Serverless Architecture is the new paradigm shift in cloud application development. It has potential to take the fundamental benefit of cloud platform leverage to another level.
«Focus on your application code, not the infrastructure»
All the leading cloud platform provide services to implement Serverless architecture : AWS Lambda, Azure Functions, Google Cloud Functions, IBM Openwhisk, Oracle Fn Project.
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.
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.
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.
The vast majority of organizations today are in the earliest stages of AI initiatives and this shift will be dramatic as more enterprises move forward in the AI journey. Although companies are at different stages of this journey, most agree that finding or developing analytic talent is a key concern and bottleneck for doing more. What if your business could take advantage of the most advanced ML/AI models without the huge upfront time and investment inherent in building an internal ML/AI data scientist team?
In this presentation, I will introduce the pros and cons of three pathways: 1. Utilize prepackage ML APIs, 2. Customizable AutoML, 3. Training your your ML models specifically tailored to your business needs. To win with Cloud ML, you will need to know how to choose a right approach in a quicker time frame and without significant investment.
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.
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.
In today’s always-on world, customer expectations have changed. Competitive differentiation is delivered through rapid software innovations, the ability to respond to issues quickly and by releasing high-quality code with minimal interruptions. DevOps isn’t some far off goal; it’s methodologies and practices are a response to this demand. The demand to go faster. The demand for more uptime. The demand to innovate. In this keynote, we will cover the Nutanix Developer Stack. Built from the foundation of software-defined infrastructure, Nutanix has rapidly expanded into full application lifecycle management across any infrastructure or cloud .Join us as we delve into how the Nutanix Developer Stack makes it easy to build hybrid cloud applications by weaving DBaaS, micro segmentation, event driven lifecycle operations, and both financial and cloud governance together into a single unified stack.
Using serverless computing has a number of obvious benefits over traditional application infrastructure – you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all.
However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Longer function invocation times (referred to as cold starts) become very important to track, because they impact the response time of the service and will impose additional cost. Additionally, the transition to smaller individual components (much like breaking a monolithic application into microservices) results in a simpler deployment model, but makes the system as a whole increasingly complex.
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.