Operations | Monitoring | ITSM | DevOps | Cloud

Optimisez la gestion des accès au sein de votre organisation en simplifiant la complexité grâce à Azure Active Directory. Découvrez comment l‘intégration avec Hector peut renforcer la sécurité et l’efficacité pour atteindre vos objectifs commerciaux.

Microsoft Azure offers a cloud-based messaging service called Azure Service Bus. The goal is to streamline communication between disparate components or applications, regardless of whether they are distributed across multiple environments and locations or operating on the same Azure platform. With Azure Service Bus, you can develop distributed systems that are scalable, reliable, and decoupled.

With the rapid adoption of cloud, distributed systems and microservices are standard, resulting in increasingly complex environments. Once straightforward troubleshooting workflows have become chaotic, frustrating, and time-consuming. When something breaks, multiple teams are called to the table to prove they’re “not it”; each with their singular view of the problem.

As an AWS user, you know how important it is that your organization understands what you’re spending and why. AWS is a tremendously powerful resource, and when you have complete visibility into the cost efficiency of your AWS environment, you can use it to remove many of the scaling obstacles that companies faced in the past.

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.

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.