Artificial intelligence, machine learning, neural networks. We're in the midst of a wave of excitement around AI such as hasn't been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. This time is (mostly) different. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Pattern recognition can equal or exceed the ability of human experts in some domains. It's developing into an increasingly commercially important technology area. (Although it's also easy to look at wins in specific domains and generalize to an overly-optimistic view of AI writ large.) In this session, Red Hat Technology Evangelist for Emerging Technology Gordon Haff will examine the AI landscape and identify those domains and approaches that have seen genuine advance and why. He'll also discuss some of the specific ways in which both organizations and individuals are getting up to speed with AI today.
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.
To enable their developers, ensure SLAs and increase IT efficiency, Enterprise IT is moving towards a unified, centralized approach for managing their hybrid infrastructure. As if the journey to the cloud - private and public - was not difficult enough, the need to support modern technologies such as Containers and Serverless applications further complicates matters. This talk covers key patterns and lessons learned from large organizations for architecting your hybrid cloud in a way that: Supports self-service, "public cloud" experience for your developers that's consistent across any infrastructure. Gives Ops peace of mind with automated management of DR, scaling, provisioning, deployments, etc.
When you're operating multiple services in production, building out forensics tools such as monitoring and observability becomes essential. Unfortunately, it is a real challenge balancing priorities between building new features and tools to help pinpoint root causes. Linkerd provides many of the tools you need to tame the chaos of operating microservices in a cloud native world. Because Linkerd is a transparent proxy that runs alongside your application, there are no code changes required. It even comes with Prometheus to store the metrics for you and pre-built Grafana dashboards to show exactly what is important for your services - success rate, latency, and throughput.
Docker and Kubernetes are key elements of modern cloud native deployment automations. After building your microservices, common practice is to create docker images and create YAML files to automate the deployment with Docker and Kubernetes. Writing these YAMLs, Dockerfile descriptors are really painful and error prone.Ballerina is a new cloud-native programing language which understands the architecture around it - the compiler is environment aware of microservices directly deployable into infrastructures like Docker and Kubernetes.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.
So you've been hearing a lot of buzz about Serverless tech in conjunction with Containers and Mobile, but what exactly is the serverless or cloud functions in reference to containers? Come find out at this session. Serverless has become the new style of coding, and it might be perfect to offload your mobile apps, and container based systems without incurring unnecessary costs. Get an intro into serverless/function-as-a-service/cloud native technologies in the Mobile-Backend-as-a-Service (MBaaS) context and learn why startups and enterprises are so excited about using it. We will be demoing Serverless and containers in Swift and iOS, and in Java for Android, and covering the following:
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.
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.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.
Every organization has requirements for policy in their environment. Some of these are essential to meet governance, and legal requirements and other are based on learning from past experience and not repeating the same mistakes. These decisions cannot tolerate human response time as they need near a real-time action. Services that are policy enabled to make the organization agile and are essential for long-term success. In this session, we will review Open Policy Agent capabilities and use cases for extending Kubernetes security. We will also demonstrate real-world customer use cases that attendees can implement coming away from this session with the Kubernetes Policy Controller .Attendees will leave understanding why policy driven security is needed for their enterprise Kubernetes deployments . They will also learn about real world actionable use cases to provide enterprise grade security policies.
So you've been hearing a lot of buzz about Serverless tech in conjunction with Containers and Mobile, but what exactly is the serverless or cloud functions in reference to containers? Come find out at this session. Serverless has become the new style of coding, and it might be perfect to offload your mobile apps, and container based systems without incurring unnecessary costs. Get an intro into serverless/function-as-a-service/cloud native technologies in the Mobile-Backend-as-a-Service (MBaaS) context and learn why startups and enterprises are so excited about using it. We will be demoing Serverless and containers in Swift and iOS, and in Java for Android, and covering the following:
In 2017, Docker reached 24% adoption while Lambda reached 23.5% adoption among Amazon Web Services customers. Yet, the adoption rate of serverless and cost savings are dramatically better than what virtual containers can offer. Amazon, Google, and Microsoft are all pushing serverless because it's easier and cheaper for their customers. Also, once apps are built using serverless frameworks, there's a higher switch-over cost to go from one cloud to another. We'll discuss this and also talk about how brand loyalty is something every subscription service is hoping to achieve. Amazon, Google, and Microsoft are strengthening their offerings with serverless in the cloud.
Kubernetes is a new and revolutionary open-sourced system for managing containers across multiple hosts in a cluster. Ansible is a simple IT automation tool for just about any requirement for reproducible environments. In his session at @DevOpsSummit at 18th Cloud Expo, Patrick Galbraith, a principal engineer at HPE, will discuss how to build a fully functional Kubernetes cluster on a number of virtual machines or bare-metal hosts. Also included will be a brief demonstration of running a Galera MySQL cluster as a Kubernetes application.
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.
We at Capgemini have developed a cloud-native PaaS Solution called "Apollo". Apollo is built on top of following open source components. - Apache Mesos for cluster management, scheduling & resource isolation - Marathon or Kubernetes for Container orchestration - Docker for application container runtime, - Consul for service discovery via DNS - Weave for networking of Docker Containers - Traefik for application container load balancing
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.
Cloud computing, big data and AI provide a new impetus and urgency to traditional enterprises to become digitally transformed businesses as they face disruption from new players who leverage technology to foster new business models. Traditionally, enterprises focused on digitizing processes and transactions. The incumbents can also be disruptors by leveraging AI for data-driven insights and innovate at scale on Cloud platform. They need to uncover the power of ERP/SAP using Cloud, AI and Big data to accelerate their journey to become digital businesses. Mobile and digital technologies (barcode, handheld scanners, RFID) have ushered in efficiency and optimization of supply chain processes. AI and ML technologies offer unprecedented capabilities to fully automate or augment human decision-making for achieving higher level of operational efficiency and business agility. This session will discuss applying AI/ML to business use cases in supply chain, retail and customer experience.
In 2017, Docker reached 24% adoption while Lambda reached 23.5% adoption among Amazon Web Services customers. Yet, the adoption rate of serverless and cost savings are dramatically better than what virtual containers can offer. Amazon, Google, and Microsoft are all pushing serverless because it's easier and cheaper for their customers. Also, once apps are built using serverless frameworks, there's a higher switch-over cost to go from one cloud to another. We'll discuss this and also talk about how brand loyalty is something every subscription service is hoping to achieve. Amazon, Google, and Microsoft are strengthening their offerings with serverless in the cloud.
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.
We at Capgemini have developed a cloud-native PaaS Solution called "Apollo". Apollo is built on top of following open source components. - Apache Mesos for cluster management, scheduling & resource isolation - Marathon or Kubernetes for Container orchestration - Docker for application container runtime, - Consul for service discovery via DNS - Weave for networking of Docker Containers - Traefik for application container load balancing
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.
Today, Kubernetes is the defacto standard if you want to run container workloads in a production environment. As we set out to build our next generation of products, and run them smoothly in the cloud, we needed to move to Kubernetes too! In the process of building tools like KubeXray and GoCenter we learned a whole bunch. Join this talk to learn how to get started with Kubernetes and how we got started at JFrog building our new tools. After the session you will know: How we got to Kubernetes (and why we chose it)
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.