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The latest News and Information on Service Reliability Engineering and related technologies.

last9

AWS Prometheus: Production Patterns That Help You Scale

Sep 19, 2025 By Anjali Udasi In Last9
You've got Prometheus running in one cluster — maybe a dev environment, a single EKS cluster, or a proof-of-concept setup. The configuration is straightforward: node_exporter on a few EC2 instances, some service discovery for pods, and a single Prometheus server scraping everything. Storage is local, retention is 15 days, and you can keep all the default recording rules without worrying about costs.
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last9

What is Asynchronous Job Monitoring?

Sep 17, 2025 By Anjali Udasi In Last9
Modern applications don’t process everything inside the request/response path. To keep APIs responsive, time-consuming work like image resizing, payment processing, or data syncs is moved into background queues. Workers then pick up these asynchronous jobs and run them outside the main thread. Asynchronous job monitoring is the practice of tracking these background tasks: Without this visibility, background workers become a blind spot.
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last9

Kubernetes Service Discovery Explained with Practical Examples

Sep 16, 2025 By Faiz Shaikh In Last9
In Kubernetes, applications are constantly changing — new pods start, old ones shut down, workloads shift across nodes. The challenge is making sure that different parts of your system, and even external clients, can still find each other when the actual locations keep moving. That’s what service discovery handles. It provides a stable way for applications to connect and communicate, no matter where they’re running or how often the underlying infrastructure changes.
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atatus

What is Database Monitoring? A Guide for Developers, DevOps, and SREs

Sep 15, 2025 By Pavithra Parthiban In Atatus
Databases handle critical operations for applications, from online banking to e-commerce and streaming services. Any slowdown or failure can directly affect application performance and user experience. Database monitoring tracks performance, detects issues, and helps prevent downtime. It also ensures efficient use of resources, maintains security, and supports compliance requirements.
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last9

Background Job Observability Beyond the Queue

Sep 15, 2025 By Anjali Udasi In Last9
Background jobs handle the critical work that happens outside the request path: processing payments, sending emails, generating reports, syncing data. They keep applications running smoothly, but the signals they produce look different from API endpoints. Most teams start with queue metrics—how many jobs are waiting and how quickly they complete. These metrics provide the foundation, but job health extends beyond throughput.
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last9

What is Service Catalog Observability and How Does It Work?

Sep 12, 2025 By Faiz Shaikh In Last9
A service catalog gives teams a shared view of their systems—what services exist, who owns them, how dependencies are structured, and the SLAs that guide expectations. It’s an important part of development infrastructure because it helps everyone speak the same language about services. Service catalog observability builds on that foundation.
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last9

APM for Kubernetes: Monitor Distributed Applications at Scale

Sep 10, 2025 By Anjali Udasi In Last9
When a payment service runs across 12 pods — each serving different customer segments — and an authentication layer spans three namespaces, performance issues can originate in both the application code and the orchestration layer. The challenge is linking request-level performance data with what’s happening inside the cluster: container CPU limits, pod scheduling decisions, and node-level events.
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The End of "Good Code"? AI, Throughput, and Reliability with CircleCI CTO Rob Zuber

Sep 10, 2025 By Rootly In Rootly
Is “good code” still the right measure of engineering success in an AI-driven world? In this episode of *Humans of Reliability*, Rob Zuber, CircleCI CTO, joins Sylvain to explore how coding assistants are reshaping developer workflows and changing what teams value. Rob shares what he’s seeing across CircleCI’s customer base: a clear boost in throughput, new bottlenecks shifting from code creation to code review, and the rise of “vibe coding,” where engineers trust AI-generated code they may not fully understand.
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mezmo

The Answer to SRE Agent Failures: Context Engineering

Sep 9, 2025 By Mezmo In Mezmo
AI agents for SREs were supposed to slash mean time to resolution and eliminate alert fatigue. Instead, most teams got expensive, unreliable tools that burn through tokens without delivering insights. But what if the problem isn't the AI models themselves? Recent benchmarking reveals the real bottleneck: context engineering. When we tested our context engineering approach against conventional methods, the results were dramatic: Scroll down for our benchmark results to see the full comparison.
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