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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

📢 RELIANOID is heading to Frankfurt!

We're excited to attend Next IT Security – C-Suites Edition: Redefining Cyber Resilience in DACH, taking place on November 27th, 2025. “The time is always right to do what is right.” – Martin Luther King Jr. This exclusive summit brings together top CISOs, CTOs, and cybersecurity leaders from across..

next IT security frankfurt relianoid
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@anjali shared a link, 1 month ago
Customer Marketing Manager, Last9

Top 7 Observability Platforms That Auto-Discover Services

Auto-discovery tools now detect services as they appear and build dashboards instantly. Here are seven platforms that do it well.

grafana_tempo
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@cadet15789 shared a link, 1 month ago
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Cut Your Docker Build Time in Half: 6 Essential Optimization Techniques

Pro tips to write dockerfiles. Cut your build timing of your images by half.

Dockerfiles
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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

The JLR Cyber Incident: A Warning Shot for the Automotive Industry

The major cyberattack that halted Jaguar Land Rover’s production for almost six weeks has exposed a hard truth: modern automotive manufacturing is deeply vulnerable to digital disruption. From frozen assembly lines to supplier chaos and regional economic fallout, the incident showed how quickly a si..

Supply-Chain-in-the-Automotive-Industry_RELIANOID
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@anjali shared a link, 1 month ago
Customer Marketing Manager, Last9

What is AWS Fargate for Amazon ECS?

Understand how AWS Fargate runs your ECS containers without servers—just define CPU, memory, and networking, and AWS handles the compute.

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@shurup shared a post, 1 month ago
@palark

Helm v4 new features and changes

Helm

Helm v4 has been released a week ago. Its highlights are: - Server-Side Apply instead of 3-Way Merge - WASM plugins - Using kstatus for resource tracking - Content-based chart caching This articleprovides a detailed overview of why these changes were made in Helm v4 and what they bring for Helm user..

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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

✈️ Ensuring Efficiency and Security in Airport Operations

Today we highlight our main diagram “Airport Software Systems”, showcasing how integrated airport management platforms —from AODB to landside & airside operations, billing, and information systems— work together to ensure efficient and secure airport operations. We also explain how load balancing en..

Airport Software Systems
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@anjali shared a link, 1 month ago
Customer Marketing Manager, Last9

OTel Updates: Complex Attributes Now Supported Across All Signals

OTLP 1.9.0 adds support for maps, arrays, and byte arrays across all OTel signals. Here's when to use complex attributes and when to stick with flat.

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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

SOC 2 Compliance

📢 At RELIANOID, we follow SOC 2 Trust Service Criteria to ensure Security, Availability, Confidentiality, Processing Integrity, and Privacy across our load balancing solutions — whether on-prem, cloud, or hybrid. Our controls align with the needs of highly regulated environments such as finance, hea..

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@varbear shared a link, 1 month ago
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Chinese Hackers Use Anthropic's AI to Launch Automated Cyber Espionage Campaign

Chinese state-backed threat actorsorchestrated automated cyber attacks using AI technology developed byAnthropicin a highly refinedespionage campaignin mid-September 2025. The attackers leveraged AI to execute 80-90% of tactical operations independently at physically impossible request rates, markin.. read more  

Chinese Hackers Use Anthropic's AI to Launch Automated Cyber Espionage Campaign
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.