In this tutorial, we'll deploy a simple web app to the cloud of your choice - composed of a database and a virtual machine where the frontend code will run. So that the configuration is reusable and consistent, we'll write it in Terraform. Usually Terraform configurations are cloud-specific, and changing clouds requires a complete rewrite. In this case, so that you can reuse the same configuration across clouds, we'll be using Multy.

Managing Kubernetes version upgrades can be a formidable undertaking. API versions are graduated, new features are added and existing behaviors are deprecated. Version upgrades may also impact applications needed by the Kubernetes platform; affecting services like pod networking or DNS resolution. At LogicMonitor, we ensure our Kubernetes version upgrades are successful through a process designed to instill collaboration and due diligence in a repeatable fashion.

You’ve probably heard something like this before: “It’s a managed service! We don’t need to worry about anything!” But when it comes to your production workloads, database monitoring is imperative. With the new Snowflake Dashboards and Detectors in the Splunk Observability Content Contributors repository you can start seeing the details of individual Snowflakes.

The biggest question facing many businesses today is how to improve the efficiency and agility of their application delivery processes. Along the journey to infrastructure modernization, do they continue to maintain applications as-is, or do they need to be migrated, upgraded or replaced? This blog attempts to answer some of these questions. Take any popular enterprise app, like your Oracle business suite, or even a custom-built application, and it will typically follow a three-tier architecture.

“Automation” and “orchestration” are terms that frequently appear within the same sentence – which is unsurprising, because they are closely related. In fact, they’re so similar in meaning that it can be easy to confuse their meanings or assume that there is basically no real difference between security automation and orchestration. But, as with many concepts in the world of IT and security (“observability” vs.

Food retailers reduce the workload accumulated by their IT areas by almost 30% thanks to monitoring. Controlling data and extensive information from the whole company, by controlling, supervising and ordering everything through the same system, allows to reduce the times of action in the face of possible errors and failures, improves resource management and organization and increases the effectiveness of the business activity. In addition, monitoring saves costs.

With its market size reaching more than $2 billion in 2020, you’d think that a universal definition of the term observability would have emerged by now. But it turns out that a clear definition of a term or industry isn’t necessarily a prerequisite for the rapid growth of its market size — just ask everyone at your next dinner party to define blockchain for you and see how many different answers you get!

Logs are key to monitoring the performance of your applications. Kubernetes offers a command line tool for interacting with the control plane of a Kubernetes cluster called Kubectl. This tool allows debugging, monitoring, and, most importantly, logging capabilities. There are many great tools for SREs. However, Kubernetes supports Site Reliability Engineering principles through its capacity to standardize the definition, architecture, and orchestration of containerized applications.

One of the great things about GitFlow is that it makes parallel development very easy by isolating new development from finished work. New development, such as features, is done in feature branches and is only merged back into the main body of code when developers have validated the feature and the code is ready for release. For most development teams, feature validation happens in a staging branch coupled with a single testing environment.

We chose to use GoReleaser with our distro of the OpenTelemetry Collector in order to simplify how we build and support many operating systems and architectures. It allows us to build targeting a matrix of GOOS and GOARCH targets as well as automate creating a wide range of deliverables. Ones we have utilized are building tarballs, nfpm packages, docker images, and Homebrew formula.