Operations | Monitoring | ITSM | DevOps | Cloud

Running a Kubernetes cluster isn’t easy. With all the benefits come complexities and unknowns. In order to truly understand your Kubernetes cluster and all the resources running inside, you need access to the treasure trove of telemetry that Kubernetes provides. With the right tools, you can get access to all the events, logs, and metrics of all the nodes, pods, containers, etc. running in your cluster. So which tool should you choose?

In modern software development, distributed systems have become increasingly common. As systems grow more complex and distributed, it can be challenging to understand how requests or messages move through the system and where bottlenecks may occur. This is where distributed tracing comes in. Distributed tracing is a technique that allows developers and operators to monitor and understand the behavior of complex systems.

Rising container usage has fueled a growing reliance on container orchestration systems such as Kubernetes, EKS, and ECS. As organizations increasingly opt to run these systems in the cloud, their cloud spend tends not only to grow but also to become more opaque due to the dynamic complexity of these environments. Typically, various services, teams, and products share cluster resources, and as nodes are added and removed, those resources continuously shift.

The dynamic nature of cloud costs can make it difficult to fully understand your cloud spend and embrace cost ownership at all levels of your organization. To establish cost governance, FinOps teams need a complete view of cloud costs, including allocation by team, service, and product. And DevOps teams need to detect, investigate, and quickly mitigate unexpected costs to minimize overruns, even as they continue to build features and operate their services.

After successfully concluding Day 1 & 2, we had an exciting Day 3 of INTEGRATE 2023 with some awesome sessions, powerful demos, and of course many updates from Microsoft Product Group.

As one of the most innovative, in-demand roles on the market, data scientists are responsible for harnessing the power of data to make valuable predictions and decisions. This blog post takes an in-depth look at what a data scientist does, from mining structured and unstructured data and extracting useful information to using advanced algorithms and technologies like machine learning and artificial intelligence (AI) for decision-making.

Splunk is such an open, extensible and multi-use product that the craziest technical addon ideas are feasible. In this blog, I will tell you why and how I had the idea to transform Splunk into a slide presentation tool.

As the UK’s edge infrastructure provider, we’ve launched platformEDGE™ — a next-generation platform that will enable regional businesses across the UK to harness the opportunity of digital transformation. PlatformEDGE is a UK-wide integrated infrastructure that enables scalable, high-performance, low-latency edge application delivery.

A comprehensive guide on understanding high cardinality Prometheus metrics, proven ways to find high cardinality metrics and manage them.

What is hybrid cloud automation, and how can it help manage specific tasks in your environment? With more and more infrastructure moving into public, private, hybrid, and multi cloud environments, you may be exploring ways to automate manual processes that happen in the cloud — like configuration and deployment tasks. Let's dive into the definition and benefits of cloud automation, as well as some methods to approach this strategy in increasingly complex heterogenous computing environments.