Operations | Monitoring | ITSM | DevOps | Cloud

In the ever-expanding landscape of Azure data management, two powerful tools emerge as essential assets for tech professionals: AzCopy and Azure File Sync. While each has its unique capabilities, together they create an intricate symphony that enhances data transfer and synchronization within Azure. In this comprehensive guide, we’ll unravel the functionalities of both, explore their common use cases, delve into their integration processes, and weigh their benefits and drawbacks.

Observability vs Telemetry vs Monitoring - What they are, differences and what lies in future.

Explore the intricacies of scaling software delivery, from the nuances of continuous delivery to overcoming common challenges. Dive deep into how Cloudsmith can be the game-changer in your DevOps journey, ensuring agility, security, and efficiency in every release. Every business, from startups to established enterprises, feels the urgency to scale their software delivery. Why?

In case you missed it, HAProxy Technologies recently put out a press release about our stunning leadership position in G2’s Summer 2023 Grid® Reports for load balancing. We’re incredibly proud of these results, which are a direct result of the hard work and dedication of HAProxy’s community developers and our enterprise product and support teams. Looking at the Momentum Grid® Report for Load Balancing, the gap between HAProxy and the rest is impossible to ignore.

When we launched the Checkly CLI and Test Sessions last May, I wrote about the three pillars of monitoring as code. Code — write your monitoring checks as code and store them in version control. Test — test your checks against our global infrastructure and record test sessions. Deploy — deploy your checks from your local machine or CI to run them as monitors.

In Part 1 of this series, we introduced you to the key metrics you should be monitoring to ensure that you get optimal performance from CoreDNS running in your Kubernetes clusters. In Part 2, we showed you some tools you can use to monitor CoreDNS. In this post, we’ll show you how you can use Datadog to monitor metrics, logs, and traces from CoreDNS alongside telemetry from the rest of your cluster, including the infrastructure it runs on.

In Part 1 of this series, we looked at key metrics you should monitor to understand the performance of your CoreDNS servers. In this post, we’ll show you how to collect and visualize these metrics. We’ll also explore how CoreDNS logging works and show you how to collect CoreDNS logs to get even deeper visibility into your Deployment.

CoreDNS is an open source DNS server that can resolve requests for internet domain names and provide service discovery within a Kubernetes cluster. CoreDNS is the default DNS provider in Kubernetes as of v1.13. Though it can be used independently of Kubernetes, this series will focus on its role in providing Kubernetes service discovery, which simplifies cluster networking by enabling clients to access services using DNS names rather than IP addresses.