Operations | Monitoring | ITSM | DevOps | Cloud

Grafana EMEA meetup recap: accessibility, k6 testing, and multi-DC observability stacks

On Oct. 5, we hosted the first Grafana Virtual Meetup for an EMEA-based audience. Each Grafana meetup features “bite-sized” presentations from our user community and members of the Grafana Labs team. We want to provide opportunities (even virtually!) for members of our community to connect with one another and share what they’re working on or have learned.

Google Cloud Monitoring 101: Understanding metric types

Whether you are moving your applications to the cloud or modernizing them using Kubernetes, observing cloud-based workloads is more challenging than observing traditional deployments. When monitoring on-prem monoliths, operations teams had full visibility over the entire stack and full control over how/what telemetry data is collected (from infrastructure to platform to application data).

KubeCon NA 2021: Operator Day Keynote with Mark Shuttleworth

Operators, Models, Kubernetes, Hybrid Clouds, massive scale and bootstrapping quickly - Kubernetes is taking the the world by storm. So what's next? Mark Shuttleworth (one time astronaut, founder of Canonical, the company behind Ubuntu) talks with David Booth (VP Cloud Native Applications at Canonical) about the past and lays down a vision for the future.

Going Beyond Observability with Rollbar and Datadog

In this webinar, we explore some of the common objectives shared by users of both Datadog and Rollbar and how best to accomplish those goals. Datadog provides comprehensive observability covering a large swath of services and components, while Rollbar’s advanced intelligence and code improvement features help to make code insights more actionable and easily fixable.

Smoke testing in CI/CD pipelines

Here’s a common situation that plagues many development teams. You run an application through your CI/CD pipeline and all of the tests pass, which is great. But when you deploy it to a live target environment the application just does not function as expected. You can’t always predict what will happen when your application is pushed live. The solution?

Introducing default values for custom pipeline variables

Support for including default values in custom pipelines has been a highly requested feature. We are happy to announce that this feature is now live. Providing a default value helps avoid errors when you manually trigger a custom pipeline. If you often rely on the same value for certain variables, it can be frustrating to get a failed build when you forget to specify the value or have a typo when providing the value.

Faster CI Builds with Docker Remote Caching

Bitbucket Pipelines provides a Docker caching feature that can help improve build times. However, the limitation is that only compressed caches under 1GB are saved and can be used. In this blog, we outline a process showing how you can use compressed caches that are larger than 1GB. With Docker versions >= 19.03, you can use the BuildKit feature. With BuildKit, you don’t need to keep the cache locally before building the Docker image since it caches each build layer in your image registry.

Best Practices for Proactive Monitoring is Self-Service

Large financial organizations depend on monitoring teams to create the monitoring scenarios necessary for the organization’s business-critical apps. This can be a challenge, with hundreds or even thousands of apps to monitor with limited resources. This challenge is often compounded by the constant updating and changing of these apps by larger application teams.

GitLab vs JFrog: Who Has the Right Stuff?

Like the historic space race, the competition to plant the flag of DevOps is blasting off. According to market intelligence firm IDC, global business will invest $6.8 trillion in digital transformation by 2023. Yet research also suggests that 70 percent of them will fail to meet their goals. JFrog was the first company to offer a universal, hybrid, end-to-end DevOps platform.