Kintaba launched Milestones, a new feature enabling companies to document significant moments during a major outage or security breach in real time.
By having an accurate and updated timeline of important events, reported directly by the various responders across the organization, companies can achieve broad awareness of what’s happening as the incident unfolds. With Kintaba’s Milestones, teams can have an existing model of what occurred and when, providing a nice foundation to build on top of versus having to start a postmortem from scratch. After the incident is resolved, the milestones timeline then becomes the source of truth for proper incident analysis.
“We built Kintaba to give companies of all sizes, across all industries, the tooling for best-in-class incident management like what you’d see at companies like Google, Amazon, and Facebook,” said Cole Potrocky, CTO and Co-Founder of Kintaba. “Today, the majority of companies don’t take the time to review an incident after it’s resolved, but it’s my belief that the postmortem review process is the glue between incident management and the assurance that major outages and breaches never repeat.”
Milestones works by giving incident responders the ability to record significant moments without having to fill out a bunch of data input forms found in most incident management tools. These milestones can be documented by anyone, whether it’s the technical team marking when a critical server crashed, to non-technical folks noting when a Tier 1 customer complained. These milestones are then pulled directly into Kintaba’s postmortem editor via the integrated timeline widget, where teams are incentivized to share their learnings, improve their response processes, and prevent avoidable failures from recurring.
The Latest
In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...
Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...
In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...
Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...
App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...
Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...
As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...
The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...
A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...
The power of AI, and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate ... Gartner identified the top data and analytics (D&A) trends for 2024 that are driving the emergence of a wide range of challenges, including organizational and human issues ...
