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. This leads to a waste of cloud resources and increased operational overhead.
While a hybrid cloud can ease that transition, designing and deploy that hybrid cloud still offers challenges for organizations concerned about lack of available cloud skillsets within their organization. Managed service providers offer a unique opportunity to fill those gaps and get organizations of all sizes on a hybrid cloud that meets their comfort level, while delivering enhanced benefits for cost, efficiency, agility, mobility, and elasticity.
Signs of a shift in the usage of public clouds are everywhere Previously, as organizations outgrew old IT methods, the natural answer was to try the public cloud approach; however, the public platform alone is not a complete solutionThe move to hybrid, custom, and multi-cloud will become more and more prevalent At the heart of this technology trend exists a custom solution to meet the needs and concerns of these organizations, including compliance, security, and cost issues Blending Service and Deployment Models
Intel is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley. It is the world's second largest and second highest valued semiconductor chip maker based on revenue after being overtaken by Samsung, and is the inventor of the x86 series of microprocessors, the processors found in most personal computers (PCs). Intel supplies processors for computer system manufacturers such as Apple, Lenovo, HP, and Dell. Intel also manufactures motherboard chipsets, network interface controllers and integrated circuits, flash memory, graphics chips, embedded processors and other devices related to communications and computing.
Blockchain has shifted from hype to reality across many industries including Financial Services, Supply Chain, Retail, Healthcare and Government. While traditional tech and crypto organizations are generally male dominated, women have embraced blockchain technology from its inception. This is no more evident than at companies where women occupy many of the blockchain roles and leadership positions. Join this panel to hear three women in blockchain share their experience and their POV on the future of blockchain.
xMatters helps enterprises prevent, manage and resolve IT incidents. xMatters industry-leading Service Availability platform prevents IT issues from becoming big business problems. Large enterprises, small workgroups, and innovative DevOps teams rely on its proactive issue resolution service to maintain operational visibility and control in today's highly-fragmented IT environment. xMatters provides toolchain integrations to hundreds of IT management, security and DevOps tools. xMatters is the primary Service Availability platform trusted by leading global companies and innovative challengers including BMC Software, Credit Suisse, Danske Bank, DXC technology, Experian, Intuit, NVIDIA, Sony Network Interactive, ViaSat and Vodafone. xMatters is headquartered in San Ramon, California and has offices worldwide.
Kubernetes as a Container Platform is becoming a de facto for every enterprise. In my interactions with enterprises adopting container platform, I come across common questions: - How does application security work on this platform? What all do I need to secure? - How do I implement security in pipelines? - What about vulnerabilities discovered at a later point in time? - What are newer technologies like Istio Service Mesh bring to table?In this session, I will be addressing these commonly asked questions that every enterprise trying to adopt an Enterprise Kubernetes Platform needs to know so that they can make informed decisions.
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility.
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.
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.
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.
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.
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:
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.
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.
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.
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)
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation. Extract, transform and load (ETL) tools like AWC Glue bring much needed functionality. This tool enables new approaches to pulling, processing and pushing data from source to target, and introduces concepts such as performing data transformation tasks using SparkSQL scripts in Apache spark environment. However, there are shortcomings with AWS Glue, leading to a number of challenges and questions: