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@laura_garcia shared a post, 1 day, 9 hours ago
Software Developer, RELIANOID

𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗹𝗼𝗻𝗲 𝘄𝗼𝗻’𝘁 𝘀𝗮𝘃𝗲 𝘆𝗼𝘂.

🚨 𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗹𝗼𝗻𝗲 𝘄𝗼𝗻’𝘁 𝘀𝗮𝘃𝗲 𝘆𝗼𝘂.

HA handles failures like node crashes or AZ outages.

But what about:

❌ Ransomware

❌ Region-wide outages

❌ Human error

👉 That’s 𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗥𝗲𝗰𝗼𝘃𝗲𝗿𝘆 (𝗗𝗥) territory.

Real-world proof:

GitLab → redundancy ≠ recovery

Maersk → one offline backup saved everything

Code Spaces → no DR = shutdown

🎯 𝗛𝗔 = 𝗸𝗲𝗲𝗽 𝗿𝘂𝗻𝗻𝗶𝗻𝗴

🎯 𝗗𝗥 = 𝗰𝗼𝗺𝗲 𝗯𝗮𝗰𝗸 𝗳𝗿𝗼𝗺 𝗳𝗮𝗶𝗹𝘂𝗿𝗲

At RELIANOID, we design both:

✔️ HA with clustering & failover

✔️ DR with multi-region + immutable backups

Because uptime is good—but 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 𝗶𝘀 𝗯𝗲𝘁𝘁𝗲𝗿.

#HighAvailability #DisasterRecovery #Resilience #Cloud #DevOps #RELIANOID

https://www.relianoid.com/blog/beyond-high-availability-why-disaster-recovery-matters-and-how-relianoid-delivers/

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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.