The latest News and Information on DevOps, CI/CD, Automation and related technologies.
We’ve long believed that incidents (and technical team cultures) improve when more people are empowered to declare, follow, and contribute to their resolution. But not everyone in an organization needs to be able to manage the processes, rules, and settings a company enforces for their incident programs.
Data center planning can be a chore. It's often a manual and time-consuming process that involves gathering data that may or may not be accurate from multiple tools. Plus, modern data center environments are increasingly complex and distributed which adds to the challenge.
Expenditure on cloud computing services reached a mammoth 225 billion dollars in 2022. Companies start their cloud-native journeys with the best intentions and consume the many benefits including: But current cloud expenditure growth levels are unsustainable for many organizations and with 82% of organizations investing in FinOps staff it shows that cloud expenditure is top of mind in the c-suite.
Amid an AI boom and developing research, machine learning (ML) models such as OpenAI’s ChatGPT and Midjourney’s generative text-to-image model have radically shifted the natural language processing (NLP) and image processing landscape. Due to this new and powerful technology, developing and deploying ML models has quickly become the new frontier for software development.
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.
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.
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.
