# services Published articles for services. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Salesforce staggers back to feet after global outage DevFeed: [Salesforce staggers back to feet after global outage]() Original publisher: [Read original article]() Author: Lindsay Clark Published: 2026-09-16T10:06:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Shopify]() Tags: [customers](), [errors](), [outage](), [saas](), [salesforce](), [services]() ### AI overview Salesforce is recovering from a global outage that caused severe delays, intermittent errors, and inability to access services for customers attending the company's annual conference in San Francisco. ### Source excerpt As thousands attend annual conference in San Francisco, customers get 'severe delays, intermittent errors, and inability to access services' ## Go + Services = One Goliath Project DevFeed: [Go + Services = One Goliath Project]() Original publisher: [Read original article]() Author: Khan Academy Published: 2019-12-20T23:00:00Z Content type: opinion Language: en Sources: [Khan Academy]() Topics: [Go Language](), [Python](), [Back end](), [Kotlin](), [Server]() Tags: [backend](), [end-of-life](), [engineering](), [go](), [infrastructure](), [kotlin](), [news](), [performance](), [services]() ### AI overview Khan Academy describes its effort to rebuild server software on Go's modern stack. The article explains why moving from Python 2 to Python 3 offered limited benefits, considers Kotlin and other options, and presents faster languages as a way to improve responsiveness and reduce server costs. ### Source excerpt By Kevin Dangoor Go + Services = One Goliath Project Khan Academy is embarking on a huge effort ... Read more ## Atlassian Automates Root Cause Analysis by Correlating Metrics, Logs and Traces DevFeed: [Atlassian Automates Root Cause Analysis by Correlating Metrics, Logs and Traces]() Original publisher: [Read original article]() Author: Craig Risi Published: 2026-09-15T12:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [incident](), [atlassian](), [telemetry](), [SIEM, Security, Observability](), [tracing](), [Cloud Native Ecosystem](), [OpenTelemetry]() Tags: [atlassian](), [atlassian-automated-rca](), [cloud-native](), [defects](), [devops](), [distributed](), [incident](), [incident-response](), [logging](), [logs](), [metrics](), [news](), [opentelemetry](), [root-cause-analysis](), [services](), [telemetry](), [traces](), [tracing]() ### AI overview Atlassian has outlined an approach to automating root cause analysis for large-scale cloud-native incidents. It correlates metrics, logs, distributed traces, and service topology to detect anomalies, align them in time, trace dependencies, and produce ranked hypotheses about likely fault origins and propagation paths. ### Source excerpt Atlassian has outlined a new approach to automating root cause analysis for large-scale cloud-native incidents, using correlation across metrics, logs, distributed traces, and service topology to generate ranked hypotheses about where failures originate and how they propagate. By Craig Risi ## Built for Reliability: How American Express Processes Payments at Scale DevFeed: [Built for Reliability: How American Express Processes Payments at Scale]() Original publisher: [Read original article]() Author: ByteByteGo Published: 2026-09-08T18:31:03Z Content type: article Language: en Sources: [ByteByteGo]() Topics: [Architecture & Design](), [Microservice](), [Microservices](), [Network](), [Server]() Tags: [account-balance](), [architecture](), [bank](), [card](), [cell-based-architecture](), [microservices](), [network](), [payments](), [scale](), [server](), [services]() ### AI overview The article explains how American Express processes payments through a cell-based architecture. Transactions move through independent processing units and microservices, with isolation designed to limit disruption when services fail. ### Source excerpt In this article, we will try to understand how the transaction runs through such a cell-based architecture and how the payments are processed even when some services are failing. ## Building Trust in AI DevOps: Validating the Harness Knowledge Graph DevFeed: [Building Trust in AI DevOps: Validating the Harness Knowledge Graph]() Original publisher: [Read original article]() Author: Vikram Sahu Published: 2026-08-31T18:37:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [DevOps](), [Testing](), [Graphs](), [Artificial Intelligence](), [Software]() Tags: [ai](), [ai-evals](), [api](), [automated](), [data](), [devops](), [evals](), [graph](), [knowledge-graph](), [lifecycle](), [operational](), [other](), [pipeline](), [schema](), [sdlc](), [security](), [services](), [software](), [software-delivery](), [validation]() ### AI overview This article explains how Harness validates answers from its SDLC Knowledge Graph. Its multi-layered approach combines AI evaluations, schema traversal, API checks, direct product verification, production data, and shift-left testing to improve reliability. ### Source excerpt Discover our multi-layered validation approach combining AI evals to ensure reliable AI-powered software delivery insights. | Blog ## Private Preview: DigitalOcean Managed Agents Runtime Services DevFeed: [Private Preview: DigitalOcean Managed Agents Runtime Services]() Original publisher: [Read original article]() Author: Salman Paracha Published: 2026-08-25T19:01:05Z Content type: release Language: en Sources: [DigitalOcean]() Topics: [Digital Ocean](), [Agent Harness](), [Artificial Intelligence](), [Cloud](), [Claude Code](), [codex](), [Langgraph](), [Command-line interface]() Tags: [agents](), [ai-agents](), [apis](), [claude-code](), [cli](), [cloud](), [codex](), [coding-agents](), [digitalocean](), [gateway](), [harness](), [langgraph](), [preview](), [product-updates](), [services](), [workflows]() ### AI overview DigitalOcean announces Managed Agents Runtime Services (M.A.R.S.) in private preview, combining Harness Runtime and Action Gateway. The managed service provides cloud infrastructure for persistent, scalable agent sessions and governed access to tools, APIs, and SaaS systems. ### Source excerpt AI agents are helping developers, teams, and businesses do more: writing and executing code, conducting research, and running dynamic workflows across systems. But that ability is often bounded by where they run. Close the laptop, and the work stops there. You can't pick it up on another device, hand off to a teammate, or scale it across users. Moving agents to cloud VMs solves part of this problem; developers and companies building agent harness frameworks still have to build a high-fidelity experience that can match a local session, including agent friendly execution environments, session persistence, secure tool access, human-in-the-loop approvals, and observability. Now available in Private Preview, DigitalOcean Managed Agents Runtime Services (M.A.R.S.) provides that infrastructure as a fully managed service. It gives developers, teams, and ISVs a powerful yet lightweight environment for operating coding agents and long-running, multi-tool agentic workflows without building and managing the underlying infrastructure themselves. M.A.R.S. brings together two products: Harness Runtime provides the managed execution environment in which agents run, persist, and scale. Action Gateway gives those same agents governed access to the tools, APIs, and SaaS systems they need to complete real-world work. Rather than requiring you to rebuild your agent around a proprietary framework, M.A.R.S. lets you define an environment template that packages your preferred harness, dependencies, tools, and configuration. Designed to work with Claude Code, Codex CLI, and OpenCode, as well as agents built with LangGraph or CrewAI, giving teams the freedom to choose the agent experience that best fits their needs without being locked into a single harness or framework. Agent sessions that outlive your laptop Harness Runtime helps agent sessions run independently of any local machine. They can start in under a second and resume from a pause in as little as 200 milliseconds while preserving ## Harness RT Agents Detect Resilience Risks and Generate Tests for CD Pipelines and Kubernetes Workloads DevFeed: [Harness RT Agents Detect Resilience Risks and Generate Tests for CD Pipelines and Kubernetes Workloads]() Original publisher: [Read original article]() Author: Uma Mukkara Published: 2026-08-24T00:00:00Z Content type: release Language: en Sources: [Harness Blog]() Topics: [Resilience](), [Testing](), [Continuous Delivery (CD)](), [Kubernetes](), [dashboards]() Tags: [agentic](), [agents](), [blog](), [chaos](), [configuration](), [continuous-delivery](), [dashboards](), [deployment](), [experiments](), [infrastructure](), [insights](), [kubernetes](), [load](), [pipelines](), [product](), [resilience](), [services](), [teams](), [testing](), [tests]() ### AI overview Harness announces an update to Resilience Testing called RT Agents. The agents analyze CD pipelines and Kubernetes workloads for resilience risks, recommend the testing needed to confirm those risks, and can generate and run chaos experiments or load tests and interpret the results. ### Source excerpt RT Agents detect resilience risk in your CD pipelines and Kubernetes workloads, then generate and run chaos experiments or load tests to confirm it. | Blog ## Data Engineering Weekly #283 DevFeed: [Data Engineering Weekly #283]() Original publisher: [Read original article]() Author: Ananth Packkildurai Published: 2026-08-17T02:59:40Z Content type: article Language: en Sources: [Data Engineering Weekly]() Topics: [data-engineering](), [AI, ML & Data Engineering](), [Data Quality](), [Microservice](), [Apache Spark](), [Kafka](), [Feature Engineering](), [audit trail](), [Protocol (disambiguation)]() Tags: [ai](), [anthropic](), [article](), [data-engineering](), [data-quality](), [engineering](), [feature-engineering](), [kafka](), [newsletter](), [pipelines](), [services](), [testing]() ### AI overview Data Engineering Weekly #283 is a newsletter covering data platform fundamentals, multiagent system coordination, payments platform data contracts, financial data quality, declarative data engineering, and cost-efficient export workloads. ### Source excerpt The Weekly Data Engineering Newsletter ## Incident Report: July 22, 2026 DevFeed: [Incident Report: July 22, 2026]() Original publisher: [Read original article]() Author: Karina Devadoss Published: 2026-08-14T17:06:07Z Content type: news Language: en Sources: [HubSpot]() Topics: [incident](), [configuration](), [bug](), [health checks](), [client]() Tags: [2026](), [bug](), [change](), [configuration](), [customers](), [engineering](), [errors](), [europe](), [health-checks](), [hubspot](), [incident](), [memory](), [network](), [performance](), [report](), [services]() ### AI overview HubSpot reports that a configuration change triggered a latent defect in a core CRM service, causing European customers to experience CRM access disruptions for approximately 55 minutes on July 22, 2026. No data was lost, and non-European regions operated without interruption. ### Source excerpt Customers in Europe faced CRM access issues on July 22 due to a configuration change. Learn about the incident, its impact, and our commitment to improved reliability. ## Consuming OpenTelemetry Entity Events with an Event-Sourced Consumer DevFeed: [Consuming OpenTelemetry Entity Events with an Event-Sourced Consumer]() Original publisher: [Read original article]() Author: OpenTelemetry Authors; Docs CC BY Published: 2026-08-14T07:10:08Z Content type: tutorial Language: en Sources: [Blog on OpenTelemetry]() Topics: [OpenTelemetry](), [observability](), [telemetry](), [systems]() Tags: [logs](), [metrics](), [observability](), [open-source](), [opentelemetry](), [services](), [systems](), [traces](), [volumes]() ### AI overview This post explains how to consume OpenTelemetry entity events, which represent the inventory and lifecycle changes of hosts, interfaces, switches, services, and volumes. It presents an open source consumer as a worked example and recommends an event-sourced pipeline that preserves both current state and history. ### Source excerpt Metrics, logs, and traces tell you how your systems behave. They are much quieter about what actually exists: which hosts, interfaces, switches, services, and volumes are out there right now, and, crucially, how that picture changed over the last hour, day, or quarter. That living inventory has stayed a blind spot in the open observability stack. OpenTelemetry's entity events, coming out of the Entities SIG and described in the Entity Data Model, are the piece that starts to close it. Entity events are a stream. The interesting question is "what do I do once they arrive?" This post walks through one answer, using an open source consumer as a worked example. ## Automate Incident Intake with AI SRE Runbooks DevFeed: [Automate Incident Intake with AI SRE Runbooks]() Original publisher: [Read original article]() Author: Ryan Taylor Published: 2026-08-10T00:00:00Z Content type: tutorial Language: en Sources: [Harness Blog]() Topics: [SRE](), [incident](), [Automation](), [Slack](), [zoom](), [Grafana](), [datadog](), [Artificial Intelligence]() Tags: [ai](), [automation](), [build](), [datadog](), [grafana](), [harness](), [incident](), [integrations](), [jira](), [open](), [services](), [slack](), [sre](), [workflow](), [zoom]() ### AI overview This article explains how Harness AI SRE runbooks automate incident intake and early response. Triggered by alerts, manual actions, or incident changes, a runbook can create tickets, open Slack channels, start Zoom bridges, set incident fields, and record actions in the incident timeline. ### Source excerpt Automate incident intake with Harness AI SRE runbooks: auto-create tickets, open Slack channels, start Zoom bridges, and cut response time to seconds. | Blog ## Native auto-activate in Flox DevFeed: [Native auto-activate in Flox]() Original publisher: [Read original article]() Author: garbas Published: 2026-08-03T20:37:51Z Content type: opinion Language: en Sources: [Announcements - NixOS Discourse]() Topics: [Nix](), [Development]() Tags: [announcements](), [environment](), [environments](), [functionality](), [services](), [setup](), [using]() ### AI overview The post discusses Flox 1.14.0, which adds native auto-activation for development environments. It compares this functionality with direnv and nix-direnv, noting that Flox also supports services, layered environments, shell aliases, and functions. ### Source excerpt So: if you are using nix and use it to setup your development environments you are probably using direnv. most of nixers I know use it. you change the directory and it automagically enters your development environment. at flox we call this auto activation. We released Flox 1.14.0 and we made this functionality native. Steve even wrote about it in detail: Flox | Auto-Activation Is Now Native in Flox. First question I would have as a Nix user would be: "Why didn't you just use direnv and extend like nix does it with nix-direnv?". In short: we would love to, but our activation includes deeper features like services, layered environments, shell aliases and functions. If nothing what you should take from this post is that you give direnv a try if using nix. and with flox this functionality comes out of the box. Do you also wish this functionality would come OOTB with nix? 3 posts - 2 participants Read full topic ## wasmCloud 2.6: Trigger services, host component plugins, and warm instance pooling DevFeed: [wasmCloud 2.6: Trigger services, host component plugins, and warm instance pooling]() Original publisher: [Read original article]() Author: Eric Gregory Published: 2026-08-03T00:00:00Z Content type: release Language: en Sources: [wasmCloud Blog]() Topics: [WebAssembly](), [Messaging](), [Latency]() Tags: [components](), [dns](), [latency](), [plugins](), [services](), [stateful](), [streaming](), [wasmcloud](), [webassembly]() ### AI overview wasmCloud 2.6.0 and patch 2.6.1 introduce trigger services, host component plugins, warm-instance pooling, default NATS consumer groups for replicas, per-component DNS allowlists, Wasmtime 47 updates, and direct WASI 0.3 component builds. ### Source excerpt wasmCloud 2.6 ships trigger services, host component plugins (WebAssembly components that extend the host), warm-instance pooling, consumer groups by default for NATS messaging, and per-component DNS allowlists. ## AI speeds up code writing, but coordination across distributed services remains a system-design challenge DevFeed: [AI speeds up code writing, but coordination across distributed services remains a system-design challenge]() Original publisher: [Read original article]() Author: hello@ankit-rana.com Published: 2026-08-02T00:00:00Z Content type: opinion Language: en Sources: [Ankit Rana | Mechanical Sympathy]() Topics: [Artificial Intelligence](), [distributed-systems](), [backends](), [Microservice](), [migration](), [OpenAPI Specification]() Tags: [ai](), [alignment](), [architecture](), [backend](), [distributed-systems](), [migration](), [openapi](), [services](), [system-design]() ### AI overview The article argues that AI assistants have accelerated implementation work while leaving coordination between teams and services largely unchanged. It presents ownership boundaries, contract stability, migration coordination, and failure semantics as central system-design concerns because failures often occur between otherwise correct components. ### Source excerpt AI made the write path fast and left the coordination path untouched, so failures now live in the gaps between services: two event schema versions across two regions, three teams, and one assumption that someone else handled the migration window. Alignment work, deciding ownership boundaries, contract stability, and failure semantics before anyone opens an IDE, is system design, and it produces concrete network cost when skipped. ## OpenTelemetry Demo 3.0 introduces breaking changes to attributes, dashboards, and local deployment DevFeed: [OpenTelemetry Demo 3.0 introduces breaking changes to attributes, dashboards, and local deployment]() Original publisher: [Read original article]() Author: OpenTelemetry Authors; Docs CC BY Published: 2026-07-28T10:15:19Z Content type: opinion Language: en Sources: [Blog on OpenTelemetry]() Topics: [Demo](), [OpenTelemetry](), [Maintainability](), [dashboards](), [Kafka]() Tags: [changes](), [dashboards](), [demo](), [maintainability](), [opentelemetry](), [services]() ### AI overview This article explains intentional breaking changes in OpenTelemetry Demo 3.0, including renamed custom telemetry attributes, broken dashboards and queries, and a revised local-run configuration split across multiple files. The changes aim to improve maintainability and make forks easier to manage. ### Source excerpt If you've been running the Demo for some time, you may have seen a couple of structural changes lately, and you may even have gotten mad about things not working as expected. We feel your pain and we totally understand it. Unfortunately there was no better way to change things without breaking the existing flow. Some of what you knew is gone. New services were added. Attribute names have changed. If you had dashboards with custom metrics, everything is broken now. ## How a status page can show a site at its best (and 10 examples) DevFeed: [How a status page can show a site at its best (and 10 examples)]() Original publisher: [Read original article]() Author: James Konik Published: 2026-07-15T07:00:00Z Content type: article Language: en Sources: [Honeybadger]() Topics: [incident](), [Tool](), [data]() Tags: [article](), [communication](), [customer](), [developer-tools](), [devops](), [devops-articles](), [incident](), [maintenance](), [metrics](), [services](), [tool](), [uptime]() ### AI overview This article explains why public status pages help build customer trust, communicate incidents and scheduled maintenance, and demonstrate service reliability. It outlines principles for effective status pages, including clarity and useful metrics, and presents examples before showing how to set one up with Honeybadger. ### Source excerpt A status page is an essential tool for keeping users updated, but how can you make sure yours is the best possible? In this article you'll see how to make your status page perfect, and how Honeybadger can help you do that. ## When Duplicated Code Is the Better Tradeoff DevFeed: [When Duplicated Code Is the Better Tradeoff]() Original publisher: [Read original article]() Author: Franco Fernando Published: 2026-07-04T06:05:31Z Content type: opinion Language: en Sources: [The Polymathic Engineer]() Topics: [Software Engineering](), [Code](), [distributed-systems](), [Microservice](), [Library]() Tags: [abstraction](), [bugs](), [code](), [components](), [distributed](), [distributed-systems](), [reusable-code](), [services](), [software](), [software-engineering](), [teams]() ### AI overview This article examines when following the DRY principle creates more cost than value. It argues that duplicated code can be reasonable when abstraction adds coordination overhead, tight coupling, or inflexibility, especially across distributed services and teams whose code may evolve differently. ### Source excerpt When duplicated code is the better tradeoff. ## Deploy a Private Hermes Agent on Render Securely with Pulumi, Modal, and Tailscale DevFeed: [Deploy a Private Hermes Agent on Render Securely with Pulumi, Modal, and Tailscale]() Original publisher: [Read original article]() Author: Engin Diri Published: 2026-06-24T00:00:00Z Content type: tutorial Language: en Sources: [Pulumi]() Topics: [Artificial Intelligence](), [Deployment](), [Self-hosted](), [Open Source](), [hosting](), [cloud-infrastructure](), [Code](), [ui](), [Messaging]() Tags: [agent](), [ai](), [ai-agents](), [building](), [code](), [hosting](), [how-to](), [modal](), [open-source](), [pulumi](), [pulumi-esc](), [python](), [render](), [security](), [self-hosting](), [server](), [services](), [tailscale](), [tutorials](), [typescript](), [ui]() ### AI overview A tutorial for deploying a private Hermes AI agent with Pulumi across Render, Modal, and Tailscale. Render hosts private services, Tailscale provides tailnet access, and Modal runs agent-generated code in temporary sandboxes. ### Source excerpt Personal AI agents had their breakout this year. OpenClaw crossed 100,000 GitHub stars within months of launching, and self-hosting your own assistant went from a hobbyist trick to something a lot of developers actually do. I wrote up how to deploy that lobster to AWS or Hetzner back when it was everywhere. The one people are switching to now is Hermes, the open-source runtime from Nous Research, and it caught on just as quickly. The reason shows up in every "I ditched OpenClaw for Hermes" thread: it actually learns, building up memory and writing its own skills as it goes instead of running off a static, human-written list. Here is the part the launch videos skip. Hermes writes and runs its own code, with no human approving the commands. A model that can write code will eventually write a bad one, and the only thing between that command and your credentials is the sandbox it runs in. That is the box you do not want on the public internet. Researchers found 175,000 exposed Ollama servers sitting open in early 2026, and attackers hijack the ones they find for compute. The fix is not a better lock on the front door. It is to have no front door at all. So this post deploys a private Hermes agent as one Pulumi program across Render, Modal, and Tailscale. The agent and its chat UI run as Render private services with no public URL, Tailscale puts the UI on your tailnet, and Modal runs the agent's code in throwaway sandboxes. One pulumi up to stand it up, one pulumi destroy to tear it down, around $50 a month. No Makefile, no CLI escape hatches, and an honest look at the few places "nothing on the public internet" still leaks. What is Hermes? Hermes is the open-source, MIT-licensed agent runtime from Nous Research. It runs continuously on a server rather than living in a browser tab, and you talk to it through a chat UI or a messaging platform like Telegram, Discord, Slack, or Signal. A few things make it more than a chatbot: It is model-agnostic. You point it at any provi ## How to start a successful freelance web design business DevFeed: [How to start a successful freelance web design business]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-06-19T00:00:00Z Content type: tutorial Language: en Sources: [Webflow Blog]() Topics: [web design](), [Web](), [Website](), [User experience (UX)](), [Software as a service]() Tags: [business](), [freelance](), [freelance-web-design](), [guide](), [how-to](), [services](), [strategy](), [web-design](), [work]() ### AI overview This eight-step guide explains how to start a freelance web design business, including defining a niche, setting services and rates, building a portfolio, managing finances and client work, handling legal requirements, creating contracts, and marketing the business. ### Source excerpt This eight-step guide covers everything you need to start a web design business, turning one-off freelance projects into a stable, scalable brand. ## Extract Text from Your PDF and Image Files with Apache Tika DevFeed: [Extract Text from Your PDF and Image Files with Apache Tika]() Original publisher: [Read original article]() Author: Nic Raboy Published: 2026-06-13T00:45:07Z Content type: tutorial Language: en Sources: [Nic Raboy]() Topics: [Docker Compose](), [Docker](), [container](), [AI search]() Tags: [ai](), [browser](), [command-line](), [container](), [docker](), [how-to](), [image](), [pdf](), [rag](), [services](), [xml]() ### AI overview This tutorial explains how to deploy Apache Tika with Docker or Docker Compose and use it to extract text from PDF, image, and other document formats. The extracted text can provide plaintext context for local AI tools and RAG workflows. ### Source excerpt With AI becoming increasingly popular in everything, and retrieval-augmented generation (RAG) becoming a requirement in everyone's organization, how you're providing context to the AI tools becomes im... The post Extract Text from Your PDF and Image Files with Apache Tika appeared first on The Polyglot Developer. ## Commercial Invoice: Definition, Required Fields, and Template (2026) DevFeed: [Commercial Invoice: Definition, Required Fields, and Template (2026)]() Original publisher: [Read original article]() Author: Aarthi Poonia Published: 2026-06-12T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [Finance]() Tags: [2026](), [accounting](), [b2b](), [billing](), [compliance](), [components](), [consulting](), [cross-border](), [india](), [invoicing](), [payment](), [saas](), [services](), [tax](), [us](), [usb]() ### AI overview This guide explains commercial invoices, the fields they require, and when SaaS businesses use them for cross-border B2B contracts, professional services, trade finance, and hardware-related shipments. It also describes how modern SaaS billing handles international invoicing. ### Source excerpt Commercial invoice explained. What it is, what fields are mandatory, when SaaS sellers use them, and how MoR billing handles cross-border invoicing. ## From Docker Compose to Kubernetes: A Practical Migration Guide (2026) DevFeed: [From Docker Compose to Kubernetes: A Practical Migration Guide (2026)]() Original publisher: [Read original article]() Author: Urolime Technologies Published: 2026-06-11T13:06:36Z Content type: tutorial Language: en Sources: [Kubernetes Archives - Urolime Blogs]() Topics: [Docker Compose](), [Kubernetes](), [migration](), [Development]() Tags: [complexity](), [compose](), [container](), [guide](), [kubernetes](), [kubernetes-consulting-services](), [kubernetes-services](), [migration](), [migration-guide](), [services](), [speed](), [systems](), [testing](), [volumes](), [yaml]() ### AI overview A practical guide comparing Docker Compose with Kubernetes for applications that outgrow local or small deployments. It explains Kubernetes capabilities such as scaling, self-healing, declarative infrastructure, service discovery, load balancing, and portability, and introduces the architectural and operational changes involved in migration. ### Source excerpt In the very first stages of application development, approach simplicity and speed are the main aspects that matter. That's why Docker Compose has long been a preferred tool for developers who are building and testing multi-container applications. However, as systems grow - in feature, size and complexity, organizations inevitably reach a point where Compose no [...] ## Opinionated Ktor Services DevFeed: [Opinionated Ktor Services]() Original publisher: [Read original article]() Author: Simon Vergauwen Published: 2026-05-21T00:00:00Z Content type: opinion Language: en Sources: [nomisRev]() Topics: [Ktor](), [Kotlin]() Tags: [2026](), [conference](), [kotlin](), [kotlinconf](), [ktor](), [microservices](), [opinions](), [services](), [talk]() ### AI overview The author describes a KotlinConf 2026 talk about using Ktor and the Kotlin ecosystem to build robust, maintainable, and scalable services. The talk presents the author's opinions on structuring Ktor services and choosing libraries, based on experience with teams. ### Source excerpt Today I gave a talk at KotlinConf 2026 in Munich about "Opinionated Ktor Services". In this talk, I shared my experience and opinions on how to build robust, maintainable, and scalable services using Ktor and the Kotlin ecosystem. ## Your event-driven architecture is a distributed monolith -- and that's fine, if you measure it DevFeed: [Your event-driven architecture is a distributed monolith -- and that's fine, if you measure it]() Original publisher: [Read original article]() Author: fidelitas.io Published: 2026-05-15T10:30:00Z Content type: opinion Language: en Sources: [fidelitas.io]() Topics: [event driven](), [Messaging](), [Structured-data](), [Traces](), [interface]() Tags: [architecture](), [coupling](), [decoupling](), [distributed-systems](), [event-driven-architecture](), [messaging](), [observability](), [schemas](), [services](), [traces]() ### AI overview This opinion article argues that event-driven systems can become distributed monoliths when message brokers hide rather than remove coupling. It focuses on explicit, versioned, validated schemas and traces as ways to reveal dependencies and diagnose failures. ### Source excerpt Async messaging didn't decouple your services; it hid the coupling. Here's how to find the seams again with traces, schemas, and a healthy fear of fan-out. [Next page]()