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Testimonials
We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.
They are very knowledgeable in their area of expertise.
I was impressed with the amount of professionalism, communication, and speed of delivery.
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
Working with MeteorOps was exactly the solution we looked for. We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.
They have been great at adjusting and improving as we have worked together.
Nguyen is a champ. He's fast and has great communication. Well done!
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
We were impressed with their commitment to the project.
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
AWS S3, or Simple Storage Service, is a scalable object storage service offered by Amazon Web Services. It provides a web interface to store and retrieve any amount of data, at any time, from anywhere on the web. With unparalleled durability and availability, S3 is commonly used for backup and recovery, content distribution, data lakes, big data analytics, and more. Its bucket architecture ensures data organization, access control, and integrates seamlessly with a suite of AWS services, making it a linchpin in the AWS cloud ecosystem.
Storage, in the context of computer science and information technology, refers to the digital infrastructure components used to retain, manage, and retrieve data. At its core, storage ensures that data, whether it's website content, database records, or application files, remains persistently available, even after a system shutdown or reboot. From a DevOps perspective, storage plays an indispensable role in ensuring that systems run efficiently and securely. It involves understanding and managing: Types of Storage: This includes primary storage (like RAM) and secondary storage (like HDDs, SSDs, and more recent innovations such as NVMe). Each has its distinct advantages and applications in terms of speed, durability, and capacity. Storage Architectures: Different architectures, like DAS (Direct-Attached Storage), NAS (Network-Attached Storage), and SAN (Storage Area Network), offer varied solutions to data accessibility and scalability concerns. Data Lifecycle Management: Effective storage strategies involve periodically backing up data, ensuring redundancy through RAID configurations or cloud replication, and implementing disaster recovery protocols. Performance Monitoring: As applications grow, so does the need for monitoring storage Input/Output operations, latency, and throughput, to guarantee optimal system performance.
- Facilitates efficient data management and retrieval, essential for handling large volumes of information.
- Enhances data accessibility, allowing users to access data from various locations and devices.
- Improves data backup and recovery processes, ensuring data integrity and minimizing loss risks.
- Scales easily with organizational growth, accommodating increasing data storage needs.
- Offers cost-effective solutions by optimizing space usage and reducing physical infrastructure costs.
- Supports data analytics and business intelligence by providing a centralized repository for data.
- Enhances security measures, protecting sensitive data through advanced encryption and access controls.
AWS S3 is a highly durable, scalable object storage service used to store and serve unstructured data such as backups, logs, datasets, and media. It is commonly selected as a foundational storage layer for cloud-native applications, analytics, and data platforms due to its durability, ecosystem integrations, and flexible access patterns.
- Virtually unlimited scale for objects and buckets, supporting growth without capacity planning or re-architecture.
- High durability through multi-device and multi-facility redundancy, making it suitable for critical backups and primary data lakes.
- Multiple storage classes (Standard, Intelligent-Tiering, Standard-IA, One Zone-IA, Glacier tiers) to optimize cost based on access frequency and retrieval needs.
- Lifecycle policies to automate transitions between storage classes and enforce retention or expiration for cost and compliance management.
- Fine-grained access control using IAM policies, bucket policies, ACLs, and S3 Access Points for multi-tenant and shared data scenarios.
- Encryption options including SSE-S3, SSE-KMS, and client-side encryption, with support for key management and audit requirements.
- Strong integration with AWS services such as Lambda, Athena, Glue, EMR, and CloudFront, enabling event-driven pipelines and data lake architectures.
- Replication features (SRR, CRR, Multi-Region Access Points) to improve resiliency, meet data residency needs, and support disaster recovery.
- Performance features like multipart uploads, byte-range reads, and S3 Transfer Acceleration for large objects and distributed clients.
- Built-in observability and governance via CloudTrail data events, S3 server access logs, Storage Lens, and Object Lock for immutability.
AWS S3 is a strong fit for data lakes, backup and archive, static asset storage, and ingestion landing zones. Trade-offs include eventual consistency considerations for some operations in specific scenarios, request-based pricing that can surprise high-transaction workloads, and latency that may be less predictable than block storage for small random I/O.
Common alternatives include Azure Blob Storage, Google Cloud Storage, and on-premises or self-managed S3-compatible storage such as MinIO.
Our experience with AWS S3 helped us build practical patterns, automation, and operational runbooks that make object storage reliable, secure, and easy to consume across application, data, and platform teams.
Some of the things we did include:
- Designed and implemented S3 bucket layouts, naming conventions, and lifecycle policies for backups, logs, datasets, and media with clear ownership and retention controls.
- Built secure access models using IAM roles, bucket policies, and KMS encryption, including least-privilege patterns for CI/CD and workload identities.
- Implemented cross-account and cross-region replication for DR, along with versioning and object lock where immutability was required.
- Integrated S3 with Kubernetes workloads for artifact, configuration, and dataset storage, including automated credential management and environment separation.
- Instrumented S3 usage and data access with CloudWatch metrics, audit trails, and alerting, improving incident response and cost visibility.
- Optimized storage cost and performance using storage classes, intelligent tiering, multipart uploads, and transfer acceleration where appropriate.
- Built data ingestion and processing pipelines that staged raw data in S3 and fed downstream analytics and ML workflows, including schema and partitioning conventions.
- Implemented secure content delivery patterns using signed URLs and CDN integration (e.g., Amazon CloudFront) for private media distribution.
- Migrated legacy file shares and on-prem object stores into S3 with validation, cutover planning, and rollback procedures to minimize downtime.
- Codified S3 infrastructure using infrastructure-as-code and enforced guardrails with policy-as-code to keep environments consistent across accounts.
This experience helped us accumulate significant knowledge across multiple S3 use-cases—from application storage to data platforms and DR—enabling us to deliver high-quality AWS S3 implementations that are secure, observable, and cost-aware.
Some of the things we can help you do with AWS S3 include:
- Assess your current S3 usage and deliver a review report covering architecture, security, reliability, and cost drivers.
- Create an adoption roadmap for standardizing buckets, naming/tagging, lifecycle policies, and data access patterns across teams.
- Implement S3 for application, analytics, backup, and media workloads with clear patterns for uploads, downloads, and large-object handling.
- Codify S3 provisioning and policy management using Infrastructure as Code and CI/CD to enable repeatable, auditable changes.
- Design security guardrails with least-privilege IAM, bucket policies, encryption (SSE-KMS), and public access controls aligned to compliance needs.
- Configure data protection and governance features such as versioning, Object Lock, retention policies, replication, and access logging.
- Optimize cost and performance with storage classes, lifecycle transitions, intelligent tiering, multipart uploads, and request pattern tuning.
- Set up observability and operational runbooks using metrics, logs, alerts, and incident response procedures for S3-dependent services.
- Enable teams through hands-on training and documentation on safe S3 usage, troubleshooting, and operational best practices.
