Best of Microservices — January 2026

  1. 1
    Article
    Avatar of devtoDEV·14w

    Microservices Are Killing Your Performance (And Here's the Math)

    Microservices introduce significant performance overhead compared to monolithic architectures. Network calls add 1,000-5,000x latency versus in-process function calls, resulting in 50-150% higher latency, 300% more resource usage, and 2-3x infrastructure costs. Benchmarks show microservices suffer from cascading failures (5x more downtime), database connection exhaustion, and serialization overhead. The article argues microservices solve organizational problems (team autonomy, independent deployment) rather than technical ones, and recommends modular monoliths for most applications. Microservices only make sense for organizations with 50+ engineers, independent scaling requirements, technology diversity needs, or compliance isolation.

  2. 2
    Article
    Avatar of devtoDEV·16w

    My 2026 Tech Stack is Boring as Hell (And That is the Point)

    A senior engineer advocates for choosing simple, proven technology over complex, trendy solutions. The author describes moving from microservices and Kubernetes to a monolithic architecture running on a single VPS with SQLite or Postgres, arguing that most applications don't need the complexity of distributed systems. The piece emphasizes that users care about working features, not architecture choices, and that boring, battle-tested tools allow developers to ship products faster while maintaining lower costs and cognitive overhead.

  3. 3
    Article
    Avatar of threedotslabsThree Dots Labs·13w

    The Distributed Monolith Trap (And How to Escape It)

    Microservices solve organizational problems more than technical ones. Starting with a well-structured modular monolith is recommended over premature service splitting. Tight coupling persists even when services communicate over HTTP instead of function calls. Key warning signs include excessive inter-service calls and frequent cross-service changes. Event storming helps identify proper boundaries by mapping domain events and behaviors. Sometimes merging tightly coupled microservices back together is the right solution. Team structure should drive architecture decisions (reverse Conway maneuver), not the other way around.

  4. 4
    Article
    Avatar of bytebytegoByteByteGo·15w

    How Lyft Built an ML Platform That Serves Millions of Predictions Per Second

    Lyft built LyftLearn Serving, an ML platform handling millions of predictions per second using a microservices architecture. Instead of a shared monolithic system, they generate independent microservices for each team via configuration templates. The platform separates data plane concerns (runtime performance, inference execution) from control plane concerns (deployment, versioning, testing). Key features include automated model self-tests, flexible library support (TensorFlow, PyTorch), and dual interfaces for engineers and data scientists. The architecture uses Flask/Gunicorn for HTTP serving, Kubernetes for orchestration, and Envoy for load balancing. Over 40 teams migrated from the legacy system, achieving team autonomy while maintaining platform consistency.

  5. 5
    Article
    Avatar of faunFaun·13w

    Beyond the Monolith: The Rise of the AI Microservices Architecture

    LLM applications are evolving from monolithic architectures to microservices-based systems using agentic orchestration. This architectural pattern uses LangGraph as a central state machine to orchestrate independent, remote agents via HTTP calls, with semantic routing replacing brittle keyword matching. The hub-and-spoke model separates concerns: LangGraph maintains conversation state and makes decisions, semantic routing understands user intent, and specialized agents operate as independent HTTP services. This approach enables tech-agnostic development, independent scaling of components, fault tolerance, and better context management compared to traditional linear chains.

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    Article
    Avatar of springSpring·16w

    Spring gRPC 1.0.1 Available Now

    Spring gRPC version 1.0.1 has been released. This is a maintenance update for the Spring framework's gRPC integration, which enables Java developers to build gRPC-based services using Spring Boot conventions.

  7. 7
    Article
    Avatar of mondaymonday Engineering·13w

    The event sourcing architecture we didn't build

    Monday.com's Data Lifecycle team built a board retention system for enterprise admins in three months by choosing a pragmatic microservice approach over event sourcing. The solution tracks board activity using SNS events buffered through Redis and historical data from their warehouse, enabling automated archival based on configurable policies. While event sourcing with CQRS would have provided better extensibility across entity types, the team prioritized speed to validation, avoiding cross-team coordination and substantial infrastructure changes. The tradeoff: single-entity focus and feature-specific data sources instead of reusable projections, with plans to revisit shared infrastructure when duplication patterns emerge across multiple features.

  8. 8
    Article
    Avatar of auth0Auth0·13w

    Why Broken Access Control Still Dominates the OWASP Top 10 in 2026?

    Broken Access Control (BAC) and Broken Object Level Authorization (BOLA) remain the top security risks in OWASP rankings because they are logical vulnerabilities that automated scanning tools cannot detect. Unlike technical vulnerabilities with recognizable patterns, access control flaws require understanding business context and intent. The problem persists due to distributed authorization complexity in microservices, confusion between authentication and authorization, identity sprawl with non-human identities, and ad-hoc evolution of controls. Solutions include centralizing authorization code using Policy Decision Point/Policy Enforcement Point patterns, implementing Policy as Code with tools like OpenFGA or OPA, using fine-grained authorization, scoping database access to user context, and applying schema-based validation to prevent mass assignment attacks.

  9. 9
    Article
    Avatar of csharpcornerC# Corner·14w

    Event-Driven Architecture in .NET Core Using RabbitMQ

    Event-Driven Architecture (EDA) enables building scalable, resilient, and loosely coupled applications through asynchronous communication. RabbitMQ serves as a message broker implementing AMQP, providing reliable message delivery, flexible routing, and easy .NET integration. The pattern involves producers publishing events to exchanges, which route messages to queues where consumers process them asynchronously. Best practices include using meaningful event names, making events immutable, handling failures with retries and dead-letter queues, avoiding tight coupling between services, and using JSON for payloads. While EDA offers advantages like scalability and fault isolation, challenges include debugging complexity and eventual consistency.

  10. 10
    Article
    Avatar of mondaymonday Engineering·14w

    AI Agents at work: real-time platform insights in Slack

    Monday.com built an AI-powered Slack bot to help engineers monitor platform health and access real-time insights without leaving Slack. The solution uses LLM agents connected via Model Context Protocol (MCP) to query microservice data, with LangChain handling agent logic. Key challenges included preventing LLM hallucinations by pre-computing statistics server-side rather than letting the model calculate, tuning temperature parameters to reduce randomness, and carefully scoping the bot's capabilities. The team later added human-in-the-loop approval for data modifications and supervisor agent patterns for complex workflows. The bot now saves hours by automating repetitive queries about blocked users and service status.

  11. 11
    Article
    Avatar of istioIstio·14w

    Announcing Istio 1.28.3

    Istio 1.28.3 is a patch release that fixes several bugs to improve robustness. Key fixes include resolving goroutine memory leaks in ambient mode, addressing informer failures in ambient multicluster setups that previously required istiod restarts, and fixing NFT operation crashes and pod deletion failures. The release also adds a service.selectorLabels field to the gateway Helm chart for custom service selector labels during revision-based migrations.

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    Article
    Avatar of bytebytegoByteByteGo·15w

    EP197: 12 Architectural Concepts Developers Should Know

    A curated collection covering essential architectural patterns and developer tools. The main list includes 12 core concepts like load balancing, caching, CDN, message queues, API gateways, circuit breakers, sharding, and auto-scaling. Additional sections cover developer tools for 2026 (IDEs, version control, CI/CD, containers), five rate limiting strategies (fixed window, sliding window, token bucket, leaky bucket), live streaming protocols and workflow, and five leader election algorithms used in distributed databases (Bully, Ring, Paxos, Raft, ZooKeeper).

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    Article
    Avatar of collectionsCollections·14w

    This Week in Spring - January 20th, 2026

    Spring Framework ecosystem updates for mid-January 2026 include new Spring Boot releases with cloud-native enhancements and performance optimizations. Spring Cloud continues gaining traction for distributed systems development. The community remains active with contributions, tutorials, and discussions. Framework integrations with other Java technologies are advancing to simplify enterprise application development.

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