Category: Engineering
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AI SRE Agent for On-Call Engineers: How OpsAI Cuts MTTR From Hours to Minutes
On-call engineering is one of the hardest knowledge-transfer problems in software, and most AI SRE agent for on-call engineers conversations start in the wrong place. A junior engineer inherits a production system at 2 AM with a P1 alert firing. They have no context for why the service behaves the way it does. Traditional runbooks…
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AWS Lambda observability with Middleware: a setup guide
Lambda makes shipping serverless applications fast, but troubleshooting slow executions, cold starts, or failed invocations often means switching between CloudWatch, X-Ray, and multiple monitoring tools. This guide walks you through setting up end-to-end AWS Lambda observability with Middleware from connecting your AWS account and enabling OpenTelemetry-based remote instrumentation to collecting correlated logs, metrics, and traces.…
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How Middleware turns OpenTelemetry data into actionable intelligence – part 2
In part1, we covered how Middleware helps engineering teams new to OpenTelemetry achieve full infrastructure and application coverage in hours rather than weeks through auto-discovery, zero-code instrumentation, and UI-based collector configuration. In this blog post, I will be going to discuss about platform teams who are already using OpenTelemetry setup in their infrastructure and applications. What…
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How Middleware makes OpenTelemetry-based observability setup faster – part1
TL;DR OpenTelemetry is the default choice for observability, but getting it fully configured across a real infrastructure can take two to three sprints. Middleware’s auto-discovery agent detects every application and database running across your entire host fleet in minutes no manual inventory. Zero-code instrumentation lets you instrument selected services without touching your codebase, using a…
