Operations | Monitoring | ITSM | DevOps | Cloud

For decades, network administrators have tried to combine and centralize compute power. And the premise behind cloud computing was to delegate your data storage, analytics, and computing intelligence to some remote data center instead of or in addition to these resources remaining solely on-premises. Nowadays, increased processing power is combining with increased demands on response time to reverse the process. This blog post will dive deeper into the resulting trend, called edge computing.

In a previous article, I discussed how you could use API Management as a proxy for the Serverless360 BAM API. In the real world, I have used this approach a few times because I prefer it to the custom connectors that you can use with Logic Apps which are sometimes painful to use from a DevOps perspective and have known performance limitations that can affect the latency and throughput for connections Logic Apps make to Cloud Services.

According to Gartner, the ITOM market is divided into “three mini-suite categories — delivery automation, experience management, and performance analysis.” With business growth becoming reliant on the success of IT operations, managing IT operations to ensure optimal performance, uninterrupted service delivery, and an exceptional user experience is critical for organizations.

We are excited to announce that Qovery now supports AWS Security Token Service (STS) for all our plans! AWS STS is a web service that enables you to request temporary, limited-privilege credentials for AWS Identity and Access Management (IAM) users or for federated users who sign in using Single Sign-On (SSO). These credentials are then used to access AWS resources and services.

With native SQL support coming to InfluxDB, we can broaden the scope of developer tools used to analyze and visualize our time series data. One of these tools is Apache Superset. So let’s break down the basics of what Superset is, look at its features and benefits, and run a quick demo of Superset in action.

A business without an application performance monitoring tool runs the risk of losing customers fast. At the core of ensuring the best possible application for their customers is the use of performance tools. The metrics that monitoring tools provide will give an insight into how the web application will behave. With the use of APM tools, DevOps teams know when an issue arises and how to fix it. They also find out what risks are there so they can tackle them before it wreaks havoc in their systems.

Back in the day, before I was a father, before I was a husband, back when I was more of an adrenaline ‘junkie’, one of my ongoing adventures was skydiving. I wouldn’t necessarily call it a hobby as I never followed through with a certification, but I took my fair share of jumps. When I first started I would go with either a ‘static line’, where a cord hanging from the plane would pull my chute, or go on what is called ‘tandem’.

At Grafana Labs, we’re all about open source, and this year we took it to a whole new level. Many of you are familiar with the acronym “LGTM,” which is shorthand for “Looks good to me” and commonly used in code reviews. At Grafana Labs, LGTM has also been a guiding rubric in developing our observability stack.

Even though 2022 hasn’t even ended, Gartner has already charted its top technology trends for 2023. In this blog, we’ll look at how Applied Observability for networks — which Gartner lists as one of the top three trending technology topics in the “optimization” category — helps the organization translate network performance into business performance.

NGINX is a prominent web server, reverse proxy server, and mail proxy utilized by many websites and applications to serve content to their users. One important aspect of managing a web server is logging, which refers to the process of recording information about the server's activity and performance. In NGINX, logging is done using the error_log and access_log directives. error_log directive specifies the file where NGINX should log errors.