Venkatesh Gundu is a senior operations manager at Infosys BPO Ltd in Bangalore with over 12 years of experience. He has managed operations for clients in industries such as online advertising, software resale, and telecom. Some of his key responsibilities include business planning, budgeting, resource allocation, and driving cost efficiencies. He has received several awards for achievements like establishing business analysis processes, receiving client satisfaction awards, and successfully transitioning resources between clients. Gundu has a certificate from IIM-Ahmedabad and bachelor's degree from Osmania University.
Creating Your Virtual Data Center: Amazon VPC Fundamentals and Connectivity O...Amazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
Creating Your Virtual Data Center: Amazon VPC Fundamentals and Connectivity O...Amazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
Planning datacenter migrations can involve thousands of workloads and tens of thousands of servers and are often deeply interdependent. Application discovery and dependency mapping are important early first steps in the migration process, but difficult to perform at scale due to the lack of automated tools. AWS Application Discovery Service is a new service (coming soon) that automatically identifies data center applications and dependencies, and baselines application health and performance to help plan your application migration to AWS quickly and reliably. This talk introduces the new Application Discovery Service capabilities for simplifying the planning process for data center and large scale migrations to AWS. We will discuss how you can use the AWS Application Discovery Service data service to examine the applications running your data center, their attributes, and their dependencies and then use this information to help reduce the time, cost, and risk of migrating applications to AWS.
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
Amazon WorkSpaces and Amazon WorkSpaces Application Manager: Delivering Cloud...Amazon Web Services
Amazon WorkSpaces provides businesses with secure, managed desktops in the Amazon cloud, and offers an enhanced security posture, the ability to support the needs of a modern mobile workforce, and the flexibility to scale globally. In this session, you’ll hear about how organizations can simplify end user computing by moving desktops to the cloud. The session will cover identity and access management, network access and design, integration with on-premises IT infrastructure, application delivery, and the end user experience. This session is for enterprise IT professionals interested in learning best practices for deploying Amazon WorkSpaces at scale. Topics will include security and network access, identity and access management, application delivery, and end user experience.
Women in Technology: Supporting Diversity in a Technical WorkplaceAmazon Web Services
Diversity in the technical workforce is a valuable asset for all companies, because it encourages different types of thinking and taps into the full potential of your team. Come learn from one AWS organization how a fast-moving, fast-growing team has put in place a "diversity circle" for personal and professional development. This program provides a peer mentoring group that builds skills and establishes informal networking support. The host and active participants of this two-year program will share tips and best practices for running a diversity peer mentoring group that spans engineering, product management, and operations.
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.
Amazon Elastic Block Store (Amazon EBS) provides flexible, persistent storage volumes for use with Amazon EC2 instances. In this technical session, we conduct a detailed analysis of all types of Amazon EBS block storage including General Purpose SSD (gp2) and Provisioned IOPS SSD (io1). Along the way, we will share Amazon EBS best practices for optimizing performance, managing snapshots and securing data.
Amazon Machine Learning (Amazon ML) is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning’s powerful algorithms create machine learning models by finding patterns in your existing data. The service uses these models to process new data and generate predictions for your application. In this session, we will show you how to use machine learning with the data you already have to arrive at accurate and actionable predictions - to create smart applications. You will learn how to use and integrate Amazon ML into your applications to take advantage of predictive analysis in the cloud.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Pop-up Loft | London - Introduction to AWS Security by Ian Massingham, Chief Evangelist EMEA, 19 April 2016
Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.
Get the Most Out of Amazon EC2: A Deep Dive on Reserved, On-Demand, and Spot ...Amazon Web Services
With Amazon EC2, you have the flexibility to mix-and-match purchasing models to suit your business needs. By combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models, you can optimize cost, grow your compute capacity and throughput, and enable new types of cloud computing applications. This presentation will guide you on how to achieve high performance and availability at the lowest TCO. We will explore how to best combine EC2's purchasing models across several common applications with immediately actionable takeaways.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyAmazon Web Services
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
Secure Content Delivery Using Amazon CloudFront and AWS WAFAmazon Web Services
Whether you are building an e-commerce site or a business application, security is a key consideration when architecting your website or application. In this session, you will learn more about some of the things Amazon CloudFront does behind the scenes to protect the delivery of your content such as OCSP Stapling and Perfect Forward Secrecy. You will also learn how you can use AWS Web Application Firewall (AWS WAF) with CloudFront to protect your site. Finally, we will share best practices on how you can use CloudFront to securely deliver content end-to-end, control who accesses your content, how to shield your origins from the Internet, and getting an A+ on SSL labs.
Vmware Airwatch 8.3 Is A Quintessential Enterprise Mobility Security SolutionPaul Cook
A few days back, we saw a new enterprise security solution approaching digital solutions market. VMWare AirWatch 8.3 is the new name of data security for sophisticated security standards of sound enterprises and vigilant industrial organizations.
1. Venkatesh Gundu
Email:venki_g5@yahoo.co.in Mobile: 9900105429
Objective: To work in a fulfilling and challenging atmosphere by contributing my knowledge, skills and
experience towards organizational growth and self-development.
Experience: Total work experience: 12 years plus at Infosys BPO Ltd, Bangalore.
Current Role: Senior Operations Manager.
Summary of Client experience:
1. Transformational Solution Group (November 2011-Till date)
2. Online Advertising Client (March 2011-October 2011)
3. Software Reseller Client (January 2007-February 2011)
4. Telecom Major (January 2004-December 2006)
Key Responsibilities:
AssistingBusinessUnitLeaderinarrivingat tactical and strategicdecisionstosupportthe
businessunit’sgoals(financial,quality,production,customerservice,operational efficiency)
Planning&Analysis - Budgeting,BestEstimate- Minimal Variance betweenBestEstimatesvs
Actual
Business plan- Review,analyze andcreate detaileddocumentationof systemsanduser
needs,andstepsrequiredtodevelopormodifybusinessplan
Analyze businessunit’sactivitiesandtrendsandcompare analyze againstthe service
standardsand bestpractices.Presentfindingsandworkwiththe BusinessUnitLeaderand
otherpersonnel toidentifyandimplementstrategiesthatwill addresstactical andstrategic
goals.
HandledRevenue Projections,Billing,GrossMarginimprovementandRevenue Productivity
analysisforall unitsinthe organization.
Gross marginImprovement - WorkedCloselywithOperationsteamsandcome upwithIdeas
to improve the grossmargin.
ManagementUpdatesandReview - Data Quality&completeness,Adherence totimelines,
reviewandclose of Actionitems
Resource allocation,Resource Management.
SecondmentProcesswhichincludesresource managementbetween InfosysTechnologyand
InfosysBPO.
Resolvingemployeeissuesrelatingtosalary,transfers,attendance,travel, accesscontrol,
visarelatedetc.
Providingsupportforall employeesinTransformationSolutionGroupwhichconsistsof BPO
and Technologyemployeeswhoare workingforBPOprojectsonSecondment.
2. Attritionandemployee dataanalysis.UtilizationAnalysis,inordertomaintainand reduce
the employee costonthe unit.
Managing all offshore administrativeaspects,re-deploymentof all clientresourcesandOff-
BoardingfromClientNetwork.
Drivingcostefficienciestoimprove financial performance of the teams.
AnalyzingandprovidingearlywarningtoOperationswith respecttoshortage of resources
and billing.
Includesresponsibility,accountability,accuracyand timeliness,integrityof dataandreports
sentto clientandinternal stake holders.
Resolvingandprovidingsolutionsto the Operationsand Businessenablingfunctionsof
InfosysBPOLtd.
Providingcrosstrainingtothe teamon each functionforsmoothhandoverandforfurther
successionplanning.
Achievements:
Established and streamlined the process of MIS (Business Analysis & Reporting) for 5 clients
in Infosys BPO Ltd.
Continuously received two Individual Extra Miler Award for excellent performance and support
provided to Operations – British Telecom (Infosys BPO Ltd).
Received Team extra miler award for automating agent performance matrix for appraisals and
for generating revenue for the company.
Received Teaming Award from the client (Software reseller client) for customer satisfaction.
Received awards for best performance (TSG).
Received award for the diligence and consistency in the work done.
Successfully completed Reverse Transition for the Software reseller client and also
redeployed 120 employees to different client operations within the organization.
Educational qualifications/Certifications:
Completed Certificate of Management Program from Indian Institute of Management-
Ahmedabad(IIM-A)
Bachelor of Science, Osmania University, Hyderabad
Yellow and Green Belt Trained
Personal Details:
Date of birth: 5th February 1974
Hobbies: Travelling
Languages known: English, Telugu, Hindi.