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.

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.

Between the mockups and specs produced by analysts, and resulting applications built by developers, there exists a gulf where projects fail,...

In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights a...

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.

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 ...

Today most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall. As with most new architectures, this dream takes significant work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reduction in cost and increase in speed. Sometimes in order to reduce complexity teams compromise features ...

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 ...

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.

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.

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...

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 ...

Docker is sweeping across startups and enterprises alike, changing the way we build and ship applications. It's the most prominent and widely known software container platform, and it's particularly useful for eliminating common challenges when collaborating on code (like the "it works on my machine" phenomenon that most devs know all too well). With Docker, you can run and manage apps side-by-side - in isolated containers - resulting in better compute density. It's something that many developers don't think about, but you can even use Docker with ASP.NET.

With the rise of Docker, Kubernetes, and other container technologies, the growth of microservices has skyrocketed among dev teams looking to innovate on a faster release cycle. This has enabled teams to finally realize their DevOps goals to ship and iterate quickly in a continuous delivery model. Why containers are growing in popularity is no surprise — they’re extremely easy to spin up or down, but come with an unforeseen issue. However, without the right foresight, DevOps and IT teams may lose a lot of visibility into these containers resulting in operational blind spots and even more hays...