Operations | Monitoring | ITSM | DevOps | Cloud

Fintech companies operate in a complex technological and regulatory environment. They rely heavily on cloud-native technologies and microservices architectures to handle financial transactions and data, often at a massive scale. To maximize application reliability, fintech companies need full visibility into their software systems and applications. An agile monitoring solution like observability is crucial to improving performance and user experience.

Cribl has a unique position right in the middle of the observability market, giving us a distinct view of all things security, APM, and log analysis. Observability as a concept has exploded into specialized areas over the past two years, and making sense of the players and market forces, particularly in a difficult macro environment, can be tricky. Let’s break it down.

What separates successful IT teams from unsuccessful ones is the quality of their documentation. Without proper documentation, your technicians are likely to spend too much time searching for the information they need to perform tasks and resolve issues. They may make errors or respond to issues belatedly, which could impact service levels. Successful organizations ensure their documentation is always well structured, organized, accurate and up to date.

In today’s digital landscape, automation plays a crucial role in streamlining operations and improving efficiency within IT. One popular automation solution is Azure Automation, offered by Microsoft’s Azure cloud platform. But how much does Azure Automation cost? Is an Azure Automation Account free? In this blog post, we will delve into the cost structure of Azure Automation, explore where the costs lie and put the costs of Azure Automation into context.

Code instrumentation is an essential practice in modern software development. Not only does it aid in debugging, it ultimately impacts the MTTR (Mean Time to Resolve) for software running in production. With changing software architectures and deployment patterns over the years, approaches to code instrumentation have also undergone a significant shift.