Operations | Monitoring | ITSM | DevOps | Cloud

Python introduced support for type hints in Python 3.5 via PEP 484, allowing tools like Mypy and Pyright to check your Python code for type conflicts before execution. This also helps tools that provide code auto-complete — like IDE, IPython, and Jupyter Notebooks — by providing a complete function signature, even for functions that are generated on import time like the Elasticsearch Python client.

7 Tips to Help Remote Workers Secure Their Home Wi-Fi Do you remember that old song called “Dem Bones” that goes: “ankle bone is connected to the shin bone, shin bone is connected to the knee bone, knee bone is connected to the thigh bone…” and so on?

The serverless technology feels as exciting and challenging as it was deploying our first app to the internet, seeing it come to life, work and also crash a lot. The latter happening more than we wanted at the begging, but later, when we managed to overcome that challenge, we felt like we could do anything. Depending on the interests, we could focus more on our code and leave that task of deploying, monitoring, and giving support for the apps to the DevOps guys.

IT Ops and DevOps people live by metrics – but not all metrics are the same. These days, setting and achieving meaningful service level indicators (SLIs), which translate to service level objectives (SLOs) is a desirable target for many IT pros. Meaningful SLOs have a tight connection with real-world user experiences, versus arbitrary metrics that may distract teams from the root cause of an issue.

When choosing between these two popular web API (application programming interface) formats it can be surprisingly difficult to know which one you should select for your infrastructure. Although both Rest (Representational State Transfer) and SOAP(Simple Object Access Protocol) share attributes in common with how they handle HTTP protocols, there are a number of key differences as discussed in this article.

San Jose, CA, December 2, 2020 – Virtana today announced the industry’s first unified platform for migrating, optimizing, and managing application workloads across public, private, hybrid, and multi-cloud environments. Using artificial intelligence for IT operations (AIOps) technologies, including machine learning and advanced data analytics, the cloud agnostic Virtana Platform solves the most difficult challenges facing enterprises as they seek to leverage public clouds.

Today Amazon announced Amazon EKS Distro, a distribution for Kubernetes based on and used by Amazon EKS. Amazon EKS Distro enables you to create secure and reliable Kubernetes clusters using the same versions of Kubernetes and its dependencies deployed by Amazon EKS. Each Amazon EKS Distro release follows the EKS process, verifying new Kubernetes versions for compatibility.

Henry Jennings is the Principal Engineer-Clients Services/Desktop at Sony Pictures Entertainment. An industry veteran, Henry has worked with IT teams for over two decades on improving their services support and building tangible metrics for business success. He was fundamental in his company’s shift to remote work in 2020 and has managed several large-scale IT projects across Sony.

Today, we’re excited to announce that EKS is available outside of AWS, on any Ubuntu system, with the EKS snap. This announcement builds on the existing collaboration between Amazon and Canonical to ensure the quality, security, and usability of Ubuntu-based EKS clusters on AWS. “Amazon EKS Distro (EKS-D) builds on our productive collaboration with Canonical around Ubuntu on AWS, and allows us to expand EKS beyond AWS cloud on any machine running Ubuntu.

Serverless architectures are all about offloading as much operational overhead to the cloud as possible. For the past six years, this primarily meant writing business logic as small pieces of code (< 250MB in size) that are zipped up and given to the cloud to run on demand. This simple model deceptively belies the true power of serverless applications. Because modern applications are often composed of a set of small microservices, each compute resource can itself be minimal in size.