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Prometheus Metric Types

    Prometheus Metric Types For Prometheus metric types, we want as many metrics as possible. These need to be stored so we can follow trends, understand what has been happening from a historical view, and better predict any issues. So, there are several parts to a Prometheus Monitoring solution …

Prometheus Monitoring

    Prometheus Monitoring In this post, I would like to discuss Prometheus monitoring and its pull-based approach ( Prometheus Pull ) to the metric collection along with the Prometheus Metric Types. First, let us roll back in time before we had Prometheus network monitoring, say ten years, and look at …

service level objectives

Service Level Objectives

    Service Level Objectives 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 important than ever. All of this leads you to …

OpenShift Networking

    OpenShift Networking We have several challenges with traditional data center networks that prove the inability to support today’s types of applications, such as microservices and containers. Therefore we need a new set of networking technologies built into OpenShift SDN that can more adequately deal with today’s landscape changes. …

auto scaling observability

    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. In reality, a metric is a single number, with tags optionally appended for grouping and searching those …

ACI networks

ACI Networks

    ACI Networks Traditionally, the Cisco data center design built our networks based on hierarchical data center topologies. This is often referred to as the traditional data center with a three-tier design with an access layer, an aggregation layer, and a core layer. Historically, this design enabled a substantial …

Cisco ACI

    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 …

auto scaling observability

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

openshift security best practices

    OpenShift Security Best Practices Securing containerized environments is considerably different from securing the traditional monolithic application because of the inherent nature of the microservices architecture. We went from one to many and there is a clear difference in attack surface and entry points to consider. So there is …

System Observability

    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. In reality, we have seen the decomposition of everything, from one to many. Many …

system reliability

    Reliability In Distributed System When considering reliability in a distributed system, there have been considerable shifts in our environmental landscape that have caused us to examine how we operate and run our systems and networks. We have had a mega shift with the introduction of various cloud platforms …

chaos engineering

Baseline Engineering

    Baseline Engineering Baseline Engineering was easy in the past, applications were running in single private data centers, potentially two data centers for high availability. There may have been some satellite PoPs but generally, everything was housed in a few locations. These types of data centers were on-premises and …