Mission-focused teams that operate in contingency environments – think military branches, the intelligence community, NASA – increasingly depend on collaboration software. They need to share information quickly, nimbly, and securely. And they want to carry that out in contextual channels that enable them to see the right content at the right time to make informed, accurate decisions.
Apache Kafka has come a long way since its initial development at LinkedIn in 2010 and its release as an open-source project the following year. Over the past decade, it has grown from a humble messaging bus used to power internal applications into the world's most popular streaming data platform. Its evolution is remarkable, and it has taken the industry by storm, quickly becoming a go-to solution for data streaming and processing.
With the dawn of microservices and serverless, event-driven architectures have become the way to go when building a new system in the cloud. This approach has allowed for greater scalability, as the system can easily adapt and respond to changes in traffic or demand without having to overhaul the entire architecture. Additionally the Event-driven approach means your application is mainly concerned with routing event data to the right services.
Earlier this month, we announced a rebrand to meshIQ and in this blog we will highlight the reasons behind the rebrand and what you can expect going forward.
Mattermost v7.8 Extended Support Release is generally available today. With this latest release, we’ve added improved filters and groups for Boards. More options for viewing your boards means more ways to break down the data to understand your team’s workload, report on progress, and quickly see what is in flight for a given sprint.
Around the world, thousands of DevSecOps teams are shipping software faster and more reliably by integrating Mattermost with their self-hosted GitLab deployments. When combined, these platforms connect developer toolchains with real-time communications, audio calling, screen sharing and collaborative workflows.
