Zero downtime PostgreSQL upgrades on Kubernetes are possible โ if done right.
Learn how to upgrade @CloudNativePg clusters with minimal disruption using replication.
Read the full guide: https://t.co/7BSbVB7wSa
#postgresql#kubernetes
Learn how we upgraded Postgres from v13 to v18 with near zero downtime using blue green strategy. We are also sharing the learnings and common pitfalls that you should take care of.
https://t.co/f3FN796VU5
๐ New GKE Feature: Pod Snapshots
Stop burning GPU $$$ on "warm-up" times. Snapshot the memory/GPU state and resume LLMs or Agents in sub-seconds.
โก๏ธ Sub-second starts
๐ Zero idle GPU cost
๐ Managed by GKE
Stateful is the new Serverless. ๐ ๏ธ
#GKE#AI#K8s#GPU
AWS Batch gives you compute orchestration. But job status metrics don't exist in CloudWatch by default.
Visible on the Batch dashboard. Invisible to your monitoring stack.
Critical observability gap for data pipelines, ML workloads, ETL systems.
๐ https://t.co/CR5bOJNDXy
High staff turnover means institutional knowledge keeps leaving across 100+ branches. A multilingual voice AI that answers recipe and SOP queries in under 3 seconds, in any language the staff speaks.
๐ https://t.co/8Vfmv8QebC
#VoiceAI#MultilingualAI#QSR
Built a Degrowth Agent for a 100+ branch QSR chain that maps every branch's demand funnel daily and delivers root cause to managers the same morning.
Read the full case study๐ https://t.co/ifHI8amQYj
Sovereign AI has moved from whitepapers to national strategy agendas.
Yotta, Microsoft, Google, L&T, Tata, E2E - all moving fast. These cloud initiatives are reshaping how countries train models domestically, deploy without foreign dependency.
Read more: https://t.co/3n9SMN7kl9
AI agents are in production, Klarna, PwC, Rakuten are proofs.
The framework you pick decides whether you ship or rebuild.
6 frameworks actually winning in 2026 ๐
https://t.co/kAp70Gi0ML
#AIAgents#EnterpriseAI
LLM observability goes far beyond uptime and error rates.
Tokens, context, GPU utilization, security, and most teams are only scratching the surface.
Deploying LLMs at scale? Read more: https://t.co/t2qrzh0sZ5
What's your biggest pain point in AI and LLM observability?
Heroku just signaled it's done innovating for growth-stage companies.
No new enterprise contracts. Sustaining mode only.
If you're still on Heroku in production, the migration conversation just became a priority.
Read the full blog: https://t.co/kaIVpw4SAG
Repetitive tasks draining your team's time?
AI Web Agents can book appointments, handle requests, extract data, and navigate complex workflows without breaking when things change.
Discover how AI Web Agents can streamline your workflows.
https://t.co/uw5mioQVj7
The AI landscape just shifted!
Last week: Claude Opus 4.6 & GPT-5.3-Codex dropped
Opus โ 1M token context, multi-agent teams, deep reasoning
Codex โ 25% faster, interactive steering, coding excellence
For your use case, what would you pick?
#OpenAI#Anthropic
Ingress NGINX is sunsetting.
New features will stop, security patches will wind down, and future Kubernetes compatibility isnโt guaranteed beyond March 2026.
Gateway API is emerging as the modern replacement.
Read our comparison blog: https://t.co/PfsYWuqNJD
Streaming data is easy.
Making it reliable and analytics-ready isnโt.
Practical lessons from building a production pipelineโtrade-offs, safe change handling, and scaling without over-engineering.
Worth reading if you work with operational analytics.
https://t.co/MmrSrepLeq
Enterprise AI agents are failing at scale due to hallucinations and unreliable reasoning.
The fix: Context Graphs organize knowledge as relationship networks, enabling multi-hop reasoning and traceable decisions.
Implementation guide: https://t.co/pkYuIpWMJ9
What actually works starts with treating context like infrastructure, not prompt text.
1๏ธโฃ Flatten Data Structures
2๏ธโฃ Context Caching
3๏ธโฃ Filter aggressively.
4๏ธโฃ Embed guardrails early.
"Context is the new source code."
As AI models converge in capability, what separates reliable systems from fragile ones is the context architecture, not the model choice. ๐งต
#ContextEngineering#AIInfrastructure