Operations | Monitoring | ITSM | DevOps | Cloud

The rise of cloud native and containerization, along with the automation of the CI/CD pipeline, introduced fundamental changes to existing application development, deployment, and security paradigms. Because cloud native is so different from traditional architectures, both in how workloads are developed and how they need to be secured, there is a need to rethink our approach to security in these environments.

We just released the new SquaredUp 5.4 with some brilliant new features. Headlining as the two biggest updates were the new ODBC data source and a new visualization – the Surface image tile. The Surface tile lets you build stunning dashboards with any image.

In LogStream 3.0, we introduced a framework that provides a way for LogStream customers to build, reuse, and share configuration modules – including pipelines, lookups, data samples, and knowledge objects – called Packs. While each Pack has its own “context” containing custom pipelines, routes, lookups, variables, etc., it still retains access to built-in LogStream configuration that is shipped with the product.

Since we introduced AppScope in 2021, we’ve been relentlessly working towards the production-ready milestone. Last week we released AppScope 1.0. It’s been a long haul getting to this point. Not really sure if it took this long because we solved difficult problems, or if we’re just that slow. Someone told me that what we are doing would go a lot faster if we use a modern high-level language. Maybe … Can you imagine doing this in TypeScript? Yeah, me either.

React, a front-end framework for building user interfaces, uses component-based architecture and non-opinionated design principles, making it a developer favorite. React has been widely adopted and has a large community of developers behind it. Netlify is a popular framework for hosting React applications, but it does not provide your team with the highest level of control over the deployment process. As a result, you are not able to perform important tasks like running automated tests.

Over the past few years, we’ve been seeing large-scale consolidation taking place in our marketplace, with private equity firms and margin-based companies, such as telcos and traditional IT consulting businesses, investing heavily in MSPs.

In cloud native computing (Kubernetes in our case), there is a requirement to automatically scale the compute resources used for performing a task. The autoscaling cloud computer strategy allows to dynamically adjust the active number of application servers and allocated resources instead of responding manually in real-time to traffic surges that necessitate more resources and instances.