Ditch Agents for Persistent State?

How ETS tables and purpose-built GenServers deliver better performance and recovery at scale.

Welcome to GigaElixir Gazette, your 5-minute digest of Elixir ecosystem news that actually matters πŸ‘‹.

At Gigalixir, we're the only platform built specifically for Elixir/Phoenix apps – giving you distributed clustering, remote console, and production observer without the DevOps nightmare.

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πŸ“Š Honeybadger Launches Automatic Dashboards for Elixir Telemetry:

Honeybadger has released new performance monitoring dashboards that automatically capture and visualize Elixir telemetry data without complex setup.

The dashboards provide direct access to transform, query, and alert on the underlying metrics – living up to their tagline, "no black boxes, just total visibility."

πŸ’» Getting Started with Phoenix LiveView: Build Real-Time UIs in Pure Elixir:

A comprehensive tutorial on building dynamic web interfaces with Phoenix LiveView is making rounds in the community, breaking down the basics from installation to form handling.

The guide shows how to create interactive components like counters and real-time forms with just a few lines of Elixir – no JavaScript required.

⚑ "Elixir Gave Me Immortality": SaaS Platform Ditches Go for Elixir:

A real-time collaboration platform has documented their migration from Go to Elixir, reporting dramatic improvements in resilience and developer productivity.

Their architecture now handles 200k+ concurrent WebSocket connections per node while eliminating dependencies on Redis and Kafka that their Go implementation required.

Most compelling is their ability to deploy without dropping connections and how processes automatically recover from crashes – capabilities that transformed both their operations and their team's sleep schedule.

. PRO TIPS .

Stop Over-Using Agents for Persistent State

The conventional wisdom in Elixir has been to reach for Agents whenever you need persistent state because they're simple, lightweight, and part of the standard library. But what smart teams know is that this "Agents everywhere" approach creates hidden bottlenecks as applications scale.

While everyone else is spinning up Agents for every bit of shared state, performance-conscious teams are strategically using ETS tables and purpose-built GenServers with clear supervision strategies. This approach provides dramatically better throughput, more predictable recovery patterns, and improved visibility during debugging sessions.

The difference becomes stark at scaleβ€”a single Agent becomes a synchronization point as concurrent access increases, while an ETS table can handle thousands of concurrent reads with minimal contention. Similarly, a well-designed GenServer with batching capabilities and a focused API boundary gives you better control over concurrency, data consistency, and hot code upgrades than a generic Agent implementation ever could.

Remember, for persistent state:

  1. Use ETS for high-concurrency read scenarios

  2. Design focused GenServers with clear API boundaries

  3. Consider supervision strategies during state design

  4. Implement strategic batching for write-heavy workloads

  5. Measure and test your state approach under realistic concurrency

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Deploy your next Elixir app hassle-free with Gigalixir and focus more on coding, less on ops.

We're specifically designed to support all the features that make Elixir special, so you can keep building amazing things without becoming a DevOps expert.

See you next week,

Michael

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