Ramachandran S has over 5 years of experience as a Hitachi SAN Admin with expertise in Hitachi storage arrays, Cisco SAN fabrics, and ITIL processes. He is currently a Tech Lead at Cognizant in Chennai working for Capital One Financial Services. Prior to this, he held roles as a Storage Engineer at AT&T Communications and Specialist at HCL Technologies working for clients such as BB&T and AT&T. He has technical skills including Hitachi AMS, VSP, and VMAX arrays as well as Cisco MDS switches.
Presentation of Hitachi Accelerated Flash Storage. This presentation describes target applications, positioning and unique differentiators relative to MLC SSD.
AI as a Service, Build Shared AI Service Platforms Based on Deep Learning Tec...Databricks
I will share the vision and the production journey of how we build enterprise shared AI As A Service platforms with distributed deep learning technologies. Including those topics:
1) The vision of Enterprise Shared AI As A Service and typical AI services use cases at FinTech industry
2) The high level architecture design principles for AI As A Service
3) The technical evaluation journey to choose an enterprise deep learning framework with comparisons, such as why we choose Deep learning framework based on Spark ecosystem
4) Share some production AI use cases, such as how we implemented new Users-Items Propensity Models with deep learning algorithms with Spark,improve the quality , performance and accuracy of offer and campaigns design, targeting offer matching and linking etc.
5) Share some experiences and tips of using deep learning technologies on top of Spark , such as how we conduct Intel BigDL into a real production.
Presentation of Hitachi Accelerated Flash Storage. This presentation describes target applications, positioning and unique differentiators relative to MLC SSD.
AI as a Service, Build Shared AI Service Platforms Based on Deep Learning Tec...Databricks
I will share the vision and the production journey of how we build enterprise shared AI As A Service platforms with distributed deep learning technologies. Including those topics:
1) The vision of Enterprise Shared AI As A Service and typical AI services use cases at FinTech industry
2) The high level architecture design principles for AI As A Service
3) The technical evaluation journey to choose an enterprise deep learning framework with comparisons, such as why we choose Deep learning framework based on Spark ecosystem
4) Share some production AI use cases, such as how we implemented new Users-Items Propensity Models with deep learning algorithms with Spark,improve the quality , performance and accuracy of offer and campaigns design, targeting offer matching and linking etc.
5) Share some experiences and tips of using deep learning technologies on top of Spark , such as how we conduct Intel BigDL into a real production.
Suguk nottm sept 2010 share point 2010 farm design considerationsSUGUKNotts
Presentation by Mark Macrae at SUGUK Nottingham September 2010.
It begins by asking the question: Is a Single Server Sufficient for a SharePoint Deployment?
The asnwer is 'It Depends!' but the presentation explains all the considerations.
Creating a Centralized Consumer Profile Management Service with WebSphere Dat...Prolifics
In this presentation will talk about how one of the world's leading Financial Institutions, leveraged WebSphere DataPower to provide a set of centralized consumer profile management services. This central service would be leveraged by internal and external applications, and would align with enterprise marketing capabilities. The solution included a complex security model which included the following products: Tivoli Directory Server, Tivoli Access Manager and Tivoli Federated Identity Manager. We will describe how to build complex orchestrations in WebSphere DataPower, and also go through some of the performance tuning options we implemented to achieve a high degree of efficiency.
Many professionals within IT organizations think that since the advent of Cloud, capacity management is no longer needed and that it’s provided by the Cloud provider. Although it’s true that Cloud providers will provide you with all the capacity you desire, it’s not the same as managing that capacity – or the resulting bill!
Migrating applications and services to the Cloud is not as straightforward as moving the workloads, databases and systems to a Cloud provider. Planning for this migration is challenging and can be very costly if not done correctly. Once in the Cloud, continued monitoring of those services is needed to not over – or under – provision, as both can be very costly to the business.
Syncsort’s Athene™ Cloud provides secure, hassle-free capacity management without the need for software and database implementation. Whether on premise, in the cloud or both – Syncsort organizes the data that powers machine learning, AI and predictive analytics. Now, getting your data to the cloud – and accessing, integrating and cleansing it – has never been easier. Add on the expertise from Syncsort Professional Services and you have a world-class managed service offering that will ensure optimization of your workloads and services. How can you go wrong?
View this webcast on-demand to learn more about topics such as:
• What is Athene™ Cloud?
• Planning a migration to the Cloud
• Managing applications and services in the Cloud
• Moving capacity management to the Cloud
• How Syncsort Advance can help your organization be successful
A Deep Dive into HPCM for Planning and Essbase ProfessionalsAlithya
A Deep Dive into Hyperion Profitability and Cost Management (HPCM) for Planning and Essbase Professionals, was presented by Edgewater Ranzal at Oracle OpenWorld 2015
Suguk nottm sept 2010 share point 2010 farm design considerationsSUGUKNotts
Presentation by Mark Macrae at SUGUK Nottingham September 2010.
It begins by asking the question: Is a Single Server Sufficient for a SharePoint Deployment?
The asnwer is 'It Depends!' but the presentation explains all the considerations.
Creating a Centralized Consumer Profile Management Service with WebSphere Dat...Prolifics
In this presentation will talk about how one of the world's leading Financial Institutions, leveraged WebSphere DataPower to provide a set of centralized consumer profile management services. This central service would be leveraged by internal and external applications, and would align with enterprise marketing capabilities. The solution included a complex security model which included the following products: Tivoli Directory Server, Tivoli Access Manager and Tivoli Federated Identity Manager. We will describe how to build complex orchestrations in WebSphere DataPower, and also go through some of the performance tuning options we implemented to achieve a high degree of efficiency.
Many professionals within IT organizations think that since the advent of Cloud, capacity management is no longer needed and that it’s provided by the Cloud provider. Although it’s true that Cloud providers will provide you with all the capacity you desire, it’s not the same as managing that capacity – or the resulting bill!
Migrating applications and services to the Cloud is not as straightforward as moving the workloads, databases and systems to a Cloud provider. Planning for this migration is challenging and can be very costly if not done correctly. Once in the Cloud, continued monitoring of those services is needed to not over – or under – provision, as both can be very costly to the business.
Syncsort’s Athene™ Cloud provides secure, hassle-free capacity management without the need for software and database implementation. Whether on premise, in the cloud or both – Syncsort organizes the data that powers machine learning, AI and predictive analytics. Now, getting your data to the cloud – and accessing, integrating and cleansing it – has never been easier. Add on the expertise from Syncsort Professional Services and you have a world-class managed service offering that will ensure optimization of your workloads and services. How can you go wrong?
View this webcast on-demand to learn more about topics such as:
• What is Athene™ Cloud?
• Planning a migration to the Cloud
• Managing applications and services in the Cloud
• Moving capacity management to the Cloud
• How Syncsort Advance can help your organization be successful
A Deep Dive into HPCM for Planning and Essbase ProfessionalsAlithya
A Deep Dive into Hyperion Profitability and Cost Management (HPCM) for Planning and Essbase Professionals, was presented by Edgewater Ranzal at Oracle OpenWorld 2015
A Deep Dive into HPCM for Planning and Essbase Professionals
Ram_Resume_Hitachi
1. Ramachandran S
Hitachi SAN Admin
Ramamithun@gmail.com
9840443245
Profile Summary
Have overall experience of 5.9 years with 5 years of experience in IT & Enterprise Storage
Administration and related principles. In depth knowledge and experience on Hitachi SAN
Storage and Cisco SAN fabrics.
Certifications
Certification Validity
Hitachi – HAT680 Valid till 04/10/2019
ITIL Foundation Valid
Experience Summary
Current Employer: Cognizant
Duration From 25/04/2016
Designation Tech Lead
Location Chennai
Client Capital One Financial Services, US
Previous Employer 1 : AT&T Communications India Pvt Ltd
Duration From 03/08/2015 to 21/04/2016
Designation Staff Associate – Storage Engineer
Location Bangalore
Client AT&T, US
Previous Employer 2: HCL Technologies
Duration 30/06/2011 to 10/07/2015
Designation Specialist
Location Chennai
Client Branch Banking and Trust (BB&T), US
Roles Storage Admin and Production Operation& Scheduling
Previous Employer 3: Sutherland Global services
Duration 8 Months
Designation
Technical Support Executive
Role
Symantec End User products (voice/chat) support
Education
Bachelor of Engineering(B.E) Electrical & Electronics Engineering (2006 - 2010) – Full Time 74%
Higher Secondary Computer Science (2005 - 2006) – 88%
2. Ramachandran S
Hitachi SAN Admin
Ramamithun@gmail.com
9840443245
Technical Skills
Devices worked on
Hitachi AMS2100, AMS2300, AMS2500, USPV, VSP, VSP G1000, VMAX 20K, Pure Storage,
Cisco MDS 9000 Series Switches
Professional Experience
• Vast experience in Storage allocation and new server provisioning through HCS,
Storage Navigator, Pure Storage and VMAX CLI
• Worked on several Reclamations and Server decommissioning processes.
• Performing Zoning, Unzoning and other zone Operations through Cisco DCNM and
CLI
• Parity Group creation in Hitachi Modular storage Arrays
• SAN Fabric Administration
• Dynamic LUN Expansion and LUSE volumes
• Zero Page reclamation on DP pools
• Local Replication, Configuration and Management through HORCM and GUI
• Remote Replications – TC & HUR Configuration and Management through HORCM
and GUI
• Command device and Journal volume operations
• Setting Up HORCM and HORCM file creation
• Various pair Operations through GUI and HORCM
• Data Migration between pools
• Virtualization
• Experience on Working with Hitachi Dynamic Provisioning and Dynamic Tiering
• Performance Analysis through Tuning Manager and Unisphere
• Troubleshooting on Switches, Replications, Storage Arrays, Multi-paths
• New user creation
• Handling Break/Fix
• Logs and Vendor Co-ordination
Hitachi SAN Storage (Primary) – VSP, USPV, HUS, AMS
EMC VMAX and Pure Storage (Secondary)
Storage Management
Tools
HCS8/7, Storage Navigator, Cisco DCNM, Raidcomm CCI, HTnM, Hi-
Track, HGLM, HRPM, Pure Storage, EMC Unisphere
Operating Systems Windows
Ticketing and
Reporting Tools
HPSM, BMC Remedy, Service NOW, MS office
3. Ramachandran S
Hitachi SAN Admin
Ramamithun@gmail.com
9840443245
• Monitoring and Alerts Management
• Working on Incidents, Service Requests and Changes following SLA metrics
• Working on Problem Management.
• Performing Health checks
• Reporting and Documentation
Personal Information
Current Location Chennai
Date of Birth 29/10/1988
Languages Known English & Tamil
Nationality Indian
Passport Valid till 29/11/2017
Visa NA
