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@devopslinks shared a link, 4ย weeks, 1ย day ago
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Scaling a Monolith to 1M LOC: 113 Pragmatic Lessons from Tech Lead to CTO

The post discusses performance issues related to page counts, long cron-job reads, RAM pressure, and offloading work to background jobs. It also touches on common sources of front-end performance issues, the importance of running EXPLAIN on DB queries, and the benefits of cultivating a culture of op.. read more ย 

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@devopslinks shared a link, 4ย weeks, 1ย day ago
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Deployment strategies: Types, trade-offs, and how to choose

Deployment strategies control traffic shifts, rollback speed, and release risk. Options:canary,blueโ€‘green,rolling,feature flags,shadow,immutable, andGitOps. Strategies trade production risk for setup cost. They pair withArgo Rollouts,Kayenta,ArgoCD/Flux, service meshes, and flag platforms. Pipelines.. read more ย 

Deployment strategies: Types, trade-offs, and how to choose
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@devopslinks shared a link, 4ย weeks, 1ย day ago
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Supply Chain Attack on Axios Pulls Malicious Dependency from npm

A supply chain attack on Axios introduced a malicious dependency, plain-crypto-js@4.2.1, published minutes earlier and absent from the projectโ€™s GitHub releases... read more ย 

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@devopslinks shared a link, 4ย weeks, 1ย day ago
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Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fle

Cloudways scaled from a bootstrapped startup to a leading managed PHP hosting service, encountering challenges with growing support load. Early on, Cloudways recognized the opportunity to implement an AI-based SRE agent to reduce the burden on support teams and provide faster diagnosis and resolutio.. read more ย 

Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fle
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐˜—๐˜ฐ๐˜ด๐˜ต-๐˜˜๐˜ถ๐˜ข๐˜ฏ๐˜ต๐˜ถ๐˜ฎ ๐˜Š๐˜ณ๐˜บ๐˜ฑ๐˜ต๐˜ฐ๐˜จ๐˜ณ๐˜ข๐˜ฑ๐˜ฉ๐˜บ: Preparing for ๐˜๐—ต๐—ฒ ๐—ก๐—ฒ๐˜…๐˜ ๐—–๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐—˜๐—ฟ๐—ฎ

๐Ÿš€ ๐˜—๐˜ฐ๐˜ด๐˜ต-๐˜˜๐˜ถ๐˜ข๐˜ฏ๐˜ต๐˜ถ๐˜ฎ ๐˜Š๐˜ณ๐˜บ๐˜ฑ๐˜ต๐˜ฐ๐˜จ๐˜ณ๐˜ข๐˜ฑ๐˜ฉ๐˜บ: Preparing for ๐˜๐—ต๐—ฒ ๐—ก๐—ฒ๐˜…๐˜ ๐—–๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐—˜๐—ฟ๐—ฎ Quantum computers are approaching, and with them comes a threat to traditional encryption like RSA and ECC. At ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐——, weโ€™re taking action now to ensure your infrastructure stays secure in a post-quantum world. How weโ€™re prepar..

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@eon01 shared a post, 1ย month ago
Founder, FAUN.dev

16 Things Anthropic Didn't Want You to Know About Claude Code

Claude Code

Earlier today (March 31, 2026), Anthropic accidentally shipped the full source code of Claude Code inside an npm package. The 512,000 lines of TypeScript have since been picked apart by the developer community, and what's inside is more revealing than anyone expected.

Claude Code Leaked
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@kala shared an update, 1ย month ago
FAUN.dev()

Anthropic Accidentally Leaks Claude Code's Entire Source Code via npm

#Claude ...ย  #Claude ...ย  #NPMย  #Anthrop...ย  #AIย 
Claude Code

Anthropic shipped a source map file inside the latest npm release of Claude Code - and with it, the full source code of its flagship AI coding CLI. The leak exposed 512,000 lines of TypeScript across 1,900 files, 43 built-in tools, 44 feature flags, 26 hidden slash commands, and over 120 secret environment variables. It is one of the most detailed accidental exposures of a commercial AI product's internals to date.

Claude Code leaked source
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@himanshu shared a post, 1ย month ago

What if your backend is failing but your UI looks perfectly fine?

Struggling with hidden bugs? Learn how application programming interface testing ensures accurate data flow, security, and performance.

api testing
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@cubeapm shared a post, 1ย month ago

How OpenTelemetry Helps Teams Change Observability Backends Without Re-Instrumenting Everything

1. OpenTelemetry reduces backend coupling by standardizing how telemetry is generated, described, transported, and processed before it reaches any observability platform.

2. The biggest migration advantage comes from using OpenTelemetry APIs and SDKs, OTLP, and the Collector, which make telemetry pipelines more portable across backends.

3. The Collector is the operational pivot point because it can receive, process, and export telemetry to one or more destinations from a centralized control layer.

4. OpenTelemetry does not eliminate backend migration work, since teams still need to validate dashboards, alerts, queries, retention rules, and other backend-specific workflows.

5. The safest migration approach is incremental: standardize telemetry first, validate both old and new backends, then cut over gradually.

How OpenTelemetry Helps Teams Change Observability Backends Without Re-Instrumenting Everything
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐—๐—ฎ๐—ฝ๐—ฎ๐—ป ๐—œ๐—ง & ๐——๐—ซ ๐—ช๐—ฒ๐—ฒ๐—ธ!

๐Ÿš€ ๐—›๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐—ง๐—ผ๐—ธ๐˜†๐—ผ ๐—ณ๐—ผ๐—ฟ ๐—๐—ฎ๐—ฝ๐—ฎ๐—ป ๐—œ๐—ง & ๐——๐—ซ ๐—ช๐—ฒ๐—ฒ๐—ธ! ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— will be at the 23rd Information Security Expo Spring 2026 from April 8โ€“10 at Tokyo Big Sight โ€“ ๐—๐—ฎ๐—ฝ๐—ฎ๐—ปโ€™๐˜€ ๐—น๐—ฎ๐—ฟ๐—ด๐—ฒ๐˜€๐˜ ๐˜€๐—ต๐—ผ๐˜„๐—ฐ๐—ฎ๐˜€๐—ฒ ๐—ณ๐—ผ๐—ฟ ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐˜€๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป๐˜€. Come see how our advanced ADC and secure application delivery solutions help protect critical infr..

japan it dx week april 26 relianoid
NanoClaw is an open-source personal AI agent designed to run locally on your machine while remaining small enough to fully understand and audit. Built as a lightweight alternative to larger agent frameworks, the system runs as a single Node.js process with roughly 3,900 lines of code spread across about 15 source files.

The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.

A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating systemโ€“level sandboxing rather than application-level permission checks.

The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.

By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.