In part two, I will cover: Microservices Architecture Overview: New Challenges for Monolithic Architecture As an application grows, so does the amount of code written. This can quickly overwhelm the development environment every time it needs to be opened and run. As you must deploy everything in one place, this approach means that the transition to another programming language, or other technologies becomes a big problem.

Modern Kubernetes environments are becoming increasingly complex. In 2021, Datadog analyzed real-world usage data from more than 1.5 billion containers and found that the average number of pods per organization had doubled over the course of two years. Organizations running containers also tend to deploy more monitors than companies that don’t leverage containers, pointing to the increased need for monitoring in these environments.

AWS did not intend to build Amazon EKS; it simply had to. Kubernetes adoption beamed light years ahead of AWS' own managed container orchestration service. This forced AWS to develop a managed service to accommodate customers who wanted to use upstream Kubernetes but did not want to do the management themselves. As soon as AWS got around to it, it knocked the Kubernetes-based container management service out of the park.

Developing a strategy for collecting application-level logs necessitates stepping back and looking at the big picture. Engineers developing the applications may only see logging at its ground level: the code that writes the event to the log—for example a function that captures Warning: An interesting event has occurred! But where does that message go from there? What path does it travel to get to its destination?

Puppet 6 brought the ability to defer functions to runtime on the agent, and now we've released improvements that make this easier to do. Read on to find out more and to make sure your modules are ready to be deferred.

After months in development, we are thrilled to announce the launch of Cycle.io's support for NVIDIA GPUs (Beta). Combined with an already powerful platform that enables developers to focus on building, rather than managing, the addition of GPUs will further empower the development of accelerated applications which require a higher level of compute power.

Web and browser technology continues to advance, narrowing the gap between the performance of web and native applications. Features that were once exclusive to native applications can be implemented in web applications. This is due in part to the emergence of progressive web applications (PWAs). Web applications can now be installed, receive push notifications, and even work offline.

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.

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.