Operations | Monitoring | ITSM | DevOps | Cloud

Today, automation has shifted from being a luxury to an absolute necessity, especially within the realm of networks. This shift is driven by the rapid evolution of network technologies, compliance standards, and evolving business needs, placing an increasingly daunting burden on network administrators to manage these tasks manually.

When it comes to creating automated process workflows, there is no shortage of tools on the market. StartingPoint is a great example of a workflow automation platform that makes it easy for even the most non-technical users to create automated process workflows in just a few simple clicks. ‍ The real magic happens when you define a sequence of tasks for the tool to follow, achieving a specific goal with machine-like efficiency and precision. ‍ ‍

In today’s digital age, adopting public cloud platforms like Amazon Web Services (AWS) security means reinforcing them. AWS is a complex and versatile platform. When problems or security incidents arise, it's important to have a systematic approach to investigation and analysis or it can quickly become noisy with lots of false positives. This is where the Adversarial Tactics, Techniques, and Common Knowledge (MITRE ATT&CK) framework can help.

The tech landscape is a whirlwind of continuous evolution, making the role of a DevOps engineer more crucial than ever. A "pragmatic" DevOps engineer stands out as a beacon of efficiency and practicality in this dynamic environment.

Synthetic monitoring in Cloud Monitoring tests the availability, consistency, and performance of a web application from a real user’s perspective.

As a developer, when I first stepped into the wonderful world Kubernetes, I was amazed at the endless configuration possibilities it offered for containerized apps. It felt like I was handed the most multifaceted tool for all my deployment needs.

In the last decade-plus, the cloud has undergone a torrid evolution. Born in 2006, the cloud didn’t face the same speed limits on evolution that we mortals do. Within years, the cloud had gone from competitive edge to competitive necessity; within a decade, specialized services like Kubernetes, Snowflake, and Datadog had emerged to help us use it more, more flexibly, and with a more data-driven strategy. As the cloud evolved at an exponential rate, so did the costs associated with using it.

Kentik Kube provides network insight into Kubernetes workloads, revealing K8s traffic routes through an organization’s data centers, clouds, and the internet.