Migrating from Rockset? Find out if Hydrolix is right for you >>

RSS

Partner with Hydrolix for New Business Opportunities

Learn four ways that harnessing log data at scale can help overcome business uncertainty—for both your business and your customers.

Abby Ross

Published:

Jun 27, 2024

4 minute read
,

We are in a year of uncertainty. From a macroeconomic standpoint, a recession may be looming. Both interest rates and inflation remain high. As a result, investors, boards, and the C-suite want companies to cut costs, grow revenue, optimize resources, and stay within budget. According to one study, 88% of digital leaders are concerned about economic disruption and 62% of IT leaders believe they will never have enough technical staff. 

The uncertainty goes beyond economics. From a security standpoint, companies are worried about cyber threats, especially threats related to ransomware, malware, and phishing. 40% of digital leaders fear an attack from foreign powers.

From a data standpoint, companies know they will have more data next year than this year, yet they are uncertain about how to store and use that data effectively without blowing up their budgets. 90% of organizations expect their cloud storage budget to increase in 2024. The more data they collect, the higher the costs. This conundrum forces companies to discard or sample data, which leads to an incomplete view of what’s happening inside their applications and networks. The result is a potentially flawed experience for their customers. If customers can’t find performance issues, they can’t preemptively fix them. 

From a technology standpoint, there’s uncertainty around artificial intelligence and machine learning. 49% of organizations say AI/ML workload adoption will create new challenges storing data across a wider range of locations. And many companies are still figuring out how to use AI to their advantage, which includes finding affordable ways to feed data into their AI models. One study showed that less than 40% of organizations have successfully deployed an AI project. 

4 Ways To Go Head-to-Head With Uncertainty

So how can companies go head-to-head with uncertainty—and potentially even benefit from it? Here are four steps:

1. Create New Lines of Revenue Fast

A McKinsey global survey reports that more CEOs are prioritizing the creation of new revenue streams, even amid economic uncertainty. The study also reports that business leaders are using partnerships to a great extent for building out their businesses. At Hydrolix, we have experienced the power of partnerships when it comes to building new revenue streams. Our partner, Akamai, uses our streaming data lake software as the engine for its managed observability service, TrafficPeak. In just nine months, TrafficPeak generated eight million dollars in revenue and is achieving 100% year over year growth. Its rapid success led us to launch our own Powered by Hydrolix Partner Program

    2. Find and Fix Security Threats Before They Impact Customers

    Observability services are designed to ingest, analyze, and deliver security and performance data insights in one consolidated view so you can see potential threats affecting your customers, including their origin as well as impacted assets. You can also query historical data for forensic analysis and mitigate vulnerabilities so they don’t happen again. For example, a large retail company experienced a massive DDoS attack during Black Friday season. Because the company was using TrafficPeak, they could find and stop the attack instantly before their customers were impacted.

      3. Make Data Storage Affordable at Scale

      According to one study, 53% of respondents are exceeding their cloud storage budget, in part because they are using more capacity and migrating more apps and data to the cloud than planned. Data storage doesn’t have to cost a fortune. Hydrolix is a streaming data lake for log-intensive use cases that dramatically reduces the cost of streaming and storing log data at scale. You can use Hydrolix to build new products and services for your customers that are 75% less expensive than their current solutions. Hydrolix’s high-density compression reduces your storage footprint by 20-50x and you can scale compute and storage separately, in accordance with your customers’ needs. 

        4. Keep All Data Hot Long-Term for ML Training and To Optimize Resources

        If you are building ML-enabled products for your customers, or your customers are building their own AI products using your platform, you need a platform like Hydrolix. To build ML models that are accurate and generalizable, data scientists benefit from having all data in hot storage. When companies can retrieve data quickly, they can also run experiments more efficiently, train models faster, and make better use of their technical resources. On the other hand, data restoration takes time, delays experiments, and potentially idles resources. 

          Query pools are another feature that your teams will appreciate. Query pools allow you to assign resources based on budget and performance targets, and to scale query compute down to zero when not needed. This means data science teams can manage costs more effectively. Query pools also provide query isolation, eliminating resource contention and time outs. Hydrolix offers query pools and provides Spark connectors for data science workloads.

          Finally, with Hydrolix, you can stream and query massive data sets as they arrive to build ML models for anomaly detection, recommender engines, and advanced platforms. Train your models in real-time and avoid expensive, long-running queries.

          Uncertainty doesn’t have to be a bad thing. Uncertain times can fuel innovative ideas, which ultimately can make your company more profitable. Hydrolix has a proven record of partnership success with Akamai and others. With the Powered by Hydrolix Partner Program, you can work with Hydrolix to stand up new solutions and gain an edge over your competition. 

          Next Steps

          Watch a video on the partner program for more information.

          Book a meeting with Hydrolix to discuss a potential partnership.

          Share this post…

          Ready to Start?

          Cut data retention costs by 75%

          Give Hydrolix a try or get in touch with us to learn more

          We are in a year of uncertainty. From a macroeconomic standpoint, a recession may be looming. Both interest rates and inflation remain high. As a result, investors, boards, and the C-suite want companies to cut costs, grow revenue, optimize resources, and stay within budget. According to one study, 88% of digital leaders are concerned about economic disruption and 62% of IT leaders believe they will never have enough technical staff. 

          The uncertainty goes beyond economics. From a security standpoint, companies are worried about cyber threats, especially threats related to ransomware, malware, and phishing. 40% of digital leaders fear an attack from foreign powers.

          From a data standpoint, companies know they will have more data next year than this year, yet they are uncertain about how to store and use that data effectively without blowing up their budgets. 90% of organizations expect their cloud storage budget to increase in 2024. The more data they collect, the higher the costs. This conundrum forces companies to discard or sample data, which leads to an incomplete view of what’s happening inside their applications and networks. The result is a potentially flawed experience for their customers. If customers can’t find performance issues, they can’t preemptively fix them. 

          From a technology standpoint, there’s uncertainty around artificial intelligence and machine learning. 49% of organizations say AI/ML workload adoption will create new challenges storing data across a wider range of locations. And many companies are still figuring out how to use AI to their advantage, which includes finding affordable ways to feed data into their AI models. One study showed that less than 40% of organizations have successfully deployed an AI project. 

          4 Ways To Go Head-to-Head With Uncertainty

          So how can companies go head-to-head with uncertainty—and potentially even benefit from it? Here are four steps:

          1. Create New Lines of Revenue Fast

          A McKinsey global survey reports that more CEOs are prioritizing the creation of new revenue streams, even amid economic uncertainty. The study also reports that business leaders are using partnerships to a great extent for building out their businesses. At Hydrolix, we have experienced the power of partnerships when it comes to building new revenue streams. Our partner, Akamai, uses our streaming data lake software as the engine for its managed observability service, TrafficPeak. In just nine months, TrafficPeak generated eight million dollars in revenue and is achieving 100% year over year growth. Its rapid success led us to launch our own Powered by Hydrolix Partner Program

            2. Find and Fix Security Threats Before They Impact Customers

            Observability services are designed to ingest, analyze, and deliver security and performance data insights in one consolidated view so you can see potential threats affecting your customers, including their origin as well as impacted assets. You can also query historical data for forensic analysis and mitigate vulnerabilities so they don’t happen again. For example, a large retail company experienced a massive DDoS attack during Black Friday season. Because the company was using TrafficPeak, they could find and stop the attack instantly before their customers were impacted.

              3. Make Data Storage Affordable at Scale

              According to one study, 53% of respondents are exceeding their cloud storage budget, in part because they are using more capacity and migrating more apps and data to the cloud than planned. Data storage doesn’t have to cost a fortune. Hydrolix is a streaming data lake for log-intensive use cases that dramatically reduces the cost of streaming and storing log data at scale. You can use Hydrolix to build new products and services for your customers that are 75% less expensive than their current solutions. Hydrolix’s high-density compression reduces your storage footprint by 20-50x and you can scale compute and storage separately, in accordance with your customers’ needs. 

                4. Keep All Data Hot Long-Term for ML Training and To Optimize Resources

                If you are building ML-enabled products for your customers, or your customers are building their own AI products using your platform, you need a platform like Hydrolix. To build ML models that are accurate and generalizable, data scientists benefit from having all data in hot storage. When companies can retrieve data quickly, they can also run experiments more efficiently, train models faster, and make better use of their technical resources. On the other hand, data restoration takes time, delays experiments, and potentially idles resources. 

                  Query pools are another feature that your teams will appreciate. Query pools allow you to assign resources based on budget and performance targets, and to scale query compute down to zero when not needed. This means data science teams can manage costs more effectively. Query pools also provide query isolation, eliminating resource contention and time outs. Hydrolix offers query pools and provides Spark connectors for data science workloads.

                  Finally, with Hydrolix, you can stream and query massive data sets as they arrive to build ML models for anomaly detection, recommender engines, and advanced platforms. Train your models in real-time and avoid expensive, long-running queries.

                  Uncertainty doesn’t have to be a bad thing. Uncertain times can fuel innovative ideas, which ultimately can make your company more profitable. Hydrolix has a proven record of partnership success with Akamai and others. With the Powered by Hydrolix Partner Program, you can work with Hydrolix to stand up new solutions and gain an edge over your competition. 

                  Next Steps

                  Watch a video on the partner program for more information.

                  Book a meeting with Hydrolix to discuss a potential partnership.