Data is never just data. There are structured and unstructured data, qualitative and quantitative data. Among these varied types, continuous data stands out as a key player, especially in the quantitative realm. Continuous data, with its infinite possibilities and precision, captures the fluidity of the real world — from the microseconds of a website’s load time to the fluctuating bandwidth usage on a network.

Densify has just been recognized by GigaOm as a Leader and “Fast Mover” in the market for Kubernetes Resource Management. This is the second year in a row that Densify has gained this distinction and comes in addition to also being named a leader and outperformer in GigaOm’s report on Cloud Resource Optimization in June of last year.

When people bemoan the complexity of interconnected IT environments, they usually mean that an organization has a lot of applications that all share data with each other. As your organization adds more applications, you need to make sure that they securely share data with each other. In short, security and development teams find themselves working to deploy and protect the Application Programming Interfaces (APIs) that enable applications to talk to each other.

Software development is a sophisticated process that comes with complexity built in. Enter DevOps (many years ago, of course) to foster an environment where developers can build complex applications while minimizing backend overhead, ensuring that processes are replicable and software design is standardized. One of the first examples of DevOps in action was the surge in popularity for service-oriented architecture.

The FinOps Foundation sets out six FinOps principles cloud-based companies should follow to achieve and maintain optimal control over their cloud spending and cost efficiency. On the surface, they seem straightforward enough. The first principle, for example, is that teams should always collaborate in real-time to “continuously improve for efficiency and innovation” when it comes to staying on top of software development cloud costs.

Carmakers are facing numerous challenges on the path towards software-defined vehicles (SDVs), such as legacy vendor dependence, which is leading to a lack of scalability, and high maintenance costs. Adopting a software-centric approach should reduce complexity and costs, accelerate time to market, improve product quality, increase flexibility, and provide more robust cybersecurity.

Create microservices with gRPC with Spring, and leverage Managed Service for Prometheus and Grafana for monitoring and observability.