Operations | Monitoring | ITSM | DevOps | Cloud

Today’s world runs on data. We are constantly improving our solutions thanks to the plethora of data available to us in the public domain. Our society has seen a behavioral change when it comes to formulating remedies. We are increasingly adopting data-driven decisions, and rightly so. Now, talking about this whole data logic, where do you think this enormous amount of data gets stored? Well, the answer is a database!

In today’s digital landscape, the aviation industry faces increasingly sophisticated cyber threats that can compromise the safety and security of critical systems. To combat these challenges, the Transportation Security Administration (TSA) has implemented new cybersecurity requirements. In this blog post, we’ll explore how Teneo, in collaboration with Akamai Guardicore, can help aviation organizations meet these requirements and strengthen their cybersecurity defenses.

A containerized approach to software deployment means you can deploy at scale without having to worry about the configuration of each unit. In Kubernetes, clusters do the heavy lifting for you—they’re the pooled resources that run the pods that hold your individual containers. You can divide each cluster by namespace, which allows you to assign nodes (ie the machine resources in a cluster) to different roles or different teams. Resource quotas limit what each namespace can use.

Monitoring is all about data. When you implement a monitoring tool, you have to make sure that the monitoring software can handle data. Today, data flows at high speeds and in large volumes. Data also comes in diverse forms, which increases the complexity of data ingestion. Because of this, monitoring solution providers promote, among others, their data processing capacities. If a monitoring platform can handle large and diverse data that comes in at a high velocity, it becomes a big advantage.

In an ideal world CI pipelines would never fail and deployments would be easy to navigate. The reality is that the journey from commit to production can fail in subtle ways that can be hard to understand. And this problem is multiplied by the number of pipelines in your system.

Azure is Microsoft’s flagship cloud computing service, providing a host of capabilities and features to enable businesses to operate and thrive in the digital age. One of these offerings, Azure Data Lake, stands as a pivotal resource for organizations that process massive volumes of data. But what exactly is Azure Data Lake?

Building your own PaaS (Platform as a Service) can revolutionize the way you deploy and manage applications. One of the key advantages of a custom PaaS solution is its ability to streamline the complete application life cycle. With a well-designed PaaS environment, developers can easily package their applications, define dependencies, and deploy them seamlessly across various cloud environments. This simplifies the deployment process, reduces time-to-market, and ensures consistent application delivery.

June 27, 2023 We were excited to learn last week that GigaOm named Densify as both a Leader and an “Outperformer” in its new report “Radar for Cloud Resource Optimization”. This was particularly meaningful to us for a few reasons.