Curated articles, resources, tips and trends from the DevOps World.
Jit sponsored this post. Jit is under common control with TNS. When selecting serverless and Lambda as the preferred architecture for your cloud operations, you need to understand the inherent limitations in order to scale once your application and product code start to grow in size and complexity.
As the field of software development continues to evolve, one cannot help but wonder about the future of the profession. With the integration of AI tools, like ChatGPT, and Machine Learning, tasks that were once exclusive to human developers are now being handled by machines.
Behind today’s APIs, it’s common to have many services processing a single request. Gone are the days when a monolithic application was exposed directly on the internet and was responsible for handling an entire API request.
Everyone in the community was surprised by ChatGPT last year, which a web service responded to any and all user questions with surprising fluidity. ChatGPT is a variant of the powerful GPT-3 large language model created by OpenAI, a company owned by Microsoft.
The security of data in the cloud has prevented many companies from moving sensitive workloads to the cloud. But cloud providers and chip makers are hoping to tackle that concern with “confidential computing.”
Developers and Kubernetes pros don’t speak the same language. Kubernetes is about clusters, nodes, control planes, pods, versions and namespaces. When developers say “deployments,” they don’t mean a Kubernetes object that manages the desired state of a set of replicas of a pod.
Ever since ChatGPT was released in late 2022, the internet has been abuzz with equal parts doom and optimism. Love it or hate it, artificial intelligence (AI) is coming to your development organization.
Let’s say that you have a machine running Virtual Machines (VMs) that themselves are running Docker. You can also have another real machine (or more!) that you want to monitor. This stack is really flexible, and that is the whole point.
One of the main attributes of WebAssembly is how it can accommodate a number of different languages that are deployed — in theory at least — wherever there is a CPU device that can run instruction sets. The languages Wasm can run include, in addition to JavaScript, Rust, Go, .
In today’s fast moving world, schedule driven, incremental releases may not be what customers are looking for. After gathering input from both external and internal customers, there is a definite appetite for more content driven releases.
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