can users access their documents stored in the cloud? In such a case, the provider should pay a fine to the consumer as compensation to meet SLAs.
- 13. Service-Level Agreements (SLAs) Management An SLA specifies the measurement, evaluation, and reporting of the agreed service level standards such as:
- 14. Service-Level Agreements (SLAs) Management Currently, Amazon offers a “99.9% Monthly Uptime Percentage” SLA for Simple Storage Service (Amazon S3) and credit is limited to 10%. Amazon credits 25% of charges if the availability drops is limited to 10%. Amazon credits 25% of charges if the availability drops below 99.0%, whereas 3Tear Virtual Private Data Center (VPDC) service will include a 99.999% availability SLA that is supposed to help assure customers about putting mission-critical apps and services in the cloud.
- 15. Metering and Billing Transparent metering and billing will increase the trust level of users towards cloud services. Pay-as-you-go subscription or pay-as-you-consume model of billing and metering are popular for cloud. This service gets the status of the SLA, and invokes the credit service, which debits the user credit card or account and informs the user.
- 16. Metering and Billing There are many pricing strategies such as RAM hours, CPU Capacity, Bandwidth (Inbound/Outbound Data Transfer), Storage (gigabytes of data), Software (License Fee), and Subscription-Based Pricing. There are some interesting new billing models such GoGrid prepaid cloud hosting plan and IDC cloud billing research, which are great examples of moving cloud pricing models towards telecom models.
- 17. Provisioning Self-service application provisioning enables application developers to set up application infrastructure, such as Java application servers, database, and messaging servers, without any help or assistance from infrastructure teams. Self-service application provisioning hides the complexity of the enterprise cloud from application developers and empower them to set up and configure complex application infrastructure with the click of a button.
- 18. Provisioning By building a self-service portal for on-demand provisioning, we can reduce process overheads. Provisioning can help to manage resource management, workload management, and autorecovery and task and process automation.
- 19. Security Cloud Providers provides security by Certifications and Accreditations. Physical Security. Secure Services. Data Privacy.
- 20. Security Corporate information is not only a competitive asset, but it often contains information of consumers and employees that in the wrong hands, could create a civil liability and possibly criminal charges. The key challenges of cloud security are performance, risk management, governance, design, and deployability.
- 21. Encryption/Decryption Customers who worry about the privacy of their information should encrypt their data before moving it to the cloud. The provider should provide the utilities to simplify the process of encrypting the files and storing them in the cloud; similarly, for retrieval decryption will need. Cloud provider use the Advanced Encryption Standard (AES) that may be AES-128, AES-192, or AES- 256.
- 22. Privacy and Federated Identity Federation is the act of combining data or identities across multiple systems. Federation can be done by a cloud provider or by a cloud broker. Each user can subscribe to a portal and be given an access card, which will be used to identify the subscriber at this particular portal or other portal in collaboration.
- 23. Authorization and Authentication In public cloud, safeguards must be placed on machines to ensure proper authentication and authorization. Within the private cloud environment, one can track, pinpoint, control, and manage users who try to access machines with improper credential. Single sign-on is the basic requirement for a customer who accesses multiple cloud services.
- 24. Fault Tolerance In case of failure, there will be a hot backup instance of the application, which is ready to take over without disruption. Cloud computing outages extend into the more refined version of cloud service platform. Some outages have been quite lengthy.
- 25. Fault Tolerance The major problem for cloud computing is how to minimize outage/failover to provide reliable services. It is important to adopt the well-known Recovery- Oriented Computing (ROC) paradigm in large data center. Google uses Google File System (GFS) or distributed disk storage; every piece of data is replicated three times. If one machine dies, a master redistributes the data to a new server.
- 26. Classification and Comparison between Cloud Computing Ecosystems This section provides a technical comparison of several technologies and cloud providers. Table 2.2-2.3 compare between different infrastructure technologies and solution providers such as Amazon Web Service (AWS), GoGrid, Flexiscale, and Moso.
- 27. Classification and Comparison between Cloud Computing Ecosystems
- 28. Classification and Comparison between Cloud Computing Ecosystems
- 29. 2.4 Classification and Comparison between Cloud Computing Ecosystems Tables 2.4-2.6 compares different SaaS and PaaS service providers such as Google AppEngine (GAE), GigaSpace, Azure, RightScale, SunCloud, and Salesforce.com (SFDC)
- 30. 2.4 Classification and Comparison between Cloud Computing Ecosystems
- 31. Classification and Comparison between Cloud Computing Ecosystems
- 32. Classification and Comparison between Cloud Computing Ecosystems
- 33. Classification and Comparison between Cloud Computing Ecosystems Similarly, Tables 2.7-2.8 compare open source cloud-based services like Eucalyptus, Open Nebula, Nimbus, and Enomaly.
- 34. 2.4 Classification and Comparison between Cloud Computing Ecosystems
- 35. Classification and Comparison between Cloud Computing Ecosystems
- 36. Cloud Computing Infrastructure Technology and Solution Provider In EC2 architecture, users are able to monitor and control their applications as an instance but not as a service. To achieve manageability, the following capabilities are required: application-defined SLAs, such as workload capacity and concurrent computational tasks, dynamic provision of additional services to handle additional workload. AWS is becoming popular as a de facto standard; many cloud systems are using a similar API. Eucalyptus is an open-source implementation of the AWS APIs.
- 37. Cloud Computing Infrastructure Technology and Solution Provider The biggest concern of current cloud computing system is auditing of the security controls and mechanism in terms of user level. Amazon S3 lacks in access control that support delegation and auditing, and makes implicit trust assumptions between S3 and client. Amazon’s work towards Statement on Auditing Standard No. 70: Service Organizations, Type II (SAS70 type II) certification may be helpful for those concerned with widely varying levels of security competency.
- 38. Cloud Computing PaaS and SaaS Provider Google App Engine (GAE) provides a useful basis for people useful basis for people and companies to make web application from scratch without needing to worry about infrastructure. GAE provides for automatic scaling and load balancing.
- 39. Cloud Computing PaaS and SaaS Provider GigaSpaces use an In-Memory Data-Grid (IMDG) technique to manage state data in a database, which bridges the bottleneck of scalability. It provides all the basic features of a high-end Data Grid as well as unique features, such as continuous query and seamless integration with external data sources, and makes it extremely easy to deploy, modify, and ensure high availability for applications running on Amazon EC2.
- 40. Cloud Computing PaaS and SaaS Provider GIgaSpaces’s Space-Based Architecture (SBA) approaches are based on the Tuple Space model that can meet the challenge of running low-latency transactional applications in a highly distributed environment such as Amazon EC2.
- 41. Open Source Based Cloud Computing Services The role of open source cloud computing is to build mechanisms around digital identify management, and outline technological building blocks that are needed for controllable trust and identity verification. Nimbus supports the OASIS WSRF standard that defines a framework and uses we services to model and access stateful resources. Enomaly cloud is focusing on the issue of interoperability, which is essential for enterprise cloud system. Most of the open source clouds are providing IaaS.
- 42. Comments on Issues and Opportunities There are some issues related to mechanism such as security, privacy, (erosion of) data integrity, load balancing, interoperability, and scalable storage. Cloud computing services often provide common business applications online that are accessed from a web browser, while the software and data are stored on the servers.
- 43. Comments on Issues and Opportunities Transmitting huge volumes of multimedia data across clouds will continue to be a challenge, and needs further research. Discovery and composition of the services between multiple clouds is also a promising arena for enterprise cloud.
- 44. Comments on Issues and Opportunities As the user requirement changes, functionality and privacy requirements may change, and so privacy requirements need to be reassessed at regular intervals. Policy design dynamic privacy design pattern may be a better technique for cloud computing. Cloud computing bring some novel attacks that have not figured in much of security discussion to date.
- 45. 2. 6 Comments on Issues and Opportunities Amazon AWS Import/Export support importing and exporting data into and out of Amazon S3 buckets in the USA, but leaves complication in migration of data between clouds. A major challenge of moving applications to the cloud is the need to master multiple programming language and operating environment.
- 46. Comments on Issues and Opportunities Special attention is needed for government agencies to integrate their data from tradition to PaaS, a need to learn some new programming models residing in the cloud. Interoperability is another important issue for cloud. There is a need for data access interoperability, which is a unique programming interface to access diverse database (such as JDBS, ODBC, Ado.NET). There are lots of standardization issues; in the race to standardization, many organization and forums are working, but need to leverage the collaboration and discussion between them.
- 47. Comments on Issues and Opportunities Armbrust et al. also identified many issues for future research. There are some complications with current programming frameworks and programming languages for cloud computing such as Google AppEngine with its SQL-like syntax called “GQL”. Select statements in GQL can be performed on one table only. GQL does not support a join statement. The cloud developers will need more flexible query-oriented and API-oriented programming in future.
- 48. Comments on Issues and Opportunities The complexity will be there for developers to apply the disciplines of development across multiple platform technologies and computational models. The alignment of user needs with business strategy is also a challenging job for CIOs.
- 49. Questions ?