Operations | Monitoring | ITSM | DevOps | Cloud

By continuously running a well-built general-purpose database performance monitoring facility, organizations can gain constant visibility into the availability and responsiveness of their databases and database management systems (DBMSs). When such a tool is equipped with analytics to compare historical metrics against current values, administrators can immediately understand how current values and behaviors stack up against prior averages and typical baselines.

Back in the days, the role of the CIO was relatively clear: the focus was on deploying, managing, and maintaining IT systems across the organization. The CIO’s responsibilities started to blur when end-users became more tech-savvy - around the millenium. Reasons were that ‘they can now get their own technology and don’t need IT to do it for them’. This even led to the much-repeated “death of the CIO meme”.

This article was written for the Dashbird blog by Maciej Radzikowski, who builds serverless AWS solutions and shares his knowledge on BetterDev.blog. Kinesis Data Streams are the solution for real-time streaming and analytics at scale. As we learned last November, AWS themselves use it internally to keep, well, AWS working. Kinesis works very well with AWS Lambda.

Gartner Market Guide for AIOps Platforms, Pankaj Prasad, Padraig Byrne, Josh Chessman, April 6, 2021 Gartner Market Guides are used extensively by end-users building out their vendor shortlists for I&O leaders focused on Infrastructure, Operations and Cloud Management initiatives.

Performing day-to-day IT tasks can be demanding—not because all tasks are challenging to carryout, but because of the repetitive nature of many tasks. A high number of mundane, repetitive tasks impacts productivity. Over time, these repetitive, no-brainer tasks can even eat away so much valuable time that it effectively halts your organization’s growth.

No matter where you live, if your business targets a global audience, the question of where to host your website comes up pretty often.

The software industry has been leading the automation trend by setting up tools, frameworks, and platforms to simplify and automate application development and deployment workflows. This enables less human involvement, less error-prone situations, and more consistency and reliability in rolling out software.

You’re called in. The system is misbehaving. It could be a key metric going crazy, or exceptions starting to fire. You’re troubleshooting, beating around the bush, just to realize that one of the team’s deployments was the one messing things up. Sounds familiar? If you’re practicing continuous deployment, you probably experience that several times a week, if not more. Users report that 50% of their outages are due to infrastructure and code changes, namely deployments.

Since the revolutionization of the concept by Docker in 2013, containers have become a mainstay in application development. Their speed and resource efficiency make them ideal for a DevOps environment as they allow developers to run software faster and more reliably, no matter where it is deployed. With containerization, it’s possible to move and scale several applications across clouds and data centers. However, this scalability can eventually become an operational challenge.

[Three hundred and eighty-one]. The number of days it’s been since our Sentry offices shut down, in what we believed at that time to be a very short-term temporary measure while we took stock of the events unfolding around us.