Event sourcing, aka "the great myth". I’ve been thinking about writing a series of articles about this for a while, and now it’s time to put my hands back on the keyboard.
I thought that with this long period of confinement at least I could have had more time to write some nice articles, but it turns out the reality has been slightly different so far.
Traditional DRaaS offerings typically require rigid data center infrastructure that is expensive and inefficient. Many DRaaS (Disaster Response-as-a-Solution) solutions offer an alternative to on-premises failover, but when they are based on the same on-premises DR (disaster response) technology, they cannot realize the full technical and business advantages of the cloud: multi-tenancy, scalability, agility, and cost-efficiency.
“Incorporating object storage into a backup service is relatively straightforward and, today, is commonly supported by most data protection vendors,” said Tom Critser, co-founder and CEO, JetStream Software. “But service providers haven’t previously had a CDP (continuous data protection) solution that continuously replicates data directly into an object store and uses the object store exclusively to maintain all recovery assets, including the recovery of system information, network configurations, and ongoing protection policies. That’s a very different kind of challenge that JetStream DR on Cloudian uniquely addressed.”
In this tutorial, we are going to try out a Spring Boot Swagger-enabled REST project and explore how the validation constraints can be utilized automatically for enriching Swagger models.
We are going to refer to https://www.baeldung.com/swagger-2-documentation-for-spring-rest-api and https://spring.io/guides/gs/rest-service/ as starting points.
Hi, Spring fans! In this installment of Spring Tips, we’re going to look at Alibaba’s Apache RocketMQ. We’ve talked some about Alibaba in Spring Tips before. Check out the earlier Spring Tips installment in which we explore some of Spring Cloud Alibaba.
In order to use Apache RocketMQ, you’ll need to follow the steps in the RocketMQ quickstart. This Spring Tips installment introduces Apache RocketMQ, originally a technology developed and used internally at Alibaba and proven in the forge of 11/11, the famous Chinese sales holiday, sort of like “Cyber Monday,” or “Black Friday,” in the US. Sort of like that, but waaaaaay bigger. In 2019, Alibaba (alone, with no other e-commerce engines involved), made almost $40 billion USD in 24 hours. This required that trillions of messages be sent through something that could scale to meet the demand. RocketMQ is the only thing they could trust.
In this article, we focus our attention on the DevOps.
What is DevOps? How is it different from Agile? What are the popular DevOps Tools? What is the role of Docker, Kubernetes and Azure DevOps in DevOps. Let’s get started with a simple use case.
Unlike analysts at the large firms, who have to specialize in narrow market segments to avoid stepping on each other’s toes, we at Intellyx have the luxury of covering cross-cutting topics that align with business needs.
One of our tools in trade: looking closely at how two different markets interrelate and thus provide business value. In today’s Cortex, I’ll consider the relationship between low-code and cloud-native computing.
The usage of ML is increasingly rising these years. Businesses are impresses with a range of opportunities ML enables for them. However, they’re still struggling to deploy ML models because of the long duration and complexity of the process.
When a business has to come up with the prediction of a particular data set, the traditional approach includes the performance of the following actions:
As our business, Shopee, boomed, our team faced severe challenges in scaling our back-end system to meet the demand. Our previous article introduces how we use TiDB, an open-source, MySQL-compatible, hybrid transactional and analytical processing (HTAP) database, to scale-out our system so that we can deliver better service for our users without worrying about database capacity.
There are so many databases available in the market. How do you choose the right one? In this post, I’ll share our thoughts with you. I hope this post can help you when you’re comparing multiple databases and looking for the right fit for your application.
You can build a custom skill for Alexa by extending a servlet that accepts requests from and sends responses to the Alexa service in the cloud.
This project will walk through how to build an Alexa Skill with Spring Boot and Http Servlet mapping examples.
Apache Ignite as a distributed database and caching platform needs end-to-end monitoring to act on time. Historically, Apache Ignite provides a set of API and instrumentation to gather application-specific information and metrics by the external tools. In release 2.8.0, Apache Ignite improved the monitoring capabilities and introduced some nice features like "System views subsystem" and "Metrics subsystem."
In this short article, we are going to explore the Apache Ignite new monitoring opportunities and how to use different tools and technics to gather metrics for diagnosis. Anyway, the full release notes of version 2.8.0 can be found here.
