Monitoring has always relied on both network administration and network traffic analysis. Both fields provide ways to obtain data that allows us to obtain information about the general state of the platform. It is easy to understand that when faced with, for example, an application performance problem, we want to be able to observe and evaluate the traffic generated, and this is just what network traffic analysis does.
We've added a setting that allows you to choose if we should crawl all internal URLs or the external URLs too.
Today we are announcing the support for Windows containers with Kubernetes 1.14 in Preview mode. As many users may know, Rancher 2.1.0 supported Windows containers in experimental mode. Now that SIG Windows and Microsoft have announced the general availability of containers in Windows Server 2019 with Kubernetes 1.14, we have upgraded Rancher to both support the latest version of Windows containers (and Kubernetes) and after the preview is over, make it generally available.
Amazon ECS allows you to run Docker containers your application without having to actually manage physical hardware (or virtual hardware, in the case of the Fargate launch type). However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor ECS and what is important to watch.
It is difficult to overstate the importance and impact that Artificial Intelligence (AI) has had on the employee experience. This is crystal clear when you see how employees are interacting with their IT departments. Employees expect technology to just work. When there are technical problems the expectation is that fixing the issue will be fast and seamless. An increasingly important part of meeting this employee demand is the virtual agent, or chatbot.
“To start, your monitoring stack should not cost you stacks,” Sensu Software Engineer Nikki Attea told the crowd at GrafanaCon L.A. “Avocado toast is really expensive. But the good news is your monitoring solution doesn’t have to be.” To prove it, Attea presented an easy developer-centric use case that leverages Sensu, a monitoring event pipeline which collects, processes, and roots different event types including discovery, availability, telemetry, and alerts.
Pune, India – May 14, 2019: CloudHedge announces a new collaboration with Google Cloud, as a Technology Partner in the Google Cloud Partner Program, giving Google Cloud customers the ability to quickly refactor application services into containers by using CloudHedge’s tools – Discover, Transform and Cruize. CloudHedge tools can be leveraged with ease for migration of heavy workloads to Google Cloud Platform (GCP), further reducing time, cost and efforts.
Source code management (SCM) is a core component of DevOps. In addition to storing and sharing source code, SCM tools maintain an ongoing history of changes. Reviewing this history provides numerous insights into your development process, including: How often code changes are submitted, The impact of changes on application performance, Which changes result in errors, bugs, or broken builds.
We are happy to announce the release of Falco 0.15.0. This release incorporates a number of improvements, as well as bug fixes, and rules updates. This release also includes a mitigation for CVE-2019-8339, and all users are encouraged to update to this release. You can find more details about the features and improvements in the release notes, but below are a few highlights.
During the spring and summer of 2018 I was negotiating a possible acquihire of Checkly / moi with Datadog. I'm only writing about it right now because Datadog recently launched their Synthetics product — the product I would be involved with as some form of product manager. This post details how this all came to be, what steps we took in the process and some reflections on the whole thing.
