Many organizations use Kubernetes to quickly ship new features and improve the reliability of their services. Rancher enables teams to reduce the operational overhead of managing their cloud-native workloads — but getting continuous visibility into these environments can be challenging. In this post, we’ll explore how you can quickly start monitoring orchestrated workloads with Rancher’s built-in support for Prometheus and Grafana.
Holler is a messaging tech company that enriches conversations everywhere by creating and delivering useful, entertaining, expressive visual content to add texture and emotion to messaging environments. As the company has continued to grow, the engineering organization has scaled to meet the demand for its services. However, without a fully staffed Operations team, most of the engineers at Holler perform double duty across DevOps to keep the service performant for consumers.
When it comes to systems reliability, you wouldn’t normally think that unleashing additional chaos would actually be helpful, would you? As more engineering teams moved toward microservice-based architectures for cloud applications over the course of this past decade, many of them didn’t change their testing strategies.
At Logz.io, we’ve built our Log Management solution on the ELK Stack because we know it’s what modern engineering teams prefer. It’s familiar, powerful, and integrates easily with other DevOps and cloud technologies. That’s what makes migrating from ELK to Logz.io a seamless process. This means current ELK users can easily transition to Logz.io. If you’re currently using ELK, you can ship the same data using exactly the same shipping mechanisms.
We hate waiting. In a world that somehow always seems to run short of time, nobody wants to wait. No queues. No delayed flights. We can’t even stand hold music anymore. (Hours of looped music to get my internet connection fixed? No thanks!)
Today’s Tip of the Day is the final of three focused on Domain Name System (DNS) monitoring. In the rest of the series, we looked at how digital experience monitoring (DEM) can (i) help ensure users are served by the correct DNS server to reduce latency and (ii) help to guard against DNS-related attacks. In today’s post, we talk about Anycast DNS, the advantages it provides, the challenges it presents in relation to troubleshooting DNS issues, and how to overcome them with Catchpoint.
In the world of IT, availability can mean a lot of things. Your website is available if it is up, responding in a timely manner, sending the correct headers, and serving a valid certificate. Your network is available if the correct hosts are online, responding to ICMP pings, and responding to TCP requests on specific ports. Your API endpoint is available if it returns the correct values when sent specific requests.
Welcome to another blog in our series on cost management and optimisation in Elasticsearch Service. In previous installments, we looked at hot-warm architecture and index lifecycle management as ways of managing the costs associated with data retention and at managing replicas as a means of optimising the structure of your Elasticsearch Service deployment. Be sure to check out the other blogs in the series for additional tips to help you as you build out your deployment.
