Operations | Monitoring | ITSM | DevOps | Cloud

As cloud systems become increasingly sophisticated, you want a cloud monitoring platform that helps you identify, isolate, and fix root-cause issues. Meanwhile, engineering leaders are under increasing pressure to reduce technology costs as the global economic outlook remains uncertain. With Datadog, you can observe, monitor, analyze, and report on the health of your infrastructure, applications, and services in any cloud and at scale.

Etcd plays a critical role in your Kubernetes setup: it stores the ever-changing state of your cluster and its objects, and the API server uses this data to manage cluster resources. As your applications thrive and your Kubernetes clusters see more traffic, etcd handles an increasing amount of data. But etcd’s storage space is limited: the recommended maximum is 8 GiB, and a large and dynamic cluster can easily generate enough data to reach that limit.

When working with databases, we often encounter rows that lack data. This missing data may result from unknown or inapplicable values, errors during data import or input, or specific calculations involving non-existent values. In such cases, there are two ways to represent missing data: NULLs and empty (or blank) values. While these might seem identical at first glance, they are different and impact essential database operations in distinct ways.

Understanding what went wrong, what went right, and how to improve is crucial for IT teams striving for excellence. But as teams evaluate their processes and outcomes, they often encounter two tools for reflection: postmortems and retrospectives. While they may seem similar at first glance, their objectives and applications differ significantly. Let’s dive into the nuances of retrospective vs. post mortem and explore why both hold a pivotal place in team growth and project success.

Large Language Models, or LLMs, have become a near-ubiquitous technology in recent years. Promising the ability to generate human-like content with simple and direct prompts, LLMs have been integrated across a diverse array of systems, purposes, and functions, including content generation, image identification and curation, and even heuristics-based performance testing for APIs and other software components.

For scaling businesses, transitioning from PaaS (Platform as a Service) to IaaS (Infrastructure as a Service) is less about a choice and more about necessity. Staying on PaaS too long can result in skyrocketing costs, limited flexibility, and performance bottlenecks — challenges that only grow as your workloads and team scale.