Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Introducing tfgen: configure your Terraform stacks using plain Go
Until recently, we extensively used HashiCorp's CDK for Terraform. Then they announced the end of its development. We didn't want to spend months migrating to a new ecosystem, but we needed a replacement. In the Infrastructure Team at Ably, we like Go. I wondered if there was an opportunity for something simpler.
Instant Kubernetes Observability with Proxymock #speedscale #kubernetes #ebpf #devops #cloudnative
Learn how to get instant observability into your Kubernetes cluster by installing the Speedscale operator and proxymock tool. In this step-by-step tutorial, we walk you through setting up the operator to capture live network traffic (including encrypted traffic, API calls, and database calls) without complex instrumentation or manual configuration.
UFO.Hosting Review (2026): Budget $6 VPS, 10 Gbps Uplinks & Bare-Metal Servers
Building a resilient server infrastructure requires a constant balance between hardware performance, network bandwidth, and overall cost. Hosting provider UFO.Hosting has drawn significant attention within the IT community due to its combination of affordable VPS plans, high-speed uplink ports reaching up to 10 Gbps, and a flexible choice of server deployment locations. The editorial team at SystemsDigest conducted a comprehensive analysis of the provider, evaluating company reliability, network connectivity, and hardware potential under heavy workloads.
Catch Issues BEFORE Production! #speedscale #vibecoding #devops #sre #softwareengineer
Instead of waiting for an alert to trigger a long, stressful triage and replication process, catch the issue before it reaches production by replaying real traffic against your code first.
AI is Exposing Observability's Dirty Secret
The 3 pillars of observability are breaking. For years, dev teams relied on Logs, Metrics, and Traces to know when something went wrong. But now? AI agents are writing, deploying, and changing code in real-time. When an AI hallucination pushes a bug to production, standard monitoring sees nothing wrong.To survive the AI era, we need a 4th Pillar of Observability. Watch to find out what it is and why the old way of monitoring just became obsolete.
Why Fable 5 is an Existential Crisis
#fable5 #softwareengineer #testing #softwaretesting
AI writes code in seconds, but delivery still takes days
The pitch for AI coding was speed. Claude Code, Copilot, Cursor, whatever you’re running, they all generate business logic faster than you can review it. That part is real. But look at what happens after the code gets written and the numbers get ugly. CircleCI’s 2026 State of Software Delivery Report found AI drove a 59% increase in average throughput.
CI/CD Testing Guide: What to Test at Every Pipeline Stage
Shipping fast is great until the wrong thing ships fast. A CI/CD pipeline can move code from commit to production in minutes, but speed alone does not tell you whether a login still works, a checkout flow still completes, or a critical form still submits. That is the job of CI/CD testing. The best pipelines do more than pass builds. They catch small problems before they become customer-facing ones, using the right mix of unit, integration, API, browser, smoke, and post-deployment tests.
How to Trace Microservices WITHOUT OpenTelemetry
Learn how to trace complex multi-hop transactions across microservices when OpenTelemetry isn't available or trace parents get lost. This quick tutorial demonstrates how to use full-text search in proxymock (a free CLI and UI tool) to isolate user journeys (like looking up a specific username) and instantly generate waterfall tracing views. Whether you are working locally or in a Kubernetes cluster, you can record API traffic, visualize multi-hop requests, and easily transition those captures into load or regression tests.