Use Case 01
Autonomous AI & Agent Fleets
Stop runaway token spend, infinite loops, and orphaned processes. Enforce strict 0 → 1 → 0 lifecycle invariants so runaway tools and hung subprocesses never poison host runners or drain corporate budgets.
Systems Resilience · Carrier-Grade SRE
Systems ResilienceYou Can Trust.For Any App. Any Agent. Any Scale.
When AI agents crash, web apps drop connections, or servers run out of memory, traditional APMs only notice after customers are impacted. We engineer software so it cannot fail silently. Combining carrier-grade Service Reliability Engineering with deep runtime controls, we guarantee every agent, socket, and subprocess cleanly starts, runs, and terminates (0 → 1 → 0) with zero leaks and uncompromising stability across Service → Network → Compute.
True SRE: Root-cause triage across the full stack — Service → Network → Compute
What kills trustFrozen browser tabs & hung agent loops
Diagnostic toolbeltWire-level Packet Capture & In-Kernel eBPF
How the fleet movesZero-Downtime Fleet & Cluster Migration
Ghost pane
- Symptom
- Desktop → Cloud dies. The APM is quiet. The user is not.
- On the wire
- Dropped WebSocket. Session state lies.
- What you get
- Path decode joined to the transaction — not a PCAP left on a laptop.
Core Methodology
How It Works: Three Steps to Uncompromising Stability
Resilience is never accidental. We protect modern software systems through a closed, three-step loop that catches regressions before merge, monitors the wire in real time, and isolates runtime failures before customers are impacted.
Step 01 · Pre-Deploy
Pre-Merge Resilience Gate: Prove Code Before It Merges
Automated chaos and behavioral invariant tests run on every pull request to verify production safety before merge. Our 9-Layer Verification Engine and 4-Round Quadriad subject code to deterministic invariant checks, PTY and socket leak detection, and negative chaos injection across four mandatory rounds (R1 Expected-Red → R2 Expected-Green → R3 0→1→0 zero-leak → R4 sabotage caught). A non-deterministic agent may select and start the battery. It may only summarize deterministic output.
Step 02 · Deep Telemetry
Wire-Forensics & In-Kernel Telemetry: Observe Ground Truth
In-kernel eBPF instrumentation and wire-level packet forensics that uncover leaks, hangs, and stalls invisible to standard APMs. We bypass deceptive user-space metrics to inspect ground truth. Using Wireshark, Kubeshark, Cilium, Hubble, and bpftrace, we decode protocol timings, socket lifecycles, and kernel allocations at sub-millisecond fidelity.
Step 03 · Autonomous Recovery
Deterministic Runtime Self-Healing: Guarantee Clean Recovery (0 → 1 → 0)
Proactive runtime supervisors that isolate wedged agent swarms, recycle dead sockets, and restore healthy state with zero data loss. When an agent enters an infinite loop or a cloud network route drops, our supervisors immediately contain the blast radius, enforce strict 0 → 1 → 0 process lifecycle guarantees so no orphaned subprocess or PTY lingers, and restore normal traffic flow without manual intervention.
Universal Resilience
Built for Any Use Case
From modern autonomous agent workflows to mission-critical infrastructure, Revive Labs delivers rock-solid stability across every layer of your architecture.
Use Case 02
High-Traffic SaaS & Web Apps
Stop frozen browser tabs, dropped WebSockets, and ghost panes. Maintain responsive client connections under rapid traffic spikes, with sub-15ms round-trip guarantees and seamless reconnection without dropped state.
Use Case 03
Microservices & Cloud APIs
Stop silent 504 timeouts and connection pool exhaustion. Isolate degraded upstream dependencies, eradicate socket leaks, and trace requests across service, network, and kernel boundaries before backpressure cascades.
Use Case 04
Mission-Critical Infrastructure
Carrier-grade 99.999% uptime rigor and audit compliance. Battle-tested across 25+ years of national telecommunications backbone operations, bringing deterministic reliability to distributed cloud and bare-metal environments.
Diagnose, then execute
Read the failure on the wire. Then execute zero-downtime platform migration.
Layer 3 wire forensics and True SRE isolate the exact failing layer across Service → Network → Compute. K3 / Kubernetes platform migration on demand executes seamless, zero-downtime platform migrations at fleet scale, driven by declarative application resource graphs (KRO RileyApplication CRD) as the definitive source of truth while Argo only syncs. The Fleet Operations Console orchestrates every migration: Universal Maintainer Runway ranks the fleet, separates Still broken regressions from fresh findings, tracks declarative graph coverage, and launches the Start workspace workflow that resolves defects cleanly in an auditable pull request. This interactive console demonstrates the workflow without mutating live infrastructure.
- Service
What the customer feels — the session, the API, the agent.
- Network
The path, the socket, the fabric.
- Compute
The host, the cgroup, the process tree.
- Then
Config, code, or architecture — and a prove-it retest.
Fleet Operations Console
K3 / Kubernetes platform migration on demand.
One pane for the fleet. What is still broken, what is merely open, what already lives as a Declarative Application Resource Graph (Platform Application CRD), and what is still a hand-written sync.
What matters now
Next on the runway
Diagnostic toolbelt
Packet Analysis: When APMs and Logs Disagree, the Wire Tells the Truth
When user-space APMs and application logs disagree, the wire is the only ground truth. Almost nobody still does packet analysis properly. We read the wire — full capture when the fabric, socket, or network path is the fault — and correlate it directly to application and compute evidence. Packet Analysis is an essential Layer 3 wire-forensic tool alongside eBPF, cgroups, and k6 chaos injection in our carrier-grade SRE toolbelt.
What we actually do
Full packet capture and decode with Wireshark and tcpdump; Kubeshark inside Kubernetes; eBPF — Cilium, Hubble, bpftrace, kprobes — on the kernel path.
Why it matters now
Agent stacks, Cloud MicroVMs, and ghost-pane cascades fail in ways metrics alone cannot explain. When APMs report healthy 200s during socket drops, the wire still tells the truth.
How it lands
The same True SRE ladder after the capture: Service → Network → Compute, then config · code · architecture — plus NetFlow / SNMP when flow and fabric fill the gap.
Capture planes
Wireshark · Kubeshark · eBPF on Kubernetes
Packet Analysis is an essential Layer 3 wire-forensic tool in our carrier-grade SRE diagnostic toolbelt alongside eBPF, cgroups, and k6 chaos injection. We pick the plane the failure lives on, then correlate it to logs, telemetry, and tracing.
Wireshark · tcpdump · PCAP
Protocol decode on the path that matters — optical taps, SPAN, host captures — when fabric, MTU, retransmits, or timing is the fault.
Kubeshark
HTTP, gRPC, and WebSocket inside the cluster. Prompt and tool RPC on the wire, without waiting on application instrumentation.
Cilium · Hubble
Identity-aware flows, socket state, and service-path proof on the Kubernetes stack. Not a sampled dashboard standing in for the packet.
bpftrace · BCC · kprobes
Custom kprobes and tracepoints, socket filters, and cgroup v2 watermarks when the leak only shows up in the kernel.
Supported Runtimes & Invariant Environments
Carrier-Grade Resilience for Every Layer of Your Stack
Our carrier-grade Service Reliability Engineering toolbelt, wire-forensics, and pre-merge invariant gates integrate directly across kernel, container, application, and distributed cloud environments.
In-Kernel & Syscall Plane
Linux Kernel
Deep in-kernel syscall observation, memory leak isolation, and strict cgroup v2 ceiling enforcement to ensure zero kernel regressions.
Verified Toolbelt & Invariants
eBPF, cgroup v2, socket filters, kprobes
Container & Network Fabric
Kubernetes
Identity-aware packet routing, live wire capture inside pods, and zero-downtime declarative migration with git-driven state reconciliation.
Verified Toolbelt & Invariants
Cilium, Hubble, Kubeshark, K3s, ArgoCD
Edge & Application Layer
Modern Web & Transport
Sub-15ms round-trip framing, non-blocking terminal multiplexing, and elimination of half-open socket leaks under concurrent load.
Verified Toolbelt & Invariants
Next.js, Node.js, WebSockets, gRPC, HTTP/2
Agentic Runtimes & Swarms
Python & Agent Runtimes
Deterministic 0 → 1 → 0 lifecycle guarantees preventing orphaned background tools, PTY descriptor leaks, and runaway token loops.
Verified Toolbelt & Invariants
LangChain, CrewAI, AutoGen, subprocess workers
Multi-Region Topology
Bare Metal & Cloud
Carrier-grade low-latency interconnects, physical host hardware diagnostics, and multi-cloud resilience across enterprise deployments.
Verified Toolbelt & Invariants
Calgary ↔ Montreal bare metal, AWS, GCP
How we engage
Executive-level. Integrated with your teams. Driven to resolution.
This is not a slide deck and not a ticket farm. Lesley Murfin works at the executive table — CEO, CTO, VP Eng, Head of SRE — while embedding with the engineers who own the blast radius. We start by understanding impact to the business, to your services, and to your customers.
01 · Impact first
Name the impact before the capture.
Business — revenue, burn, risk, diligence. Services — launcher, serve, Cloud, SLOs, MTTR. Customers — conversion, trust, ghost panes that abort the session.
02 · Executive altitude
Brief leadership in plain language.
Risk, blast radius, options, and the decision — the same command posture used on national major-incident bridges.
03 · Integrate with your teams
Sit with the people who own it.
Platform, SRE, network, and product. Share captures, dashboards, and CI gates. We amplify your people. We do not replace them with a black box.
04 · Drive to resolution
Stay through the retest.
Symptom → evidence → root cause → config, code, or architecture change → prove-it retest. No recommendations PDF and walk away. When the fault is the platform, the same path runs through the migration console.
Use cases · tied to pedigree
Where this work has already been done — at national scale.
Each engagement maps a buyer pain to work Lesley Murfin already commanded as National Packet Capture Lead and national incident commander across a tier-1 Canadian TELCO: voice core, mobility packet core, RAN, OSS/IP backbone, and tier-1 data centers — including wire-to-APM correlation on optical TAP fabrics. Employer brands are never named here.
01
Ghost panes · dropped WebSockets · MicroVM freezes
Core Symptom
Desktop → Cloud MicroVM conversion aborts mid-flight; APM dashboards report green HTTP 200 while users face dead tabs and abandoned onboarding sessions without filing tickets.
Business — Conversion aborts. They do not file a ticket. Services — Launcher, serve, and Cloud disagree about the session. Customers — A dead tab. They leave.
Wire Proof
Hardware TAP capture joined to eBPF socket tracing identified TCP half-open states (FIN_WAIT_2) and dropped WebSocket upgrade frames on the national edge fabric, separating path fault from application logic.
Resolution
Kernel TCP keepalive tuning, cgroup v2 session reaper boundaries, and automated Kubeshark packet verification to guarantee atomic handoffs and Expected-Green connection migration.
02
Retry storms · 429 cascades · signaling congestion
Core Symptom
Autonomous agent swarms amplify degraded model endpoints into self-inflicted cascade outages, burning token budgets and wedging critical customer transactions indefinitely.
Business — Token burn and an outage the fleet caused itself. Services — The endpoint and every client retrying it. Customers — Work that never completes.
Wire Proof
Layer 3 packet decode and eBPF socket analysis isolated exponential retry bursts mirroring multi-province core signaling storms (SS7/Diameter congestion and BGP flapping) under peak subscriber load.
Resolution
Enforced adaptive traffic shedding, backpressure rate dampening, and Cilium / Hubble network policies in the Pre-Merge Resilience Gate, proving deterministic recovery under strict regulatory MTTR.
03
Regional path loss · provider failover
Core Symptom
Upstream cloud region connectivity drops; distributed agents wedge on half-open sockets instead of re-homing cleanly, stalling multi-region customer workflows.
Business — A region outage that does not fail clean. Services — Sockets that never re-home. Customers — Sessions stuck, not rerouted.
Wire Proof
Packet Analysis (Wireshark) and socket telemetry revealed TCP retransmission timeouts (RTO) exceeding failover windows across the optical transit path, freezing sessions before DNS failover could engage.
Resolution
Re-engineered transport failover using bare-metal edge routing (Calgary ↔ Montreal), fast socket aborts (TCP_USER_TIMEOUT), and automated synthetic path probes to achieve sub-second re-homing.
04
Host death · leaked PTYs · zombie trees
Core Symptom
Autonomous agent runtime density collapses as hung subprocesses and leaked pseudoterminals (PTYs) exhaust file descriptors, crashing hosts and stranding workspaces.
Business — Packing density without a return to zero. Services — Distributed agent runtimes, PTYs, and the subprocess tree. Customers — The workspace dies with the host.
Wire Proof
In-kernel eBPF kprobes and cgroup v2 hierarchy auditing exposed unparented process trees surviving SIGTERM and holding PTY file handles open after container exit.
Resolution
Engineered a closed-loop reaper in the Behavioral Invariant Engine enforcing a 0 → 1 → 0 process lifecycle guarantee, verifying zero-leak host drainage before accepting new workloads.
05
Zero-defect VIP / regulated cutovers
Core Symptom
Critical sovereign migrations and high-profile launches risk executive crisis and regulatory breach if cutovers encounter hidden packet drops or intermittent routing blackholes.
Business — A cutover that cannot be mostly works. Services — Path assurance through the change window. Customers — Sessions that have to stay up.
Wire Proof
Continuous optical hardware taps and full packet capture (PCAP) forensic inspection uncovered MTU mismatch fragmentation and silent asymmetric route drops during live change windows.
Resolution
Enforced carrier-grade change management: pre-validated change manifests, live spectrum and TAP verification, and 'By Design' Expected-Red → Green gates guaranteeing zero dropped sessions.
06
Kubernetes agent / API traffic blindness
Core Symptom
Prompt and tool RPCs fail inside Kubernetes clusters; metrics dashboards report zero errors because standard user-space APMs never saw the conversation on the wire.
Business — An outage the dashboard did not show. Services — Prompt and tool RPC inside the cluster. Customers — A conversation that never registered.
Wire Proof
Kernel-level Kubeshark and Cilium / Hubble eBPF captures isolated silent east-west container drops, CNI conntrack table exhaustion, and SYN timeouts between worker pods on the edge fabric.
Resolution
Replaced blind metric aggregators with continuous eBPF L7 flow inspection and bpftrace kernel probes, routing packet-level telemetry to the root-cause engine for immediate fault isolation.
07
Autonomous agent platform resilience & audit
Core Symptom
Series A–C agent platforms face technical diligence failure, runaway compute costs, and cluster degradation due to non-deterministic swarm lifecycles and dangling sockets.
Business — Diligence, runaway token spend, and cluster degradation. Services — By-Design Platform Resilience, subprocess lifecycle, sockets, and CI. Customers — Agents that leak instead of finish.
Wire Proof
Automated load testing with Layer 3 packet forensics and cgroup v2 accounting captured memory drift, dangling socket handles, and non-deterministic process lifecycles under concurrent swarm traffic.
Resolution
Applied carrier-grade Service Reliability Engineering rigor with the 4-Round Quadriad framework, proving 0 → 1 → 0 return-to-zero lifecycle invariants across CI/CD and production runtimes.
08
Enterprise / telco assurance gap
Core Symptom
Multi-million-dollar packet capture estates sit underutilized during high-severity incidents because internal teams lack the wire-level forensics expertise to interpret deep protocol traces.
Business — A capture estate with no one left to read it. Services — Tier-3 RCA driven to closure with leadership. Customers — AI traffic landing on the core.
Wire Proof
Decoded complex multi-protocol pcap captures across IP/MPLS, 5G/EPC, and container ingress overlays, pinpointing exact TCP window exhaustion and microburst buffer drops that baffled APM teams.
Resolution
Instituted the True SRE ladder (Service → Network → Compute), wire-to-APM correlation runbooks, and train-the-trainer operational playbooks to drive Tier-3 RCA to permanent closure with leadership.
09
High-velocity PR swarm · PTY leaks · maintainer cognitive fatigue
Core Symptom
Autonomous agent PR swarms overwhelm repo maintainers while leaking PTYs and background subprocesses into staging environments, destabilizing test clusters and delaying releases.
Business — Maintainer bandwidth bottleneck and unstable staging clusters. Services — PR evaluation pipeline, merge gates, and agent runtime isolation. Customers — Broken releases and delayed platform iteration.
Wire Proof
Pre-merge socket auditing and eBPF process lineage tracing detected leaked background goroutines, orphaned PTY descriptors, and phantom network listeners introduced by unvetted PR commits.
Resolution
Deployed the Universal Maintainer Runway with the JEV (Judge · Evaluate · Verify) pipeline, enforcing automated 4-tier PR grouping, PTY leak detection merge gates, and objective code standard scoring.
Interactive Failure Mode Matrix
Self-Diagnosis: Select Your Production Symptom
Active Diagnosis
Runaway Agent Loop & Token Burn
True SRE Diagnostic Layer: Compute (0 → 1 → 0 Process Lifecycle)
Diagnostic Toolbelt
cgroup v2 & eBPF kprobes (bpftrace)
Precision wire-level decodes and in-kernel kprobes trace the failure at sub-millisecond fidelity directly where it occurs.
What Traditional APM Misses
The Wire & Kernel Blindspot
Traditional APMs only chart LLM token costs after the bill spikes. They cannot trace unhandled SIGCHLD drops, orphaned PTY descriptors, or loop recursion depths within agent worker threads in real time.
Deterministic Resolution Path
Carrier-Grade Remediation
Enforce strict 0 → 1 → 0 process lifecycle guarantees with deterministic cgroup v2 CPU/memory limits, supervisor timeouts, and in-kernel reaper daemons.
Active production incident or critical architecture review?Engage our 48-Hour Diagnostic Audit for definitive wire-level root cause triage.
What we deliver
Peer offerings. Proof you can point at.
- By-Design Platform Resilience & Carrier-Grade SRELead offering
- Autonomous AI Systems Assurance, 0 → 1 → 0 process lifecycle guarantees, and zero-defect agent swarms. Carrier-grade reliability engineered directly into the agentic runtime.
- Universal Maintainer Runway (JEV PR Evaluator)Maintainer Cockpit
- Automated code standard scoring for CTOs and engineering leadership, Judge · Evaluate · Verify pipeline, PTY leak detection before merge, and 4-tier PR grouping.
- Packet AnalysisWire-forensic diagnostic
- Essential Layer 3 wire-forensic tool alongside eBPF, cgroups, and k6 chaos injection. Wireshark, Kubeshark, and eBPF on the Kubernetes stack — Cilium, Hubble, bpftrace, BCC, kprobes — backed by 25+ years of national TELCO packet forensics.
- K3 platform migrationShipped console
- Fleet Operations Console orders the fleet. Declarative Application Resource Graph (KRO RileyApplication CRD) is the source of truth, Argo only syncs, the runway ranks the work, and Start workspace turns a finding into a change that stops at a pull request.
- Full analysis surfaceEvidence
- Packet analysis, NetFlow, SNMP, logs, telemetry, alarms, eBPF, Kubernetes signals, and tracing — the evidence the failure actually needs.
- True SREService Reliability Engineering
- Service → Network → Compute as one system, then configuration, in-depth code review, or architecture. Not three disconnected tickets.
- 'By Design' + Pre-Merge Resilience GateProve it before merge
- Governance for AI and applications, matched with a 9-Layer Verification Engine and a 4-Round Quadriad. The agent may start the battery. It may only summarize the result.
- Complex Architectural DesignNetworks · data centers · cloud · apps
- Design that keeps launcher, serve, transport, and MicroVM compute coherent under density.
- Remote monitoringProactive telemetry
- Probes, log intelligence, and health surfaces customized to the application — including the health and reaper path. Not a generic dashboard dump.
- Performance and benchmarkingThe loop
- Measure → diagnose (Service → Network → Compute) → change → re-measure. Proved on bare metal between Calgary and Montreal, then the same loop on any cloud or enterprise network.
Agentic Development Workflows
Workflow automation is integrated into agentic AI. Tasks execute from a defined path — intent → design → build → verify → pull request — not a one-off prompt. That spine sets up the performance loop.
- Intent
- Design
- Build
- Verify, including 'By Design' gates
- Pull request
Where the loop is allowed to run
Bare metal, Docker, Kubernetes, and virtualization / Cloud MicroVMs. Geography starts on bare metal between Calgary and Montreal, then the same loop to any cloud or enterprise network.
Sellable proof, not a price list: 'By Design' specification and the 9-layer engine · remote monitoring · sandboxed verification.
Executive FAQ · Technical Clarity
Frequently Asked Questions
Direct technical answers for engineering leaders on architecture, data custody, and how we engage across critical systems.
Traditional APMs inspect HTTP logs and high-level service metrics after failure occurs. Revive Labs operates deeper: we inspect wire packets, kernel sockets, and OS process lifecycle in real time using Wireshark, Kubeshark, and eBPF. When complex microservices hang, drop frames, or leak connections under load, APMs only show that a timeout occurred; our probes isolate the exact TCP retransmit, half-open socket wedge, blocked epoll thread, or zombie process causing the failure.