Every day, we generate tons of data, so much so that we cannot analyze them manually anymore. Visualization is a process by which the generated data will be broken down into smaller packages. Visualization extensively relies on observability and the triumvirate of Logs, Metrics and Traces. When it comes to visualizations and dashboards, Kibana and Grafana are two prominent names in the market. What makes them stand apart from their peers is their ability to conceive top-notch analytics charts.

Internet Information Services (IIS) stands out as the primary web hosting solution for Windows-based servers. With a heritage deeply rooted in Microsoft's commitment to providing robust and reliable web server software, IIS has evolved into the top choice for hosting websites and web applications. The inherent compatibility between IIS and the Windows operating system sets it apart from other web server options, enabling it to fully leverage the strengths of the Windows environment.

Linux is a powerful operating system that has become a staple in the world of computing. With its open-source nature and versatility, it has gained popularity among individuals and organizations alike. However, as with any operating system, there is a need for robust logging and auditing capabilities. This is where the concept of "Advance Logging and Auditing in Linux" comes into play. In simple terms, logging and auditing are methods of recording and analyzing system activity.

Fintech, an abbreviation for financial technology, encompasses many firms and technologies that employ innovation and tech to enhance and automate financial services and operations. Their goal is to enhance the efficiency, accessibility, and user-friendliness of financial services. Fintech entities span numerous sectors within the financial industry, such as online payments, lending, digital banking, investing, insurance, and more, all aimed at streamlining financial processes.

Service Level Agreements (SLAs) are foundational contracts that define the expectations and commitments between service providers and their customers. These agreements outline the quality, performance, and availability of services, setting the stage for a harmonious relationship. However, as service environments grow increasingly complex, the risk of SLA breaches looms ever larger.

The word "cache" is used in many different contexts. Typically, a cache is a small chunk of data stored locally for quick access. In this case, it’s about computer caches, i.e., the data stored in memory. Micro-caching is a technique where a programmer uses this cached data to do some quick computations, which can lead to some amazing solutions. In micro caching, dynamically generated content is cached for only a brief period rather than full-page caching.

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It allows you to create and manage clusters of machines, called Kubernetes clusters, to run your applications in a scalable and highly available manner. Kubernetes clusters provide a distributed and scalable platform for running containerized workloads.

In the world of Kubernetes, where applications are encapsulated within containers and seamlessly distributed across diverse clusters of computers, the enigmatic Kubernetes scheduler takes centre stage. Think of it as the orchestra conductor of your Kubernetes cluster, orchestrating a symphony of resources to ensure seamless operations. This unassuming yet powerful component leverages a sophisticated algorithm to perform the intricate dance of optimizing resource allocation.

Redis, as an in-memory data store, excels at providing high-speed data access and manipulation. However, without effective monitoring, the potential advantages of Redis can be compromised due to performance bottlenecks, scalability issues, and resource constraints. By closely scrutinizing key metrics, Redis monitoring allows you to proactively detect and address potential problems, ensuring the stability, reliability, and high-performance operation of your Redis environment.

In the earlier days of the internet, organizations faced resource allocation challenges when running applications on physical servers. They initially resorted to running individual applications on separate physical servers, which was costly and not scalable. As the internet continued to evolve, organizations sought more efficient ways to manage their applications and workloads.