Red Hat announced the latest release of Red Hat Process Automation, which delivers new developer tooling, extended support for eventing and streaming for event-driven architectures (EDA) through integration with Apache Kafka, and new monitoring capabilities through heatmap dashboards.
As part of DEVOPSdigest's 2020 predictions, industry experts offer predictions on how Cloud and related technologies will evolve and impact DevOps in 2020. Part 2 covers Cloud-Native and more.
Start with 2020 Cloud Predictions - Part 1
DEVOPS DRIVES CLOUD-NATIVE
Enterprises will seek to take full advantage of the cloud's agility by re-architecting their application/technology stacks to optimize them specifically for the cloud environment. IT departments regularly use a "lift and shift" approach to migrating applications to the cloud, but the effort still requires some changes to ensure meeting desired service levels owing to some differences between private and public infrastructures. After the initial wave of migration to the cloud is optimized, DevOps will drive re-architecting their application/technology stacks to a cloud-native implementation to take further advantage of the cloud's greater efficiency, reliability, scalability and affordability.
VP, Global Marketing, SIOS Technology
PLUG AND PLAY CLOUD-NATIVE
Cloud native is reaching a new stage in its maturity where technologies that enabled the software revolution need to provide simpler deployments and standardized integrations to foster adoption beyond power users. To truly bring cloud native to the masses, platforms will move toward plug and play so that DevOps can focus on what they like doing best: building applications.
THE EDGE GETS CLOUDY
In 2020, the edge will start to get cloudified, as demonstrated by the recent launches of Google Anthos and Azure Arc. Organizations will be able to deploy, support and connect a given app and its related infrastructure across disparate edge environments. This provides a cloud-native experience at the edge. This trend will begin at the app and compute layer first. Higher-level services in the stack, such as containers and security, won't see widespread support in the cloudified edge next year, but those services will start to materialize from more innovative vendors.
BIRTH OF THE DISTRIBUTED CLOUD
According to Gartner, over half of enterprise-generated data will be produced and processed outside traditional data centers or a single centralized cloud by 2022, compared to just 10 percent today. By 2025, they forecast that number will climb as high as 75-90 percent. Because of trends like IoT and 5G, apps and data, along with their supporting infrastructure, are increasingly being spread across multiple clouds and edge sites, introducing several serious operational and security challenges. The distributed cloud will rise to meet these challenges: Organizations will eventually manage these sprawling deployments that span edge sites, multiple clouds and corporate data centers as a single distributed cloud and operating model that integrates all the disparate environments. This won't all happen overnight. But by 2021 to 2023, we'll see the pieces slowly come together, bringing order to chaos and giving birth to the distributed cloud.
SERVERLESS GAINS MOMENTUM
We'll continue to see serverless computing gain more momentum, as it's brought into on-premise platforms like OpenShift, Google Anthos and others via kNative. AWS Outposts will disrupt the industry in 2020 as it blurs the lines between on-cloud and on-premise workloads and services. Its main competition will be Google Anthos, and Microsoft Azure.
Division President, Amdocs Technology
"Serverless" as a concept provides a simplified developer experience that will become a platform feature. More platform-as-a-service providers will incorporate serverless traits into the daily activities developers perform when building cloud-native applications, becoming the default computing paradigm for the cloud.
William Markito Oliveria
Senior Manager, Product Management, Red Hat
BUSINESSES FOCUS ON CONTROLLING CLOUD COSTS
The cloud, particularly SaaS, has democratized the use of technology across all business functions. However, it has also resulted in spiraling costs and significant waste due to the decentralized model of consumption. Surveys indicate businesses could be wasting up to 35 percent of their cloud costs because of duplicate spending and lack of usage. Fortunately, solutions are emerging to help the CFOs and CIOs take control of the situation. For example, a SaaS management platform (SMP) can bring central visibility, control, and manageability for all the SaaS applications used within the business, including cost management. Different services could have different pricing, costing and billing models; and SMPs can help provide cost and efficiency insights at the level of user, department, and organization. Another example, Cloud cost management solutions can provide unified cost management for organizations that use multiple IaaS providers. For businesses struggling with managing cloud costs, these will become top priorities.