Systems | Development | Analytics | API | Testing

Best 3 AWS Data Migration Service (DMS) Alternatives

AWS Database Migration Service is often the first tool teams consider when they need to move data between systems with minimal disruption. That makes sense. It is familiar, closely tied to the AWS ecosystem, and built to support both migration and ongoing replication. But once data movement becomes a permanent part of the stack, the evaluation usually changes.

The Future of Hybrid Cloud Consumption is Flexible

Across all industries in the market, enterprises face rising pressure to modernize quickly, reduce risk, and enable data‑driven innovation — all while optimizing cost and simplifying increasingly complex hybrid environments. Hybrid cloud has become the operating model for this shift, yet organizations still struggle with fragmented tools and unpredictable expenses.

Why Choose OAuth for API Security: A Complete Azure AD Integration Guide for DreamFactory

In an era where API breaches make headlines weekly, choosing the right authentication mechanism isn't just a technical decision—it's a business-critical one. OAuth 2.0 has emerged as the industry standard for securing API access, and when combined with Azure Active Directory and DreamFactory, it creates a robust, enterprise-ready security architecture that protects your data while streamlining user access.

5 Best Platforms for Managing Cloud Costs Through Architecture Design

Cloud cost control often starts too late. By the time a team reviews a monthly bill, the decisions shaping that bill are usually already locked in. Workloads have been placed. Redundancy has been designed in. Regions have been chosen. Services have been duplicated. Data transfer paths have been created. What looks like a finance problem later is often an architecture problem much earlier.

Data Silos Could Be Your Biggest Cloud Liability

In an always-on industrial economy, fragmented data is a liability. Your analytics reports may look flawless, but if they’re built on data silos scattered across edge, core, and cloud, they’re built on a fault line. Data silos drive-up costs, distort the critical decisions meant to drive competition, and prevent organizations from reaching a state of data singularity — where data becomes unified, portable, and continuously usable for AI.

Application Migration Simplified: How to Optimize Data for the Cloud

Organizations over the years have seen the writing on the wall: The future is cloud. Now, these companies and their DevOps teams areevolving, innovating, and pursuing new technologies, to gain a competitive edge and create new efficiencies. One of the ways they’re doing this is through application migration to cloud. In this blog, I’ll detail the nuances of application migration and how to best manage data during it, including various challenges and their solutions.

Kong Simplifies Multicloud Cloud Gateways with Managed Redis Cache

As enterprises race to deploy multicloud architectures and Agentic AI, they face a common bottleneck: "state." To govern AI token usage, manage agent-to-agent communication, or optimize performance via caching, API and AI gateways require a persistence layer to synchronize data. We’re excited to share the GA of Managed Redis cache for Kong Dedicated Cloud Gateways (DCGW).

Configuring Kong Dedicated Cloud Gateways with Managed Redis in a Multi-Cloud Environment

A persistent challenge arises as businesses adopt multicloud architectures and agentic AI: the need for state synchronization. API and AI gateways require a robust persistence layer to synchronize data, whether it's for governing AI token usage, facilitating agent-to-agent communication, or boosting performance through caching.

Stop Cloud Complexity: Cloudera's Anywhere Cloud for Unified Data & AI

Today’s enterprises face immense pressure: scaling fast, staying compliant, and unlocking AI-driven insights—all while fighting siloed data and growing cloud complexity. There is a better way forward, and it starts with Cloudera Anywhere Cloud. Cloudera is the only data and AI platform that delivers the cloud experience anywhere—public clouds, data centers, and the edge—bringing unified security, governance, and control to data wherever it resides. Access 100% of your data for AI-driven insights and future-proof—not just modernize–your enterprise data strategy.

Cloud-Native Performance Engineering: Tools and Strategies for AWS, Azure and GCP

There’s a moment every cloud team eventually faces. Dashboards look green. CPU is stable. Memory isn’t spiking. Auto-scaling is configured. And yet, users say the system feels slow. Welcome to cloud-native performance engineering. After working across environments hosted on Amazon Web Services, Microsoft Azure and Google Cloud Platform, I’ve realised something important: Cloud doesn’t eliminate performance problems. It simply changes their shape.