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@kala added a new tool GPT-5.3-Codex , 3 weeks, 4 days ago.
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@laura_garcia shared a post, 3 weeks, 6 days ago
Software Developer, RELIANOID

🔐 CISO Sydney 2026

📍 Sydney, Australia | 🗓 10–11 February 2026 CISO Sydney returns for its 5th edition, bringing together New South Wales’ most senior Information Security leaders to explore how cybersecurity can truly enable business growth. From AI-driven threats and shared risk responsibility to culture-first secur..

ciso sydney 2026 relianoid
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@nelly96 added a new tool GPTHuman , 1 month ago.
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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

Want to deploy RELIANOID Load Balancer Enterprise Edition v8 on AWS using Terraform in a clean, automated way?

We’ve got you covered. In this step-by-step guide, you’ll learn how to: Use the official Terraform module from the Terraform Registry Automatically provision VPC, subnet, security groups, and EC2 Deploy the RELIANOID Enterprise Edition AMI Access the VM via SSH and Web GUI Easily destroy all resourc..

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@sancharini shared a post, 1 month ago

Interpreting Software Testing Metrics Beyond Dashboards

Learn how to interpret software testing metrics beyond dashboards, turning raw data into actionable insights that improve release decisions and reduce risk.

Interpreting Software Testing Metrics Beyond Dashboards
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@idjuric660 shared a post, 1 month ago
Technical Content Writer, Mailtrap

5 Best Email API for Python Developers Tested & Compared

The best email APIs for Python developers are Mailtrap, Mailgun, SendGrid, Amazon SES, and Postmark. SDK quality & framework compatibility All five providers offerPythonSDKs and they’re compatible with popular frameworks. I tested each withDjango,Flask, and FastAPI to assess real-world integration. ..

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@jordanunix created an organization DevOpsDayLA , 1 month ago.
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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

💡 Third-Party Vendors: The Hidden Cybersecurity Risk

In today’s hyper-connected world, digital supply chains are only as secure as their weakest link. One single vendor can open the door to ransomware, outages, or worse. At RELIANOID, we take this risk seriously. 🔒 That’s why we apply: ✅ Continuous vendor risk assessments ✅ Real-time monitoring of thi..

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@varbear shared a link, 1 month ago
FAUN.dev()

Software engineering when machine writes the code

In 1968, computer scientists identified the "software crisis" - the existing methods of programming were struggling to handle the power of computers. Today, AI coding assistants are accelerating productivity, but concerns arise about understanding the code they generate, the implications for debuggi.. read more  

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@varbear shared a link, 1 month ago
FAUN.dev()

Unconventional PostgreSQL Optimizations

PostgreSQL 18 now supportsvirtual generated columns, indexable expressions without burning storage. Perfect for standardizing queries in analytics-heavy pipelines. Pair that withplanner constraint exclusion(constraint_exclusion=on), and Postgres can dodge irrelevant table scans based on constraints... read more  

Unconventional PostgreSQL Optimizations
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 storage—such as S3, GCS, or Azure Blob Storage—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.

Tempo’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.