Operations | Monitoring | ITSM | DevOps | Cloud

Stackery is pleased to announce its addition of support for the new AWS HTTP APIs service which is being introduced today alongside the existing API Gateway tooling. Our addition of such support, in parallel with the GA announcement of HTTP APIs, is an example of how we partner with AWS to accelerate serverless application development and delivery for customers.

Data pipelines provide the ability to operate on streams of real-time data and process large data volumes. Monitoring data pipelines can present a challenge because many of the important metrics are unique. For example, with data pipelines, you need to understand the throughput of the pipeline, how long it takes data to flow through it and whether your data pipeline is resource-constrained.

For many years WordPress has invariably remained the CMS number 1, supporting about half of the world’s websites. All hosting service providers declare compatibility with WordPress – and in most cases this is true. WordPress has no excessive technical requirements. However, it can’t be denied that WP-based websites work better than elsewhere on the servers of certain providers. WordPress will work properly on any Apache or Nginx-based web hosting with a MySQL or MariaDB database.

Today we are announcing the removal of the built-in Docker registry that comes built-in with all Codefresh accounts. The registry will become read-only on April 15, 2020 and we’re aiming to remove it completely May 1, 2020.

Norwegian leader in fleet management, equipment and vehicle tracking, ABAX is one of Europe’s fastest-growing technology businesses. The company provides sophisticated fleet tracking, electronic mileage logs and equipment and vehicle control systems to more than 26,500 customers. ABAX manages over 250,000 active subscriptions that connect a variety of vehicles and industrial equipment subscriptions.

Tags provide critical context for troubleshooting issues across any dimension of your environment. By applying best practices for tagging your systems, you can efficiently organize and analyze all your monitoring data, and set up automated multi alerts to streamline alerting workflows. Similar to any tags you would add to your services and infrastructure, monitor tags—tags that you apply to your monitors—are an essential feature for organizing and simplifying your workflows.

Container technologies have taken the infrastructure world by storm. Ideal for microservice architectures and environments that scale rapidly or have frequent releases, containers have seen a rapid increase in usage in recent years. But adopting Docker, containerd, or other container runtimes introduces significant complexity in terms of orchestration. That’s where Kubernetes comes into play.

As explained in Part 1 of this series, monitoring a Kubernetes environment requires a different approach than monitoring VM-based workloads or even unorchestrated containers. The good news is that Kubernetes is built around objects such as Deployments and DaemonSets, which provide long-lived abstractions on top of dynamic container workloads.