Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.