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@varbear shared a link, 6 days, 13 hours ago
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How Reddit Migrated Comments Functionality from Python to Go

Reddit successfully migrated its monolithic, high-traffic Comments service from legacy Python to modern Go microservices with zero user disruption. This was achieved by using a "tap compare" for reads and isolated "sister datastores" for writes, ensuring safe verification of the new code against pro.. read more  

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@kaptain shared a link, 6 days, 13 hours ago
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Why Kubernetes Won: Perfect Timing & Developer Culture

Kubernetes won big because the stars aligned, DevOps took off, Docker exploded, and enterprises finally stopped side-eyeing open source. Then came the institutional tailwind: CNCF pushed hard, GCP bet big, and the rest followed. Kubernetes isn't just tech. It's a new operating model, built in the op.. read more  

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@kaptain shared a link, 6 days, 13 hours ago
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An In-Depth Look at Istio Ambient Mode with Calico

Tigera just wiredIstio Ambient Modeinto Calico. That means you getsidecarless service mesh, think mTLS, L4/L7 policy, and observability, without stuffing every pod with a sidecar. It’s all handled by lean zTunnel and Waypoint proxies. Ports stay visible, soCalico and Istio policiesplay nice. No rewr.. read more  

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@kaptain shared a link, 6 days, 13 hours ago
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Kubernetes Made Simple: A Guide for JVM Developers

A sharp walkthrough for JVM devs shipping aKotlin Spring Boot app on Kubernetes. It covers the full deployment arc, packaging with Docker, wiring upDeploymentandServicemanifests, and managing config withConfigMapsandSecrets. There's a cleanPostgreSQLintegration baked in. It even gets intoheader-base.. read more  

Kubernetes Made Simple: A Guide for JVM Developers
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@kaptain shared a link, 6 days, 13 hours ago
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Compose to Kubernetes to Cloud With Kanvas

Docker just droppedKanvas, a new visual toy for building multi-cloud Kubernetes setups, without drowning in YAML. It bolts onto Docker Desktop and runs onMeshery. Drag and drop services into a topology, then bring them to life across AWS, GCP, or Azure. Mix inpolicy-driven validationandreal-time mut.. read more  

Compose to Kubernetes to Cloud With Kanvas
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@kaptain shared a link, 6 days, 13 hours ago
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How to Add MCP Servers to ChatGPT

ChatGPT leveled up with fullModel Context Protocol (MCP)support. It can now run real developer tasks, scraping, writing to a database, even making GitHub commits, through secure, containerized tools in Docker. TheDocker MCP Toolkitconnects ChatGPT’s language smarts to production-safe tools like Stri.. read more  

How to Add MCP Servers to ChatGPT
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@kaptain shared a link, 6 days, 13 hours ago
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A Deep Dive into Kubernetes Headless Service

Headless Serviceis a powerfulKubernetesfeature enabling direct pod-to-pod communication forstateful applicationsand preciseservice discoverywithout traditional load balancing.No automatic load balancing, pod IP changes, andspecial use casesmake it ideal for specific scenarios, not general workloads... read more  

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@kaptain shared a link, 6 days, 13 hours ago
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The “Inception” of Kubernetes: A Deep Dive into vCluster Architecture and Benefits

vCluster, a CNCF sandbox project, spins up real-deal Kubernetes control planes inside pods. Each lives in its own namespace but behaves like a full cluster, admin access, CRDs, Helm, the works. It reuses the host’s worker nodes using a syncer that routes vCluster workloads onto the real thing... read more  

The “Inception” of Kubernetes: A Deep Dive into vCluster Architecture and Benefits
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Kubernetes 1.35 - New security features

Kubernetes 1.35 is done with legacy baggage. cgroups v1? Deprecated. Image pull credentials? Now re-verified by default—no more freeloading. kubectl SPDY API upgrades? Locked down. You’ll needcreatepermissions just to speak the protocol. Expect breakage if your workflows leaned on old assumptions. U.. read more  

Kubernetes 1.35 - New security features
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@kaptain shared a link, 6 days, 13 hours ago
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How to Troubleshoot Common Kubernetes Errors

A fresh Kubernetes troubleshooting guide lays out real-world tactics for tracking down 12 common cluster headaches. Think:kubectlsleuthing, poking through system logs, scraping observability metrics, and jumping intodebug containers. The guide breaks down howAIOpsis stepping in, digesting event data.. read more  

How to Troubleshoot Common Kubernetes Errors
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.