This article will cover the most common challenges you might find when trying to use Prometheus at scale. Prometheus is one of the foundations of the cloud-native environment. It has become the de-facto standard for visibility in Kubernetes environments, creating a new category called Prometheus monitoring. The Prometheus journey is usually tied to the Kubernetes journey and the different development stages, from proof of concept to production.
Docker is an essential bridge in modern DevOps. Despite Kubernetes overtaking Docker on orchestrating containers, the Docker container itself remains the standard and likely will for the foreseeable future. We developed the Docker Metrics collector to operate as its own container that will run Metricbeat using the modules you are running in real time. Now, in addition to the Docker module, we are now releasing an AWS module for operations in the cloud.
Offering help in a crisis is a positive way to maintain communication and build a strong business relationship that may pay dividends down the road.
A few months ago, Honeycomb released our SLO — Service Level Objective — feature to the world. We’ve written before about how to use it and some of the use scenarios. Today, I’d like to say a little more about how the feature has evolved, and what we did in the process of creating it. (Some of these notes are based on my talk, “Pitfalls in Measuring SLOs;” you can find the slides to that talk here, or view the video on our Honeycomb Talks page).
Distributed tracing remains one of the most important features of any tracing system. Nearly a year ago, we announced Elastic APM distributed tracing, let’s take a look at how this useful feature works behind the scenes. Over the past few years, many applications have adopted microservice architecture. Each of the services in a microservice architecture can have their own instrumentation to provide observability into the service.
Being a UI developer, I’ve learned one thing: It doesn’t matter how carefully you write your code. Suppose you’ve double-checked that you defined and called all functions the right way or followed all the best practices. Even then you’ll see that a tiny variable can sneak behind and create an error. Now, suppose you find out that for some unknown reason a form validation or submit button isn’t working.
Coronavirus is changing everything. But amid all the talk of shut-downs, quarantine, and stock market crashes, another huge impact of the current crisis has been a little overlooked: it’s consequences for cybersecurity. With hundreds of thousands of employees now working from home – in the US, Europe, and all over the world – many companies have had to rapidly put in place systems for them to connect their home devices to corporate networks.
The following is a guest post from Jean Tunis, the principal consultant and founder of RootPerformance. You want implementations to be simple. Who doesn’t? But often, that’s not the case. SNMP is one of the oldest used protocols to manage a network. SNMP stands for simple network management protocol, but it might not have been all that simple for you. Maybe it was simple back in the late 1980s, when SNMP became a standard protocol for network monitoring.
The duality of observability is controllability. Observability is the ability to infer the internal state of a "machine” from externally exposed signals. Controllability is the ability to control input to direct the internal state to the desired outcome. We need both in today's cloud native world. Quite often we find that observability is presented as the desired end state. Yet, in modern computing environments, this isn’t really true.
5G technology, with its speed 10 times faster than 4G LTE, can help businesses realize many long-held goals, like real-time augmented reality (AR), virtual reality (VR), distributed machine learning within the Internet of Things (IoT), autonomous vehicles, smart cities, edge computing, etc. While 5G technology is imminent and likely to transform the pace of business operations, it will bring scalability challenges along with changes to networking architectures.
