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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Moving Past Annual Audits: Why Continuous Cybersecurity is Essential

It’s 2 am on a Saturday, you’re sound asleep, and suddenly your phone lights up, ringing and buzzing loudly on your nightstand. You know it won’t be good news, but it’s worse than you could have imagined—your network and systems have suffered a ransomware attack. As you quickly change and start driving into the office, you keep asking yourself one question—didn’t we pass our annual security audit three months ago with flying colors?

What is DCIM software? #datacenters #datacentersolutions #datacenter

@hyperviewhq CEO Jad Jebara: "If you're someone in the industry or who has experienced DCIM software in the past, you would know that it can be a PAIN. But for those who are unfamiliar, let's break it down and discuss how a modern DCIM solution can transform your operations.".

Developer experience doesn't start where you think it does

Steve Jobs once said that giving customers what they wanted wasn’t his approach. “Our job is to figure out what they're going to want before they do,” he said instead. “People don't know what they want until you show it to them. Our task is to read things that are not yet on the page.” By now, this wisdom has become canonical for companies targeting end-users, but we tend to ignore it when we’re building products and processes for professional users.

The Cyber Resilience Act: What it means for open source

The Cyber Resilience Act (CRA) is nearly upon us. This wide-reaching piece of legislation will introduce new requirements, checks and balances on developers, retailers and device manufacturers; many of the looming demands haven’t gone down well in the open source community.

11 Cloud Automation Tools Powering The Future Of SaaS

Gartner predicts that by the end of 2025, 80% of organizations will use cloud automation tools to orchestrate workloads. The firm also forecasts that spending on public cloud services will hit $679 billion by the end of 2024, with SaaS leading the cloud computing market. This surge in cloud spending will shape the future of SaaS, and cloud automation tools will play a key role in this transformation.

How CloudZero Gave Duolingo Engineers What They Really Wanted

Many SaaS companies struggle to get engineers to take charge of costs and lower cloud expenses. Confused business leaders often put the problem on the shoulders of the engineers: Surely, it’s just that the engineers don’t care enough to stay within budget, or maybe they just don’t want to participate in the culture of cost efficiency leadership is trying to build. But what if your engineers actually do want to optimize costs—they just don’t have the tools and data to do so?

Introducing: incident.io for Microsoft Teams

There’s a major outage. Support tickets are mounting. Everybody from engineering to legal is scrambling for information. You have more Teams notifications clamouring for attention than you do minutes to address them, and it’s hard to know where to begin. What comes next is a balancing act—mitigating the impact, updating colleagues, managing action items, or updating a status page that will be seen by millions.

Isolating Bottlenecks: How to Determine If Your Slowdown Is Due to the Database or API

Every slowdown in your application can be traced to specific components like a database or an API, and quickly identifying the source aids the troubleshooting process. But when an API is underperforming, it may be difficult to tell whether the issue is with the API logic itself or an external service like a database that it interacts with before sending responses.
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Traffic-Driven Testing: All the Benefits of Shift-Right Testing with None of the Risk

The shift-right testing approach moves testing to later in your production cycle. Also known as "testing in production," with shift-right, you test software after it has been deployed. It gives you continuous feedback based on real-world user interactions. However, there are major drawbacks to the approach. For example, testing in production risks disrupting your user satisfaction and can mean you catch issues too late to respond to them effectively. It can also be difficult to test problems related to scale and traffic volume. Your tests are also difficult to repeat under the same conditions.