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.
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. That means serverless is also changing the way we leverage public clouds. Truth-be-told, many enterprise IT shops were so happy to get out of the management of physical servers within a data center that many limitations of the existing public IaaS clouds were forgiven. However, now that we've lived a few years with public IaaS clouds, developers and CloudOps pros are giving a huge thumbs down to the constant monitoring of servers, provisioned or not, that's required to support the workloads.
Dito announced the launch of its "Kubernetes Kickoff" application modernization program. This new packaged service offering is designed to provide a multi-phased implementation and optimization plan for leveraging Kubernetes on Google Kubernetes Engine (GKE). Kubernetes, a relatively new layer of the modern cloud stack, is a production-ready platform that allows companies to deploy and manage containerized applications, update with zero downtime, and securely scale their deployments.
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.
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leading global enterprises use Isomorphic technology to reduce costs and improve productivity, developing & deploying sophisticated business applications with unprecedented ease and simplicity.
The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get tailored market studies; and more.
Cloud-Native thinking and Serverless Computing are now the norm in financial services, manufacturing, telco, healthcare, transportation, energy, media, entertainment, retail and other consumer industries, as well as the public sector. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential. DevOpsSUMMIT at CloudEXPO expands the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike.
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.
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.
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.
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.
Take advantage of autoscaling, and high availability for Kubernetes with no worry about infrastructure. Be the Rockstar and avoid all the hurdles of deploying Kubernetes. So Why not take Heat and automate the setup of your Kubernetes cluster? Why not give project owners a Heat Stack to deploy Kubernetes whenever they want to? Hoping to share how anyone can use Heat to deploy Kubernetes on OpenStack and customize to their liking. This is a tried and true method that I've used on my OpenStack clusters and I will share the benefits, bumps along the way and the lessons learned.
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.
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.
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.
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.
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.