Has your phone gone in the middle of the night when your boss is calling because the server is down? Maybe you wake up to a tone of text messages that something is wrong with the server? If you have encountered this, then you know the importance of monitoring your server so that you are not the last to know when there is a problem. Part of server monitoring is putting best practices in place to ensure you are prepared for the unexpected.
Over the last 10 years, the landscape that we manage, maintain, and control as operators and developers has changed dramatically. We’ve shifted from monolith to microservices, from bare metal to VMs to containers to function-based computing — and it’s changed how we need to approach monitoring and observability.
The end of TLS v1.0 and v1.1 is near – the most popular browsers will either display a warning message when you visit a TLS 1.0/1.1 site or require user intervention and confirmation to connect to the website.
When it comes to complex application integrations, RED monitoring provides a sensible and necessary common element to see how our systems are performing and to alert us to behavior which is detrimental to your customers and your business goals. So, what is RED? RED stands for rate, errors, duration and is an offshoot of the Google Golden Signals.
With more and more endpoints accessing your network remotely, you should expect rapid increases in VPN connections and usage, as well as exponential usage of cloud-based services. There are numerous Splunk apps that can help you increase the monitoring of remote endpoints but let’s showcase Splunk Security Essentials (SSE).
Right, so now the vast majority of your workforce works remotely. Clearly managing all these inbound VPN connections is on top of mind, but what about other vulnerabilities you should be monitoring for? In addition to the ever increasing number of inbound VPN connections, organizations can expect an increase in the use of SaaS-based collaborative software such as Slack, Dropbox, G Suite, and Trello.
Gunicorn is a popular application server for Python applications. It uses the Web Server Gateway Interface (WSGI), which defines how a web server communicates with and makes requests to a Python application. In production, Gunicorn is often deployed behind an NGINX web server. NGINX proxies web requests and passes them on to Gunicorn worker processes that execute the application.
The NiCE Oracle Management Pack enables advanced health and performance diagnostics for Oracle. Health and performance measurement is displayed directly in your Microsoft System Center console. NiCE integrations into SquaredUp dashboards and Cookdowns’ Easy Tune make it even easier to tune Oracle monitoring. Leverage your existing investment, reduce costs, save time and build efficiencies that will last beyond your expectations.
AI Ops is about enabling developers, program managers, service engineers, website reliability engineers etc. to efficiently build as well as run online services or applications at scale with AI & ML techniques. AI Ops is expected to help improve service quality. customer satisfaction, enhance technology productivity, and reduce cost. With hype all around the world regarding artificial intelligence, IT leaders are sceptical whether it will actually be useful to them or will it add to their costs.
Today, we announced our $40M funding round led by Telstra Ventures. We have been working with Telstra as a customer for many years. When Telstra Ventures, who was familiar with Telstra’s success in using Rancher and Kubernetes, approached us for a potential funding round, it was a no-brainer. A leading telco like Telstra exemplifies Rancher’s vision to Run Kubernetes Everywhere.
