Operations | Monitoring | ITSM | DevOps | Cloud

Race conditions can occur when a multithreaded application accesses a shared resource using over one thread. Unless we have guards in place, the result might depend on which thread “got there first”. This is especially problematic when the state is changed externally. A race can cause more than just incorrect behavior. It can enable a security vulnerability when the resource in question can be corrupted in the right way. A good example of race condition vulnerabilities is mangling memory.

Companies depend on observability insights to provide reliable online services to their customers. To support their efforts, StackState is proud to announce a new version of our unique topology-powered observability software, StackState v4.6, available now. This new version brings powerful new capabilities to DevOps and SRE teams who need to maintain a deep understanding of how their stack is behaving to meet their SLOs.

Today, cloud native technologies empower a number of organizations to build and run scalable applications in public, private and hybrid cloud environments. Developer and operation teams can build and deploy applications, APIs and microservices architectures with the speed and immutability of containers. Gartner predicts that by 2024, more than 75% of large enterprises in mature economies will be using containers in production.

There are different positions on whether observability and monitoring are two sides of the same coin. We will analyze and explain what the observability of a system is, what it has to do with monitoring and why it is important to understand the differences between the two.

SaaS (software as a service) is the common model for many businesses today. Even longstanding behemoths such as Cisco and Microsoft have been strategically shifting their software products to SaaS and recurring revenue models (just think Office365 shift from licensed Office). These SaaS businesses need agility to move fast and remain competitive. This means agility in the IT stack, but also agility in the business models to support bottom-up GTM and product-led growth (PLG).