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last9

How sum_over_time Works in Prometheus

Jul 25, 2025 By Faiz Shaikh In Last9
The sum_over_time() function in Prometheus gives you a way to aggregate counter resets, gauge fluctuations, and histogram samples across specific time windows. Instead of seeing point-in-time values, you get the cumulative total of all data points within your chosen range—useful for calculating totals from rate data, tracking accumulated errors, or understanding resource consumption patterns over custom intervals.
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last9

Use Telegraf Without the Prometheus Complexity

Jul 24, 2025 By Anjali Udasi In Last9
Every system needs observability. You need to know what your CPU, memory, disk, and network are doing, and maybe keep an eye on database query latency or Redis connection counts. But setting that up isn’t always simple. You start with a couple of shell scripts. Then come exporters. Then Prometheus. Before long, you’re managing scrape configs, tuning retention, and watching dashboards fail under load after two days of data.
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Introducing Bits AI SRE, your AI on-call teammate

Jul 23, 2025 By Datadog In Datadog
Bits AI SRE is your AI on-call teammate, built to autonomously investigate alerts and coordinate incident response. Integrated with Datadog, Slack, GitHub, Confluence, and more, Bits analyzes telemetry, reads documentation, and reviews recent deployments to determine the root cause of alerts—often before you’ve even opened your laptop. In fact, if you're using Datadog On-Call, you can view Bits’s findings right from your phone—so you’re always one step ahead, no matter where you are.
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last9

Ship Confluent Cloud Observability in Minutes

Jul 22, 2025 By Anjali Udasi In Last9
You're running Kafka on Confluent Cloud. You care about lag, throughput, retries, and replication. But where do you see those metrics? Confluent gives you metrics, sure, but not all in one place. Some live behind a metrics API, others behind Connect clusters or Schema Registries. You either wire them manually or give up. What if you could stream those metrics to a platform built for high-frequency, high-cardinality time series, and do it in minutes?
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last9

Monitor Nginx with OpenTelemetry Tracing

Jul 21, 2025 By Prathamesh Sonpatki In Last9
At 3:47 AM, your NGINX logs show a 500 error. Around the same time, your APM flags a spike in API latency. But what's the root cause, and why is it so hard to correlate logs, traces, and metrics? When API response times cross 3 seconds, identifying whether the slowdown is at the NGINX layer, the application, or the database shouldn't require guesswork. That's where OpenTelemetry instrumentation for NGINX becomes essential.
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last9

How to Set Up Real User Monitoring

Jul 21, 2025 By Anjali Udasi In Last9
Synthetic monitoring provides consistent, repeatable results, 2.1s load times, passing Lighthouse scores, and minimal variability. But those numbers reflect lab conditions. On slower networks, like 3G in Southeast Asia, real users may see much higher load times, 5.8s or more. This isn’t a fault of the tools. It’s a difference in testing context. Synthetic tests run on fast machines, stable connections, and clean environments.
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isdown

Risk Register for SREs: A Practical Guide to Proactive Incident Prevention

Jul 18, 2025 By Nuno Tomas In isDown
A risk register is one of the most powerful tools in an SRE's arsenal for maintaining system reliability. By systematically documenting potential threats to your infrastructure and services, you can shift from reactive firefighting to proactive risk management.
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last9

Set Up ClickHouse with Docker Compose

Jul 18, 2025 By Preeti Dewani In Last9
ClickHouse is built for high-performance OLAP workloads, capable of scanning billions of rows in seconds. If your analytical queries are bottlenecked on PostgreSQL or MySQL, or you're burning too much on Elasticsearch infrastructure, ClickHouse offers a faster and more cost-efficient alternative. This blog walks through setting up ClickHouse locally with Docker Compose and scaling toward a production-grade cluster with monitoring in place.
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last9

Stream AWS Metrics to Grafana with Last9 in 10 minutes

Jul 18, 2025 By Faiz Shaikh In Last9
It’s 2:47 AM and your Lambda functions are timing out. API response times are spiking. You’re flipping between the CloudWatch console, your APM tool, and your logs, trying to figure out what’s going wrong. CloudWatch has the metrics you need: CPU usage, memory pressure, and request rates — but connecting that data to what your app is doing takes time. The delay in stitching it all together slows down your incident response.
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