Author: Sam Suthar
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Application Monitoring Best Practices: 15 Lessons From Real On-Call Incidents
If you’ve been on call long enough, you’ve lived this exact moment: checkout’s p99 jumps, nothing else looks wrong, and you’re staring at three separate tools trying to figure out which one is lying to you. Years of on-call rotations across enough companies teach the same application monitoring best practices, usually the hard way, usually…
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Trace Explorer Gets a Smarter Way to Investigate Distributed Traces
When a request fails, it rarely fails in one place. It moves through multiple layers: network, application code, and database, with each layer adding its own step to the journey. When something breaks, the hard part is finding exactly which layer, which step, and which downstream call actually caused it, not just that the request…
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Why Observability Migrations Fail (and What Developers Can Do About It)
Observability migrations rarely fail because the new platform is worse. They fail in the gap between the pitch deck and week three, when a missing label breaks a 2 AM alert and nobody can say whether it’s the platform or the data. This guide breaks down the five patterns that quietly sink migrations, and what…
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7 Reasons DIY AI Agents Fail at Production Root Cause Analysis
Pointing a frontier model at your logs makes a great Friday demo. Running it against a real Sev1 at 3 am is a different problem entirely. There are broadly seven gaps that emerge when engineering teams build their own AI SRE agent: fragmented telemetry, Kubernetes opacity, shallow reasoning without an evidence chain, missing tribal knowledge,…
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Run Production Ahead of the Alert: How an AI SRE Agent Works From Inside Your Observability Platform
Your on-call engineer spends nearly 60% of their week hunting root causes that already happened, while the failed deploy that started it all never triggered a single alert. OpsAI is Middleware’s AI SRE agent: it watches your Kubernetes, APM, RUM, and log telemetry continuously, catches the failures that don’t page anyone, and turns the cause into…
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OpenTracing vs. OpenTelemetry: Key Differences and Migration Guide
If you searched for opentracing vs opentelemetry because your instrumentation still imports an OpenTracing library, you are looking at a dependency that CNCF archived years ago. This guide lays out what actually changed between the two projects, why the switch matters for your traces today, and a concrete path to move your services onto OpenTelemetry…
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Sentry Pricing 2026: Full Cost Breakdown by Plan & Team Size
Sentry bills differently than most observability platforms: instead of metering data volume, it meters events, errors, spans, replays, logs, and attachments each with its own quota and its own overage rate. Overages on the Team plan run from $0.0003625 per error in the 50k–100k tier down to $0.0001500 per error at 20M+ events, while Business…
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AWS Fargate vs. Lambda: 6 Differences and How to Choose
Choosing between AWS Fargate and AWS Lambda usually comes down to one question: do you need to run a container, or just a function? Fargate runs your existing container images without you touching an EC2 instance. Lambda runs short bursts of code with no container involved at all. Match the compute to the workload and…
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Top 10 Dynatrace Alternatives In 2026
Dynatrace is a dominant observability platform, but growing teams are finding it increasingly difficult to justify its complexity, opaque DDU-based pricing, and steep learning curve. Whether you are scaling a cloud-native startup, modernizing a mid-size SaaS product, or a large enterprise rethinking vendor lock-in, there is a wide field of capable Dynatrace alternatives that offer…
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10 Best Coralogix Alternatives in 2026: Features, Pricing & OTel Support Compared
Looking for the best Coralogix alternatives? Coralogix is a powerful observability platform, but its proprietary DataPrime query language, cloud egress costs, and learning curve lead many teams to explore other options. In this guide, we compare the best Coralogix alternatives based on OpenTelemetry support, pricing, deployment models, and key features to help you choose the…
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Podman vs Docker: Which Container Runtime Wins in 2026?
Summary: Podman and Docker both run OCI-compliant containers, but they solve the problem in fundamentally different ways: Docker centralizes everything through a root-privileged daemon, while Podman runs each container as a daemonless, rootless user process. That architectural split drives nearly every other difference in this comparison, from security posture to startup speed to Kubernetes alignment.…
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AWS ECS vs EKS: What’s the Difference and Which Should You Choose?
Summary: Use AWS ECS if your team wants AWS-native simplicity, lower operational overhead, and no per-cluster fee. Use AWS EKS if you need Kubernetes portability, the CNCF tooling ecosystem (Helm, Argo CD, Istio), or fine-grained autoscaling like KEDA and Karpenter. Both run on EC2 or Fargate, both are production-proven at massive scale, and neither is objectively…
