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CODE_OF_CONDUCT.md

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<!--
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- Licensed to the Apache Software Foundation (ASF) under one
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- or more contributor license agreements. See the NOTICE file
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- distributed with this work for additional information
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- regarding copyright ownership. The ASF licenses this file
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- to you under the Apache License, Version 2.0 (the
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- "License"); you may not use this file except in compliance
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- with the License. You may obtain a copy of the License at
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-
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- http://www.apache.org/licenses/LICENSE-2.0
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-
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- Unless required by applicable law or agreed to in writing,
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- software distributed under the License is distributed on an
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- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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- KIND, either express or implied. See the License for the
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- specific language governing permissions and limitations
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- under the License.
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-->
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# Contributor Covenant Code of Conduct
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[homepage]: https://www.contributor-covenant.org
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For answers to common questions about this code of conduct, see
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https://www.contributor-covenant.org/faq
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https://www.contributor-covenant.org/faq

INSTALLATION.md

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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# ResilientDB Profiling and Monitoring Setup
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This repository provides a comprehensive guide to set up profiling and monitoring for ResilientDB using Prometheus, Grafana, and related tools. The setup includes CPU and memory metrics visualization, GraphQL integration, and ResLens configuration.

README.md

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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# [ResLens](https://blog.resilientdb.com/2024/12/07/MemLens.html)
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ResLens is a comprehensive CPU and memory profiler for ResilientDB which aims to provide granular performance metrics by integrating profiling tools like eBPF, node exporter, process exporter, LevelDB internal statistics and custom prometheus hooks. We aim to provide a platform which provides database specific metrics that provides detailed information on what happens under the hood and help optimize system performance. This is an ambitious idea which we are improving on constantly but are proud to share a packaged version of ResLens currently.

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