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    Chaos Engineering Kubernetes When considering Chaos Engineering kubernetes, we must start from the beginning. Not too long ago, applications ran in single private data centers, potentially two data centers for high availability. These data centers were on-premises, and all components were housed internally. Life was easy, and troubleshooting …

    Building a Docker Sandbox The building blocks for Docker security options and implementing Docker security best practices, such as the Kernel primitives, have been around for a long time, so they are not all new when considering their security. However, the container itself is not a kernel construct; …

    Prometheus Metric Types Let’s start at the beginning. Prometheus collects four types of metrics as part of its exposition format. Counters Gauges Histograms Summaries Prometheus collects these metrics by scraping HTTP endpoints that expose metrics, known as a pull model. Prometheus exporters built by the community can natively …

    Prometheus Monitoring In this post, I would like to discuss Prometheus monitoring and its pull-based approach ( Prometheus Pull ) to the metric collection and the Prometheus metric types. Prometheus is a powerful open-source monitoring system created by SoundCloud to monitor and alert the infrastructure and applications within …

    Starting Observability To support the new variations, your infrastructure is amid a paradigm shift. As systems become more distributed and complex, methods for building and operating them are evolving, making network visibility into your services and infrastructure more critical than ever. This leads you to adopt new practices, …

    OpenShift Networking OpenShift relies heavily on a networking stack at two layers: In the case of OpenShift itself deployed in the virtual environment, the physical network equipment directly determines the underlying network topology. OpenShift does not control this level, which provides connectivity to OpenShift masters and nodes. OpenShift …

    Auto Scaling Observability “What Is a Metric: Good for Known” So when it comes to auto scaling observability and auto scaling metrics, one needs to understand the downfall of the metric. A metric is a single number, with tags optionally appended for grouping and searching those numbers. They …

    ACI Networks The following post provides a Cisco ACI overview focusing on the network components that form the ACI data center. Firstly, the Cisco data center design traditionally built our networks based on hierarchical data center topologies. This is often referred to as the traditional data center with …

    Service Level Objectives (SLOs) Site Reliability Engineering (SRE) teams have tools such as Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets that can guide them on the road to building a reliable system with the customer viewpoint as the metric. These new tools or technologies …

    Observability vs Monitoring To understand the difference between observability vs monitoring, we need first to discuss the role of monitoring. Monitoring is the evaluation to help identify the most practical and efficient use of resources. So the big question I put to you is what to monitor. This …

    OpenShift Security Best Practices In this post, we will discuss OpenShift security best practices. We will learn about various identity providers that implement authentication in OpenShift, and service accounts and gain an understanding of the connection between users and identities. We will also discuss the authorization process and …

    Distributed Systems Observability We have had a considerable drive with innovation that has spawned several megatrends that have affected how we manage and view our network infrastructure and the need for distributed systems observability. We have seen the decomposition of everything from one to many. Many services and …