Every few years, the tech world either rebrands an old term or tries to find a way to use old technology to create new advancements. This rabbit hole is easy to fall into with observability, yet it is distinct from some of its predecessors.
Site Reliability Engineering (SRE) and Operations teams responsible for operating virtual machines (VMs) are always looking for ways to provide a more reliable, more scalable environment for their development partners. Part of providing that stable experience is having telemetry data (metrics, logs and traces) from systems and applications so you can monitor and troubleshoot effectively. Many Google Cloud services, including Google Compute Engine, provide basic system metrics out of the box.
Anders Østhus is a DevOps Engineer on the Digital Tools team at Proactima AS, a consulting firm based in Norway that offers services and expertise in risk management, cybersecurity, healthcare, environmental solutions, and more. It can be difficult to orient yourself in the distributed tracing space, and getting all the parts of a tracing setup to play well with each other can be a bit tricky. But the benefits of tracing are undeniable.
Workflows are no stranger in the DevOps world. But where did this term come from, and what does it really mean? Perhaps it’s no surprise that workflows originated from the industrial revolution, which brought powerful machinery for mobilizing huge workforces unlike ever before. To maximize the potential of these new industrial tools, people had to first figure out the best way to use them to get work done as efficiently as possible.
GitHub is in the process of improving Git protocol security by removing insecure DSA keys and legacy ciphers, updating requirements on RSA keys, and adding more secure key signature algorithms ECDSA and ED25519. On January 11, GitHub ran a planned brownout event day to shake out affected clients. Our team at Puppet discovered that many users of Code Manager and r10k were affected by this change.
