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@anjali shared a link, 3 months, 3 weeks ago
Customer Marketing Manager, Last9

OTel Updates: OpenTelemetry Proposes Changes to Stability, Releases, and Semantic Conventions

OpenTelemetry proposes stability changes: stable-by-default distributions, decoupled instrumentation, and epoch releases for production deployments.

otel_stability_update
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@laura_garcia shared a post, 3 months, 3 weeks ago
Software Developer, RELIANOID

deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform

🚀 New Technical Guide Available! You can now deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform in just a few minutes: ✔️ Install prerequisites (Terraform, Azure CLI, SSH keys) ✔️ Use the official Terraform module from the Registry ✔️ Automatically provision all Azure r..

terraform_relianoid_community_azure_img2
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@tairascott gave 🐾 to Helm 4 or Nelm? What's the difference , 3 months, 3 weeks ago.
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@tairascott gave 🐾 to Hidden Correlations Traditional Monitoring Misses , 3 months, 3 weeks ago.
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@anjali shared a link, 3 months, 3 weeks ago
Customer Marketing Manager, Last9

How to Track Down the Real Cause of Sudden Latency Spikes

Sudden latency spikes rarely have a single cause. This blog shows how to uncover the real source using traces, histograms, and modern debugging signals.

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@anjali shared a link, 3 months, 3 weeks ago
Customer Marketing Manager, Last9

Hidden Correlations Traditional Monitoring Misses

Last9 is built to work with high-cardinality telemetry, and we’ve been covering it in detail through our series. This piece looks at a familiar pain: issues that only show up for a specific tenant or deployment. Why does that context disappear in most monitoring setups?

anamoly_detection
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@shurup shared a post, 3 months, 3 weeks ago
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Helm 4 or Nelm? What's the difference

Helm werf

Helm 4.0.0 brought several new features to its users, such as Server-Side Apply support and kstatus-based resource watching.Nelm, an alternative to Helm created in werf, a CNCF Sandbox project, has been offering these capabilities even before. Nelm has many more new features for Kubernetes deploymen..

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@anjali shared a link, 3 months, 4 weeks ago
Customer Marketing Manager, Last9

Which Observability Tool Helps with Visibility Without Overspend

A detailed look at observability platforms so you can choose tools that keep visibility high and costs steady as your systems scale.

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@laura_garcia shared a post, 3 months, 4 weeks ago
Software Developer, RELIANOID

🚀 RELIANOID at DevOpsDays Tel Aviv 2025

📅 December 11, 2025 • 📍 Tel Aviv, Israel What a week ahead! Our team is working full-throttle as we prepare to attend three major events in just a few days — and we’re thrilled to add DevOpsDays Tel Aviv to the list. We’ll be joining the community to share how RELIANOID helps DevOps and platform tea..

devopsdays telaviv relianoid
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.