Runbooks Are Dead; Make Operations Executable
Static runbooks break under pressure. Operational knowledge should live in executable tools instead of documents nobody can follow at 3 AM.
Archive for the category:
LLMs Have a New Limit – It Costs More to Think Longer
NVIDIA’s Igor Dmochowski explained that LLMs are no longer limited just by model size or benchmark scores; the cost of longer reasoning means runtime, context length, memory use, and throughput matter just as much.
Only 7% of Organizations Using Kubernetes for AI Do So Daily
Two-thirds of organizations run AI workloads on Kubernetes, but only 7% do it daily. Katie Gamanji says the ecosystem still needs better operational maturity and standards.
AI speeds up prototyping, but teams still need to distinguish decisions from assumptions
Figma’s Designer Advocate argued that AI can make prototypes look finished too early, which can hide dangerous assumptions.
Google DeepMind: AI’s Next Step Is Learning From Its Own Experience
We’re waiting for the next big AI leap - systems learning from their own experience rather than just human data - and at Infobip Shift, Google DeepMind’s Benoit Schillings said that’s exactly where the field is headed.
OpenAI Says the Real Work in AI Coding Is Building the System Around It
Infobip Shift 2026 is officially open, and OpenAI’s Luis Velasco said the real work now is bringing together the data, process, and systems agents need to do the job well and keep improving.
AI agents need their own identity and least-privilege access
As infrastructure gets more complex, "inside the network" is no longer enough. Users, devices, and AI agents need their own identity and only the access they need.
You Should Bring Your Ops to Slack
We're burning thousands of dollars on AI conversations that should've been a single slash command.
How AI Helped Me Survive the Shift from Backend and DB Architecture to Native iOS
After five years in a codebase I knew by heart, I suddenly found myself back at square one in customer-facing native iOS development, and AI became my lifeline.
The phrase that ruins every eCommerce project: “Just connect it to our ERP.”
What sounds like a small API task is usually a full integration problem: sequencing, sync vs async, edge cases, and an old system nobody fully trusts.
VP of Research, Google DeepMind: “The mundane work of writing code is going away.”
I first met Benoit Schillings, VP of Research at Google DeepMind, in San Francisco to talk about what engineers do when AI writes more of the code. His answer: make sense of the massive systems we inherit. Now, he’s bringing that perspective to Zadar for Infobip Shift 2026.
How to Survive Database Failover – Debezium and PostgreSQL in Production
Getting Debezium to stream the first PostgreSQL change into Kafka is straightforward; keeping it correct through failover is the interesting part.
AI agents aren’t safe from prompt injection, and spreadsheets prove it
I set out to see how easily an AI agent could be manipulated by harmless-looking spreadsheets, so I kept escalating the prompt injection until it either caught on or took the bait.
