Operations | Monitoring | ITSM | DevOps | Cloud

Picture this: you're knee-deep in resolving a P1/P0 incident, urgently seeking answers. What if you could tap into past incidents to get important incident insights and streamline your troubleshooting process? In this blog, we pitch into the practical aspects of leveraging Squadcast's Past Incidents feature to help you enhance your Incident Management process.

Cost optimization is critical to managing any cloud-based service, including Azure Cosmos DB. Azure Cosmos DB is a globally distributed, multi-model database service that allows you to scale your storage and throughput across regions. Although it offers a highly scalable and flexible platform for creating applications, Azure Cosmos DB cost optimization is important to ensure efficient resource utilization, avoid unforeseen expenses, and estimate costs more accurately.

Every day, organizations face external threats as a consequence of exposing their services over the internet. An estimated 2,200+ attacks occur in a 24-hour period—or one attack every 39 seconds. Add the fact that an average data breach (one of many potential consequences of poor security) costs companies $4.45 million, and the need for strong security is impossible to ignore. Web application and API security is key to protecting your infrastructure, data, and users.

Monitoring your instance of NGINX gives you insight into your webserver's requests and connections. These insights can help in identifying performance bottlenecks, optimizing configurations, and ensuring efficient load handling. Monitoring all layers of your technology infrastructure allows for the early detection of potential problems such as server overload, disk space shortages, or network issues.

Tech debt affects just about every software organization. For better or worse, speed is one of the core tenets of the software development industry – the rush to build more, add new features, and find solutions fast can drive short-term growth for small organizations and add value for large companies. But haste, as it usually does, makes waste: The mass of suboptimal code, redundant services, and bottlenecked processes that we call tech debt.