The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
The Situation: some employees are reporting that Microsoft Teams is not working properly. You wonder, is there a Microsoft outage today? You jump onto Twitter to check the Microsoft 365 status account and see a trail of updates regarding a Microsoft outage – ugh there is a lengthy Twitter thread. You are in the midst of managing a Microsoft outage today.
Have you ever wished that software development could be faster and focused on quality? Then DevOps may be the answer for your organization. DevOps is a set of practices that combine software development and IT operations to facilitate collaboration between teams. The industry is constantly evolving, and new tools are being introduced daily. With so many options, it can take time to determine which ones are worth your time and money.
Kubernetes monitoring can be difficult and complex. In order to determine the health of your project at every level, from the application to the operating system to the infrastructure, you need to monitor metrics in all the different layers and components — services, containers, pods, deployments, nodes, and clusters.
Crosser is a Swedish company that builds a streaming analytics platform. The idea behind Crosser is to take the data from a connected, sensor-rich world and integrate it in real time to deliver faster insights and innovation. Primarily focused on the industrial IoT (IIoT) space, Crosser helps manufacturers gain insight into their machines and processes to drive improvements and to take advantage of newer trends and requirements that companies have for their data.
Observability data provides the insights engineers need to make sense of increasingly complex cloud environments so they can improve the health, performance, and user experience of their systems. These insights can quickly answer business-critical questions like, “what is causing this latency in my front end?” Or, “why is my checkout service returning errors?” Observability is about accessing the right information at the right time to quickly answer these kinds of questions.
The news have been full of coverage: ChatGPT (Generative Pre-trained Transformer), the prototype chatbot released by OpenAI in November 2022 seems to hail in a new era of information sourcing, schooling and learning, and interacting with a computer. The service sprinted to one million users in five days after the launch, with many more following until this date.
Observability has become a bit of a buzzword in the industry for the last few years. Exactly what "observability" means depends on who you ask, but most people would agree its about both: There's plenty of content out there telling you how to implement observability, or what good looks like. But what about bad observability? What are some anti-patterns to watch out for?
