Welcome!

@CloudExpo Authors: Elizabeth White, Pat Romanski, Liz McMillan, Yeshim Deniz, Aruna Ravichandran

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Linux Containers, Cloud Security, @BigDataExpo

@CloudExpo: Blog Feed Post

Four Great Tips: Cloud Security for Big Data

The combination of cloud computing and big data is a match made in heaven

The combination of cloud computing and big data is a match made in heaven. Big data requires a flexible compute environment, which can scale quickly and automatically to support massive amounts of data. Infrastructure clouds provide exactly that. But whenever cloud computing is discussed, the question comes up:

cloud security best practices Cloud Security big data  big data news cloud security 4 Great Tips: Cloud Security for Big Data

What about cloud security for big data?

When it comes to cloud security in a big data use case, the expectation is that any security solution will provide the same flexibility as the cloud without compromising the overall security of the implementation. When taking your big data to the cloud, the following four tips will enable you to achieve cloud flexibility paired with strict cloud security.

1.  Encrypt sensitive data (seriously)

Data encryption creates the “virtual walls” for your cloud infrastructure. Deploying cloud encryption is considered a fundamental first step, but there is no solution with a “one size fits all” approach. Some encryption solutions require on premise gateway encryption, which does not work well in cloud big-data scenarios.  Other approaches (for example, data encryption powered by the cloud provider itself) force the end user to trust someone else with the encryption keys, which is both risky and a compliance deal-breaker.

Recent encryption technologies, like split-key encryption, are tailored specifically to the cloud and leverage the best of both worlds by providing an infrastructure cloud solution while keeping the encryption keys safe and in the hands of the customer.

To achieve the best possible encryption for your big data scenario, use split-key encryption.

2. Look for cloud security solutions that can architecturally scale

In big data, each component of the architecture should scale, and the cloud security solution is no different. When selecting a cloud security solution, make sure it is available across all relevant cloud geo-locations. Furthermore, it must scale effectively with your big data infrastructure.

On the surface level, this means, of course, that hardware cannot be involved.  Hardware Security Modules (HSMs) do not fit the big data use case because of the inability to scale and flex to fit the cloud model.

To achieve the necessary scalability, use a cloud security solution that is designed for the cloud, but achieves security that is comparable to (or better than) hardware-based solutions.

3. Automate as much as possible

Big data cloud computers are frustrated from the fact that their cloud security architecture does not easily scale (see tip #2). Traditional encryption solutions require an HSM (hardware) element. Needless to say, hardware implementation cannot be automated.

To be able to automate as much of your cloud security as possible, strive for a virtual appliance approach, not a hardware approach.  Also, make sure that a usable API (ideally a RESTful API) is available as part of the cloud security offering.

A virtual appliance plus RESTful API will enable the required flexibility and automation needed in a cloud big data use case.

4. Do not compromise on data security

Because cloud security is often complicated, we see “security shortcuts” in big data implementations. Security shortcuts are usually taken to avoid complexity and maintain the big data architecture “unharmed.”

Some customers use freeware encryption tools and keep the encryption key on disk (which is highly insecure and may expose the encrypted data to anyone with access to the virtual disk), while others simply do not encrypt. These shortcuts are certainly not complicated, but, obviously, they are also not secure.

When it comes to big data security, map your data according to its sensitivity and protect it accordingly. In some cases, the consequences are dramatic. Not all big data infrastructure is secure, and one might need to find an alternative, if the data at stake is regulated or sensitive.

Cloud security for big data is available

Big data can continue to enjoy the scalability, flexibility, and automation offered by cloud computing while maintaining the strictest security standards for the data.  Encryption is considered a fundamental first step in protecting cloud (big) data, and new technologies such as split-key encryption and homomorphic key management should be leveraged to protect sensitive data and comply with regulations like HIPAA, PCI, and many others.

The post 4 Great Tips: Cloud Security for Big Data appeared first on Porticor Cloud Security.

Read the original blog entry...

More Stories By Gilad Parann-Nissany

Gilad Parann-Nissany, Founder and CEO at Porticor is a pioneer of Cloud Computing. He has built SaaS Clouds for medium and small enterprises at SAP (CTO Small Business); contributing to several SAP products and reaching more than 8 million users. Recently he has created a consumer Cloud at G.ho.st - a cloud operating system that delighted hundreds of thousands of users while providing browser-based and mobile access to data, people and a variety of cloud-based applications. He is now CEO of Porticor, a leader in Virtual Privacy and Cloud Security.

@CloudExpo Stories
The session is centered around the tracing of systems on cloud using technologies like ebpf. The goal is to talk about what this technology is all about and what purpose it serves. In his session at 21st Cloud Expo, Shashank Jain, Development Architect at SAP, will touch upon concepts of observability in the cloud and also some of the challenges we have. Generally most cloud-based monitoring tools capture details at a very granular level. To troubleshoot problems this might not be good enough.
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
Data scientists must access high-performance computing resources across a wide-area network. To achieve cloud-based HPC visualization, researchers must transfer datasets and visualization results efficiently. HPC clusters now compute GPU-accelerated visualization in the cloud cluster. To efficiently display results remotely, a high-performance, low-latency protocol transfers the display from the cluster to a remote desktop. Further, tools to easily mount remote datasets and efficiently transfer...
The dynamic nature of the cloud means that change is a constant when it comes to modern cloud-based infrastructure. Delivering modern applications to end users, therefore, is a constantly shifting challenge. Delivery automation helps IT Ops teams ensure that apps are providing an optimal end user experience over hybrid-cloud and multi-cloud environments, no matter what the current state of the infrastructure is. To employ a delivery automation strategy that reflects your business rules, making r...
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, will discuss how given the magnitude of today's applicati...
In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework. It’s clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. Tha...
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, will lead you through the exciting evolution of the cloud. He'll look at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering ...
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder. Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. Thi...
We all know that end users experience the Internet primarily with mobile devices. From an app development perspective, we know that successfully responding to the needs of mobile customers depends on rapid DevOps – failing fast, in short, until the right solution evolves in your customers' relationship to your business. Whether you’re decomposing an SOA monolith, or developing a new application cloud natively, it’s not a question of using microservices – not doing so will be a path to eventual b...
SYS-CON Events announced today that Taica will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. TAZMO technology and development capabilities in the semiconductor and LCD-related manufacturing fields are among the best worldwide. For more information, visit https://www.tazmo.co.jp/en/.
SYS-CON Events announced today that TidalScale will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. TidalScale is the leading provider of Software-Defined Servers that bring flexibility to modern data centers by right-sizing servers on the fly to fit any data set or workload. TidalScale’s award-winning inverse hypervisor technology combines multiple commodity servers (including their ass...
SYS-CON Events announced today that Avere Systems, a leading provider of hybrid cloud enablement solutions, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Avere Systems was created by file systems experts determined to reinvent storage by changing the way enterprises thought about and bought storage resources. With decades of experience behind the company’s founders, Avere got its ...
Microsoft Azure Container Services can be used for container deployment in a variety of ways including support for Orchestrators like Kubernetes, Docker Swarm and Mesos. However, the abstraction for app development that support application self-healing, scaling and so on may not be at the right level. Helm and Draft makes this a lot easier. In this primarily demo-driven session at @DevOpsSummit at 21st Cloud Expo, Raghavan "Rags" Srinivas, a Cloud Solutions Architect/Evangelist at Microsoft, wi...
The next XaaS is CICDaaS. Why? Because CICD saves developers a huge amount of time. CD is an especially great option for projects that require multiple and frequent contributions to be integrated. But… securing CICD best practices is an emerging, essential, yet little understood practice for DevOps teams and their Cloud Service Providers. The only way to get CICD to work in a highly secure environment takes collaboration, patience and persistence. Building CICD in the cloud requires rigorous ar...
Containers are rapidly finding their way into enterprise data centers, but change is difficult. How do enterprises transform their architecture with technologies like containers without losing the reliable components of their current solutions? In his session at @DevOpsSummit at 21st Cloud Expo, Tony Campbell, Director, Educational Services at CoreOS, will explore the challenges organizations are facing today as they move to containers and go over how Kubernetes applications can deploy with lega...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, will provide a fun and simple way to introduce Machine Leaning to anyone and everyone. Together we will solve a machine learning problem and find an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intellige...
Today most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall. As with most new architectures, this dream takes significant work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reducti...
As hybrid cloud becomes the de-facto standard mode of operation for most enterprises, new challenges arise on how to efficiently and economically share data across environments. In his session at 21st Cloud Expo, Dr. Allon Cohen, VP of Product at Elastifile, will explore new techniques and best practices that help enterprise IT benefit from the advantages of hybrid cloud environments by enabling data availability for both legacy enterprise and cloud-native mission critical applications. By rev...
SYS-CON Events announced today that Ryobi Systems will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Ryobi Systems Co., Ltd., as an information service company, specialized in business support for local governments and medical industry. We are challenging to achive the precision farming with AI. For more information, visit http:...