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Using Data Virtualization to Simplify Microservice Architectures

Data Virtualization

In a previous post, we reviewed the value of APIs and how the data virtualization layer can be used as a data service provider. Another powerful way to use data virtualization and data services is to use the data virtualization.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

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How VMware Tanzu CloudHealth migrated from self-managed Kafka to Amazon MSK

AWS Big Data

We discuss the system architectures, deployment pipelines, topic creation, observability, access control, topic migration, and all the issues we faced with the existing infrastructure, along with how and why we migrated to the new Kafka setup and some lessons learned. Our other language stack services use similar wrappers.

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Don’t get another surprise bill from your observability vendor

IBM Big Data Hub

Instana follows a per-host pricing model, where customers are charged based on the number of hosts — physical or virtual — that need to be monitored. This straightforward approach eliminates confusion and simplifies budgeting, making it easier to estimate and control monitoring costs.

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How to achieve Kubernetes observability: Principles and best practices

IBM Big Data Hub

The dynamic, open-source , microservices-based configuration of Kubernetes can be a great fit for businesses that are looking to maximize infrastructure agility. But managing the sheer volume of data, nodes, pods, services and endpoints that comprise Kubernetes environments requires observability practices that are appropriate for the job.

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Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

An event-driven architecture is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker. By containerizing your data processing tasks, you can simply deploy them into Amazon EKS as Kubernetes jobs and use Kubernetes to manage underlying computing compute resources.

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6 key challenges of complex cloud environments — and how to manage them

CIO Business Intelligence

And this can be made all the more difficult when various business departments and groups use the cloud without central IT’s approval or knowledge. A decade ago, an organization may have used from 20 to as many as 50 apps. It also uses the cloud for web platforms such as ecommerce and for its own low-code automation platform.