In today’s digital landscape, regulatory compliance is no longer a mere checkbox but a critical pillar for organizations striving to build trust and ensure data privacy. Compliance is the cornerstone of a robust security framework, safeguarding sensitive data, protecting customer privacy, and mitigating cyber threats. …

In today’s digital world, businesses generate enormous amounts of machine data from logs and events from different parts of the technology stack. This data can provide crucial analytics and insights into applications, infrastructure, and business performance. Businesses require better log analytics to make sense of the data, which can offer…

Today, efficient software is indispensable to running regular business operations. Legacy applications are outdated systems that can hinder business operations by running on obsolete technology. They can cause inefficiencies and slow progress, leading to underperformance and potential extinction if the organization cannot keep up with competitors. Application modernization involves continuously…

In my previous blog on what is observability and why the buzz, I spoke about its three pillars (logs, metrics, and traces) and highlighted its past & present, along with its benefits. Gartner ranked observability among the top 10 strategic tech trends for 2023. So, it is crucial to understand…

Kubernetes has set itself as a go-to orchestrator over the last few years. And this is primarily the reason that almost all the leading cloud providers have come up with their own managed Kubernetes services. One such widely popular service is Amazon Elastic Kubernetes Service (EKS). EKS lets users efficiently…

Amazon Web Services (AWS) has ruled the cloud market for a considerable time now. Even after recent advancements from its contemporaries, AWS is still the largest and most broadly adopted Cloud Service Provider that is continuously expanding its global availability. The AWS Cloud now covers 30 geographic regions with 96…

Excel is still a “go-to” choice for table calculation of small, medium, and large datasets. However, it gets tedious when the dataset gets too huge — say a million rows and hundreds of columns, as it tends to work slowly, hang, or crash. Handling such humongous datasets is not easy…

Software organizations are under constant pressure to deliver software at the earliest due to market demands and cut-throat competition. This might sometimes lead to potentially releasing software that is with immature code. These software function properly and pass through the normal QA checks but having immature code in excess quantities…

A desire for faster feature additions and software delivery alongside better collaboration between developers and the system operators started the DevOps revolution. DevOps for organizations signifies a shift in their IT culture to be future-ready by adopting agile and lean methods to speed up the delivery of their IT services…