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What you should know about Datadog Flex Logs

Late last year, Datadog announced something called Flex Logs, a “more affordable” warm storage tier for log data. Designed for high-volume datasets that are infrequently queried and don't require real-time analysis, the Flex Tier offers Datadog Log Management customers a third option for data storage.

How DPM monitoring helps you manage your metrics volume

At Sumo Logic, we’re committed to helping you scale without breaking your budget. As you may have heard, we recently launched Flex Licensing, a first-of-its-kind economic model that offers free, unlimited log data ingest so different teams can capture and analyze critical data across their enterprise in one place. We’re also committed to tackling related challenges raised by other data sources — like metrics.

Why AI solutions aren't moving to market as quickly as imagined

With all the buzz around ChatGPT and the rapid mainstreaming of generative AI, 2024 was predicted to be the year of AI. While the market certainly talks a lot about AI this year, we’ve yet to see much of it in production environments. Events are a great chance for tech companies to showcase or announce new innovations to the market.

ROI for GenAI: Splunk to Sumo Logic Transformer

Tool consolidation outcomes have driven some customers to drop Splunk and consolidate their log analytics use cases on Sumo Logic. Long-term Splunk customers with many dashboards, saved searches and monitors understandably want to retain a consistent experience for end users. As a result, a replacement strategy requires migration.

From "rebooting" to reliable and secure applications: Optimizing the customer experience

Not so long ago in my career, I remember when it was relatively acceptable for infrastructure or development teams to solve a problem by rebooting a server or just “turning things off and on again.” It didn’t matter what caused the problem or how long the reboot would fix things, provided they were fixed for now. Security teams were always held to a different standard.

A look at Azure monitoring and troubleshooting

Even now, plenty of businesses are still making the shift to the cloud. Chief decision-makers are plagued by fears about availability, potential downtime and security. Organizations adopting Microsoft Azure need to be able to confidently make the transition without interruptions, which requires building out a strategy for monitoring your Azure environment.

What are the differences between artificial intelligence, machine learning, deep learning and generative AI?

While deep learning, machine learning and artificial intelligence (AI) may seem to be used synonymously, there are clear differences. One school of thought is that artificial intelligence is a larger umbrella category under which machine learning falls and deep learning falls under machine learning. Therefore, while everything that is categorized as deep learning or machine learning is part of the artificial intelligence field, not everything that is machine learning will be deep learning.

Crossing the machine learning pilot to product chasm through MLOps

Numerous companies keep launching AI/ML features, specifically “ChatGPT for XYZ” type productization. Given the buzz around Large Language Models (LLMs), consumers and executives alike are growing to assume that building AI/ML-based products and features is easy. LLMs can appear to be magical as users experiment with them.

Splunk second thoughts? It's time for the cloud-native alternative

Back in September when Cisco announced they were acquiring Splunk, we explained how the market was consolidating with Sumo Logic ahead of the pack, challenging traditional vendors with our cloud-native platform. Now that the deal is complete and Splunk is officially a Cisco company, we’re hearing from more Splunk customers who are considering their options.