Want to hire Apache Mesos developer? Then you should know!
How and where is Apache Mesos used?
- Container Orchestration: Manage containers efficiently
- Big Data Processing: Handle large-scale data processing
- Microservices Deployment: Deploy and scale microservices
- AI/ML Workloads: Run machine learning tasks
- Hybrid Cloud Infrastructure: Utilize resources across clouds
- Fault-Tolerant Systems: Ensure system reliability
- CI/CD Pipelines: Automate software delivery
- Edge Computing: Support edge device applications
- Distributed Systems: Coordinate complex distributed setups
- Resource Scheduling: Optimize resource allocation
Compare Junior, Middle, Senior, and Expert/Team Lead Apache Mesos Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years | – Assist in code reviews – Implement basic features | $60,000 |
Middle | 2-5 years | – Develop complex features – Participate in architecture design | $80,000 |
Senior | 5-8 years | – Lead project implementations – Mentor junior developers | $100,000 |
Expert/Team Lead | 8+ years | – Define overall tech strategy – Manage team and deliverables | $120,000 |
Quick Facts about Apache Mesos.
- Apache Mesos was created in 2009 by Benjamin Hindman.
- Popular project types using Apache Mesos include big data frameworks.
- The entry threshold for using Apache Mesos is understanding distributed systems.
- Apache Mesos is often used in conjunction with Apache Spark.
- Fun Fact: Apache Mesos was initially developed as a research project at UC Berkeley!
TOP Apache Mesos Related Technologies
- Docker
- Kubernetes
- Apache Spark
- Elasticsearch
- Hadoop
- Apache Kafka
- TensorFlow
- Redis
- PostgreSQL
What are top Apache Mesos instruments and tools?
- Marathon: Orchestrates containers on Mesos
- Chronos: Distributed job scheduler
- Aurora: Service scheduler for Mesos
- Mesos-DNS: DNS-based service discovery
- Metronome: Job scheduler built on Mesos
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