At Stackery, our engineers live and breathe serverless development every day. Because of this, we are constantly evaluating the current soundbites about it; when a field is expanding this quickly, it’s not uncommon to hear a generous handful of misguided assumptions. So, despite the increasing influence of cloudside development, there are still a number of declarations published every week that seem to amplify some common and outdated misconceptions.

MongoDB Atlas is a fully managed NoSQL database that deploys onto the cloud platform of your choice: AWS, Azure, or GCP. Atlas provides built-in security features and automatically distributes clusters across availability zones to help ensure high availability and uptime. We’re excited to announce that with our new integration, you can now monitor MongoDB Atlas health and performance metrics alongside the rest of your cloud infrastructure and the applications that depend on your database.

Software often seems like a benign version of Game of Thrones, in which any dominant or ascending technology/methodology is constantly challenged by newer and more attractive rivals. So as soon as microservices entered the mainstream, it didn’t take long until some developers saw it as flawed, and proposed nanoservices as a replacement. In this article, we ask why the move to breaking down software into smaller and smaller pieces is a good idea.

“Value ++” One of our engineers on the TechOps team coined that term. It references the shorthand operator for “increment” in various coding languages. It also is a motto for what we should be doing as a team… always adding value.

Kubernetes, like a lot of other tools, can be noisy. Errors and warnings often go completely unnoticed in the event stream. Or sometimes they are noticed, but are hard to understand in the context of what else is happening in the cluster. Sentry, unlike a lot of other tools, works to eliminate that noise as much as possible, including Kubernetes-related noise.

Bloomberg is best known as a media company with its news destination site, its award-winning magazine Bloomberg Businessweek, and its daily 24-7 social media program, Tic Toc, on Twitter. But the main product for the 38-year-old company is actually Bloomberg Terminal, a software system that aggregates real-time market data and delivers financial news to more than 325,000 subscribers around the world.

In this post, we will walk through how to connect GitLab’s Auto DevOps feature with a Rancher-managed Kubernetes cluster, making use of a feature introduced in Rancher v2.2.0 called Authorized Cluster Endpoint. Readers can expect to walk away with an understanding of how GitLab integrates with Kubernetes and how Rancher simplifies this workflow with Authorized Cluster Endpoint.

In September 2017, the National Institute of Standards and Technology (NIST) released Special Publication (SP) 800-190, Application Container Security Guide. NIST SP 800-190 explains the security concerns associated with container technologies and recommendations for the image details and container runtime security. It provides prescriptive details for various sections including image, registry, orchestrator, container and host OS countermeasures.

We’re happy to announce that we released an early version of Icinga Reporting today! With this release we create the foundation for an overall reporting functionality for Icinga by introducing a new way to work with collected data. At the same time we are also publishing the first use case of Icinga Reporting which enables you to calculate, display and export SLA reports for your hosts and services.

A common sentiment among our prospects after they see our demo for the first time is: “That’s it? It can’t be that simple!”. The truth is – yes it can be, and it should be. ML and AI should make IT Ops simpler, and a big part of that is usability. If your ML & AI powered IT Ops tools take months to set up and weeks to learn, and then don’t provide a substantially improved user experience, you’re obviously using the wrong tools.