The Kubernetes vision is to democratize the building of distributed systems. As adoption of Kubernetes increases, the project is growing in popularity; it currently has more than 1,500 contributors who have made 62,000+ commits. Kubernetes acts as a cloud orchestration layer, reducing barriers to cloud adoption and eliminating vendor lock-in for enterprises wanting to use cloud service providers. Organizations can develop and run applications on any public cloud, such as Amazon Web Services, Microsoft Azure, Red Hat OpenShift and Google Cloud Platform.
Here to help unpack insights into the new era of using containers to gain ease with multi-cloud deployments are our panelists: Matt Baldwin, Founder and CEO at StackPointCloud, based in Seattle; Nic Jackson, Developer Advocate at HashiCorp, based in San Francisco, and Reynold Harbin, Director of Product Marketing at DigitalOcean, based in New York. The discussion is moderated by Dana Gardner, principal analyst at Interarbor Solutions.
If you are part of the cloud development community, you certainly know about “serverless computing,” almost a misnomer. Because it implies there are no servers which is untrue. However the servers are hidden from the developers. This model eliminates operational complexity and increases developer productivity. We came from monolithic computing to client-server to services to microservices to the serverless model. In other words, our systems have slowly “dissolved” from monolithic to function-by-function. Software is developed and deployed as individual functions – a first-class object and cloud runs it for you. These functions are triggered by events that follow certain rules. Functions are written in a fixed set of languages, with a fixed set of programming models and cloud-specific syntax and semantics. Cloud-specific services can be invoked to perform complex tasks. So for cloud-native applications, it offers a new option. But the key question is what should you use it for and why. Amazon’s AWS, as usual, spearheaded this in 2014 with an engine called AWS Lambda. It supports Node, Python, C# and Java. It uses AWS API triggers for many AWS services. IBM offers OpenWhisk as a serverless solution that supports Python, Java, Swift, Node, and Docker. IBM and third parties provide service triggers. The code engine is Apache OpenWhisk. Microsoft provides similar function in its Azure Cloud function. Google cloud function supports Node only and has lots of other limitations. This model of computing is also called “event-driven” or FaaS (Function as a Service). There is no need to manage provisioning and utilization of resources, nor to worry about availability and fault-tolerance. It relieves the developer (or DevOps) from managing scale and operations. Therefore, the key marketing slogans are event-driven, continuous scaling, and pay by usage. This is a new form of abstraction that boils down to function as the granular unit. At the micro-level, serverless seems pretty simple – just develop a procedure and deploy to the cloud. However, there are several implications. It imposes a lot of constraints on developers and brings a load of new complexities plus cloud lock-in. You have to pick one of the cloud providers and stay there, not easy to switch. Areas to ponder are cost, complexity, testing, emergent structure, vendor dependence, etc. Serverless has been getting a lot of attention in the last couple of years. We will wait and see the lessons learned as more developers start deploying it in real-world web applications.
Serverless Computing or Functions as a Service (FaaS) is gaining momentum. Amazon is fueling the innovation by expanding Lambda to edge devices and content distribution network. IBM, Microsoft, and Google have their own FaaS offerings in the public cloud. There are over half-a-dozen open source serverless projects that are getting the attention of developers.
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. In this session, we'll explain what Linkerd provides for you, demo the installation of Linkerd on Kubernetes and debug a real world problem. We will also dig into what functionality you can build on top of the tools provided by Linkerd such as alerting and autoscaling.
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
The KCSP program is a pre-qualified tier of vetted service providers that offer Kubernetes support, consulting, professional services and training for organizations embarking on their Kubernetes journey. The KCSP program ensures that enterprises get the support they're looking for to roll out new applications more quickly and more efficiently than before, while feeling secure that there's a trusted and vetted partner that's available to support their production and operational needs.
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
GCP Marketplace is based on a multi-cloud and hybrid-first philosophy, focused on giving Google Cloud partners and enterprise customers flexibility without lock-in. It also helps customers innovate by easily adopting new technologies from ISV partners, such as commercial Kubernetes applications, and allows companies to oversee the full lifecycle of a solution, from discovery through management.
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 solution. Complaints include unpredictable/escalating costs and mounting security concerns in the public cloud. Ultimately, public cloud adoption can ultimately mean a shift of IT pains instead of a resolution. That's why the 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 enterprise organizations, including compliance, security, and cost issues. The "new normal" of enterprise clients is a world of hybrid and multi-cloud solutions, and it is slowly changing the IT technology landscape. Better tools, better management, and easier adoption are emerging. For instance, such as AWS Outposts and Azure Stack. These are big-time, in-demand technologies in the enterprise space, and as these options evolve, we can expect that additional hybrid solutions and integrations will emerge from the market landscape.
DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE). Rob Hirschfeld’s recent work in Kubernetes operations has led to the conclusion that containers and related platforms have changed the way we should be thinking about DevOps and controlling infrastructure. The rise of Site Reliability Engineering (SRE) is part of that redefinition of operations vs development roles in organizations.
The KCSP program is a pre-qualified tier of vetted service providers that offer Kubernetes support, consulting, professional services and training for organizations embarking on their Kubernetes journey. The KCSP program ensures that enterprises get the support they're looking for to roll out new applications more quickly and more efficiently than before, while feeling secure that there's a trusted and vetted partner that's available to support their production and operational needs.
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.
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.
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.
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.
Public clouds dominate IT conversations but the next phase of cloud evolutions are "multi" hybrid cloud environments. The winners in the cloud services industry will be those organizations that understand how to leverage these technologies as complete service solutions for specific customer verticals. In turn, both business and IT actors throughout the enterprise will need to increase their engagement with multi-cloud deployments today while planning a technology strategy that will constitute a significant part of their IT budgets in the very near future. As IoT solutions are growing rapidly, as well as security challenges growing exponentially, without a doubt, the cloud world is about to change for the better. Again.
GCP Marketplace is based on a multi-cloud and hybrid-first philosophy, focused on giving Google Cloud partners and enterprise customers flexibility without lock-in. It also helps customers innovate by easily adopting new technologies from ISV partners, such as commercial Kubernetes applications, and allows companies to oversee the full lifecycle of a solution, from discovery through management.
10ZiG Technology is a leading provider of endpoints for a Virtual Desktop Infrastructure environment. Our fast and reliable hardware is VMware, Citrix and Microsoft ready and designed to handle all ranges of usage - from task-based to sophisticated CAD/CAM users. 10ZiG prides itself in being one of the only companies whose sole focus is in Thin Clients and Zero Clients for VDI. This focus allows us to provide a truly unique level of personal service and customization that is a rare find in the industry. We offer a multitude of custom embedding options and hardware configurations to ensure our devices are tailor-made to fit seamlessly into the environments of our customers.
Serverless applications increase developer productivity and time to market, by freeing engineers from spending time on infrastructure provisioning, configuration and management. Serverless also simplifies Operations and reduces cost - as the Kubernetes container infrastructure required to run these applications is automatically spun up and scaled precisely with the workload, to optimally handle all runtime requests. Recent advances in open source technology now allow organizations to run Serverless and Kubernetes reliably, at scale, also on on-premises and private cloud infrastructure. The ability to achieve the benefits of Serverless on existing infrastructure - and not having to rely solely on public clouds - has greatly increased the adoption of Serverless across industries, including financial services, IoT, retail, healthcare, and more. Serverless offers an incredible opportunity for business accelerate innovation and reduce operational costs - both for green field applications, as well as for established organizations with legacy applications and technical debt.
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.
Public clouds dominate IT conversations but the next phase of cloud evolutions are "multi" hybrid cloud environments. The winners in the cloud services industry will be those organizations that understand how to leverage these technologies as complete service solutions for specific customer verticals. In turn, both business and IT actors throughout the enterprise will need to increase their engagement with multi-cloud deployments today while planning a technology strategy that will constitute a significant part of their IT budgets in the very near future. As IoT solutions are growing rapidly, as well as security challenges growing exponentially, without a doubt, the cloud world is about to change for the better. Again.
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.
10ZiG Technology is a leading provider of endpoints for a Virtual Desktop Infrastructure environment. Our fast and reliable hardware is VMware, Citrix and Microsoft ready and designed to handle all ranges of usage - from task-based to sophisticated CAD/CAM users. 10ZiG prides itself in being one of the only companies whose sole focus is in Thin Clients and Zero Clients for VDI. This focus allows us to provide a truly unique level of personal service and customization that is a rare find in the industry. We offer a multitude of custom embedding options and hardware configurations to ensure our devices are tailor-made to fit seamlessly into the environments of our customers.
Serverless applications increase developer productivity and time to market, by freeing engineers from spending time on infrastructure provisioning, configuration and management. Serverless also simplifies Operations and reduces cost - as the Kubernetes container infrastructure required to run these applications is automatically spun up and scaled precisely with the workload, to optimally handle all runtime requests. Recent advances in open source technology now allow organizations to run Serverless and Kubernetes reliably, at scale, also on on-premises and private cloud infrastructure. The ability to achieve the benefits of Serverless on existing infrastructure - and not having to rely solely on public clouds - has greatly increased the adoption of Serverless across industries, including financial services, IoT, retail, healthcare, and more. Serverless offers an incredible opportunity for business accelerate innovation and reduce operational costs - both for green field applications, as well as for established organizations with legacy applications and technical debt.