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 There is no time to wait for long development cycles that produce software that is obsolete at launch.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.
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.
IT professionals are also embracing the reality of Serverless architectures, which are critical to developing and operating real-time applications and services. Serverless is particularly important as enterprises of all sizes develop and deploy Internet of Things (IoT) initiatives. Serverless and Kubernetes are great examples of continuous, rapid pace of change in enterprise IT. They also raise a number of critical issues and questions about employee training, development processes, and operational metrics. There's a real need for serious conversations about Serverless and Kubernetes among the people who are doing this work and managing it. So we are very pleased today to announce the ServerlessSUMMIT at CloudEXPO.
Conor Delanbanque has been involved with building & scaling teams in the DevOps space globally. He is the Head of DevOps Practice at MThree Consulting, a global technology consultancy. Conor founded the Future of DevOps Thought Leaders Debate. He regularly supports and sponsors Meetup groups such as DevOpsNYC and DockerNYC.
Applications with high availability requirements must be deployed to multiple clusters to ensure reliability. Historically, this has been done by pulling nodes from other availability zones into the same cluster. However, if the cluster failed, the application would still become unavailable. Rancher’s support for multi-cluster applications is a significant step forward, solving this problem by allowing users to select the application and the target clusters, providing cluster specific data. Rancher then initiates deployment to those clusters.
StackRox helps enterprises secure their containerized and Kubernetes environments at scale. The StackRox Container Security Platform enables security and DevOps teams to enforce their compliance and security policies across the entire container life cycle, from build to deploy to runtime. StackRox integrates with existing DevOps and security tools, enabling teams to quickly operationalize container and Kubernetes security. StackRox customers span cloud-native startups, Global 2000 enterprises, and government agencies. StackRox is privately held and headquartered in Mountain View, California. To learn more, visit www.stackrox.com and follow us on Facebook, LinkedIn and Twitter.
Platform9, the open-source-as-a-service company making cloud infrastructure easy, today announced the general availability of its Managed Kubernetes service, the industry's first infrastructure-agnostic, SaaS-managed offering. Unlike legacy software distribution models, Managed Kubernetes is deployed and managed entirely as a SaaS solution, across on-premises and public cloud infrastructure. The company also introduced Fission, a new, open source, serverless framework built on Kubernetes. These offerings feature a drastically simplified operational and consumption model that eliminates the steep learning curve currently associated with Kubernetes, and allow DevOps and IT teams to focus on solving core business problems.
With container technologies widely recognized as the cloud-era standard for workload scaling and application mobility, organizations are increasingly seeking to support container-based workflows. In particular, the desire to containerize a diverse spectrum of enterprise applications has highlighted the need for reliable, container-friendly, persistent storage. However, to effectively complement today's cloud-centric container orchestration platforms, persistent storage solutions must blend reliability and scalability with a simple, cloud-native user experience. The introduction of Elastifile's CSI driver addresses these needs by augmenting containerized workflows with highly-available, scalable NFS file storage delivered via Elastifile Cloud File System...and with no complex, manual storage provisioning required.
IT professionals are also embracing the reality of Serverless architectures, which are critical to developing and operating real-time applications and services. Serverless is particularly important as enterprises of all sizes develop and deploy Internet of Things (IoT) initiatives. Serverless and Kubernetes are great examples of continuous, rapid pace of change in enterprise IT. They also raise a number of critical issues and questions about employee training, development processes, and operational metrics. There's a real need for serious conversations about Serverless and Kubernetes among the people who are doing this work and managing it. So we are very pleased today to announce the ServerlessSUMMIT at CloudEXPO.
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. As they do so, IT professionals are also embracing the reality of Serverless architectures, which are critical to developing and operating real-time applications and services. Serverless is particularly important as enterprises of all sizes develop and deploy Internet of Things (IoT) initiatives.
This month @nodexl announced that ServerlessSUMMIT & DevOpsSUMMIT own the world's top three most influential Kubernetes domains which are more influential than LinkedIn, Twitter, YouTube, Medium, Infoworld and Microsoft combined. NodeXL is a template for Microsoft® Excel® (2007, 2010, 2013 and 2016) on Windows (XP, Vista, 7, 8, 10) that lets you enter a network edge list into a workbook, click a button, see a network graph, and get a detailed summary report, all in the familiar environment of the Excel® spreadsheet application. A collection of network maps and reports created with NodeXL can be seen in the NodeXL Graph Gallery, an archive of data sets uploaded by the NodeXL user community.
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.
JFrog, the DevOps technology leader known for enabling liquid software via continuous update flows, was honored today with two prestigious awards as part of DevOps.com's annual DevOps Dozen. The awards recognized both JFrog Artifactory as the "Best DevOps Commercial Solution" and JFrog Co-Founder and CEO, Shlomi Ben Haim, as the "Best DevOps Solution Provider Executive". DevOps.com holds the DevOps Dozen awards annually to recognize the best of the best in the global DevOps marketplace.
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.
With the new Kubernetes offering, ClearDATA solves one of the largest challenges in healthcare IT around time-to-deployment. Using ClearDATA's Automated Safeguards for Kubernetes, healthcare organizations have access to the container orchestration to dynamically deploy new containers on demand, monitor the health of each container for threats and seamlessly roll back faulty application updates to a previous version, avoid system-wide downtime and ensure secure continuous access to patient data.
Emil Sayegh is an early pioneer of cloud computing and is recognized as one of the industry's true veterans. A cloud visionary, he is credited with launching and leading the cloud computing and hosting businesses for HP, Rackspace, and Codero. Emil built the Rackspace cloud business while serving as the company's GM of the Cloud Computing Division. Earlier at Rackspace he served as VP of the Product Group and launched the company's private cloud and hosted exchange services. He later moved on to HP where he served as VP of Cloud Service and initiated the company's public cloud services. In 2012, Emil joined Codero Hosting as Chairman, President, and CEO and led the next generation of cloud computing with the hybrid cloud. In 2015 he led the successful sale of Codero to a consortium of telecom companies.
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.
This month @nodexl announced that ServerlessSUMMIT & DevOpsSUMMIT own the world's top three most influential Kubernetes domains which are more influential than LinkedIn, Twitter, YouTube, Medium, Infoworld and Microsoft combined. NodeXL is a template for Microsoft® Excel® (2007, 2010, 2013 and 2016) on Windows (XP, Vista, 7, 8, 10) that lets you enter a network edge list into a workbook, click a button, see a network graph, and get a detailed summary report, all in the familiar environment of the Excel® spreadsheet application. A collection of network maps and reports created with NodeXL can be seen in the NodeXL Graph Gallery, an archive of data sets uploaded by the NodeXL user community.
In his session at 20th Cloud Expo, Mike Johnston, an infrastructure engineer at Supergiant.io, will discuss how to use Kubernetes to setup a SaaS infrastructure for your business. Mike Johnston is an infrastructure engineer at Supergiant.io with over 12 years of experience designing, deploying, and maintaining server and workstation infrastructure at all scales. He has experience with brick and mortar data centers as well as cloud providers like Digital Ocean, Amazon Web Services, and Rackspace. His expertise is in automating deployment, management, and problem resolution in these environments, allowing his teams to run large transactional applications with high availability and the speed the consumer demands.
Implementation of Container Storage Interface (CSI) for Kubernetes delivers persistent storage for compute running in Kubernetes-managed containers. This future-proofs Kubernetes+Storage deployments. Unlike the Kubernetes Flexvol-based volume plugin, storage is no longer tightly coupled or dependent on Kubernetes releases. This creates greater stability because the storage interface is decoupled entirely from critical Kubernetes components allowing separation of privileges as CSI components do not need full privileges of Kubernetes components. With the implementation of Container Storage Interface (CSI), persistent data layer for Kubernetes and other Container Orchestration (CO) tools, such as Mesos and Docker Swarm are now future-proofed.
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.
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.
Skeuomorphism usually means retaining existing design cues in something new that doesn’t actually need them. However, the concept of skeuomorphism can be thought of as relating more broadly to applying existing patterns to new technologies that, in fact, cry out for new approaches. In his session at DevOps Summit, Gordon Haff, Senior Cloud Strategy Marketing and Evangelism Manager at Red Hat, discussed why containers should be paired with new architectural practices such as microservices rather than mimicking legacy server virtualization workflows and architectures.
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.
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.