Software Alternatives, Accelerators & Startups

Pepperdata VS AWS Elastic Load Balancing

Compare Pepperdata VS AWS Elastic Load Balancing and see what are their differences

Pepperdata logo Pepperdata

Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.

AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
  • Pepperdata Landing page
    Landing page //
    2023-09-18
  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27

Pepperdata videos

Boost Spark AI workloads with Pepperdata

More videos:

  • Tutorial - How To Implement Cloud Observability Like A Pro | Pepperdata
  • Review - The ONLY Thing That Matters with Data – Ash Munshi, CEO @ Pepperdata | #InsightJam Panel Highlights

AWS Elastic Load Balancing videos

No AWS Elastic Load Balancing videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Pepperdata and AWS Elastic Load Balancing)
Monitoring Tools
100 100%
0% 0
Web Servers
0 0%
100% 100
Application Performance Monitoring
Web And Application Servers

User comments

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Social recommendations and mentions

Based on our record, AWS Elastic Load Balancing seems to be more popular. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Pepperdata mentions (0)

We have not tracked any mentions of Pepperdata yet. Tracking of Pepperdata recommendations started around Mar 2021.

AWS Elastic Load Balancing mentions (23)

  • Load Balancers in AWS
    In this way, you can create a load balancer and custom rules using AWS Elastic Load Balancer. You can refer the official user guide to learn more about load balancing in AWS. - Source: dev.to / 6 days ago
  • A Ride Through Optimising Legacy Spring Boot Services For High Throughput
    Use load balancers and distribute load accordingly to your redundant spring boot services. - Source: dev.to / 3 months ago
  • DevSecOps with AWS- Ephemeral Environments – Creating test Environments On-Demand - Part 1
    • Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. • AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatible with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic... - Source: dev.to / 9 months ago
  • AWS wastes money.
    Elite Dangerous. With proper setup, AWS works great. And I am sure there are hundreds or even thousands of games using them, but not all are willing to share that information. Source: about 1 year ago
  • Fortifying Your Three-Tier Application: Proactive Measures for Strengthening Your Application Security
    Terraform templates can be used to automate the deployment and configuration of the Presentation Tier components. This Terraform code snippet can be used to deploy an AWS Elastic Load Balancer (ELB):. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Pepperdata and AWS Elastic Load Balancing, you can also consider the following products

9 Spokes - 9 Spokes is a free data dashboard that connects your apps to identify powerful insights to deliver your business KPI's.

nginx - A high performance free open source web server powering busiest sites on the Internet.

CySight - CySight is an artificial intelligence-based cyber network intelligence platform that provides enterprises with the right information at the right time to proactively prevent and detect cyber threats.

Traefik - Load Balancer / Reverse Proxy

Epsagon - Track costs and fix your serverless application.

Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.