GraphQL is a query language to enable applications to fetch data from servers. In fact, as it isn't tied to any specific database or storage engine, GraphQL can aggregate data from multiple sources to create a natural representation of your data. The representation is a graph. The following image illustrates a typical GraphQL abstraction: A few common GraphQL use cases include.
Companies are now making a decisive shift from traditional on-premises Oracle software to Oracle’s cutting-edge cloud solutions. In fact, a recent Gartner report on cloud expenditure found that cross-industry cloud spend has risen from 8% as a percentage of total IT spend in 2018 to 16% in 2022. Worldwide spending on public cloud services is expected to grow by 21.7% in 2023.
One of my favorite analogies is that data is the lifeblood of the business. Before you roll your eyes at me (I see it now), hear me out. At your annual physical, when you get your blood work done, think of how much information is uncovered about your overall health from a tiny vial of your blood. From those 10 CCs they extract comes back pages of information regarding your cell counts, glucose, cholesterol, and other information.
The Kong and Amazon (AWS) partnership is stronger than ever! As Kong continues to evolve, with Kong Konnect and Kong Mesh, the means of integrating with AWS grows as well. In a continuous effort to offer cutting-edge collaborations, Kong announces new Amazon Elastic Kubernetes Service (EKS) based contributions: Kong Konnect AddOns for the EKS Blueprints for Terraform framework and two new Kong AWS workshops.
Optimizing Kubernetes clusters: invert your rightsizing with AWS Karpenter. Maximize efficiency, performance & your cloud infrastructure.
The world is awash with data, no more so than in the telecommunications (telco) industry. With some Cloudera customers ingesting multiple petabytes of data every single day— that’s multiple thousands of terabytes!—there is the potential to understand, in great detail, how people, businesses, cities and ecosystems function.
In the age of the AI revolution, where chatbots, generative AI, and large language models (LLMs) are taking the business world by storm, enterprises are fast realizing the need for strong data control and privacy to protect their confidential and commercially sensitive data, while still providing access to this data for context-specific AI insights.
Gartner predicts that by 2026, 75% of organizations will adopt a digital transformation model predicated on the cloud as the fundamental underlying platform. Every organization has a cloud strategy and vision with annual goals, yet the business risky cloud migrations have aged in backlogs or implemented with straying budgets & timelines. ‘Assurance’ is the most critical factor in business readiness, scoping, budgeting, and concluding the cloud migration.
