In preparation for the upcoming Developer Observability Masterclass we’re hosting at Lightrun with Thoughtworks and RedMonk, I sat down for a brief interview with Tom Granot – the Director of Developer Relations at Lightrun. Tom will MC the event as he did for the Developer Productivity Masterclass we ran back in December.

We’re well into 2022, and it’s full steam ahead addressing challenges and moving IT and SRE projects to completion. Are you ready for the challenges ahead of you? Do you feel prepared to handle the work you know about…and the work that’s sure to come your way? Are you ready for the end-of-the-year budget planning process that will be here before you know it? To help, I’d like to share my learnings from 20+ years in IT.

Previously announced as a community-led project, the Terraform provider for Honeycomb is now officially maintained by Honeycomb in partnership with Hashicorp. We recognize how valuable supporting configuration as code is for our customers, and this change in ownership affirms our commitment to ensuring your ability to quickly make the most of Honeycomb’s Management API.

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.

Customers expect seamless digital experiences. But growing complexity and lack of unified full-stack observability create challenges for the whole organization.

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).

Supply chain management is a complex dance impacted by forces beyond your control. Full-stack observability can help make the process a lot less stressful.