Sejal Pandey

Service mesh observability guide: the metrics Istio, Linkerd and Envoy proxies emit, what ambient mode changes, and why tracing still needs app changes.

CI/CD observability guide: the OpenTelemetry CI/CD conventions, tracing GitHub Actions and Jenkins runs, queue time, failure vs error, and deploy markers.

MCP server monitoring guide: spans, metrics and logs to record for tool calls, why failed tools look healthy, and how to trace requests from client to server.

Set up the Prometheus Blackbox Exporter: install it, write HTTP, TCP, DNS and ICMP modules, relabel scrape targets, and alert on probe_success and SSL expiry.

RAG pipeline observability guide: the spans, attributes and metrics to record for embedding, retrieval, reranking and generation, plus evals for bad answers.

Azure Functions monitoring guide: platform metrics by hosting plan, why executions go missing in Application Insights, OpenTelemetry setup and alerts.

Compare 7 Amazon CloudWatch alternatives: why custom metrics and logs get expensive, what changed in 2026, and how to move without losing AWS metrics.

Compare 7 Sumo Logic alternatives for logs and observability: how each one bills for logs, where it fits, and how to migrate off Sumo Logic safely.

AWS EKS monitoring guide: free control plane metrics, control plane logs, node health, VPC CNI IP exhaustion, and which alerts to set first.

HAProxy monitoring guide: the stats page and socket, the built-in Prometheus exporter, the metrics that matter, why queue time averages mislead, and alerts.

Honeycomb pricing explained: Free, Pro and Enterprise limits, the 2026 Pro rate per million events, how spans count, throttling, and a worked bill.

Snowflake monitoring guide: ACCOUNT_USAGE views and their delay, the query and warehouse metrics that matter, idle credits, resource monitors and alerts.

ClickHouse monitoring guide: the Prometheus endpoint, the system tables that explain slow queries, the Too many parts limits, replication lag and alerts.

GKE monitoring guide: what Google Kubernetes Engine collects by default, which metric packages to turn on, Autopilot limits, and the alerts to set.

Apache Spark monitoring guide: what the Spark UI shows, how to keep it after a job ends, finding skew and spill, Prometheus metrics, and alerts.

Multi-cloud monitoring guide: why the same metric differs across AWS, Azure and GCP, and how to normalize it with OpenTelemetry into one view.

Set up the NVIDIA DCGM Exporter with Docker or Helm, pick the right DCGM metrics, enable profiling counters, map GPUs to Kubernetes pods, and add alerts.

Dynatrace pricing explained: DPS annual commits, the hourly rate card for hosts, pods, logs and RUM, why memory drives Full-Stack cost, and a worked bill.

An error budget is the unreliability an SLO allows. Learn to calculate it, track burn rate, set multiwindow alerts in PromQL and write an error budget policy.

A practical comparison of the best observability tools in 2026: Last9, Datadog, Grafana Cloud, New Relic, Dynatrace, Honeycomb, Coralogix and SigNoz.

Grafana Cloud pricing broken down: free tier limits, Pro rates for metrics, logs and traces, how active series and DPM are billed, and worked cost examples.

AI agent observability means tracing tool calls, reasoning steps, and handoffs, not just tokens and latency. Here's what to instrument and why.

How to monitor a Rails application in production: reading Puma's stats endpoint, spotting GC pressure, and finding the query that's actually slow.

SRE automation covers four different jobs: runbook automation, self-healing infrastructure, drift detection, and resilience testing.

How to monitor a PHP application in production: reading the PHP-FPM status page, checking OPcache health, and finding the request that is actually slow.

AIOps explained in plain terms: what it means, how it differs from AI-SRE and MLOps, how it detects problems, and whether a small team needs it.

Eight LLM and AI agent observability platforms compared: what each tracks, pricing and free tiers, self-hosting options, and who each is built for.

Observability spend is outgrowing infrastructure budgets. What drives the cost up, how pricing models work, and a practical framework to manage it.

Cribl's credit pricing and setup complexity send teams looking elsewhere. Compare 6 real Cribl competitors and alternatives, for observability and SecOps.

A stage-by-stage playbook for automating incident response: what to automate at detection, triage, and remediation, what to deliberately leave manual, and a checklist to run against your current setup.

A quick-reference guide to reading Nginx, Apache, and Linux syslog error lines: what each field means, with real annotated examples.

An SLO is the internal reliability target your team sets. An SLA is the contractual promise you make to a customer. Here's how they differ, with real examples.