Posts
Opsgenie retirement: what happens on April 5, 2027, and how to move
Atlassian ends Opsgenie support on April 5, 2027, and deletes the data you did not migrate. The dates, what to move, a migration checklist and what to look for in a replacement.
Why AI Incident Response Should Start at L1, Not L3
From a real-time Production Graph to autonomous Level 1 support, and why NOFire AI cuts Level 1 scope by up to 60% without the hallucination risk.
Welcoming Alex Touloupis
Alex Touloupis joins NOFire AI to lead the Orchestration & Context team, owning how an agent gets the information it needs and how its actions get sequenced. He arrives after two decades that ran from telco integration at Ericsson through the Orchestration & Action product line at Celonis to Lead Technical Designer at Cegeka.
Welcoming Sergios Aftsidis
Sergios Aftsidis joins NOFire AI as a Founding Member of Technical Staff on the Core Infrastructure team, owning the foundations from high-level architecture through to production readiness. He comes from Hotjar, where he was a Staff Software Engineer, after eleven years that included two spent running an engineering team and then deciding to go back to building.
AI SRE Benchmark: observe-only diagnosis on SREGym
On SREGym-lite, with no kubectl during diagnosis, NOFire diagnosed 17 of 20 faults. Fifteen of those wins came from the production map or a recorded change. Three misses map to a known boundary.
Welcoming Stelios Charmpalis
Stelios Charmpalis joins NOFire AI as a Founding Member of Technical Staff on the Orchestration & Context team, owning the product surface and the harder problem behind it: what it feels like to hand real authority to a system that acts on its own. He comes from Hotjar, after seventeen years spent almost entirely on how software feels to use.
Welcoming Maria Rafaela Gkeka
Maria Rafaela Gkeka joins NOFire AI as a Member of Technical Staff on the Runtime & Controls team, working on the Profiler: deriving the policy that governs an agent from what the agent actually did, rather than from a rulebook maintained by hand. She is a systems researcher finishing a PhD at the University of Thessaly, and joins from Nubificus.
Welcoming Maria Gkoutha
Maria Gkoutha joins NOFire AI as a Member of Technical Staff on the Runtime & Controls team, working on the layer that checks every agent action at runtime and blocks anything that would breach a guardrail. She joins from Nubificus, where she spent nearly four years on runtime performance and hardware acceleration.
Welcoming Anastasia Mallikopoulou
Anastasia Mallikopoulou joins NOFire AI as a Member of Technical Staff on the Orchestration & Context team, working on how production knowledge is retrieved, represented, and served to agents. She joins from Nubificus, where her centre of gravity moved from building machine learning models to building the systems that have to run them.
Following a Kafka Stall Across a Hop
The outcome that matters with Kafka isn't access to the topic. It's visibility end to end: from the application, through the topic, to every application depending on it. Here's what that looks like in practice, following a stall past a healthy consumer into a downstream service that touches no Kafka at all.
Welcoming Panagiotis Mavrikos
Panagiotis Mavrikos joins NOFire AI as a Member of Technical Staff on the Core Infrastructure team, building the isolated, reproducible, and observable environments that let agents run safely in production.
Introducing Kafka: Naming Poison Pills and Silent Lag
Kafka clusters, brokers, and topics join NOFire's production map as first-class entities, and every consumer group resolves to the service that actually runs it. A broken message or a stalled consumer now gets the same evidence-backed root cause as a service incident, tied to the team and change behind it.
Welcoming Alexandros Sapranidis
Alexandros Sapranidis joins NOFire AI as Engineering Lead, owning engineering execution and helping turn the Context and Control Model into shipped, production-grade software.
Your service catalog is already wrong
Every service catalog is declared by hand and drifts from reality within weeks. That was a productivity tax when humans read it. Now that agents act on it, a stale catalog is a production risk. The fix is to stop declaring the catalog and start observing it.
Welcoming George Skoumas
George Skoumas joins NOFire AI as Founding Member of Technical Staff, AI/ML. He builds deterministic context selection systems and has benchmarked results showing that at 50-60% token budget, structured context selection matches or exceeds full-document reasoning on QA tasks.
Welcoming Artemis Leonardou
Artemis Leonardou joins NOFire AI in Software Engineering on the Orchestration and Context team and Developer Relations, building the orchestration layer the Context and Control Model runs on and making that work legible to the engineers who depend on it.
Why AI SRE Tools Are Getting It Wrong: A Mental Model for Production Reliability
AI SRE tools compete on signal quality. Better dashboards, smarter alerts, richer metrics. But the reconstruction of meaning from those signals still happens manually, every time, by the engineer who was on call last time. That is the wrong problem to optimize.
Welcoming Konstantinos Papazafeiropoulos
Konstantinos Papazafeiropoulos is joining NOFire AI as Member of Technical Staff, Systems. He leads the vAccel framework for hardware acceleration inside microVM and unikernel environments, strengthening the execution layer the Context and Control Model depends on.
Welcoming Charalampos Mainas
Charalampos Mainas is joining NOFire AI as Member of Technical Staff, Systems. He is one of the creators of urunc, a CNCF sandbox project for fast and lightweight sandboxing, which will be the execution environment that makes truly bounded autonomous action possible.
Introducing Workflows: Always-On Agents for Production Reliability
NOFire Workflows are always-on agents that run proactive health checks, generate post-mortems, validate deployments, and respond to production events automatically, with full access to your production map.
Your AI Coding Agent Doesn't Know What Will Break in Production
AI coding agents write code and open PRs, but they have no visibility into your production system. The NOFire MCP server closes that gap.
Introducing NOFire CLI: From Investigation to Action, in Your Terminal
NOFire CLI brings production context to your terminal. Investigate, understand, and act without leaving your shell.
NOFire recognised in the Gartner Market Guide for AI SRE Tooling, 2026
Gartner published its first Market Guide for AI Site Reliability Engineering Tooling in January 2026. NOFire is recognised as a Representative Vendor. Here is what the guide says, what it gets right about the problem, and why we think the next five years look nothing like the last five.
The Search for Prevention: Why Modern Systems Need a New Reliability Model
As systems grow more complex, incidents are increasingly caused by change and hidden dependencies.
The Failing Tools - Why Observability, AIOps & Monitoring Hit A Wall
Why more dashboards, alerts, and AI still fail to explain system behavior or prevent modern incidents.
The hero's burden. Why reliability has become impossible
Why Reliability Is Breaking: Engineering Leaders Can't Keep Up With How Fast Production Changes
The World Before - Rising Complexity and Breaking Promises
Modern systems have outpaced our ability to understand them. Traditional tools show data but not meaning. This is the challenge engineering leaders face today.
Extending Our AWS Integration
Full-Context Embedded SRE, Now With Deeper AWS Awareness
From DevOps, To AIOps, To Full-Context Embedded SRE
The Reliability Category the Industry Has Been Missing
Shift Reliability Left: Turning Operational Knowledge into a Superpower
Shift reliability left with operational knowledge and causal AI to prevent incidents before they ship.
Why 95% of enterprise AI fails
Why 95% of Enterprise AI fails and what we learned building production-ready AI for engineering teams
How we built a production-ready GraphRAG for RCA using AWS RDS
Production-grade root cause analysis and change management intelligence with an AWS-native graph engine
Why OnCall teams Needs Causal AI
Why OnCall teams need Causal AI: Move beyond correlation to true root cause analysis for faster incident resolution
What AI Adoption Really Means for Reliability Engineering
How AI adoption reshapes reliability engineering through causal reasoning, agentic workflows, and context.
What Observability Data Tells Us in 2025
Teams average 7.4 observability tools, 39% cite complexity as the top obstacle, and 79% are adopting OpenTelemetry. Analysis of the 2025 Grafana survey data and what it means for teams trying to connect changes to production impact.
Why Observability Needs Causality
Make observability smarter and resolve incidents faster with Causal AI, Agentic AI, and reduce MTTR.
Incident Response vs. Incident Prevention
Incident response is critical, but true reliability starts by proactively understanding the underlying causes of incidents.
NOFire AI + Grafana IRM for faster Incident Resolution
Resolve Incidents Faster with NOFire AI + Grafana IRM. From Alerts to Action in minutes
Why GenAI Alone Won’t Fix Incident Response
GenAI explains what happened, Causal AI finds why. NOFire AI combines both for accurate incident resolution.
CrashLoopBackOff: More Than Just a Bad Deployment
Uncovering the real root cause is hard. Agentic AI incident response team resolves incidents faster.
How AI redefines the SRE hats
Discover the evolving SRE archetypes, from infrastructure to AI-driven reliability, and how to align them with your team's needs.
How our Agentic AI incident response team works
Knowledge Graph, the heart of incident investigation with an Agentic AI incident response team
How OpenTelemetry, Kubernetes, SLOs and AI are redefining Incident Resolution
Resolve incidents faster with Kubernetes-native observability, OpenTelemetry insights, and AI-driven root cause analysis.
Are You Really In Control? The Incident Management Challenge for SaaS
Are traditional tools slowing you down? See how AI-powered solutions like causal AI and GenAI can transform incident response.
5 Reasons Root Cause Analysis Takes So Long
Discover the top 5 reasons Root Cause Analysis takes too long and how AI-powered tools can transform RCA, cutting downtime and boosting reliability
How SREs can reduce noise and stay at peace
Battling alert fatigue with actionable strategies for SREs. Learn to refine alerts, automate responses, and prioritize well-being for resilient systems.