Edge, Cloud, Hybrid, Virtual, Bare‑metal, or Multi-cloud? Deciding On Your Perfect Kubernetes Architecture
From cloud to edge: making your choices Working at Spectro Cloud has taught me that most K8s adopters don’t live in a single infrastructure environment anymore. (And our research in the annual State of Production Kubernetes study absolutely proves the point). Of course, your choice of which…
Top 5 features to look for in a cloud detection and response solution
Modern enterprise environments come in a variety of flavors across public and private cloud and on-premises infrastructure. Attackers are keen to find any weaknesses in this distributed and complex attack plane. Immature cloud offerings or traditional security tools such as EDR only protect part of…
Practical AI security in multi-cloud environments
As artificial intelligence solutions become ubiquitous, AI security is a key consideration for organizations that want to leverage AI as a competitive advantage. Security teams face considerable obstacles as AI proliferates through various implementation models: externally managed AI platforms (AWS…
IBM and SAP introduce RISE on Power Virtual Server for easier cloud migrations
IBM and SAP have launched RISE with SAP on IBM Power Virtual Server, a next-gen cloud solution to simplify SAP S/4HANA workload migration. This will help companies move from legacy on-premises systems to modern cloud infrastructure in months. RISE with SAP on IBM Power Virtual Server aims to be the…
9 Ways to Handle Secrets Management for Multi-Cloud Setups: Rotation, Auditing, and Access Control
In its recent CIO report , Gartner suggests that new security threats are among the biggest pain points for CIOs across businesses. With global cybercrime now costing more than USD 6 trillion a year, all emerging technology adoptions find themselves with a target at their backs. Therefore,…
How Chaos Genius’ Data FinOps solution optimizes for cost and performance
Data operations are imperative for any modern organization. Businesses generate vast amounts of data, which requires efficient storage, processing, and analysis. The rise of platforms like Snowflake and Databricks has changed how companies handle data but has also brought new challenges. These…
