Control over operational costs is pivotal in Kubernetes' deployment and management. Although Kubernetes brings power and control over your deployments, it also necessitates thorough understanding and management of costs. OpenCost, specifically designed for Kubernetes cost monitoring, combined with VictoriaMetrics, an efficient time series database, offers a comprehensive solution for this challenge.
When a headhunter reached out to me about the CEO role at Cloudsmith (where I started in August!), one of the first things I did was sign up for a trial account. The product's depth and sophistication really impressed me, and contributed to my decision to go ahead with the interviews. (Glad I did.) They were right; our web interface is still largely a Django web app, tightly coupled to the back end, and you can see the Bootstrap showing everywhere.
In 2022, Ofcom, a UK regulator, began its market study into the cloud industry to investigate the dominance that hyperscalers, especially AWS and Microsoft, hold over the industry and the limits this creates for customers. This investigation follows concerns surrounding customers feeling “locked in” to a single provider, potentially leading to inflated prices in the market¹.
How did you like our list of the top 10 must-read DevOps blogs? This time, we welcome you to our definitive guide on the top ping monitoring tools you should consider for 2024!
Once upon a time, in the bustling city of DataVille, lived a team of dedicated IT professionals tirelessly working to maintain the city’s digital heartbeat. Their mission was to ensure the smooth operation of their city’s digital infrastructure, which was not limited to the daytime operations but extended beyond business hours. They were the unsung heroes, the guardians of the city’s data. Their tool of choice? Grafana, a powerful open-source platform for observability.
Time series data is foundational in almost all applications and services. Even if time series isn’t the focus, like in an IoT sensor data centered application, it appears in monitoring data as metrics, logs, and traces. Because of time series data’s unique characteristics, it’s best served in a time series database. InfluxDB is purpose-built to handle the high volume and velocity of time series ingestion, and perform real-time analytics, alerting, and anomaly detection at scale.