Compute Performance Monitoring

Improve data processing reliability, scale, and cost.

Eliminate unplanned outages

Transition from incident resolution to prediction and prevention. Many Pulse customers have completely eliminated all Sev 1 issues and unplanned outages for six months and running.

Scale in a single click

Automate workload analysis, expedite continuous innovation, perform rapid testing, and strengthen the CI/CD process to stand up new technologies rapidly.

Save Millions of Dollars Annually

Reduce costs by offloading unnecessary, over-provisioned software and align infrastructure costs with
business requirements.

Monitor and correlate data events across application, data, and infrastructure layers with a single-pane-of-glass UI.

Predict & Prevent Incidents

Predict and prevent incidents before they occur

  • Identify trouble spots before issues occur
  • Automate anomaly detection and workflows to ensure data pipeline performance, security, and reliability
  • Accelerate root cause analysis with event correlation based on historical comparisons, environment health, and resource contention
  • Automate preventive maintenance, performance tuning, and issue remediation

Accelerate data consumption

  • Identify bottlenecks, excess overhead, and execution plans to optimize code and queries
  • Apply customized guidance for deployment configurations and data distribution
  • Align deployment configurations to use cases, conserve resources, meet SLAs, maximize performance, and avoid overallocation
Consumption
Optimize Capacity

Optimize capacity, data processing, and
data engineering

  • Improve planning, chargebacks, and hybrid cloud management
  • Identify optimization targets across your entire environment
  • Increase productivity with deep visibility into data usage and hotspots

Pulse integrates with your most critical data systems

Kafka
Apache Spark
Pulsar
Google Cloud Storage
Cloudera

Ashwin Prakash

PubMatic Data Analytics Engineering Leader

PubMatic optimizes performance and cost at massive scale

"Acceldata provided the data observability tools and expertise to improve our data pipeline reliability. They helped us optimize HDFS performance, consolidate Kafka clusters, and reduce cost per ad impression, which is one of the most critical performance metrics.”

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Burzin Engineer - Founder of PhonePe

Burzin Engineer

Founder & Chief Reliability Officer, PhonePe

PhonePe scales open-source data platform by 13x, saves $5m+/year

"Acceldata supports our hyper-growth and helps us manage one of the world’s largest instant payment systems. PhonePe’s biggest-ever data infrastructure initiative would never have been possible without Acceldata."

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Wanlapa Linlawan, True Digital Analytics Platform Head

Wanlapa Linlawan

Head of Analytics Platform, True Digital

True Digital scales open-source platform and reduces costs by $2M+

"Acceldata’s tools fixed our analytics pipeline issues, improved visibility into our data systems, and recommended ways to scale and optimize our systems to meet future requirements. They helped True Digital transition to open-source technologies, allowing us to reduce licensing costs, while delivering mission-critical analytics across the enterprise.”

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Ready to start your data observability journey?

Request a demo and chat with one of our experts.