We’re thrilled to share the news that leading global research and advisory firm Forrester Research has named Google Cloud a Leader in the recently published report The Forrester Wave^TM: Public Cloud Container Platforms, Q1 2022. Forrester evaluated the container and cloud-native offerings of a select group of top public cloud container platform vendors across 29 comprehensive criteria. 

We are proud that Forrester evaluated the strength and cohesion of our offerings, including Google Kubernetes Engine (GKE), Cloud Run, Anthos, Cloud Build, Cloud Deploy, Cloud Code and more, writing that, “Google Cloud is the best fit for firms that want extensive cutting-edge cloud-native capabilities for distributed workloads spanning public cloud, private cloud, and multicloud environments.” 

Google Cloud received the highest possible scores in the criteria of service and application catalogs, microservice development support, service mesh support, serverless and FaaS support, DevOps automation, container image support, control plane configuration, hybrid cloud support, container networking, product vision, supporting products and services, market approach, revenue, and breadth of offering. We also achieved the highest score in the Strategy category of all the vendors evaluated.

Google Cloud is all-in on containers and cloud native 

The cloud-native tools and technologies created by Google Cloud are already powering the most innovative, scalable and secure apps around the world, from the most exciting digital natives to the most important enterprise industry leaders. Why? Cloud native means building and running modern apps that intentionally take advantage of the global scale, pervasive automation, elastic infrastructure, and secure resiliency of the public cloud. 

For enterprises, cloud native in practice means using containers, Kubernetes, serverless, and DevOps automation to build amazing customer-facing apps quickly, to modernize existing business-critical apps safely, and to operate them all on cost-efficient, powerful, and secure cloud infrastructure globally.Over the past decade, Google Cloud’s technology innovation has fueled various domains of the cloud native ecosystem, such as Kubernetes and Go languages as the foundation, Istio for service mesh, Kubeflow for machine learning, Knative for serverless, and Tekton for CI/CD. Long-term investment and practices in cloud-native power its superior product vision and excellent supporting products and services.The Forrester Wave: Public Cloud Container Platforms, Q1 2022

Dedicated to simplicity, speed, and scale for your modern apps

Our mission is to create, integrate, scale, and secure the best open source and commercial cloud-native technologies – backed by a consistent cloud control plane – so you can spend more time dreaming of ways to delight your customers and less time building and operating platforms. We are committed to leading in cloud-native open source communities and making containers and Kubernetes accessible to everyone, from everywhere. 

Here are a few recent highlights across our container services and tools, aimed at helping you build and modernize your most important apps with cloud native:

The most scalable fully managed Kubernetes service, Google Kubernetes Engine (GKE), achieved an overall solution score of 92 out of 100 in Gartner’s Solution Scorecard. In 2021, we introduced GKE Autopilot, a fully managed, security-hardened Kubernetes service optimized for production workloads. This unique mode of operation allows you to focus on your workloads while Google manages your cluster infrastructure. There’s nothing else like it. Then, we made GKE apps even faster with GKE image streaming. With proven scalability to 15K nodes in a single cluster and innovations such as four-way autoscaling, node auto-upgrades, integrated logging and metrics, cost optimization insights, native backup and restore, and multi-instance GPUs to accelerate machine learning workloads, GKE remains the best choice in managed Kubernetes services.

With Cloud Run, we expanded the range of users who benefit from containers to those who don’t know much about them. Introduced in 2019, Cloud Run combines the serverless attributes of autoscaling and developer experience with the flexibility of containers. Developers can use any language, runtime or binary, and deploy code using buildpacks to automatically build container images from source without worrying about provisioning machines and clusters. Cloud Run goes beyond FaaS and beyond earlier generations of serverless computing. Cloud Run runs more legacy workloads, integrates with Cloud Build for secure and compliant builds, offers deeper cost controls and billing flexibility, and encourages portability. We added support for social feeds, collaborative editing, and multiplayer games that use bidirectional streaming. Minimum instances reduce cold-start delays so you can run more latency-sensitive applications. And recently, we launched support for network file systems, allowing developers to share and persist data between multiple containers and services.

Anthos is at the heart of the Google Distributed Cloud, a portfolio of software and hardware solutions announced in 2021 that extend Google’s container platform services to the data center and the edge. Anthos is how we extend GKE to wherever you need cloud-native apps. Manage clusters on-premises on bare metal and VMware-virtualized servers, on AWS and Azure, and at the edge – all with a Google Cloud-backed control plane for consistent, automated operations at scale. We added a hosted service for configuration management to keep all your clusters in sync, and trimmed our installation footprint and streamlined cluster management with a new multi-cloud API that enables you to use a single API for full lifecycle management of Anthos Kubernetes clusters in AWS or Azure.

Finally, since no public cloud container platform is complete without powerful DevOps tools, we expanded our CI/CD offerings to make your developers even more productive, wherever they build and deploy cloud native apps. Use Cloud Code and Cloud Shell as your go-to cloud-native IDEs. Cloud Build is a fully managed serverless DevOps automation platform for use cases spanning CI/CD, Infrastructure-as-Code, AI/MLOps, and more, across infrastructure GKE, Cloud Run, Cloud Functions and more. Google Cloud Deploy is a fully managed continuous delivery service that provides one-click release promotion and roll-backs, built-in metrics, and out-of-the-box security. Artifact Registry and Container Analysis provide managed artifact repositories, vulnerability scanning, and help secure the software supply chain.Google Cloud has a solid cloud-native innovation roadmap, targeting simplicity at scale for enterprise clients.The Forrester Wave: Public Cloud Container Platforms, Q1 2022

We are delighted and humbled to be recognized as a Leader in public cloud container platforms by Forrester. Grab your copy of The Forrester Wave^TM: Public Cloud Container Platforms, Q1 2022 today and let us know how we can help you build and modernize your most important apps how you want and where you want.

Every tech company and growing startup faces pressure to make efficient use of technical talent. Increasingly, this means determining if and how the cloud can help this talent focus on things like product development instead of IT overhead. These challenges are the starting place for our new whitepaper “The future of infrastructure will be containerized,” which is informed by our work with tech companies and startups who’ve chosen Google Cloud across a range of industries, from healthcare and manufacturing to software, fintech and e-commerce. 

For example, if your tech company or startup is in the cloud but spends lots of resources on custom tooling and maintenance, you’re almost certainly under-leveraging what the cloud can do. You might also be locking yourself into an architecture that won’t let you easily adapt or change things as your needs evolve.

The whitepaper examines these challenges to growth and explains how tech companies and startups can use managed container platforms in the cloud to maximize developer efficiency, accelerate time to market, and eliminate IT management that doesn’t help differentiate the business. In this blog post, we’ll explore one element of this discussion: infrastructure management. Be sure to check out the full whitepaper for all the details. 

The case for containers and Kubernetes

Compared to previous virtualization technologies, containers are more lightweight, faster, more portable, and easier to manage—and a managed container platform like Kubernetes can extend these advantages even further. That’s why we’re seeing a massive shift to containers and Kubernetes. 

Simply put, infrastructure and technical debt can slow down tech companies and startups. Traditional virtual machines (VMs) are neither simple to manage nor likely to maximize your workloads. Maximizing the cloud isn’t just about renting cheap resources—it’s about embracing modern, more efficient ways of operating that let businesses spend more time serving customers. 

VMs virtualize at the hardware level and thus require higher degrees of management, less portability, and less consistent and efficient scaling. Containers, in contrast, virtualize further up the stack, at the OS level, meaning they contain the libraries and dependencies needed to run apps and services but are significantly more lightweight, easier to manage, and can accommodate modern operating models. VMs aren’t built for the speed at which today’s tech companies and startups need to move, but with a robust container orchestration like Kubernetes, startups can leverage proven patterns for running reliable, secure infrastructure at scale. 

Kubernetes is open source and platform-agnostic, offering all the common tooling out of the box to secure and speed up each stage of the build-and-deploy life cycle. Everything is automated, with the complexity abstracted away—the vast majority of infrastructure-as-code is eliminated as the platform shifts to infrastructure-as-data, with users able to tell Kubernetes what they want rather than writing code to tell it what to do. In terms of both time saved in the present and flexibility preserved for the future, Kubernetes can be vastly more valuable than proprietary tech stacks or even a management-heavy implementation of VMs running in the cloud. 

Kuberetes also lets tech companies and startups reduce management overhead according to their needs, with many different approaches available for different workloads: 

• Kubernetes gives traditional workloads the benefits of a modern platform by letting organizations separate apps from VMs and put them in containers.
• Managed computing platforms turn cloud services into platforms-as-a-service, giving tech companies and startups the power and flexibility of containers and the convenience of serverless. There’s no server, no cluster configuration, and no maintenance, which means organizations can dramatically reduce overhead labor without compromising control.
• For workloads that don’t require much control over cluster configuration, tech companies and startups can use Google Kubernetes Engine (GKE) in Autopilot mode to provision clusters, while paying for only the workload, not the cluster. In this way, they can eliminate cluster administration while optimizing security and saving potentially substantial amounts of money.
• For more cloud-native applications, serverless options like Cloud Run, eliminate underlying infrastructure and serve as the end-to-end host for applications, data, and even analysis. A serverless platform lets organizations start running containers with minimal complexity in a fully-managed environment with security, performance, scalability, and best practices baked in.

Accelerating time to market while preserving future freedom

Tech company and startup leaders should also consider the value of the Kubernetes community and its surrounding ecosystem, as its stable innovation defines today’s industry standards and best practices. The technology benefits in terms of speed, complexity, and labor are clear when it comes to containers, but as an open-source platform with many active contributors, it is also an onramp to future architecture innovations. Being cutting-edge and developer-oriented, Kubernetes can also help organizations to attract top technical talent, in addition to letting them empower developers they already employ. And not to be neglected, because Kubernetes is open source, it offers transparency in proprietary solutions, limiting the risks of lockin. Top to bottom, it provides a framework for tech companies and startups to bring innovations to their customers, faster. To learn more, read the full whitepaper or visit the Google Cloud for startups and tech companies page.

Cloud Functions is a fully managed event-driven serverless function-as-a-service (FaaS). It is a small piece of code that runs in response to an event. Because it is fully managed, developers can just write the code and deploy it without worrying about managing the servers or scaling up/down with traffic spikes. It is also fully integrated with Cloud Operations for observability and diagnosis. Cloud Functions is based on an open source FaaS framework which makes it easy to migrate and debug locally. 

To use Cloud Functions, just write the logic in any of the supported languages (Go, Python, Java, Node.js, PHP, Ruby, .NET), deploy it using the console, API or Cloud SDK and then trigger it via HTTP(s) request from any service, for example: file uploads to Cloud Storage, events in Pub/Sub or Firebase, or even direct call via Command Line Interface CLI. 

There is a generous free tier and the pricing is based on number of events, compute time, memory and ingress/egress requests and costs nothing if the function is idle. For security, using Identity and Access Management IAM you can define which services or personnel can access the function and using the VPC controls you can define network based access. 

Cloud Functions use cases

Some Cloud Functions use cases include:

• Integration with third-party services and APIs
• Asynchronous workloads like lightweight ETL
• Lightweight APIs and webhooks
• IoT processing and update of the sensors/devices in the field
• Real-time file processing for use cases such as media transcoding or resizing as soon as the file is uploaded in Google Cloud Storage.
• Real-time ML solutions for use cases such as media translation or image recognition for files uploaded in GCS.
• Backend for chat applications and mobile apps.

Firebase Functions and Cloud Functions, are they different?

 If you are a Firebase developer, you’d probably use Firebase Functions. Those are created from the Firebase dashboard / website. Both Cloud Functions and Firebase Functions can do the same things, they just have slightly different signatures and slightly different ways of deploying. Firebase Functions have a local emulator, which Cloud Functions uses the Functions Framework.

For a more in-depth look into Cloud Functions check out the documentation.  Once you’ve got your Function up and running, check out some tips and tricks.https://www.youtube.com/embed/LTMChfWBHb0?enablejsapi=1&

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