Operations | Monitoring | ITSM | DevOps | Cloud

This is the second post in a four-part series on why Open Source Puppet users have made the decision to move to Puppet Enterprise. If you’re considering making this change, read on for pros and cons! As more and more businesses are moving from Open Source Puppet (OSP) to Puppet Enterprise (PE), they are experiencing multiple benefits. In this blog series, we’re exploring the biggest benefits we hear from customers about their experience moving from OSP to PE.

Every year, the Accelerate State of DevOps Report examines the capabilities and practices that drive software delivery, operational, and organizational performance. The 2021 report from the DevOps Research and Assessment (DORA) team at Google Cloud has now been published and provides highlights from seven years of research and data from more than 32,000 professionals worldwide. So what are those highlights? Where should IT teams be focusing their efforts on their journey to DevOps?

Specifically intended for small and medium-sized companies seeking an all-in-one intelligent ERP solution that is simple to use, adaptable, and implemented in the cloud or on-premise, Dynamics 365 Business Central is a powerful and flexible solution. Deploying Dynamics 365 Business Central bring a lot of advantages for businesses that are ready for embracing digital.

Few practices exemplify the impact of DevOps more than Infrastructure as Code (IaC). Anyone who remembers hearing “I don’t know why it’s not working; it worked on my machine …” can vouch for this! IaC provides a standard way to create declarative descriptions of infrastructure to represent desired environment states — essentially allowing teams to manage IT infrastructure using configuration files.

As software applications grow in scale and complexity, the surface areas for security vulnerabilities and exploits grow with it. Modern development practices include large amounts of code reuse. First, in the form of language-specific standard libraries such as the C++ STL, the Golang standard library, and Microsoft.NET. Second, in the form of open-source libraries found on places like Github. Much of this code is built using other libraries, introducing a web of dependencies into modern software.

Memory (or RAM, short for random-access memory) is a critical computing resource that stores temporary data on a system. Memory is a finite resource, and the amount of memory available determines the number and complexity of processes that can run on the system. Running out of RAM can cause significant problems such as system-wide lockups, terminated processes, and increased disk activity. Understanding how and when these issues can happen is vital to creating stable and resilient systems.

With companies expecting software products to handle constantly increasing volumes of requests and network bandwidth use, apps must be primed for scale. If you need resilient, resource-conserving systems with rapid delivery, it is time to design a distributed system. To successfully architect a heterogeneous, secure, fault-tolerant, and efficient distributed system, you need conscientiousness and some level of experience.