Operations | Monitoring | ITSM | DevOps | Cloud

Downtime during deployments can affect the performance of your work. Data can be lost, and trust in your application can be destroyed. Luckily, zero downtime deployments do not need to be complex or involve a big infrastructure. This tutorial will teach you to establish a stable CI/CD pipeline with CircleCI and Render to automatically test and deploy a basic React application.

Banks and financial institutions operate in one of the most complex, highly regulated and risk-averse industries.

Every company is now a software company. While the industry gets caught up in buzzwords and complexity, the core question remains: How can my organization reduce costs without creating long-term problems, and without giving up security or speed? The Cycle platform was built to answer this. It offers a lower total cost of ownership, simplifies operations at scale through automation and standards, and is secure by default without slowing down development.

Attestations, or as we like to call them, evidence, are a critical piece to proving software supply chain integrity and security. However, without the right tools and processes, reviewing and verifying attestations can be time-consuming. At JFrog, we’re deeply committed to empowering developers, DevOps, and Security teams to make these complex workstreams as simple as possible.

Yesterday, like many others in the tech community, I found myself pausing to fully grasp the implications of the Microsoft SharePoint hack. As one of the most widely adopted document management and collaboration platforms globally, SharePoint’s compromise inevitably sends ripples of concern through businesses everywhere. This news reminded me of a conversation I had just last week with an enterprise customer. We were discussing how one might approach cybersecurity from a hacker’s perspective.

To read more on the findings from this research, visit the Digital Sovereignty Revolution whitepaper by clicking here. For years, global hyperscalers have been the backbone of cloud infrastructure for UK businesses. Their scale, reach, and performance made them the default choice. But as geopolitical uncertainty grows and concerns around data governance deepen, the cracks in this model are beginning to show.

In 2008, Nuance hired me to join their Healthcare Speech Recognition team as a “Release Engineer.” DevOps wasn’t a thing yet — Patrick Debois and Andrew Shafer wouldn’t hold their first “DevOpsDays” until 2009. But I was lucky that “Release Engineer” at Nuance meant “jack of all trades” who wrote Makefiles, bash scripts, Perl, and Java to build and release code to a fleet of hundreds of on-premise Linux machines.

You're running Kafka on Confluent Cloud. You care about lag, throughput, retries, and replication. But where do you see those metrics? Confluent gives you metrics, sure, but not all in one place. Some live behind a metrics API, others behind Connect clusters or Schema Registries. You either wire them manually or give up. What if you could stream those metrics to a platform built for high-frequency, high-cardinality time series, and do it in minutes?