Not every great conference speaker has done it before.
If you've been considering submitting to #OSSummit + #EmbeddedLinux Europe, this is your sign. First-time speakers are encouraged, and our team is happy to help along the way.
📅 CFP closes 24 June
🔗 https://t.co/mpk2t79nje
Claude Fable 5 is our first generally available Mythos-class model.
It ships with new safety classifiers that may flag certain prompts in dual-use domains like cyber and bio.
We've added fallbacks: a refused request retries on Claude Opus 4.8 instead of dead-ending.
Anthropic and OpenAI are both telling engineers to write loops.
Not prompts.
Not agents.
Loops.
That is not a coincidence.
When the two most important AI labs on the planet independently converge on the same pattern — that is a signal worth paying attention to.
Most engineers are still thinking in terms of single calls.
Input → model → output.
The engineers winning in 2026 think in cycles.
Output becomes input. The model evaluates its own work. The loop runs until the result is right.
This is the complete breakdown of what loops are, why they matter, and how to build them ↓
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
Our security bug bounty program is now public on HackerOne.
We've run the program privately within the security research community, and their findings have strengthened our products. Now anyone can report vulnerabilities and get rewarded.
Read more: https://t.co/li1QvSTCMs
Terraform and AWS have just released a set of pre-written Sentinel policies designed to help get you started with ISO 27001 compliance. https://t.co/X6tEQGOTXa
Senior DevOps Engineer Interview at @JioHotstar
Round 1 – Streaming at Scale, K8s, Cloud & Linux (45 mins)
1. How would you design auto-scaling for 50M+ concurrent viewers across multiple K8s clusters without over-provisioning?
2. During an IPL final, a new region needs to spin up instantly. How would you pre-warm nodes & scale workloads with zero cold-start impact?
3. Explain how you’d use Envoy + Istio to route low-latency live streams differently from VOD without service restarts.
4. What’s your approach to multi-zone pod affinity/anti-affinity to ensure a node failure doesn’t impact regional streaming SLAs?
5. How would you monitor HPA scaling decisions in real-time and detect if the metrics server is lagging?
6. Describe K8s readiness/liveness probe configs to catch buffering/lag issues in stream-processing microservices before users notice.
7. A kube-proxy update rolls out mid-match. What’s your network rollback plan to avoid packet drops?
Round 2 – RCA, Fire Drills & Streaming Chaos (75 mins)
1. Playback failures spike for only 3% of users in the APAC region. CPU, memory, and pods look fine. Could you walk through your triage plan?
2. Your Kafka ingestion pipeline lags by 2 minutes during a traffic surge. Producers are fine, consumers are idle. What’s your debug path?
3. Sudden tail latency on Redis-based stream session store during a Champions League match, how do you find & fix the bottleneck?
4. HPA refuses to scale in a critical podset even though Prometheus shows CPU > 90%. Root cause & fix?
5. NAT gateway costs double in 24 hours during a live series; no infra changes were made. What could be silently causing it?
Round 3 – Leadership, Reliability Culture & Scaling Influence (30 mins)
1. How do you build a culture where latency SLOs are enforced like uptime SLAs in a streaming org?
2. You’re asked to ship multi-region failover for live events in 2 weeks with no DNS-based routing allowed. What’s your plan?
3. How would you simulate chaos in a streaming pipeline without risking real user impact?
4. How do you justify infra costs for pre-warmed scaling capacity to executives before a major sports event?
💡 TL;DR:
If you haven’t:
Designed K8s scaling for tens of millions of concurrent sessions
Debugged Kafka lag in real-time ingestion pipelines under pressure
Simulated multi-region failover during live sports events
Root-caused tail latency in caching layers mid-stream
…then a JioHotstar interview will show you exactly where you’re not ready.
But you can train for this chaos.
🚀 Next InfraThrone Elite Batch 1st June, 2026
We train you for chaos war room RCA drills, streaming-grade reliability, and Kubernetes scaling under real-world pressure.
🔗 Apply here → https://t.co/I8AK9EB0JT
#DevOps #SRE #PlatformEngineering #Kubernetes #StreamingScale #Observability #ChaosEngineering #InfraThrone #HotstarScale #RCADrills
Registrations open: Open Source Policy & Ecosystem Forum #OSPEForum 2026 (8 June, Brussels).
Invitation-only forum on digital sovereignty, cybersecurity, and open source collaboration.
Learn more and request an invitation: https://t.co/ILtHDcSRyz
#MCPDevSummit lands in Shanghai this Sept 6-7! 🇨🇳 The #CallForProposals & registration are now open. Submit a talk by May 29 & register by July 14 to save.
🎤 #CFP: https://t.co/gz26Wtzibp
🎟️: https://t.co/coEmJQpaIP
Ready to join the #Linux security community in Minneapolis? 🌲
From kernel hardening to eBPF and hardware security, now is the time to plan your two days of deep technical exchange. Join the experts at #LinuxSecuritySummit North America, May 21–22!
🎟️ Register by May 7 to save $100: https://t.co/IYt5e9l6vm
AI hype is everywhere, but real business value is found at #RHSummit.
Join us in Atlanta to move beyond the buzz with:
✅ Secure, open, and manageable enterprise AI
✅ A clear path for modern virtualization
✅ Scaling with mission-critical automation
Unlock what’s next for your tech stack: https://t.co/tn99qpzS5P.