The native cloud technologies of ship-driven and Kubernetes are ever-growing.
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2020 saw the rise of multi-cloud led by Kubernetes and then major M&A contracts in place.
Here are five trends that have affected the indigenous cloud market:
1. Multi-cloud becomes a reality
Kubernetes turns multi-cloud promise into reality. It removes the barriers to interoperability and employee resilience by being the lowest type of modern infrastructure. Hyperscale cloud providers are reducing Kubernetes as the vehicle to run their managed services in hybrid and multi-cloud environments.
In 2020, Google announced BigQuery Omni that runs a taste of BigQuery, the popular data warehouse available on Google Cloud, on Amazon Web Services. Microsoft made Azure Arc-enabled Data Services in public preview, bringing SQL Server and PostgreSQL Hyperscale to other cloud-based buildings and environments running Kubernetes collections. At the re: Invent 2020 event, Amazon announced EKS Anywhere which makes it possible to run the same Kubernetes distribution and related parts in hybrid and multi-cloud environments.
Red Hat, VMware and SUSE Rancher continue to deliver multi-cloud capabilities through OpenShift Enterprise, Tanzu Kubernetes Grid and Rancher Kubernetes Engine.
2. Market Consolidation
2020 saw some of the largest and most strategic initiatives in the indigenous cloud industry. SUSE acquires Rancher, builds Portworx with Pure Storage, Veeam acquires Kasten, VMware acquires Octarine, Mirantis buys Lens IDE and most recently, Cisco buys Banzai Cloud and New Relic acquires Pixie Labs some examples of native cloud market consolidation.
3. Kubernetes growth at the edge
Kubernetes is transforming into a preferred platform for infrastructure and workload. The rise of Industrial IoT (IIoT) and artificial intelligence combined with 5G is leading the adoption of Kubernetes at the edge.
K3s from Rancher, Microk8s from Canonical and K0s from Mirantis are some of the Kubernetes releases that are optimized for the edge. With a smaller 3-node cluster footprint, Red Hat’s OpenShift is now available for edge. Google has introduced a taste of Anthos that can run on a single bare metal device in standalone, which essentially brings Google Kubernetes Engine (GKE) to the edge.
Tens of thousands of Kubernetes coolers are deployed at the edge controlled by centralized control aircraft such as Anthos, Azure Arc, Rancher, Red Hat Advanced Cluster Manager for Kubernetes, Tanzu Mission Control and KubeOne. This topology delivers the controllability of Kubernetes and the native workload of clouds deployed in a highly dispersed environment.
4. Keeper and server assembly
With Kubernetes becoming the foundation for a modern infrastructure, serverless computing based on the Tasks as a Service (FaaS) delivery model comes to Kubernetes. This year saw the advent of Kubernetes-based serverless computing.
Cloud Run, a serverless computing platform available on Google Kubernetes Engine and Anthos, has received many new features, including fast developer experience, support for streaming, longer runtime, longer lead times, distribution gradually and roll back.
TriggerMesh, the company that built a native real-time cloud integration platform to connect services and automate workflows, has rolled out the first version of its platform.
Amazon finally announced shipping support for Lambda, making it possible to bring any runtime, language, library to AWS Lambda and use the same workflow to drive events based on external events.
5. GitOps Gain Momentum
This year came the maturity of GitOps – code – based usage and configuration. With GitOps, operators rely on a central Git database to distribute configurations to one or more Kubernetes platforms. Based on Git verification workflows, such as pledges and rolls, configurations can be easily implemented or retrieved at scale. An agent running in each browser continuously monitors the Git repo and resolves the browser state or workload.
Fleet from Rancher, Flux from WeaveWorks, Argo CD and Config Sync from Google are some of the most popular tools and frameworks that customers use.
Increasing use of multi-cluster, multi-cloud and peripherals is leading the adoption of GitOps. Anthos, Azure Arc and Rancher introduce GitOps as the best way to deploy workloads, configuration, and policy across multiple programs programmed by a centralized control plane.