Operations | Monitoring | ITSM | DevOps | Cloud

This guide will help you understand Azure Storage costs – including tips and best practices to optimize your storage pricing. If you have trouble understanding Microsoft Azure Storage costs, you’re not alone. Azure Storage options can feel like a multi-layered maze of storage account types, tiers, pricing pages, specs — and then some. Yet, understanding your cloud cost drivers begins with looking at where your money goes. Only then can you tell if you are getting value for your money.

The new Query Plan Compare feature in Redgate Monitor helps PostgreSQL DBAs see when the optimizer switches plans for the same query, and understand why, so they can diagnose sudden performance changes faster.

As far back as 2020, Barclays found that 43% of enterprise CIOs were already planning to bring workloads back from the public cloud to on-premises or private cloud infrastructure1. Since then, IDC, Gartner and a host of vendor surveys have tracked an increase in this intention.

Argo Rollouts exposes Prometheus metrics on port 8090 — but the docs lie about which labels exist. Here's how to scrape them into Last9, build a canary dashboard, and use Last9 as an automated AnalysisTemplate gate, including the auth and base64 gotchas. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

Kubernetes is an open-source container orchestration engine that is used to automate containerized application deployment, scaling, and administration. It is an open-source management platform that can be used to manage containerized workloads and services, as well as declarative configuration and automation. Kubernetes is a framework for running distributed systems in a resilient manner. It handles scaling and failover for your application and provides deployment patterns and other features.

Application security testing tools promise coverage and accuracy, but teams often struggle just to get started. One of the biggest friction points in dynamic application security testing is configuring authentication correctly so a scanner can even access a target application, let alone API endpoints that power the functionality. Whether it’s API keys, bearer tokens, or custom auth flows, setting up authentication for scans frequently requires trial-and-error and engineering support.

It's 2:47 AM. PagerDuty fires. You open a Slack alert and see: p99 latency spike on checkout-service. You SSH into the host, check dashboards in four tabs, grep logs for the last 20 minutes, and eventually find a slow query introduced in a deploy six hours ago. It took 34 minutes. You resolved it, w Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

So far in this deployment series, you’ve: At this point, you can deploy your app. The question is: do you really want to keep doing it manually? Welcome to CI/CD — where deployments stop being an event and start becoming a system.

> Standard OTel.NET instrumentation captures headers, status codes, and timing — not request or response bodies. Here's how to add body capture to your traces while keeping PHI out of your observability backend. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

Now comes the part that makes your application…online or real. Step 3 is where your application gets a proper home address, becomes accessible to users, and stops living as a collection of IP addresses and ports that only you and your team understand. Welcome to DNS, domains, and yep, go live.