Every product or application needs a release strategy. It’s how you can double check that everything in your deployment is appropriately tested, validated and verified. Having a standardized release strategy in place allows your team to follow a protocol and reduce the number of unknowns they must face in the product life cycle. However, there are a few considerations to make this critical process run smoothly.
Organizations are becoming more aware of the advantages of upgrading their continuous integration and continuous delivery (CI/CD) pipelines and moving them to the cloud, from lowering infrastructure costs to eliminating security threats. But carrying out a transfer is challenging, especially when a variety of platforms and technologies are involved.
If you are a beginner on your Active Directory (AD) learning journey, then you must have stumbled upon the term LDAP. It’s quite possible that you feel a little lost trying to understand this concept. The objective of this blog is to get you comfortable with LDAP and more confident about your AD learning journey. To begin with, let’s address the subject head-on! What is LDAP?
Eventarc is a Google Cloud offering that ingests and routes events between GCP products, such as Cloud Run, Cloud Functions, and Pub/Sub, making it easy to build automated, event-driven workflows in complex environments. By taking care of event ingestion, delivery, authorization, and error handling, Eventarc reduces the development overhead that is required to build and maintain these workflows and helps you improve application resilience.
Moving from a monolith to microservices lets you simplify code deployments, improve the reliability of your applications, and give teams autonomy to work independently in their preferred languages and tooling. But adopting a microservices architecture can bring increased complexity that leads to gaps in your team members’ knowledge about how your services work, what dependencies they have, and which teams own them.
The explosion of APIs, devices, applications, and data sources has complicated the task of building connectivity across the enterprise. As organizations are connecting to applications outside of their four walls, they risk becoming fragmented. Moreover, existing on-premise systems, such as AS/400 and ERPs, need to be able to communicate both internally and externally.