Keeping Kubernetes Data Safe, Sound and Actionable
As cloud-native development grows in popularity, organizations are on the hunt for tools to not only protect their containerized applications but to manage them, as well. They’ll be busy. IDC is projecting ...
Cloud-Native Apps Driving Major IT Data Crisis
A global survey of 1,303 CIOs and senior IT practitioners finds 71% of respondents believe the explosion of data produced by cloud-native technology stacks is beyond humans’ ability to manage. Conducted by ...
ScyllaDB Adds Kubernetes Operator to NoSQL Database
ScyllaDB, a provider of an open source database based on a columnar architecture, has made available in beta an Operator to makes it easier to deploy the NoSQL platform on a Kubernetes ...
Maintaining Data Consistency Across Microservices
When microservice applications are built as a set of modular components, they are easier to understand, simpler to test and effortless to maintain over the life of the application. They enable organizations ...
Red Hat Extends OpenShift Operator to Integration Platform
Red Hat has now made it possible to install, upgrade and manage Red Hat Integration components using an operator it developed for the Red Hat OpenShift platform in addition to an existing ...
Kubernetes Phishing: Preventing Social Engineering in Your K8s Environment
As Kubernetes becomes a mainstream platform for operating mission-critical applications, it is increasingly targeted by cybercriminals ...
SIEM for Containerized Environments
SIEM can help address some of the key security challenges of Docker, Kubernetes and related technologies ...
OpenTelemetry for Containerized Environments
By providing a unified approach to telemetry data capture, OpenTelemetry aims to make observability more accessible to all developers ...
Best of 2023: Top 9 Microservices Design Patterns
There are several microservices design patterns, each with its unique characteristics and use cases. Here are nine to consider ...
Best of 2023: Using Airflow to Run Spark on Kubernetes
Here's how to set up a Spark application on Kubernetes using the Airflow scheduler for data-intensive workloads ...