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Startup Accelerator Program will now enable early-stage and budding startups to grow and scale their businesses with ease with the power of observability.
SUNNYVALE, Calif. & BANGALORE, India - AussieJournal -- SnappyFlow is thrilled to announce the launch of its new startup accelerator program, SnappyFlow for Startups.
This program offers a wide range of benefits that can help startups kickstart their observability journey. Selected startups can get $2000 in SnappyFlow credits to monitor their application performance, with $500 guaranteed for the next six months. Additionally, startups can also request an additional $1500 at the end of the program.
SnappyFlow for Startups also provides free advisory sessions with performance engineering experts. Our program experts have decades of expertise in building and scaling applications for startups and enterprises. Startups can also get free advisory and deep dive sessions with SnappyFlow performance engineering experts on running high-performance, giga-scale applications.
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"We are excited to launch SnappyFlow for Startups, which will enable startups to monitor their applications' performance with ease," said Sreeni Potluri, Co-Founder, SnappyFlow.
"We believe that our platform's advanced features and benefits will help startups grow and scale their businesses."
SnappyFlow's advanced compression algorithms help businesses save more than 50% on log storage costs when compared to traditional observability tools and platforms. Moreover, SnappyFlow provides full flexibility to choose from SnappyFlow Cloud to get started instantly or deploy SnappyFlow in AWS, Azure, Google Cloud environment.
"SnappyFlow packs all observability tools in a unified package – Logs, Metrics, Traces, Alerting, and Dashboards – presented in a simplified workflow," said Pramod Murthy, Co-Founder, SnappyFlow. "It is easy to learn and quick to start. With SnappyFlow, monitor all your stacks and apps with an ever-expanding list of out-of-the-box integrations. Ensure you give predictable performance to your customers, and they will reward you."
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For more information on SnappyFlow for Startups and to apply for the program, visit www.snappyflow.io/startup
This program offers a wide range of benefits that can help startups kickstart their observability journey. Selected startups can get $2000 in SnappyFlow credits to monitor their application performance, with $500 guaranteed for the next six months. Additionally, startups can also request an additional $1500 at the end of the program.
SnappyFlow for Startups also provides free advisory sessions with performance engineering experts. Our program experts have decades of expertise in building and scaling applications for startups and enterprises. Startups can also get free advisory and deep dive sessions with SnappyFlow performance engineering experts on running high-performance, giga-scale applications.
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"We are excited to launch SnappyFlow for Startups, which will enable startups to monitor their applications' performance with ease," said Sreeni Potluri, Co-Founder, SnappyFlow.
"We believe that our platform's advanced features and benefits will help startups grow and scale their businesses."
SnappyFlow's advanced compression algorithms help businesses save more than 50% on log storage costs when compared to traditional observability tools and platforms. Moreover, SnappyFlow provides full flexibility to choose from SnappyFlow Cloud to get started instantly or deploy SnappyFlow in AWS, Azure, Google Cloud environment.
"SnappyFlow packs all observability tools in a unified package – Logs, Metrics, Traces, Alerting, and Dashboards – presented in a simplified workflow," said Pramod Murthy, Co-Founder, SnappyFlow. "It is easy to learn and quick to start. With SnappyFlow, monitor all your stacks and apps with an ever-expanding list of out-of-the-box integrations. Ensure you give predictable performance to your customers, and they will reward you."
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For more information on SnappyFlow for Startups and to apply for the program, visit www.snappyflow.io/startup
Source: MapleLabs Inc
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