It’s that time of the year again and peak season 2022 feels different. With supply chains and global economies in flux, businesses have a lot to consider. Shipping woes are subsiding in many areas – consider that a year ago, the queue at the Port of Long Beach, California was approaching a peak of 110 vessels, down to eight freighters in September of this year. East coast ports in the US and others around the globe are seeing rising tides.
Laws vary by state. That’s expected. Fairbanks, Alaska, enacted a law prohibiting the provision of alcoholic beverages to moose, so don’t even think about it. In a part of Washington State, good luck trying to kill Bigfoot. (Not because Bigfoot doesn’t exist, but specifically because it’s illegal per a 1969 law.) But what happens when state-specific regulations are used to address a topic that transcends geographic boundaries like, say, the internet?
With 96% of organizations either using or evaluating Kubernetes and over 7 million developers using Kubernetes around the world, according to a recent CNCF report, it’s safe to say that Kubernetes is eating up the world and has become the de-facto orchestrating system of cloud-native applications. The benefits of adopting K8s are obvious in terms of efficiency, agility, and scalability.
Cyberthreats and cyberattacks continue to grow more advanced and complex, making them much harder to stop. In fact, a recent study showed that cybercriminals can penetrate an organization’s network and access network resources in 93 out of 100 cases. The odds of keeping cybercriminals away don’t look hopeful for organizations across all industries.
Your IT Infrastructure team faces untenable demands on their time and resources as your organization increasingly relies on complex hybrid infrastructures and an ever-growing set of technologies and cloud-based services. You can actually limit visibility and slow triage as you add monitoring tools to cover this expansion, blocking critical insight into your environment at the IT service level. What’s really required to be successful in today’s IT infrastructure environment?
The life of a sysadmin or SRE is often difficult, but occasionally very simple things can make a huge difference. Basic monitoring of your systemd services is one of those simple things, which we sometimes overlook. The simplest question one would want to know is if the thing that’s supposed to be running is actually running at all. If you use systemd services, you can guarantee an answer to that question within minutes using Netdata.
Redis is designed to be fast. In most cases, it is. However, there are times when Redis may be slow, due to network issues, disk latency, or other factors. When this happens, it is important to be able to detect the slow down and investigate the cause. Latency is the maximum delay between the time a client issues a command and the time the reply to the command is received by the client. Redis has strict requirements on average and worst case latency.
GitOps modernizes software management and operations by allowing developers to declaratively manage infrastructure and code using a single source of truth, usually a Git repository. Many development teams and organizations have adopted GitOps procedures to improve the creation and delivery of software applications. For a GitOps initiative to work, an orchestration system like Kubernetes is crucial.
Can it help businesses? Machine learning is an inescapable buzzword for many in the operations sector. Even friends and colleagues tend to make us aware of a new ML tool that may or may not be useful. While there are many ML tools in the market, not all are suitable for every business. Some tools, when tested, struggle to solve basic, everyday use cases. Therefore, when evaluating ML tools, other deeper questions and issues do arise.
DevOps is an IT delivery concept that combines people, practices and tools with the shared goal of accelerating the development of applications and services. Adopting DevOps at enterprise level typically requires: The continuous development of DevOps practices, as well as other factors like the rapid pace of modern code changes, facilitates a need for DevOps monitoring: a set of tools and processes to support the entire software development lifecycle.
