Click here to close now.




















Welcome!

Microservices Expo Authors: Liz McMillan, Tom Lounibos, Pat Romanski, Lori MacVittie, Elizabeth White

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.

@MicroservicesExpo Stories
"We've just seen a huge influx of new partners coming into our ecosystem, and partners building unique offerings on top of our API set," explained Seth Bostock, Chief Executive Officer at IndependenceIT, in this SYS-CON.tv interview at 16th Cloud Expo, held June 9-11, 2015, at the Javits Center in New York City.
This week, I joined SOASTA as Senior Vice President of Performance Analytics. Given my background in cloud computing and distributed systems operations — you may have read my blogs on CNET or GigaOm — this may surprise you, but I want to explain why this is the perfect time to take on this opportunity with this team. In fact, that’s probably the best way to break this down. To explain why I’d leave the world of infrastructure and code for the world of data and analytics, let’s explore the timing...
SYS-CON Events announced today that HPM Networks will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. For 20 years, HPM Networks has been integrating technology solutions that solve complex business challenges. HPM Networks has designed solutions for both SMB and enterprise customers throughout the San Francisco Bay Area.
One of the ways to increase scalability of services – and applications – is to go “stateless.” The reasons for this are many, but in general by eliminating the mapping between a single client and a single app or service instance you eliminate the need for resources to manage state in the app (overhead) and improve the distributability (I can make up words if I want) of requests across a pool of instances. The latter occurs because sessions don’t need to hang out and consume resources that could ...
You often hear the two titles of "DevOps" and "Immutable Infrastructure" used independently. In his session at DevOps Summit, John Willis, Technical Evangelist for Docker, covered the union between the two topics and why this is important. He provided an overview of Immutable Infrastructure then showed how an Immutable Continuous Delivery pipeline can be applied as a best practice for "DevOps." He ended the session with some interesting case study examples.
The Software Defined Data Center (SDDC), which enables organizations to seamlessly run in a hybrid cloud model (public + private cloud), is here to stay. IDC estimates that the software-defined networking market will be valued at $3.7 billion by 2016. Security is a key component and benefit of the SDDC, and offers an opportunity to build security 'from the ground up' and weave it into the environment from day one. In his session at 16th Cloud Expo, Reuven Harrison, CTO and Co-Founder of Tufin,...
Approved this February by the Internet Engineering Task Force (IETF), HTTP/2 is the first major update to HTTP since 1999, when HTTP/1.1 was standardized. Designed with performance in mind, one of the biggest goals of HTTP/2 implementation is to decrease latency while maintaining a high-level compatibility with HTTP/1.1. Though not all testing activities will be impacted by the new protocol, it's important for testers to be aware of any changes moving forward.
JavaScript is primarily a client-based dynamic scripting language most commonly used within web browsers as client-side scripts to interact with the user, browser, and communicate asynchronously to servers. If you have been part of any web-based development, odds are you have worked with JavaScript in one form or another. In this article, I'll focus on the aspects of JavaScript that are relevant within the Node.js environment.
Alibaba, the world’s largest ecommerce provider, has pumped over a $1 billion into its subsidiary, Aliya, a cloud services provider. This is perhaps one of the biggest moments in the global Cloud Wars that signals the entry of China into the main arena. Here is why this matters. The cloud industry worldwide is being propelled into fast growth by tremendous demand for cloud computing services. Cloud, which is highly scalable and offers low investment and high computational capabilities to end us...
Learn how to solve the problem of keeping files in sync between multiple Docker containers. In his session at 16th Cloud Expo, Aaron Brongersma, Senior Infrastructure Engineer at Modulus, discussed using rsync, GlusterFS, EBS and Bit Torrent Sync. He broke down the tools that are needed to help create a seamless user experience. In the end, can we have an environment where we can easily move Docker containers, servers, and volumes without impacting our applications? He shared his results so yo...
Auto-scaling environments, micro-service architectures and globally-distributed teams are just three common examples of why organizations today need automation and interoperability more than ever. But is interoperability something we simply start doing, or does it require a reexamination of our processes? And can we really improve our processes without first making interoperability a requirement for how we choose our tools?
Cloud Migration Management (CMM) refers to the best practices for planning and managing migration of IT systems from a legacy platform to a Cloud Provider through a combination professional services consulting and software tools. A Cloud migration project can be a relatively simple exercise, where applications are migrated ‘as is’, to gain benefits such as elastic capacity and utility pricing, but without making any changes to the application architecture, software development methods or busine...
The Internet of Things. Cloud. Big Data. Real-Time Analytics. To those who do not quite understand what these phrases mean (and let’s be honest, that’s likely to be a large portion of the world), words like “IoT” and “Big Data” are just buzzwords. The truth is, the Internet of Things encompasses much more than jargon and predictions of connected devices. According to Parker Trewin, Senior Director of Content and Communications of Aria Systems, “IoT is big news because it ups the ante: Reach out ...
At DevOps Summit NY there’s been a whole lot of talk about not just DevOps, but containers, IoT, and microservices. Sessions focused not just on the cultural shift needed to grow at scale with a DevOps approach, but also made sure to include the network ”plumbing” needed to ensure success as applications decompose into the microservice architectures enabling rapid growth and support for the Internet of (Every)Things.
Our guest on the podcast this week is Adrian Cockcroft, Technology Fellow at Battery Ventures. We discuss what makes Docker and Netflix highly successful, especially through their use of well-designed IT architecture and DevOps.
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at @ThingsExpo, James Kirkland, Red Hat's Chief Arch...
Digital Transformation is the ultimate goal of cloud computing and related initiatives. The phrase is certainly not a precise one, and as subject to hand-waving and distortion as any high-falutin' terminology in the world of information technology. Yet it is an excellent choice of words to describe what enterprise IT—and by extension, organizations in general—should be working to achieve. Digital Transformation means: handling all the data types being found and created in the organizat...
Public Cloud IaaS started its life in the developer and startup communities and has grown rapidly to a $20B+ industry, but it still pales in comparison to how much is spent worldwide on IT: $3.6 trillion. In fact, there are 8.6 million data centers worldwide, the reality is many small and medium sized business have server closets and colocation footprints filled with servers and storage gear. While on-premise environment virtualization may have peaked at 75%, the Public Cloud has lagged in adop...
MuleSoft has announced the findings of its 2015 Connectivity Benchmark Report on the adoption and business impact of APIs. The findings suggest traditional businesses are quickly evolving into "composable enterprises" built out of hundreds of connected software services, applications and devices. Most are embracing the Internet of Things (IoT) and microservices technologies like Docker. A majority are integrating wearables, like smart watches, and more than half plan to generate revenue with ...
Rapid innovation, changing business landscapes, and new IT demands force businesses to make changes quickly. The DevOps approach is a way to increase business agility through collaboration, communication, and integration across different teams in the IT organization. In his session at DevOps Summit, Chris Van Tuin, Chief Technologist for the Western US at Red Hat, will discuss: The acceleration of application delivery for the business with DevOps