DevOps Tech

In today’s digitally connected world, offering reliable and uninterrupted service is important. The fact is that the strongest systems may encounter errors, indicating that they’re not immune to errors like displaying HTTP status codes like 504 (Gateway Timeout) or 502 (Bad Gateway). These mistakes may also create problems for end users, hurt reputation and ruin the business performance indicators. The other means that can be adopted to ensure that these errors are minimized is by developing efficient OS signals. This blog provides an in-depth look into operating system signals and how they can be implemented to minimize 504/502 errors in business infrastructure. So, let’s begin! Understanding 504/502 Errors Before diving into solutions, let’s understand the nature of 504 and 502 errors: 502 Bad Gateway This error occurs, in case, some server on the internet gets an incorrect response from another server. It states that a server acting as a gateway or the server being the proxy, mistak

  As a new member of the team, I was tasked for establishing site-to-site VPN connectivity using a third-party tool. After exploring numerous blogs in search of the perfect solution, I stumbled upon StrongSwan. Excited to put it to the test, I followed the provided guides carefully. However, upon implementation, I encountered a frustrating roadblock: while the tunnel was successfully created, communication between the virtual networks remained elusive. This blog aims to tackle that very challenge head-on. I’ll be sharing a comprehensive, step-by-step guide to achieve seamless site-to-site VPN connectivity between two cloud environments. Guess, what’s the best part? The same principles can be effortlessly applied to on-premise infrastructure setups as well. But, what if your cloud provider doesn’t offer managed services for site-to-site VPN connectivity? Or if the process for establishing site-to-site VPN connectivity using managed services requires different configurations and setup st

The MongoDB operator is a custom CRD-based operator inside Kubernetes to create, manage, and auto-heal MongoDB setup. It helps in providing different types of MongoDB setup on Kubernetes like-  standalone, replicated, and sharded.  There are quite amazing features we have introduced inside the operator and some are in-pipeline on which deployment is going on. Some of the MongoDB operator features are:- Standalone and replicated cluster setup Failover and recovery of MongoDB nodes Inbuilt monitoring support for Prometheus using MongoDB Exporter. Different Kubernetes-related best practices like:- Affinity, Pod Disruption Budget, Resource management, etc, are also part of it. Insightful and detailed monitoring dashboards for Grafana. Custom MongoDB configuration support. [Good Read:  Migration Of MS SQL From Azure VM To Amazon RDS  ] Other than this, there are a lot of features are in the backlog on which active development is happening. For example:- Backup and Restore support TLS encryp