While more companies are now leveraging the cloud to increase their level of data protection and management, there are still many wondering “why?”
The answer: the cloud actually brings substantial advancements to the data protection and management table that simply aren’t possible without it. The easiest advantage to envision? Unlimited scalability. If a data protection tool is properly designed, the capacity should automatically expand to meet any customer’s needs. The second advantage: the cloud is the simplest way to centralize the storage of all secondary data sources while also providing unlimited compute that can be used to gain additional insight and business value from that data. Finally, the ability to do automated Disaster Recovery (DR) without maintaining a DR facility is unquestionably a major value of the cloud, and simply isn’t possible otherwise. Join W. Curtis Preston, AKA Mr. Backup, as he explains the benefits of cloud-based data protection and management, how to decide if a cloud-based solution is right for you, and best practices when evaluating data management vendors.
After years of investments and acquisitions, CloudBlue was created with the goal of building the world’s only hyperscale digital platform with an increasingly infinite ecosystem and proven go-to-market services. The result? An unmatched platform that helps customers streamline cloud operations, save time and money, and revolutionize their businesses overnight.
Today, the platform operates in more than 45 countries and powers more than 200 of the world’s largest cloud marketplaces, managing more than 27 million enterprise cloud subscriptions valued at more than $1 billion in revenue.
Today’s workforce is trading their cubicles and corporate desktops in favor of an any-location, any-device work style. And as digital natives make up more and more of the modern workforce, the appetite for user-friendly, cloud-based services grows. The center of work is shifting to the user and to the cloud. But managing a proliferation of SaaS, web, and mobile apps running on any number of clouds and devices is unwieldy and increases security risks. Steve Wilson, Citrix Vice President of Cloud, discusses improving personal productivity with an evolved approach supporting modern workstyles and simplifying IT complexities to deliver the right experience to the right user at the right time, on any device.
When Enterprises started adopting Hadoop-based Big Data environments over the last ten years, they were mainly on-premise deployments. Organizations would spin up and manage large Hadoop clusters, where they would funnel exabytes or petabytes of unstructured data.However, over the last few years the economics of maintaining this enormous infrastructure compared with the elastic scalability of viable cloud options has changed this equation.
The growth of cloud storage, cloud-managed big data environments, and cloud data warehouses like Snowflake, Redshift, BigQuery and Azure SQL DW, have given the cloud its own gravity – pulling data from existing environments.
In this presentation we will discuss this transition, describe the challenges and solutions for creating the data flows necessary to move to cloud analytics, and provide real-world use-cases and benefits obtained through adopting cloud big data environments.
With digital video content creation going viral and assuming the bulk of Internet traffic, how can the deluge of video content be analyzed effectively to derive insights and ROI? After all, video is not only huge in size, but it is complex given various visual, audio and temporal elements. Video summarization (a mechanism for generating a short video summary via key frame analysis or video skimming) has become a popular research topic industry-wide and across academia. Video thumbnail generation and summarization has been developed for years, but deep learning and reinforcement learning is changing the landscape and emerging as the winner for optimal frame selection. Recent advances in Generative Adversarial Networks (GANs) are improving the quality, aesthetics and relevancy of the frames to represent the original videos. Attendees will gain an understanding of the various challenges facing the industry today, emerging AI-powered solutions around video summarization and how unsupervised learning can help deliver video content understanding.
There has been a movement recently about finding security-related issues earlier in the development and deployment pipeline. It’s about catching security issues before things hit the fan. :)In this talk, we will talk about what it means to shift left from the container security point of view. Financial benefits and ROI of the shift left security model. We will also discuss some practical examples and best practices to shift security further left for Kubernetes/containerized environment.
As the world moves towards adopting containers, security remains one of the top concerns for the IT teams. In this talk, we will talk about what has changed with containers in terms of attack surface, and how to secure your fully containerized or hybrid semi-containerized environment.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throughout enterprises of all sizes.
DevOps is a world surrounded by information, starting from a single commit and ending in roll out to production. In this talk, I’ll introduce you to the world of Taboola DevOps data collection, to better understand what goes on under the hood.
The system we’ve developed in-house helps us collect and analyse the entire DevOps process from the very first commit all the way to production.
It provides us a full clear view with a drill-down toolset that helps keep us away from the dark side.
Our KPI’s moved from being abstracted ideas to data driven goals, which we can measure and act upon.
We’re living in a data driven world when all business components are based on our clients action and reaction, why not doing the same thing within our DevOps eco-system?
Knative allows developers not only to address the challenges of using managed services, but also they can jump into the serverless world easier without specific expertise of Linux containers, Kubernetes, or cloud infrastructure platform. But what does this really look like if you’re, say, a Java developer? What’s the full developer experience?In this session, I will walk you through the beauty of Knative, via a live demo, in terms of developing the modern app on Spring Boot, building Linux containers, deploying it superfast, and scaling down to zero automatically along with workloads. In the end, you will feel better how cool Knative is for developers to make it more comfortable, easier, and quicker to run serverless cloud-native apps.
Enterprise computing environments are increasingly complex with employees taking full advantage of mobile and cloud applications to work from a wide range of network environments and physical settings. Cloud-native tools within Azure and other platforms, including familiar faces like SCCM and Intune, can be used to keep your enterprise application stack updated and compliant to industry regulations like PCI-DSS or GDPR. Learn how to implement and automate the tools available within your cloud platform of choice to ensure mobile and desktop users alike are secure, compliant, and functional 100% of the time.