Operations | Monitoring | ITSM | DevOps | Cloud

We recently announced the new Codefresh GitOps Cloud, the easiest way to promote changes across Argo CD applications–even across different clusters. With Codefresh GitOps Cloud, you can model your own promotion flow with a graphical editor (although YAML is still available). You define exactly how an application reaches production, including all the requirements and approval gates your organization needs. With Codefresh, environment information gets modelled in the platform itself.

No one likes to admit it but we all hit snooze on the morning alarm every now and then. The same goes for Oh Dear alerts - sometimes you know that link deep in the docs will get fixed eventually but right now you're busy working on something else. Getting reminded every hour isn’t always helpful. Since April 2020, Oh Dear has allowed you to temporarily silence alerts for any check.

Being the most popular cloud solution provider, AWS needs no introduction. With its powerful and numerous services and solutions, many companies of all sizes and shapes run their applications and/or infrastructure on AWS. With AWS being integrated with other internal services as well as external solutions hosting the business apps, it is crucial to be aware of what's happening across the landscape and beyond, to ensure business continuity. The AWS plugin for SquaredUp helps you achieve exactly that.

Logs play a crucial role in DevOps and software development, especially when troubleshooting issues. However, raw, unformatted logs can quickly become overwhelming and difficult to navigate. This is where logging formatters help by turning messy log entries into clear, structured data, making it easier to pinpoint problems. In this guide, we’ll cover everything you need to know about logging formatters—how they work, why they matter, and tips for implementing them effectively in your workflow.

Cloud adoption is at an all-time high but unified network views haven’t kept up. With 98% of organizations using cloud infrastructure and 95% supporting remote workers, what once lived in a controlled environment is now scattered across public clouds, hybrid setups, personal devices, and remote endpoints. The result? A visibility crisis and it’s hitting IP address management (IPAM) hard.

Monolithic and microservices architectures represent two fundamentally different approaches to software design. By understanding the benefits and drawbacks of each architectural style, developers can make informed decisions about which approach best fits their application needs. While monolithic architecture bundles all application functionality into a single deployable unit, microservices architecture breaks the application into smaller, independently deployable services.

Implementing robust data governance in microservices architectures presents unique challenges and opportunities. As organizations decompose monolithic applications into distributed services, traditional centralized data management approaches no longer suffice. Each microservice may manage its own data store, creating potential inconsistencies, compliance risks, and security challenges.