Operations | Monitoring | ITSM | DevOps | Cloud

In the past couple of months, after nearly a decade of huge returns and steady growth, the tech industry has officially slowed down. Companies are tightening their belts — laying off employees, freezing spending, and lowering budgets. If you work in tech right now, it’s likely you’ve felt it.

Kubernetes is an open source software that helps you manage and deploy your containerized applications. Kubernetes consists of two major component control planes (which decide where to run your pod) and a worker node (where your workload runs). As Kubernetes is a complex system, managing these components is challenging, and this is where you can use a Kubernetes as a Service solution like Amazon Elastic Kubernetes Service (EKS).

Prometheus and the Elasticsearch stack are both used for monitoring applications. But while Prometheus is primarily meant to monitor metrics, the Elasticsearch stack or the ELK stack is mainly used to collect, store, analyze, and visualize application logs. In this article, we will see what Prometheus and ELK stack is and compare their differences. Prometheus is a time-series metrics monitoring tool. Prometheus enables you to capture time-series data as metrics.

Prescriptive maintenance is one of the less-known maintenance types. However, this maintenance is proactive maintenance and for some industries, it is more effective than predictive & preventive maintenance. In this blog, we will know what prescriptive maintenance is and can you use this maintenance type in your business? So, without wasting any time let us begin!

Node.js is the most popular tool for developing server applications in JavaScript, the world's most widely used programming language. Node.js is now regarded as a critical tool for all types of microservices-based development and delivery, as it has the capabilities of both a web server and an application server. In any web application, performance is critical. Faster performance in any web application improves the user experience and leads to increased revenue, which makes business owners pleased.

Data Obfuscation is a way of making data unreadable or unusable if data breach occurs. It is like providing security to the data by encrypting it or masking it in order to make it unreadable even when the hackers can do a successful data breach. Data breaching is very common these days and every organization must protect its own data. Even if we cannot stop the data breach completely, we can save the data we have by means of data obfuscation.

As a software engineer running applications in production, it is essential to monitor this environment to maintain the health of your applications. Production monitoring software and systems are used to improve observability so that you can better understand your operating environment and visualise performance issues easily.

A recent study from Juniper Research predicts the value of enterprise cybersecurity spend will continue to climb, exceeding $226 billion in 2027; up from $179 billion in 2022. This growth of 26% over the next five years reflects a rising awareness of vulnerabilities, not least of which is DDoS (Distributed Denial of Service) as a key driver behind the increasing spend.

GrafanaCONline 2022 wrapped up on Friday, and the big finish featured sessions that covered important changes in Grafana Labs technical documentation, Grafana Cloud’s role in activist engineering projects, and the benefits of load testing with k6. There was also a great success story out of East Africa, where a major bank switched to a business monitoring system with Grafana and improved its customer satisfaction and revenue.

The Cloud Native Computing Foundation published their Annual Report for 2021 which outlines the past year and what can be expected in the upcoming 6 months. Community leaders and 62,000 contributors on GitHub came together to report on initiatives and updates to create CNCF’s second annual report. So, here are the important updates from the Kubernetes Annual Report that we think you need to know.