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Improve MTBF and MTTR for your Application Platforms by using MESH Observability

When businesses look at how best to understand the performance levels of their platforms, some of the best incident management metrics to look at are Mean Time Between Failures (MTBF) and Mean Time ToResolution(MTTR). These two measurements will give an excellent indication of the health and speed of the system, as well as the ability of the platform to take care of any anomalies that have been detected or to flag them up for others to take action to resolve them.

Hyperscaling open-source AI: How small teams can out-innovate big tech

Mattermost CEO Ian Tien speaks at Collision 2023 in Toronto about hyperscaling Hyperscale happens during technology transitions. Open-source innovation in generative AI – now available to every developer in the world – is outpacing tech giants on critical fronts. Join Mattermost co-founder and CEO Ian Tien to discover how startups can use open source to accelerate awareness, build community, reach target buyers, and sail past competitors.

Introducing the Mattermost OpenOps sandbox for GenAI

OpenOps is an open source, AI-enhanced chat collaboration sandbox to accelerate the responsible evaluation of generative AI models applied to real-world workflows. Use OpenOps to connect a local Mattermost instance with Microsoft Azure AI, OpenAI, and LLMs from Hugging Face and explore AI with full data control in a multi-user pilot for your team.

Mattermost Pro Tips: Optimizing channel headers in Mattermost

Channels are at the core of how teams collaborate in Mattermost. While team conversations take center stage, every channel is packed with additional features to help you stay in sync. Today, let’s take a closer look at channel headers, and how you can use them to help your team use Mattermost channels more effectively.

Data security at scale: How IT modernization impacts cybersecurity and data access for the U.S. Department of Defense

As more and more of the public sector enact large-scale digital transformation initiatives, government organizations must find new ways to manage massive amounts of data securely while maintaining compliance. With new mandates from the Biden administration to enhance cybersecurity best practices in both the private and public sectors, organizations like the Department of Defense (DoD) face new challenges to their data management and communication practices.

Build your own local AI with mattermost-ai-framework and GPT4All

Get started with your own self-hosted AI app connected to private multi-user chat! This video will show you how to get started with a framework to develop a Mattermost AI app powered by a local ChatGPT4All LLM. 🚀 Check out our AI developer website, join the "AI Exchange" channel, and explore the peer-to-peer forums where Mattermost's open source community is sharing AI news and innovation in real time!

How your development team can streamline release management with the right collaboration platform

More than 26,000 software vulnerabilities were discovered in 2022 – a new record – and critical vulnerabilities were up 59% over 2021, the previous record-high year. In other words, despite years of DevSecOps, software doesn’t seem to be getting more secure. Release management can help. A crucial goal of release management is vulnerability-free software.

Understanding AI security for your organization

While organizations are quickly adopting AI to automate tasks and improve operations, it’s important to consider the security risks associated with integrating AI into your company’s processes and software. AI not only brings an opportunity to increase efficiency but also introduces additional risks to your organization if not used responsibly — just like a recent example from Samsung has shown.