Operations | Monitoring | ITSM | DevOps | Cloud

The widespread adoption of digital transformation triggered by the global health crisis has created a boom. For some businesses, the transition was smooth, but for others, it was an aggressive shift. Out of all the challenges posed by the transition to digital environments, messy cloud cost management and rocketing cloud bills are the most taxing. According to Gartner, through 2024, 60% of infrastructure and operations leaders will bear cloud costs that hurt their on-premises budgets.

Continuous integration (CI) has become the mainstream approach to software development as it enables organizations to iterate quickly while minimizing the risk of releasing faulty code. To implement CI, many organizations rely on Jenkins—one of the most mature and widely used automation servers on the market. Jenkins comes with hundreds of community-backed plugins to help you easily integrate it with other tools in your development workflow.

The reliability of a website affects its earning potential, as every second in the digital world counts. According to a study by BCG and Ryte, every second of loading speed costs from $3,000 to $9,000, depending on the eCommerce industry. That shows that your website has to perform optimally all year round. It's the only way to avoid losing money. Aside from outstanding performance, you need to work on your website's design. Certain tools help you improve it to get more conversions.

A couple months ago, a Splunk admin told us about a bad experience with data downtime. Every morning, the first thing she would do is check that her company’s data pipelines didn’t break overnight. She would log into her Splunk dashboard and then run an SPL query to get last night’s ingest volume for their main Splunk index. This was to make sure nothing looked out of the ordinary.

As an idea conceived by Gartner four years ago, AIOps is already a mature practice. But it is also one that continues to evolve as businesses turn to AIOps to support new use cases, and as AIOps vendors build better and more efficient AIOps tools. That fact begs the questions: what’s next for AIOps? What are the relevant trends that will shape the future of AIOps over the next several years, and how will AIOps use cases evolve going forward?

Modern workflows are primarily aimed at one thing—reducing operational complexities so that stakeholders can focus on initiatives that boost business and innovation. For IT teams, Artificial Intelligence and Machine Learning play key roles in bringing this goal to life. And even though AIOps is considered to be not yet in mature stages, there is no denying that IT teams that do not adopt AI processes will be left behind. By 2023, the market for AIOps tools is predicted to reach $11.02 B.