Does it feel like your business is paying too much for cloud services? You are not alone. Cloud costs are expected to increase at a compound annual growth rate of 10.5% to 13.1% through 2025, according to the International Data Corporation (IDC). While getting a handle on those cloud costs may be tricky, you don’t have to worry — we’ve got you covered.
Our joint customers can remain within Azure for all their cloud services, facilitating compliance and minimizing data movement costs.
Businesses are increasingly embracing a cloud-first approach to increase market responsiveness and flexibility. The cloud-first approach refers to a cloud-like experience consisting of on-demand metered consumption of IT infrastructure, whether on the public cloud or inside private data centers. The rapidly evolving consensus among the tech leaders and vendors has led to an emergence of hybrid IT.
Recently, k6 started supporting k6 extensions to extend k6 capabilities for other cases required by the community. The community has already built plenty of extensions. k6 extensions are written in Go, and many of them are reusing existing Go libraries. This makes k6 to be a versatile tool to test different protocols and adapt to multiple cases. This post is the third part of my series of articles testing various systems using k6: Let's look in this post how we test the popular Kafka project.
Here we are, our screens split and fingers poised to forage through two days of fresh Kafka content at Kafka Summit Americas. Tweet us your #KafkaSummit highlights if they’re missing here and we can add them to the round-up.
There are many ways that Apache Kafka has been deployed in the field. In our Kafka Summit 2021 presentation, we took a brief overview of many different configurations that have been observed to date. In this blog series, we will discuss each of these deployments and the deployment choices made along with how they impact reliability.
Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.
Mobile app testing can be time-consuming, error-prone, and sometimes expensive if not done the right way. But mobile app testing is a critical part of the development process, so skipping it comes at a huge cost to end UX. To compete with the millions of mobile apps on the market, your set of best practices must ensure that the user experience is incredible for every consumer every time they use your app, starting from the first try. Not sure where to begin?
Appian has been a recognized leader in cloud-based enterprise software platforms since delivering Appian Cloud in 2007. From the outset, we built our software to integrate with and complement the cloud’s unique advantages, and to protect it from vulnerabilities. We did so with a unique design philosophy, employing cloud-native and globally recognized frameworks like NIST for optimal security protection, business continuity, and enhanced support.
