Fresh off raising $7.2 million in funding, SRE.ai CEO Raj Kadiyala said as the volume of code developed using low-code/no-code and, more recently, artificial intelligence (AI) tools increases, there needs to be a more automated approach to deploying that software based on best DevOps processes that also enables software development teams to monitor and observe those applications. At the core of that effort is a platform that will leverage artificial intelligence (AI) technologies to automate the deployment
The Org Intelligence module added to the Copado AI Platform leverages metadata exposed on the Salesforce platform to extrapolate relationships, promising an 80% reduction in discovery time.
Sustainable optimization starts when leaders reframe the conversation: From seeing costs as an external burden imposed by finance to recognizing them as an integral signal of engineering health.
DevOps teams in bursty verticals like media, fintech, gaming, and retail face severe challenges during sudden traffic spikes, leading to overwhelmed logging pipelines and delayed recovery processes.
Finops facilitates quicker, data-driven decisions on cloud investments, which increases business agility in addition to cost savings. It guarantees that teams match spending with priorities by fostering an environment of accountability and cooperation across engineering, finance, and operations.
Agile frameworks like Scrum or SAFe help teams rapidly validate ideas with end users. Meanwhile, DevOps practices ensure that validated ideas move safely and quickly through build, test and deployment pipelines.
"In an era of geopolitical volatility and increasing regulatory complexity, mobile innovation in Europe demands sovereignty, speed, and security," says Barnabás Birmacher, CEO and Co-founder of Bitrise. "By launching the first EU-hosted DevOps Platform, Bitrise is giving customers total control over their data, ensuring compliance and empowering them to scale development faster and more securely."
Chronosphere Logs 2.0 empowers DevOps teams with better log data management, offering detailed analytics and budget control for telemetry data, addressing complexity in cloud-native environments.