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Linux Foundation’s LF Edge and Open Grid Alliance Collaborate on Accelerating Innovation for Reimagining the Edge

By Announcement

Initial focus on collaboration with LF Edge for functional specification of the Grid Nodes 

BARCELONA, Mobile World Congress 2023 – February 27, 2023 The Linux Foundation, the nonprofit organization enabling mass innovation through open source, and the Open Grid Alliance (OGA) , an  organization focused on evolving the Internet into a worldwide platform capable of running global services on shared infrastructure, today announce the signing of a Memorandum of Understanding (MoU) for formal collaboration. Collaboration includes multiple foundations across the Linux Foundation with LF Edge being the primary.

Catalyzed by the emergence of edge infrastructure, 5G networks and billions of IoT devices, the grid is the next step in the evolution of the Internet. Globally distributed, the grid weaves together a public and private fabric of compute, data and intelligence to enable contextually aware, immersive applications at the edge, on demand.

“Co-creation across multiple sectors contributing to ´dirt-to-cloud´ stack of the Open Grid is the core principle of the OGA. This demands deep collaboration with the industry bodies influencing various parts of this stack. We are excited to partner with the Linux Foundation as we start to lay the foundation for this stack”, said Kaniz Mahdi, Chairperson of the OGA, and SVP Technology Architecture & Innovation, Deutsche Telekom.

Edge computing places applications and services close to the point of use, as the grid marries software-defined flexibility with edge infrastructure. LF Edge projects provide the required automation for edge infrastructure to be used to build autonomous grid infrastructure. These projects create new use cases and proof points that cover aspects of grid computing. The collaboration between LF Edge and OGA  is  aimed at creating synergies that will accelerate a full-scale, global and operational deployment of the Open Grid.   

“Aligning LF Edge with Open Grid Alliance is the next step in enabling the internet to distribute data when and where it’s needed,” said Arpit Joshipura, General Manager, Networking, Edge and IoT, the Linux Foundation. “Integrating LF Edge architecture and use cases into open grid infrastructure provides a vendor-neutral approach to re-architect the Internet with the grid topologies needed to scale globally.

The agreement enables both organizations to formally support collaboration and work together in creating the open software defined and architected by OGA work groups. LF Edge projects and initiatives will work closely with the OGA workstreams to mutually develop the use cases and underlying technology of the Open Grid. 

About Open Grid Alliance

Open Grid Alliance ( is a member-supported 501(c)(6) organization that produces collaborative, vendor-neutral strategies to re-architect the Internet with grid topologies needed to scale globally. Founded in 2020 by over 30 global technology companies, the Open Grid Alliance welcomes additional participants, contributors, and supporters.

About the Linux Foundation

The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and commercial adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at

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The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: Linux is a registered trademark of Linus Torvalds.





Akraino Displays Robotics Blueprint at ONE Summit 2022

By Akraino, Blog, Event

By Jeff Brower, CEO at Signalogic & LF Edge community member

At the ONE Summit (ONES) in Seattle in November, the Linux Foundation Edge community (LF Edge) presented state-of-the-art edge computing in areas of Telco, Oil & Gas, Manufacturing, and Retail. The Akraino blueprint “Robot Architecture Based on SSES” was selected by the LF Edge conference showcase committee to exhibit in the Manufacturing category. This blueprint is architected by Fujitsu and focuses on two key areas in robotics:

  • manipulating elastic and non-uniform objects with variable shapes and surfaces, under variable environmental conditions
  • safe and reliable robot-human interaction


Fujitsu and Signalogic personnel manned the Manufacturing kiosk and we’re happy to report the exhibit was well-attended and effective. While we didn’t see a pre-pandemic level of attendance (maybe half compared to 2019), that was made up for by enthusiasm and energy of attendees and exhibitors. It was a great feeling driving into Seattle on a cold but sunny day, negotiating the city’s notoriously gnarly freeway design and traffic, arriving at the Sheraton, and then focusing 100% on presenting LF Edge, Akraino, and robotics to technical
and business developers ! We can confidently report that in-person conferences are back and thriving.

As it turns out, the conference format was effective for promoting robotics as well as Akraino and LF Edge. As one example, our blueprint’s project team leader, Fukano Haruhisa-san from Fujitsu’s development labs, gave a technical presentation in the early afternoon of Day 1.
Then later in the day, while dinner was served near the exhibit area, attendees who had attended Fukano-san’s presentation zero’d in on our kiosk. They had been busy juggling their conference schedule, but now they had questions and were ready to dig deeper. That was also our chance to promote LF Edge and Akraino. Naturally we took full advantage 😀

Customer discussions at the kiosk were both wide ranging and in-depth. Of particular concern is how to merge requirements for compute intensive onboard processing (i.e. on the robot) with cloud processing. There is a mix of needs, including mapping, handling unusual and as-yet-unknown objects, failure prediction, real-time speech recognition, background noise removal, natural language processing, and more.  Some needs can be met in the cloud, and some demand “never down, never out” capability. The former can be met with containerization, Kubernetes, and other CICD and automation tools, while the latter requires intensive onboard computation. Of course, any onboard computation faces severe limitations in size (form-factor), weight, and available power. It’s a fascinating problem in edge computing and engineering tradeoffs.

Given the effectiveness of the ONE Summit format, I strongly urge the LF Edge board to organize and promote more combined technical + exhibit events. The exhibit component does two important things: (i) encourages effort and progress among blueprint participants, and (ii) provides feedback to shape and guide blueprints moving forward. A little pressure to meet conference schedule deadlines and get demos working is a good thing, and the payoff for LF Edge is increased industry exposure for its member projects.

2022 LF Edge Annual Report – Update from the General Manager

By Blog, LF Edge

Launched four years ago, LF Edge has become the center of gravity for some of the most impactful open source edge computing projects in the world, building an open, modular framework for edge computing. Check out the section below on the 2022 LF Edge Annual Report update from Arpit Joshipura, General Manager, Networking, Edge & IoT at the Linux Foundation.

LF Edge community members meet and collaborate in-person at ONE Summit 2022

Entering its fourth year as an umbrella project, LF Edge continues to grow and thrive, with more and more deployments and use cases across the globe and across verticals, from Telco, to Smart Home, to Industrial IoT, to AI, Robotics, and more. Check out the section below on the 2022 LF Edge Annual Report update from the LF Edge Board, written by Tina Tsou, Enterprise Architect, Arm and LF Edge Governing Board Chair.

As we enter into 2023, I wanted to take a moment to reflect on the great progress made as a community last year. Although we’re learning to live with a global pandemic, an uncertain economy, and more colorful geopolitical issues, all of these challenges didn’t slow down the growth of open source communities; with more innovation, and integration across verticals as the industry marches towards digital innovation.

One of the things that makes me most proud of LF Edge project is the fact that the community did not miss a beat in our work-from-home virtual world. In 2022, the number of LF Edge contributors increased by 138%, with an average of 1,120+ contributors per year. With 65+ members and 25%+ year-over-year membership growth, more and more organizations have joined LF Edge’s mission of unifying and providing edge computing projects, IoT frameworks and solutions/blueprints to serve the needs of Telecom Edge, Cloud Edge, IoT Edge, Industrial IoT Edge, Enterprise Edge markets, and more.

I wanted to also take a moment to look ahead to 2023, as well as recognize how the edge industry has shifted over the past year. 2022 was the tipping point for 5G, Edge & IoT deployments, all possible with Open Solutions, Open Collaboration and Open Communities. This year, the global collaboration in open source projects (including LF Edge) is better than ever. Our community has worked collaboratively across geopolitical and macroeconomic headwinds, which we intend to continue in 2023.

I’d like to close by thanking our entire community and ecosystem of members, developers, partners, and users. I hope to see more in-person or virtual collaboration happen in LF Edge this year. Here’s to a fantastic 2023 as we build the last cloud together — the edge!

Read the full 2022 LF Edge Annual Report, with community highlights from all LF Edge projects, TSC Chair, General Manager, Outreach Chair, and more.

2022 LF Edge Annual Report – Update from the LF Edge Board

By Blog, LF Edge

Entering its fourth year as an umbrella project, LF Edge continues to grow and thrive, with more and more deployments and use cases across the globe and across verticals, from Telco, to Smart Home, to Industrial IoT, to AI, Robotics, and more. Check out the section below on the 2022 LF Edge Annual Report update from the LF Edge Board, written by Tina Tsou, Director Infrastructure Ecosystem at Arm and LF Edge Governing Board Chair.

In-person LF Edge Board meeting at ONE Summit 2022

A warm welcome to 2022’s newest LF Edge members: Y-Semi, Emerson, Qianyi, and XUAT — thank you for joining us this year. We hope to develop strong bonds with all our new members as we continue working together.

I’d also like to congratulate all of our individual project communities (Alvarium, Akraino, EdgeX Foundry, eKuiper, EVE, Fledge, HomeEdge, SDO) for the progress made this year. We’ve seen more and more realworld deployments across a diverse set of use cases (including blueprints to address Robotics, Smart Data, OT, Metaverse, 5G, and Education & Healthcare, among others) and improvements to functionality, security & data privacy, connectivity, and more.

One of the community’s biggest accomplishments in 2022 is the LF Edge Industry Solution Showcase, which debuted onsite ONE Summit in November. The event returned to an in-person format and we had the opportunity to showcase eight project demonstrations within the LF Edge booth kiosks, focused on specific verticals: Oil & Gas, Manufacturing, Telc, and Retail. This is the first step in highlighting LF Edge’s mainstream deployments across a broad spectrum of organizations and communities. 2023 will be even better, with more details on the myriad of ways LF Edge can enhance edge computing. None of this could be possible without member companies, developers, users and the LF Edge staff.

  • Member companies have been generously providing resources to run a shared community lab, CI/CD, and community activities –including hackathons, developer events and project mini summits.Big thanks to all who helped fund this important work across the board and helped make our projects stronger.
  • We also give thanks to developers working hard within and across LF Edge. We would not exist without our dedicated and passionate developers, who are the glue that binds our project communities together.
  • LF Edge Sub-committees. The collective efforts of the LF Edge Strategy Planning Committee (SPC), Technical Advisory Committee (TAC), and Outreach Committee yielded needed updates to LF Edge Project Lifecycle Description and Criteria, the creation of the Industry Solution Showcase; and the growing amplification of use cases and deployments.

With the rise of IoT, 5G/6G, AI, and Metaverse, Edge is at the precipice of leading technology innovations. The practical application of Edge Cloud in more industries and scenarios will become mainstream; the work of this community is paramount in setting the stage for scalable development of open source Edge technology and standards. We expect many opportunities (and some challenges) in 2023 and I am confident in the power of this strong community to continue playing a key role in Edge innovation.

Read the full 2022 LF Edge Annual Report, with community highlights from all LF Edge projects, TSC Chair, General Manager, Outreach Chair, and more.

LF Edge in 2022 – A Sneak-Peek at Cumulative Innovation in the Open Edge

By Blog, LF Edge

Edge Computing — as defined by the 2021 State of the Edge Report — is the delivery of computing capabilities to the logical extremes of a network in order to improve the performance, security, operating cost and reliability of applications and services. As a natural extension of cloud computing — and estimated by analysts to be at least four times the size of cloud computing — the edge cloud construct is increasingly viewed as a key enabler for the “Fourth Industrial Revolution” in which the widespread deployment of IoT, the global sharing economy, and the increase of zero marginal cost manufacturing deliver unprecedented communication-driven opportunities with massive economies of scale.

Now in its third year as an umbrella organization, LF Edge has become the center of gravity for some of the most impactful open source edge computing projects in the world, building an open, modular framework for edge computing. LF Edge’s common governance and collaborative resources unify open the edge market, with massive global industry support accelerating the adoption and deployment of edge applications across sectors verticals, including  Telecommunications, Cloud, IoT, Industrial IoT, Retail, AI/ML, Factory Floor, Smart Home, and more. 

As data gravity continues to shift away from the centralized cloud to a distribution from edge to cloud, organizations of all types benefit from edge computing, yielding lower latency, reduced bandwidth costs, and maximized security and privacy; it means the work of LF Edge is more crucial than ever. Key impacts of LF Edge in 2022 are evidenced by both the project’s tenet publications, and a robust set of new use cases in deployment. Highlights include:

  • At the Olympic Games Beijing 2022, Tencent collaborated with China Unicom and created a multi-access edge computing (MEC) platform to track and analyze real-time traffic data, based on Akraino’s Connected Vehicle Blueprint.
  • Project Alvarium is providing trustworthy sustainability reporting and validated carbon emission measurements for organizations that are accurately tracking their carbon footprint.
  • UC Davis and Opus One uses Fledge to create safer wine-making conditions via multi-node wireless sensor network to produce world class wine.
  • Open Horizon components were leveraged in the Mayflower Autonomous Ship, which successfully sailed across the Atlantic ocean unmanned. 
  • Retailers use EdgeX Foundry to combine POS, RFID, Weight Scale and Computer Vision data to alert associates in real time, improving self-checkout efficiency and saving costs.  
  • A hiker used Fledge to collect temperature, humidity and air quality data while hiking on the beautiful Laugavegur trail in Iceland.

The complete annual report will include a culmination and summary of the many works done by the broader LF Edge community. It’ll be available in January 2023. Stay tuned! 

Home Edge Eucalyptus (vE) Release Enhances Home Data Privacy and Adds Android Support

By Blog, Home Edge, Project Release

Home Edge—an open source edge computing framework for home devices—is now available in its Eucalyptus (vE) release. Home Edge, an LF Edge project, is a robust, reliable and intelligent home edge computing open source framework and ecosystem running on a variety of devices in the home. To accelerate the deployment of the edge computing services ecosystem successfully, the Home Edge Project provides users with an interoperable, flexible, and scalable edge computing services platform with a set of APIs that can also run with libraries and runtimes.

“I am excited to share the availability of vE version of Home Edge on Github,” said Suresh L C, Home Edge Technical Steering Committee (TSC) Co-Chair. “The new Home Edge release adds Android execution support with a secure, robust and end-to-end framework for intelligent service offloading in smart home scenarios, which in turn provides data privacy with low latency response.”

The vE release adds a number of significant new features, among them are

  • Open Source Security Foundation (OpenSSF) Badge
    • Home Edge has achieved the OpenSSF best practices Gold badge and the OpenSSF scorecard has also been integrated. Go-Project is made compliant by incorporating necessary documentation/quality fixes.
  • Data synchronization to Cloud endpoints – MQTT
    • Independent MQTT based cloud synchronization mechanism as enhancement to vD
    • API’s to send and receive data from and to between Service application and Cloud via Home Edge
    • MQTT broker would be configured at the cloud (Cloud agnostic)
    • Home Edge acts as MQTT client to exchange data 
    • TLS secure mode for all the data exchange
  • Platform enhancement
    • The support for the execution of Home Edge on Android has been added to Home Edge Android
    • The base code currently supports device/service discovery and service offload to Linux device
    • Service offload to Android from Linux is not supported in this release
  • Dependent bot integration
    • Bot to check on the updates on dependent libraries has been integrated
    • The bot has been configured to run once every month in the first week
  • Code enhancements
    • Fixed TxT Record parsing as per mDNS protocol
    • Refactored service list assignment logic TxT record
    • Modified get score API from GET to POST in line with API design rules
    • API to add/delete events from database based on event ID added for DataStorage
    • Code coverage increased by adding more test cases
    • Modified response for Ping request to Pong
  • Auto numerical tagging of code when significant changes are incorporated

Learn more about these and other features of Home Edge vE release in the release notes.

What’s next

For the next steps, the community will work on strengthening the Android version of Home Edge so that the features are in line with the Go version.

If you are using or evaluating Home Edge, please let the project TSC know and join the TSC meetings. Your feedback on the project is greatly appreciated!

eKuiper Issues 1.7.0 Release, Adding Lookup Table, Analytic Functions and More

By Blog, eKuiper, Project Release

eKuiper—a lightweight IoT data analytics and streaming software—is now available in its 1.7.0 release. eKuiper, an LF Edge project, migrates real-time cloud streaming analytics frameworks such as Apache Spark, Apache Storm and Apache Flink to the edge. eKuiper references these cloud streaming frameworks, incorporates any special requirements of edge analytics and introduces rule engine, which is based on Source, SQL (business logic) and Sink; rule engine is used for developing streaming applications at the edge.

eKuiper 1.7.0 continues to improve the expressiveness of the rules by providing the lookup table, updatable sink, and more SQL syntax and functions. The 1.7.0 release adds a number of significant new features, among them are

  • Stream batch combined computation
    • Not all data changes frequently, even in real-time computation. In some cases, you may need to supplement stream data with externally stored static data. For example, user metadata may be stored in a relational database, and the stream data only has data that changes in real time, requiring a connection between the stream data and the batch data in the database to enrich the data. In the new version, eKuiper adds the new Lookup Table concept for binding external static data, which can be joined with stream data in the rules to realize the operation of stream-batch combination. Additionally, with the support of updatable sink, eKuiper can process CDC data and update the batch storage.
  • Enhanced analysis capabilities
    • Analytic functions refer to functions that perform state-related analysis by saving state, allowing users to complete some of the common stateful calculations without complex time windows or custom functions. In the new version, we have added the Partition By syntax to the analytic functions, allowing users to perform partitioned stateful calculations based on the dimensions defined by Partition By clause. We also added a new analysis function latest to get the latest value of data. It is used to collect unstructured data whose columns are not fixed and can be automatically stitched to calculate the complete data.
  • Expanding the connectivity ecosystem 
    • On one hand, we continue to add built-in and extended source/sink by adding Httppush source, which allows users to push data to eKuiper via HTTP protocol; adding built-in Redis lookup source, which supports using Redis as external lookup table; adding Influx V2 sink, which supports writing to InfluxDB 2.x version. At the same time, Memory, SQL, and Redis source are adapted to support lookup tables; Memory, SQL, and Redis sink are adapted to be updatable.
  • Enhance the Ops experience
    • The new release refactors the external connection configuration API to enable easier connection resource management. Another major update comes from the bulk import/export and initialization of streams and rules to facilitate the migration of eKuiper instances.

Learn more about these and other features of eKuiper’s 1.7.0 release in the release notes.

What’s next

In the next release, the community will work on enhancing graph API to support more nodes, such as switch node and script node, to provide a more powerful and easy-to-use rule pipeline composing tool. A new function to run tensor flow lite model will be provided to easily integrate with AI models. Check out the evolving Github 1.8.0 milestones and we welcome you to add your wisdom.

Fledge Issues 2.0 Release With Support for Enhanced Data Types, New Plugins and More

By Blog, Fledge

Fledge—the open source Industrial IoT system—is now available in its 2.0 release. Fledge, an LF Edge project, is an open source framework and community for the industrial edge focused on critical operations, predictive maintenance, situational awareness and safety. Fledge is architected to integrate Industrial Internet of Things (IIoT), sensors and modern machines with the cloud and existing “brown field” systems like historians, Distributed Control Systems (DCS), Program Logic Controllers (PLC) and Supervisory Control and Data Acquisition (SCADA). All share a common set of administration and application APIs.

“I am extremely happy to announce the general availability of the Fledge 2.0 release”, said Mark Riddoch, Fledge TSC Co-chair, “It’s exciting to see the new release provides a scalable, secure, robust infrastructure for collecting data from sensors, processing data at the edge using intelligent data pipelines and transporting data to historian and other management systems.”

The 2.0 release adds a number of significant new features, among them are

  • Support for enhanced data types including vector data and images allowing computer vision techniques to be used in sensor data collection.
  • The introduction of a control flow allowing Fledge to be used not just to gather sensor data but to allow non-time critical control features.
  • A set of new features targeted to help both no-code data pipeline developers and developers of new plugins.
  • Expanded and restructured documentation including a best practices guide for developing data pipelines.
  • The notification and alerting system have been enhanced to allow for watchdog monitors to be added to the data flows into Fledge.
  • A number of new plugins have been added to the ever growing list of those available within Fledge.

A myriad of other new features, enhancements and bug fixes are also included, full details can be found in the release notes available as part of the online documentation.

Join the Fledge community

You can visit Fledge wiki to contribute to the project. If your organization is in the energy sector, please visit Fledge Power wiki. You can also attend the regular Technical Steering Committee (TSC) meeting to ask questions and hear what the community is doing next.

Your Guide to LF Edge (+ Related) Sessions at ONE Summit

By Akraino, Blog, EdgeX Foundry, Event, Home Edge, LF Edge, Open Horizon, Project EVE

In case you missed it, the ONE Summit agenda is now live! With 70+ sessions delivered by speakers from over 50 organizations, at ONE Summit, you can meet industry experts who will share their edge computing knowledge across 5G, factory floor, Smart Home, Robotics, government, Metaverse, and VR use cases, using LF Edge projects including Akraino, EdgeX Foundry, EVE and more.

Save your seat for the ONE Summit today and add these edge sessions to your schedule. We hope to see you in Seattle, WA November 15-16!

Tuesday, November 15:

9:00am – 9:15am

11:30am – 12:00pm

12:10pm – 12:40pm

12:10pm – 12:40pm

2:00pm – 2:30pm

2:40pm – 3:10pm

  • Proliferation of Edge Computing in Smart Home
    • Speakers:
      • Suresh Lalapet Chakravarthy, Staff Engineer, Samsung R&D Institute India – Bangalore
      • Nitu Sajjanlal Gupta, Lead Engineer, Samsung R&D Institute India – Bangalore
    • Featured LF project: Home Edge

3:40pm – 4:10pm

3:54pm – 4:01pm

4:20pm – 4:50pm

  • 4:20pm – 5:30pm
    • Featured LF project: Project EVE
Wednesday, November 16

11:30am – 12:00pm

12:10pm – 12:40pm

2:00pm – 2:30pm

  • Deploying and Automating at the Edge
    • Speakers:
      • William Brooke Frischemeier, SR. Director Head Of Product Management Unified Cloud BU, Rakuten Symphony
      • Mehran Hadipour, VP- BD & tech Alliances, Rakuten Symphony

3:40pm – 4:10pm

4:20pm – 4:50pm

4:20pm – 5:30pm

Hurry! Early Bird (Corporate) registration closes September 9! Bookmark the ONE Summit website to easily find updates as more event news is announced, and follow LF Edge on Twitter to hear more about the event. We hope to see you in Seattle soon!


LFX’22 Mentorship Experience with Open Horizon

By Blog, Open Horizon, Training

Hey everyone!
I am Ruchi Pakhle currently pursuing my Bachelor’s in Computer Engineering from MGM’s College of Engineering & Technology. I am a passionate developer and an open-source enthusiast. I recently graduated from LFX Mentorship Program. In this blog post, I will share my experience of contributing to Open Horizon, a platform for deploying container-based workloads and related machine learning models to compute nodes/clusters on edge.


I have been an active contributor to open-source projects via different programs like GirlScript Summer of Code, Script Winter of Code & so on.. through these programs I contributed to different beginner-level open-source projects. After almost doing this for a year, I contributed to different organizations for different projects including documentation and code. On a very random morning applications for LFX were opened up and I saw various posts on LinkedIn among that posts one post was of my very dear friend, Unnati Chhabra, she had just graduated from the program and hence I went ahead and checked the organization that was a fit as per my skill set and decided to give it a shot.

Why did I apply to Open Horizon?

I was very interested in DevOps and Cloud Native technologies and I wanted to get started with them but have been procrastinating a lot and did not know how to pave my path ahead. I was constantly looking for opportunities that I can get my hands on. And as Open Horizon works exactly on DevOps and Cloud Native technologies, I straight away applied to their project and they had two slots open for the spring cohort. I joined their element channel and started becoming active by contributing to the project, engaging with the community, and also started to read more about the architecture and tried to understand it well by referring to their youtube videos. You can contribute to Open Horizon here.

Application process

Linux Foundation opens LFX mentorship applications thrice a year: one in spring, one in summer, and the winter cohort, each cohort being for a span of 3 months. I applied to the winter cohort for which the applications opened up around February 2022 and I submitted my application on 4th February 2022 for the Open Horizon Project. I remember there were three documents mandatory for submitting the application:

1. Updated Resume/CV

2. Cover Letter

(this is very very important in terms of your selection so cover everything in your cover letter and maybe add links to your projects, achievements, or wherever you think they can add great value)

The cover letter should cover these points primarily👇

  • How did you find out about our mentorship program?
  • Why are you interested in this program?
  • What experience and knowledge/skills do you have that are applicable to this program?
  • What do you hope to get out of this mentorship experience?

3. A permission document from your university stating they have no obligation over the entire span of the mentorship was also required(this depends on org to org and may not be asked as well)

Selection Mail

The LFX acceptance mail was a major achievement for me as at that period of time I was constantly getting rejections and I had absolutely no idea about how things were gonna work out for me. I was constantly doubting myself and hence this mail not only boosted my confidence but also gave me a ray of hope of achieving things by working hard towards it consistently. A major thanks to my mentors,  Joe Pearson and Troy Fine, for believing in me and giving me this opportunity.⭐

My Mentorship Journey

Starting off from the day I applied to the LFX until getting selected as an LFX Mentee and working successfully for over 3 months and a half, it felt surreal. I have been contributing to open-source projects and organizations before. But being a part of LFX gave me such a huge learning curve and a sense of credibility and ownership that I got here wouldn’t have gotten anywhere else.

I still remember setting up the  mgmt-hub all-in-one script locally and I thought it was just a cakewalk, well it was not. I literally used to try every single day to run the script but somehow it would end up giving some errors, I used to google them and apply the results but still, it would fail. But one thing which I consistently did was share my progress regularly with my mentor, Troy no matter if the script used to fail but still I used to communicate that with Troy, I would send him logs and he used to give me some probable solutions for the same but still the script used to fail. I then messaged in  the open-horizon-examples group and Joe used to help with my doubts, a huge thanks to him and Troy for helping me figure out things patiently. After over a month on April 1st, the script got successfully executed and then I started to work on the issues assigned by Troy.

These three months taught me to be consistent no matter what the circumstances are and work patiently which I wouldn’t have learned in my college. This experience would no doubt make me a better developer and engineer along with the best practices followed. A timeline of my journey has been shared here.

  1. Checkout my contributions here
  2. Checkout open-horizon-services repo

Concluding the program

The LFX Mentorship Program was a great great experience and I did get a great learning curve which I wouldn’t have gotten any other way. The program not only encourages developers to kick-start their open-source journey but also provides some great perks like networking, and learning from the best minds. I would like to thank my mentors Joe Pearson, Troy Fine, and Glen Darling because without their support and patience this wouldn’t have been possible. I would be forever grateful for this opportunity.

Special thanks to my mentor Troy for always being patient with me. These kind words would remain with me always although the program would have ended.

And yes how can I forget to plug in the awesome swags, special thanks, and gratitude to my mentor Joe Pearson for sending me such cool swags and this super cool note ❤

If you have any queries, connect with me on LinkedIn or Twitter and I would be happy to help you out 😀