Building a Secure Cloud - Best practices: Data Security, Governance and BCDR

Successful digital transformation is tied to data streams in and out of the enterprise and monetization via new types of services. Data analytics are an inherent element that will power all new apps and automate actions based on real-time data analysis.

In the years ahead, data driven actions will become more and more sophisticated and will augment work activities and support consumers when they shop, trade, and make decisions.

Join this webinar for a discussion of these trends and to understand how with the increasing speed of innovation and the growing scarcity of resources, leveraging adaptable on-demand infrastructure and platforms will grow in importance and become mainstream.

Fraunhofer Institute, a leading German research organization, identified 30% of virtual machines sampled on a leading public cloud were vulnerable to attack due to incorrect configurations by the user. The article further states: "The problem clearly lies in the customers’ unawareness and not in Amazon Web Services." With the long list of existing cloud services and the rapid innovation of new cloud services, how can you make sure to engineer security and reliability into your cloud solutions from the get go?

This session will drill deep on the following topics:

- The key public cloud architecture principles that apply to all workloads
- Architecting for business continuity and how to adjust availability and cost with business seasons
- How to protect your data in the cloud, providing data loss prevention and disaster recovery
- Demo of an enterprise class business solution in the public cloud


Frank Stienhans is an early cloud adopter and CTO of Ocean9. He is fluent on both Azure and AWS and concepts and examples will cover both clouds.

The majority of big data technologies emphasizes the technical significance of new concepts like clustered file systems or in-memory computing. While such technologies are highly relevant for certain big data aspects, they obscure a holistic look at the overall needs for data management and data lifecycle in accordance with the business use case.

With the Data Lake, this is different: Semantically grouped managed data objects are at the heart of this new paradigm, with a variety of technologies supporting it.

With all the talk about the unimaginable growth of data, lets make data and its elements the core of our future architecture.

Join this webinar to understand key data lake concepts as well as best practices on how to get started.

Experts agree, companies and their IT departments will be living in a hybrid world for many years to come. While cloud as the de facto default for deployment will become the standard soon, most organizations will retain a group of applications on-premise out of a variety of reasons: LIfecycle or age of the infrastructure and application asset, technical specifics making a migration challenging or lastly security concerns in highly regulated industries or in core areas of a company.

This means that IT Ops will have to evolve from being an expert in several technologies and applications to being an orchestrator and facilitator of a changing variety of resources spanning on-premise as well as one to several public clouds.

Join this webinar to understand how to respond to ongoing cloud migration in a hybrid cloud world across the three dimensions of (1) leadership and management, (2) process and policy, and (3) tools and systems.

The adoption and popularity of containerized applications has exploded in recent years. According to Gartner, more than 50% of new workloads will be deployed in containers by 2018.

But where does that leave the other 50%? How are virtual machines measuring up and how will applications built on these infrastructures survive the digital transformation caused by Docker and other container platforms?

Join this expert panel discussion with Fabio Gomez, Cloud Solution Architect- CASE, IBM, Tarak Modi, President & CTO of TekNirvana, Swen Conrad, CEO of Ocean9, and Phil Mullan, Head of Engineering at Huddle, to discuss which IT infrastructure makes the most sense for your business in the digital age, and the pros and cons of different operating systems.

Hardware Virtualization and Cloud Computing allowed us to increase Resource Utilization and increase our flexibility to respond to business demand. Docker Containers are the next quantum leap - Are they?!

Databases always represented an additional set of challenges unique to running workloads requiring a maximum of I/O, network, CPU resources combined with data locality.

In this session we will walk you through the following:

- Characteristics, performance, value, architecture and operations of database containers
- A demo on how a traditional application like SAP and SAP HANA can be fully containerized.
- A live demo to prove the concepts and results will feature a database of 1.2 billion rows of data.

This session is not to be missed.

IoT is at the core or many Digital Transformation initiatives with the goal of re-inventing a company's business model. We all agree that collecting relevant IoT data will result in massive amounts of data needing to be stored. However, with the rapid development of IoT devices and ongoing business model transformation, we are not able to predict the volume and growth of IoT data. And with the lack of IoT history, traditional methods of IT and infrastructure planning based on the past do not apply either.

Understand key cloud concepts and how they enable your successful IoT initiative providing flexibility and elasticity to your IT infrastructure in a highly secure fashion.

Join this webinar to understand how the two trends of cloud and IoT are better together.

The industry is abuzz about containers, microservices and hybrid/multi-cloud environments, leaving many asking “What about my existing applications that live on-premises?” This question is top of mind for IT leaders looking to modernize their applications. The challenge is that “modernization” is usually a code word that means costly, complex and time-consuming — but it doesn’t have to be this way!

Join this webinar to explore the “Easy Button” solution for modernizing traditional applications. And it’s not just talk. We’ll do a hands on demo using applications like SAP Hybris multi-channel commerce. You will learn:

- HOW: Your traditional applications can benefit from containers and cloud infrastructure.
- WHY: You can realize significant benefits without disrupting your business.
- WOW: See a containerized SAP Hybris on a containerized SAP HANA in action, live!

We will present and demo for 25 - 30 min max, leaving ample time for your questions. Also, we will give away three high value pilots for qualified attendees.

The teams at Microsoft, SUSE and Ocean9 have joined forces to demonstrate how their combined cloud-native SAP-as-a-Service offering for SAP HANA and S/4HANA revolutionizes your SAP service delivery, agility, and economics. Here is what you will learn:

- Understand the broad range of certified SAP infrastructure provided Microsoft Azure.
- How SUSE Linux is quickly becoming the default Linux open source operating system on Azure.
- How Ocean9 provisions highly secure, and available high-performance SAP-as-a-Service solutions in minutes.

Hardware Virtualization and Cloud Computing allowed us to increase Resource Utilization and increase our flexibility to respond to business demand. Docker Containers are the next quantum leap - Are they?!

Databases always represented an additional set of challenges unique to running workloads requiring a maximum of I/O, network, CPU resources combined with data locality.

In this session we will walk you through characteristics, performance, value, architecture and operations of heavy containers. Additionally, a short live demo to prove the concepts and results will feature a database of 1.2 billion rows of data.

A group of researchers from the University of Massachusetts Amherst and AT&T Labs stated: “… [that] running DR services using public cloud shown[ed] cost reductions of up to 85% … .”

Join this webinar by SUSE and Ocean9 to understand how to leverage public cloud like Amazon Web Services or Microsoft Azure for delivering Disaster Recovery as-a-Service (DRaaS) and achieving such infrastructure cost savings. We will cover both DRaaS concepts as well as show an actual cloud service implementation for a demanding enterprise class workload with SAP HANA.

8 years after this quote was published by the team of researchers, now it is prime time to leverage leading public cloud capabilities in the enterprise.

Per Forrester Research, "Today's APM system does an adequate job finding performance issues, but leaves businesses in the dark on how to fix those problems".

Learn about the importance of Digital Performance Management (DPM) and how it aligns performance management efforts with customer and business needs. After a brief overview of DPM, we will apply the concept to an SAP HANA Big Data workload with 1.2 Billion records, simulate a variety of performance issues and mitigate them in real time by simply provisioning more SAP HANA cloud resources via scaling up the system in real-time.

Join this webinar to understand the "state of the art" in enterprise cloud services DevOps processes and procedures.

With the growing implementation of IoT solutions resulting in ongoing streams of data, the data lake concept provides the right amount of rigor, without limiting flexibility as well as broad and open usability in a nevertheless governed fashion. Especially, if implemented in the cloud, the lake will scale with your business, providing you analytics performance when and where you need it.

Understand the key concepts and considerations of a modern data lake architecture and how it differs from a traditional data warehouse. The session will cover data ingestion, lineage, data tiering with solutions like SAP HANA, data aging, meta data management and governance.

Join this session to get a head start on one of the newest and most relevant technology trends in 2017.

Significant business opportunity and value is created w/in our increasingly connected Digital World. The upside is tremendous! – But wait a minute, what about business continuity and security? And how do I stay nimble?

Securing processes that span from sensors to corporate systems in an always on world, is a formidable challenge. Point solutions are not enough. Intelligent and automated business continuity, disaster recovery and security solutions are a must to keep up with the digital processes that are changing rapidly.

This webinar will highlight leading architectures and approaches for Cloud Security as well as BCDR.

Past infrastructures provided compute, storage and network enabling static enterprise deployments which changed every few years. This talk will analyze the consequences of a world where production SAP and Spark clusters including data can be provisioned in minutes with the push of a button.

What does it mean for the IT architecture of an enterprise? How to stay in control in a super agile world?

Gartner predicts that “analytics will be pervasive … for decisions and actions across the business.” Sounds like analytics nirvana with instant access for any analysis you want to do, in other words self-service BI. Is this dream or reality?

Join this webinar to find out how clouds like AWS or Azure are moving the industry close to this nirvana today through simple assembly of cloud services combined with the appropriate consumption model of these services.

We will demonstrate how easy it is to provision your high end SAP HANA Database right next to your BI Analytics tier.

Maybe we are closer to this nirvana than you think?

Both production and non-production landscapes are massively effected by the rewritten laws of physics in the cloud.

One opportunity of Cloud Native Enterprise Architectures is to redefine the approaches to Business Continuity and Disaster Recovery.

Using SAP workloads on AWS as example we will show how and why enterprises run different than before and how Disaster Recovery needs accelerate all in migrations to the cloud.

Leading companies derive big data technology choices from business needs instead of technology merits. With the variety of possible use cases, either Hadoop, Spark or SAP HANA may provide the best fit to solve business challenges and create value.

Sounds easy, but managing a variety of big data solutions within a single company puts a skills and cost premium on the organization.

This session will guide you to the right big data technology according to business needs and highlights the fastest path to adoption.