Serving ML Models with KServe
KServe serves your ML model on Kubernetes from a few lines of YAM, scaling out under load, to zero when idle, and updating with zero downtime.
Stories from Kodekloud
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Recurring themes in this source.
KServeKubernetesMachine LearningMLOpsPulumiAWSPythonIaCInfrastructure as CodeDevOpsCloudDockerContainersPlatform Engineering
Recent curated reads
How to Provision Your First AWS Resources With Pulumi and Python
Everything you need for a first Pulumi project, in about twenty minutes. Create a bucket and a server with Python, check the plan before anything changes, and delete it all when you are done.
Docker Best Practices for Building and Running Production Containers
Most production container problems are decided in about fifteen lines of Dockerfile. Here is what to put in them, why each line is there, and what breaks when it is missing.
What Is Pulumi and How Is It Different From Other IaC Tools
Pulumi lets you describe infrastructure in a language you already write, with loops, functions and tests. Here is what that actually changes, and the cases where a config language is still the better answer.
How to Pass Secrets Into Docker Builds Without Leaking Them Into Image Layers
Your build needed a token, so you passed one in and deleted the file afterwards. It may still be there. Here is why, and the one line of Dockerfile that handles it properly.
Designing a Background Job Processing System, And Where It Breaks
Build a reliable background job queue using transactional outboxes, visibility timeouts, idempotent workers, retries, and dead letter queues.
Connection Refused, No Error, and How Kagent Finds It
Kagent is an open-source AI agent in your Kubernetes cluster. See how it finds a silent label mismatch that returns connection refused - with no error logged.
What Is Jev and How DevOps Teams Can Use TypeSafe's AI Model
Jev does not chat or write code. It answers typed questions about your alerts, builds, and commands in milliseconds, and this guide shows how to put it to work in a real DevOps pipeline.
Hermes Agent for DevOps, the Open Source Agent That Lives on Your Server
An AI agent that runs on your server, remembers past actions, and executes scheduled jobs unattended can be incredibly useful. It can also introduce real risks. Here’s how to build one that delivers the benefits without giving up control.
How to Summarize a Document That Is Longer Than the Context Window
A model can only summarize what it can see, and a long document is often cut short before the model ever reads it. Here is how to notice that, and three ways to summarize the whole thing.
What Happens on Terraform Apply
Learn what happens when you run terraform apply: the state file, terraform plan, providers, state locking and drift, explained for interviews.
What Happens If the Kubernetes API Server Goes Down
Learn what happens when the Kubernetes API server goes down: why pods keep serving traffic and how the control plane and data plane differ.
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