Introduction You check the server. CPU’s fine. RAM has headroom. Disk isn’t even close to full. And yet the site is crawling. If that sounds familiar, the problem is very likely PHP-FPM. PHP-FPM sits between your web server and your application, running the PHP code that actually generates your pages. Most people never think about it until something’s wrong, because when it’s configured correctly, it’s invisible. When it’s not, response times climb even though every dashboard you check looks perfectly healthy. Short for PHP FastCGI Process Manager, it manages a pool of worker processes. Apache or Nginx passes requests to it, those workers execute the scripts, and the output goes back out to the visitor. Get the pool sized right …

In such situations, when applications running on Google Cloud Compute Engine (GCE) show poor performance, IT staff generally assume that there are problems with the processor units, or memory issues. At the same time, low storage system performance may be the culprit. Poor database queries, file retrieval delays, long backup processes, and high application downtime may all indicate storage problems. Understanding the working principle of disks on Google Cloud and where to look for performance quirks in the system will help to solve the problem faster. In this article, we will review the most frequent reasons for storage performance failures on Google Cloud Compute Engine, and provide for practical diagnostics. Why Disk Performance Matters The success of any workload is …

Kubernetes has become the best option for deploying and managing applications inside containers thanks to its flexibility, scalability, and automation features. Nevertheless, poor planning and management can result in expensive Kubernetes projects. Companies often find out that the excess of wasted resources, oversized applications, and inefficient cluster configurations lead to the surge in their monthly bills at Google Cloud. Fortunately, Google Kubernetes Engine (GKE) has many inbuilt tools that assist organizations in adjusting their infrastructure costs without affecting application performance. Understanding which parts of the infrastructure consume more resources helps businesses reduce their operating costs effectively.  This guide examines several methods of optimizing Kubernetes costs in Google Cloud and enhancing the performance of GKE clusters.  Why Kubernetes Costs Increase Kubernetes …

If you have ever launched a Google Cloud Virtual Machine (VM) only to discover that your startup script didn’t run as expected, you’re not alone. Startup scripts are incredibly useful for automating server configuration, installing software, and preparing instances for workloads. When startup scripts fail, they may leave your VM incomplete or unable to function properly.  Most startup script failures stem from a handful of common issues and can be resolved with a systematic troubleshooting approach. In this guide, we will walk through the most frequent causes of startup script failures in Google Cloud Platform (GCP) and show you how to diagnose and fix them without unnecessary frustration. Startup scripts are commands or scripts that execute automatically every time a …

Developers should avoid making too many database connections, create better SQL queries, use indexes when needed, and routinely check CPU, memory, and storage consumption in order to increase performance. Application performance may be impacted by cloud SQL performance problems. Incorrect indexing, limited storage, and slow queries that use a lot of connections and system resources could be the reason for the problems you are having with database performance. If your database workload increases, you may want to utilize more resources. If the database workload increases, it may be good to increase the resources.  Increasing the resources and optimizing the database query will help to reduce downtime. A more recent cloud-based database service called Cloud SQL was created to simplify and …

To check out what is going on with the Google Cloud Platform application when it is not working fine, we need to collect information from the Google Cloud Platform application, the system that supports it, and the network. This information helps us find out where things are slowing down or getting stuck. If we take an approach to looking at the Google Cloud Platform application, we can find the main problem with the Google Cloud Platform application pretty quickly. 1. Major points: Response Time Error Rate Usage of resources 2. To resolve the issue, we need to check the points. 1. CPU usage 2. Disk input/output 3. Network traffic. 4. Use of memory 3. Check cloud logging. 1. Requests are …

Common Reason, 1. Resource exhaustion (disk usage, memory, and CPU usage) 2. Firewall misconfiguration  3. IAM permission issue 4. VPC network and routing issues  5. DNS configuration issue 6. Load Balancer issue A. Resource exhaustion: I don’t have any live project created yet to give you, but I will provide some steps on how to check the issue.   How to replicate the issue  Please check: A. CPU utilization: If CPU consumption is more than 100%, we need to do the steps below. 1. Kindly increase the CPU allocation.   Kindly search Kubernetes Engine >> Workloads.    Select the deployment.     Please log in to the Action >> Edit YAML. In the code, we need to increase the CPU value as …

Cloud storage has become an essential component of modern IT environments, supporting everything from application data and backups to analytics and disaster recovery. While cloud storage offers flexibility and scalability, costs can quickly increase when data is stored in inappropriate storage classes. Understanding how different storage classes work can help organizations optimize spending without compromising accessibility or performance. This blog explains how to choose the right cloud storage class and reduce unnecessary storage expenses. Understanding Cloud Storage Classes Cloud providers offer multiple storage classes designed for different access patterns and retention requirements. Each class balances storage cost, retrieval cost, and availability differently. In general, frequently accessed data is stored in higher-performance classes that cost more per gigabyte, while infrequently accessed …

High CPU utilization is one of the most common performance challenges faced by organizations running workloads on Google Cloud Platform (GCP). While occasional CPU spikes are expected during peak activity, sustained high CPU usage can lead to slower application response times, service disruptions, and increased infrastructure costs.Diagnosing and resolving these issues effectively is crucial for maintaining a reliable and high-performing cloud environment.  Understanding High CPU Utilization CPU utilization represents the percentage of processing power being consumed by a virtual machine (VM) instance. In Google Compute Engine, consistently high CPU usage often indicates that the instance is struggling to keep up with workload demands. A brief spike during scheduled tasks, backups, or traffic bursts may not require intervention. However, when CPU …