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.
Windows applications constitute a large portion of the services and applications that run in many organizations. When moving to a Kubernetes-based architecture, there is a need to support these as well. Up until April 2020, the lack of container support within the Windows operating system left Linux container images as the only viable option for Kubernetes container deployment.
Nowadays mobiles are an important part of the business. But a few years back the mobile was considered just a tool used for communication but as technology evolved the mobile also evolved and new features are installed and now the mobile is an essential part of the business. If a business is not equipped with a mobile, then business suffers. That is why organizations ensure that their application and website are mobile-friendly.
Now more than ever, it's crucial for MSP owners to be mindful of burnout and to help their teams address it proactively. While it’s been a recognized term among mental health professionals and those in high-stress industries for years, “burnout” has taken on new prominence and meaning during the pandemic. Case in point, searches for "how to leave IT for goat farming" have skyrocketed the past two years.
If you develop software for an embedded system, you need some kind of system feedback. Debuggers are awesome tools, but when it comes to analyzing dynamic behavior in the field, they cannot be used. For remote debugging, many engineers turn to printf, which can usually be quickly put in place after having a putchar() implemented. This turns out to be an expensive way, in terms of processor clocks and required FLASH memory for the strings.
End user experience monitoring is a mindset and a philosophy. It’s the acknowledgement that IT is not the outcome, but rather a means to an end. Think of it this way: IT is here to support business operations. It does so by delivering technology to the tech-dependent workforce so employees can do their jobs seamlessly. Therefore, the most important thing to monitor in the IT ecosystem has shifted. It’s not the network, the device, or the cloud – these are only delivery mechanisms.
