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Hello all:It has been a few months since my last question. Had a lot of other projects taking up my time, but I am back to fighting with my Planetarium lighting controller. I have it working, but I…Continue
Started Jun 20, 2012
Hello all:I have been working on a GUI interface for controlling lights in a planetarium. I had some trouble getting the communication to happen, and received some help from this forum to get past…Continue
Started this discussion. Last reply by Jackie Gleason Feb 10, 2012.
A while ago I asked a question about using RS-232 communication with Java. It seems as though I need to abandon that route because it no longer fits the desired system requirements. Thanks to Nem…Continue
Started this discussion. Last reply by Paul Stearns Oct 5, 2011.
Hello all: I am fairly new to the Java world and would like some advice on how to handle rs-232 communications with a Java based GUI I am working on. Several years ago I created a similar GUI with…Continue
Tags: communication, rs-232, using, application, Java
Started this discussion. Last reply by Nemanja Nesic - NEM- Jun 9, 2011.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Platform engineering should have a product focus, as developers are customers; they must provide composable, self-service capabilities, golden bricks rather than rigid golden paths, so teams can move quickly while maintaining consistency. Success is measured through adoption, developer experience, and business outcomes such as deployment frequency and change failure rate.
By Ben Linders
The OpenTofu community released version 1.12.0 on May 14, 2026. This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.
By Claudio Masolo
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Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.
By Rajesh Kumar Pandey
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work.
By Leela Kumili
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