grafana
At 18:07 on a Tuesday, a payment service started timing out in Johannesburg. The first alert blamed CPU. The second blamed Redis. Neither was useful: the real problem was elevated latency on the route to an upstream service…
grafana
At 02:17, a payment API in Johannesburg began returning intermittent 504s. The application looked healthy in AWS, the Kubernetes dashboard in Azure showed no obvious failures, and the on-premise firewall reported normal traffic. The useful clue was not…
grafana
At 18:07, the payment API was “healthy”: CPU was below 40%, pod counts were normal, and the primary dashboard showed no red panels. Customers in Johannesburg still received intermittent timeouts. The useful clue was buried elsewhere: latency from…
unified
At 02:17, a payment API started timing out for customers in Gauteng. The application dashboard showed healthy pods in AWS Cape Town. The database dashboard showed normal CPU. The incident channel blamed the carrier, then the DNS provider,…
cloud
The alert fired at 18:23, ten minutes before Stage 4 load shedding in Johannesburg: “User checkout latency p95 > 3s in eu-west-1”. The odd part wasn’t the latency; everyone expects a spike when half the mobile network goes…
unified
When one cluster is in Cape Town, another sits in AWS eu-west-1, and a batch job fails only when the Eskom schedule and a WAN flap line up, the dashboard problem stops being cosmetic. Unified Monitoring for Multi-Cloud…
cloud
The incident review started with a painful line in the post-mortem doc: “We had all the data, but no one saw the pattern.” A payment gateway spanning Johannesburg, Cape Town, Lagos and eu-west-1 had been flapping for 47…
unified
As a South African SRE working with teams spread across Johannesburg, Cape Town, and a couple of data centres in Europe, I’ve seen first-hand how fast organisations in our region are adopting multi-cloud. AWS for core services, Azure…
cloud
As a South African SRE working across Johannesburg and Cape Town regions, I’ve learned that traditional monitoring is no longer enough for complex Kubernetes and microservice environments. Cloud-Native Observability Intelligence Platforms combine unified telemetry (metrics, logs, traces, profiles)…
unified
As a South African SRE working with teams spread across Johannesburg, Cape Town, and remote sites, Unified Monitoring for Multi-Cloud Ecosystems is no longer a “nice to have” — it’s a survival requirement. Our platforms run across AWS…
cloud
As a South African SRE working with distributed systems across Johannesburg, Cape Town, and cloud regions in Europe, Cloud-Native Observability Intelligence Platforms have become central to how I keep services reliable and cost-efficient. In practice, that means combining…
unified
As a South African SRE working with teams spread across Johannesburg, Cape Town, and a couple of European regions, I’ve seen first-hand how quickly complexity explodes when you adopt a multi-cloud strategy. Unified Monitoring for Multi-Cloud Ecosystems is…