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laura_garcia
@laura_garcia shared a post, 1 week, 6 days ago
Software Developer, RELIANOID

Tesco’s latest outage is a reminder: uptime IS the customer experience.

Shoppers across the UK faced checkout failures, broken order updates, and Clubcard access issues as Tesco’s digital platforms suffered “intermittent” instability. In modern retail, even brief disruptions damage trust, loyalty, and sales. At RELIANOID, we help retailers stay resilient with intelligen..

tesco outage
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anjali
@anjali shared a link, 1 week, 6 days ago
Customer Marketing Manager, Last9

Instrumentation: Getting Signals In

See how instrumentation in OpenTelemetry helps track app issues, know the difference between auto and manual methods, and when to use them.

otel_metrics_quarkus
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devopslinks
@devopslinks added a new tool Syft , 2 weeks ago.
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kaptain
@kaptain added a new tool KubeLinter , 2 weeks ago.
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@bridgecrewio started using tool checkov , 2 weeks ago.
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@devopslinks added a new tool Grype , 2 weeks ago.
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@kaptain added a new tool Hadolint , 2 weeks ago.
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@varbear added a new tool Bandit , 2 weeks ago.
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devopslinks
@devopslinks added a new tool JFrog Xray , 2 weeks ago.
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devopslinks
@devopslinks added a new tool OWASP Dependency-Check , 2 weeks ago.
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.