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@sancharini shared a post, 4ย weeks ago

Black Box vs White Box Testing in Unit, Integration & E2E Testing: Where Each Belongs

Understand where black box and white box testing belong across unit, integration, and E2E testing. Learn the right technique for every layer of your test suite.

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@laura_garcia shared a post, 4ย weeks, 1ย day ago
Software Developer, RELIANOID

Deploy RELIANOID Load Balancer Community Edition v7 on AWS in minutes with Terraform.

โšก Deploy RELIANOID Load Balancer Community Edition v7 on AWS in minutes with Terraform. From zero to a fully functional load balancer โ€” automated, reproducible, and ready to go. ๐Ÿ‘‰ Follow the step-by-step guide and get started fast. #Terraform#AWS#InfrastructureAsCode#DevOps#RELIANOID#Automation http..

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@vlebo added a new tool ctx_ , 4ย weeks, 1ย day ago.
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐—จ๐—ž ๐—ฃ๐—ฆ๐—ง๐—œ ๐—”๐—ฐ๐˜: ๐—” ๐—ก๐—ฒ๐˜„ ๐—˜๐—ฟ๐—ฎ ๐—ณ๐—ผ๐—ฟ ๐—–๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜๐—ฒ๐—ฑ ๐——๐—ฒ๐˜ƒ๐—ถ๐—ฐ๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜†

๐Ÿ” ๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—จ๐—ž ๐—ฃ๐—ฆ๐—ง๐—œ ๐—”๐—ฐ๐˜: ๐—” ๐—ก๐—ฒ๐˜„ ๐—˜๐—ฟ๐—ฎ ๐—ณ๐—ผ๐—ฟ ๐—–๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜๐—ฒ๐—ฑ ๐——๐—ฒ๐˜ƒ๐—ถ๐—ฐ๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† The UK is raising the bar on cybersecurity with the Product Security and Telecommunications Infrastructure (PSTI) Act, now in force since April 2024. As cyber threats continue to grow, this regulation introduces a baseline for ..

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@omarabid added a new tool Code Input , 1ย month ago.
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@hitechdigital created an organization HitechDigital Solutions , 1ย month ago.
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@varbear shared a link, 1ย month ago
FAUN.dev()

Introduction to PostgreSQL Indexes

This post is for developers that have an intuitive knowledge of what database indexes are, but donโ€™t necessarily know how they work internally, what are the tradeoffs associated with indexes, what are the types of indexes provided by postgres and how you can use some of its more advanced options to .. read more ย 

Introduction to PostgreSQL Indexes
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@varbear shared a link, 1ย month ago
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Bad Analogies:ย Not Every Money-Burning Company is Amazon

The essay discusses the misconceptions around companies that burn a lot of money, drawing comparisons to Amazon's successful strategy. It delves into examples like Uber and WeWork to highlight the importance of understanding the long-term implications of cash burn. The focus is on the strategies and.. read more ย 

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@varbear shared a link, 1ย month ago
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The Beginning of Programming as Weโ€™ll Know It

In the wake of AI coding assistants like Claude and Codex, many wonder if the human role of "computer programmer" is ending. Although AI shows promise, human developers are valuable in the current transitional period. Real programmers are uniquely positioned to harness AI's power while augmenting it.. read more ย 

The Beginning of Programming as Weโ€™ll Know It
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@varbear shared a link, 1ย month ago
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How Microsoft Vaporized a Trillion Dollars

A former Azure Core engineer recounts arriving on his first day to find a 122-person org seriously planning to port Windows-based VM management agents - 173 of them, which nobody could fully explain - onto a tiny, low-power ARM chip running Linux. The stack was already failing to scale on server-gra.. read more ย 

How Microsoft Vaporized a Trillion Dollars
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storageโ€”such as S3, GCS, or Azure Blob Storageโ€”to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempoโ€™s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.