LogDNA announced early access for Variable Retention.
This new capability allows companies to better control spend by storing different types or sources of logs for different lengths of time.
Modern infrastructure and applications generate massive amounts of data—sometimes petabytes worth of log data in a single day. Many teams need access to this data to gain critical insights into their services, but logging can get expensive, fast, and companies are forced to make difficult trade-offs that reduce observability and heighten risk. As a result, teams may not have the granular log data needed to form a complete picture during an incident or troubleshooting workflow. Variable Retention gives users the flexibility to save logs within the platform only for the amount of time that they're relevant, ensuring teams get access to the data they need, when they need it, while keeping costs in check.
“Different organizational and business functions need varying amounts and periods of data, but cost concerns drive sacrifices on what to keep and force dollar-driven decisions that diminish the value of all that data,” said Tucker Callaway, CEO, LogDNA. “Variable Retention gives LogDNA users control, removing friction that impacts how autonomous teams use log and other machine data to be more efficient and secure. Now, teams don’t have to choose between a reasonable logging bill and comprehensive observability data.”
Within the LogDNA user interface, customers select a subset of logs to store for different retention periods based on their needs—for instance, 30 days for security logs but only seven days for quality assurance and testing logs. When these rules are in place, users can monitor how their logging volume is distributed across different tiers in their usage dashboard to ensure the appropriate logs are being put in their respective retention tiers.
This new capability is one of many built by LogDNA to give users more control over how teams can route and store their log data. Earlier this year, the company released Spike Protection to give organizations more control over fluctuations of log data. And the recently announced LogDNA Streaming enables enterprises to ingest all of their log data to a single platform, and then route it for any enterprise use case.
Available retention tiers are three days, seven days, 14 days, and 30 days. LogDNA customers on an enterprise plan can sign up for the private beta program.
The Latest
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 ...
IT and the business are disconnected. Ask the business what IT does and you might hear "they implement infrastructure, write software, and migrate things to cloud," and for some that might be the extent of their knowledge of IT. Similarly, IT might know that the business "markets and sells and develops product," but they may not know what those functions entail beyond the unit they serve the most ...
Cloud spending continues to soar. Globally, cloud users spent a mind-boggling $563.6 billion last year on public cloud services, and there's no sign of a slowdown ... CloudZero's State of Cloud Cost Report 2024 found that organizations are still struggling to gain control over their cloud costs and that a lack of visibility is having a significant impact. Among the key findings of the report ...
