SShortSingh.
Back to feed

GKE Launches VPA Decision Logs to Improve Kubernetes Autoscaling Visibility

0
·1 views

Google Kubernetes Engine (GKE) has launched a Public Preview of Vertical Pod Autoscaler (VPA) Logs, available on clusters running version 1.36.0-gke.1601000 or newer. Previously, VPA decisions were difficult to audit because standard Kubernetes events expired after roughly an hour, leaving engineers unable to diagnose unexpected pod evictions or failed in-place resizes. The new feature streams structured VPA decision events directly into Cloud Logging under the destination container.googleapis.com/vpa-controller, creating a permanent audit trail. Logs are categorized across four operations — updating recommendations, evicting pods, applying recommendations on eviction, and applying recommendations in place — each tagged with a success, skipped, or failed status. Combined with existing Horizontal Pod Autoscaler logging, GKE operators now have unified visibility across both horizontal and vertical autoscaling dimensions.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Developer shares hybrid Laravel-Python architecture for production-ready AI agents

A developer at SOFTDEFT has detailed a hybrid architecture for building enterprise-grade autonomous AI agents, combining Laravel and Python instead of relying on a single Python stack. In this setup, Laravel manages state, authentication, job queues, rate-limiting, and client-facing APIs, while a Python FastAPI microservice handles LLM orchestration, tool execution, and vector operations. Agent tasks are tracked in a Laravel database and dispatched asynchronously via Redis queues, with the Python engine receiving payloads and returning results through a webhook callback. The approach aims to avoid reinventing enterprise infrastructure in Python, leveraging Laravel's mature ecosystem for backend concerns. The author draws on experience building ERPs and automation tools to present this as a scalable, production-tested pattern.

0
ProgrammingDEV Community ·

Git Workflow Explained: From Working Directory to Remote Push

Git is a version control system that tracks file changes through a four-stage workflow: working directory, staging area, commit, and remote repository. The working directory holds local project files, while the staging area lets developers selectively choose which changes to include in the next commit. A commit saves a snapshot of staged changes with a descriptive message, and 'git push' then uploads those commits to a remote platform like GitHub. Connecting a local project to GitHub requires setting a remote address, with only the public SSH key shared externally. Following this structured sequence helps developers maintain a clear and organized record of project changes over time.

0
ProgrammingHacker News ·

Warp Uses Claude AI to Power Self-Improving Developer Agents

Warp, a modern terminal application, has built self-improving AI agents using Anthropic's Claude as the underlying model. The integration allows Warp's agents to iteratively enhance their own performance over time. Anthropic shared details of this collaboration on the Claude blog, highlighting it as a notable use case for their AI system. The approach reflects a growing trend of developer tools embedding advanced AI agents to automate and optimize workflows.

0
ProgrammingDEV Community ·

Seven Core Principles That Help Distributed Systems Stay Reliable at Scale

Software engineer Maneshwar, creator of AI code review tool LiveReview, has outlined seven foundational ideas that underpin reliability in large distributed systems. The piece centers on the CAP theorem, which states that a distributed system can guarantee at most two of three properties: consistency, availability, and partition tolerance. Since network partitions are inevitable in real-world infrastructure, the practical choice narrows to prioritizing either consistency or availability during an outage. Google Spanner exemplifies the consistency-first approach, using atomic clocks to keep transactions synchronized globally, while Amazon DynamoDB favors availability by accepting writes during partitions and reconciling conflicts afterward. The article argues that neither approach is universally superior, as the right trade-off depends on the specific reliability requirements of the application.

GKE Launches VPA Decision Logs to Improve Kubernetes Autoscaling Visibility · ShortSingh