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Testimonials
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.
They are very knowledgeable in their area of expertise.
We were impressed with their commitment to the project.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
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.
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.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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.
Nguyen is a champ. He's fast and has great communication. Well done!
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
They have been great at adjusting and improving as we have worked together.
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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?
Fluent Bit is a lightweight log processor and forwarder used to collect, parse, enrich, and route log data from servers, containers, and Kubernetes to downstream storage and analytics platforms. It is commonly used by DevOps and platform teams that need consistent log shipping across mixed environments while keeping agent overhead low. Fluent Bit helps standardize how logs are captured and transformed so they can be queried and monitored reliably in centralized systems.
It typically runs as a daemon on hosts or as a Kubernetes DaemonSet, applying parsers and filters before forwarding events to one or more destinations. It is often deployed alongside other observability components such as OpenTelemetry to support broader telemetry pipelines.
- Input plugins to collect logs from files, systemd, containers, and Kubernetes
- Parsing and filtering to structure records and add context (e.g., labels, metadata)
- Routing and buffering to reliably forward to multiple backends
- Configurable output plugins for common log storage and analytics systems
Logging is a software development practice in which application data about events, warnings and errors is being saved in an organized manner that allows for a better understanding of that system's operations and a quicker incidents response.
Some of the many reasons for using logging tools:
- Receive detailed information about what is happening in your code, making it easier to identify and fix bugs.
- Track changes to your code and understand how it is being used.
- Logging tools can provide information about the performance of your code, helping you identify bottlenecks and optimize performance.
- Logging tools can automatically report errors to you or a team, allowing for quick response to critical issues.
- Logging can help you meet regulatory requirements for auditing and security.
- Handle large amounts of data and easily integrate it into a centralized logging system, making it much more manageable to oversee logs across multiple servers and applications.
- Logging can be done at different levels, such as debug, info, warning, error, and critical, so you can filter out or focus on specific types of events.
Fluent Bit is a lightweight log processor and forwarder used to collect, parse, enrich, and route logs from hosts, containers, and Kubernetes to downstream storage and analytics systems. It is commonly used when teams need reliable log shipping with minimal overhead and flexible routing across environments.
- Low resource footprint makes it suitable for dense VM fleets, edge nodes, and busy Kubernetes clusters.
- Wide input support covers common sources such as file tailing, systemd/journald, container runtimes, syslog, and cloud-native log streams.
- Built-in parsing handles JSON, regex, and multiline patterns to convert raw text into structured events early in the pipeline.
- Filtering and record transformation reduce noise and normalize fields before data reaches downstream platforms.
- Kubernetes metadata enrichment (labels, namespaces, pod/container identity) improves searchability and correlation in log backends.
- Tag-based routing and match rules enable splitting different log classes to different destinations or retention tiers.
- Broad output ecosystem supports common backends including OpenSearch/Elasticsearch, Loki, Kafka, and cloud logging APIs.
- Buffering and backpressure controls help reduce log loss during downstream throttling, outages, or network instability.
- TLS and authentication options support secure log transport across networks and between clusters and centralized platforms.
- Consistent deployment patterns work well as a Kubernetes DaemonSet or as a system service on VMs, enabling standardization across teams.
Fluent Bit is best suited as an agent and edge processor for collection, normalization, and routing, while long-term retention and advanced querying typically live in the downstream backend. Configuration complexity can grow with many parsers and routes, so teams often standardize conventions and validate changes in CI to prevent drift.
Common alternatives include Fluentd, Vector, Logstash, and Filebeat. For official documentation and plugin details, see https://fluentbit.io/.
Our experience with Fluent Bit helped us build repeatable patterns, configuration standards, and deployment automation to deliver reliable log collection and routing across hosts, containers, and Kubernetes environments.
Some of the things we did include:
- Designed end-to-end log pipelines using Fluent Bit as the edge collector, with clear separation of inputs, parsers, filters, and outputs for maintainability.
- Implemented Kubernetes DaemonSet deployments (including RBAC, tolerations, and resource limits) and tuned buffering/backpressure to handle bursty workloads without losing logs.
- Built and version-controlled parsers for common formats (JSON, CRI, NGINX, syslog) and standardized enrichment (Kubernetes metadata, environment tags, service ownership) to improve searchability.
- Integrated Fluent Bit with OpenSearch and Elasticsearch outputs, including index naming strategies, retry policies, and mapping-safe field normalization.
- Routed and filtered logs to reduce noise and cost (drop rules, severity-based routing, namespace/app allowlists) while keeping audit and security-relevant events.
- Configured secure transport (TLS, mTLS where applicable) and secret management for output credentials, aligning with cluster security baselines.
- Implemented multi-destination forwarding for migration and DR scenarios (parallel outputs to old/new backends) with controlled cutover and validation.
- Connected Fluent Bit to AWS services where needed (e.g., CloudWatch Logs or S3 destinations) and tuned batching/throughput to meet service limits.
- Established CI/CD workflows to validate configuration changes (linting, dry-run checks, canary rollout) and reduce production incidents caused by parser or filter regressions.
- Created runbooks and trained teams on troubleshooting (buffer saturation, stuck outputs, regex/parser errors) and on-call practices for log pipeline reliability.
This delivery work helped us accumulate significant knowledge across multiple Fluent Bit use-cases, and it enables us to deliver high-quality Fluent Bit setups that are observable, secure, and easy to operate for clients.
Some of the things we can help you do with Fluent Bit include:
- Assess your current log collection pipeline and deliver a review report covering gaps in reliability, parsing quality, and routing consistency.
- Create an adoption roadmap for standardized log formats, tagging, and routing across hosts, containers, and Kubernetes namespaces.
- Design and implement Fluent Bit architectures (DaemonSet/sidecar) for Kubernetes and VM-based workloads, including high-availability and backpressure strategies.
- Build and tune parsers, filters, and routing rules to normalize logs, enrich with Kubernetes metadata, and ensure consistent downstream indexing.
- Implement security and compliance guardrails (least-privilege access, secrets handling, tenant separation, and data redaction) aligned to your policies.
- Optimize performance and cost by tuning buffers, batching, retry policies, and resource requests/limits to reduce log loss and cluster overhead.
- Automate configuration and deployment using GitOps and IaC patterns (e.g., Helm/Kustomize), with CI checks to prevent breaking parser changes.
- Troubleshoot production issues such as dropped logs, duplicate events, slow outputs, and noisy sources, with actionable remediation and runbooks.
- Enable your teams with hands-on training for day-2 operations, configuration standards, and safe rollout practices across environments.
