What is the way to find DevOps / SRE person for my SaaS project?
As the title indicates, I am seeking a DevOps /SRE to work on my SaaS project. What is the best way to find this person? Fiverr and Upwork haven't been helpful. Are there any other sites or places I can look?
More specially I need someone who can do the following:
* CI/CD implementation
* Data privacy
* Logging/Alerts attached to Staging and Prod environments
* Platform security
* Maintenance (incident management) and bug fixing
Current Stack:
- MERN Stack (MongoDB, Express, React, Node), Bitbucket (currently) - repository, and AWS (EC2,S3)
Feel free to DM me if you have any further ideas/questions, or if you fit this profile and want to chat more.
https://redd.it/1dqbvvg
@r_devops
As the title indicates, I am seeking a DevOps /SRE to work on my SaaS project. What is the best way to find this person? Fiverr and Upwork haven't been helpful. Are there any other sites or places I can look?
More specially I need someone who can do the following:
* CI/CD implementation
* Data privacy
* Logging/Alerts attached to Staging and Prod environments
* Platform security
* Maintenance (incident management) and bug fixing
Current Stack:
- MERN Stack (MongoDB, Express, React, Node), Bitbucket (currently) - repository, and AWS (EC2,S3)
Feel free to DM me if you have any further ideas/questions, or if you fit this profile and want to chat more.
https://redd.it/1dqbvvg
@r_devops
Reddit
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MLOPS Question: Deploying Model Ensembles BentoML to Sagemaker Alternatives
Hi, we are using BentoML and serving our model endpoint in an ECS accessible thru an API call. The model endpoint consists of multiple computer vision models (e.g. YOLO models) working together. Our use case is as follows
* should use only CPU VMs for now (GPUs are quite expensive, but it depends on the MLOps design)
* API calls can be sporadic (i.e. mostly single calls, random, etc.) but there are rare times within the day that the API will be called maybe 4-5x simultaneously)
* Predicting if an API request for the model can be somehow predicted as to when someone logs-in to the application, but not foolproof
* The endpoint can take 1-2 minutes to give a full prediction for an API call (since its CPU) but can be faster with a cheap GPU endpoint
* The user does not need the results to be instant. But it shouldnt be longer than 2-5 minutes.
* should not crash when you send concurrent requests
* cheap
Currently, BentoML on ECS (probably because of a very small machine) crashes when it receives multiple concurrent requests (maybe the RAM is getting flooded).
Is Sagemaker a good answer to this use case? Are there some alternatives to this? Thanks
https://redd.it/1dqd24q
@r_devops
Hi, we are using BentoML and serving our model endpoint in an ECS accessible thru an API call. The model endpoint consists of multiple computer vision models (e.g. YOLO models) working together. Our use case is as follows
* should use only CPU VMs for now (GPUs are quite expensive, but it depends on the MLOps design)
* API calls can be sporadic (i.e. mostly single calls, random, etc.) but there are rare times within the day that the API will be called maybe 4-5x simultaneously)
* Predicting if an API request for the model can be somehow predicted as to when someone logs-in to the application, but not foolproof
* The endpoint can take 1-2 minutes to give a full prediction for an API call (since its CPU) but can be faster with a cheap GPU endpoint
* The user does not need the results to be instant. But it shouldnt be longer than 2-5 minutes.
* should not crash when you send concurrent requests
* cheap
Currently, BentoML on ECS (probably because of a very small machine) crashes when it receives multiple concurrent requests (maybe the RAM is getting flooded).
Is Sagemaker a good answer to this use case? Are there some alternatives to this? Thanks
https://redd.it/1dqd24q
@r_devops
Reddit
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Doubt on Terraform resources sharing between tf states
Just an imaginary scenario,if I define same AWS resource in three tf states (dev,prod,staging) as that resource is shared for using in all environments.If I destroy tf state or remove that resource in any one of the environments tf state ,Will that actually cause deleting that resource? How normally handle these type of scenario? Or we have to keep different statefile for shared resource?
If this question is dumb,pardon.am just a beginner🤝
https://redd.it/1dqhrxk
@r_devops
Just an imaginary scenario,if I define same AWS resource in three tf states (dev,prod,staging) as that resource is shared for using in all environments.If I destroy tf state or remove that resource in any one of the environments tf state ,Will that actually cause deleting that resource? How normally handle these type of scenario? Or we have to keep different statefile for shared resource?
If this question is dumb,pardon.am just a beginner🤝
https://redd.it/1dqhrxk
@r_devops
Reddit
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For a DevOps role, how deep should I dive into learning PromQL?
Share your experiences! Is basic understanding enough, or is diving deeper a must? Let's discuss the importance of PromQL in the DevOps toolkit and how much knowledge is truly necessary.
https://redd.it/1dqjmdp
@r_devops
Share your experiences! Is basic understanding enough, or is diving deeper a must? Let's discuss the importance of PromQL in the DevOps toolkit and how much knowledge is truly necessary.
https://redd.it/1dqjmdp
@r_devops
Reddit
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I systemized a True-Fans-Based Growth Model to make launching new products easier for myself
I launch new products cyclically. Just an indie makers life. Some were very successful, and some less so. I've been in the industry for many years, and I've heard many stories of enterprises from my friends in the industry. I love reading about successful startup stories and adopting the best strategies for myself. I believe that learning from those who have succeeded by thinking outside the box and pioneering new marketing strategies is the foundation that allows us to break patterns ourselves
Some time ago I decided to start writing down ideas and strategies that I personally find most useful so that I could return to them and draw inspiration from them. As it often happens with personal notes, the idea evolved
I divided the product launch into 5 stages (before the product is made, when the MVP is being made, pre-launch, launch, and post-launch), identified the problems I most frequently encountered (and still often face despite a long history with product launching and management) and wrote down strategies to deal with them
What ended up in the final version?
Primarily solutions. Lists of universal possibilities that can be applied in various niches and markets and my favorite - case studies, which allow me to draw inspiration. Of course, I also included articles and books that I used for support
I tend to overthink every obstacle that comes my way and having a simple, clear strategy with examples of their application helps me a lot. Sometimes it's enough for me to read about how industry giants solved their problems to “unlock” the creative process which is key to a success.
If you want to check this out, here's the link: bigfootatemysandwich.com/l/hdvic
Maybe it will help some of you too. Would be awesome if you left a comment. I want to give the knowledge for free as much as possible and so the only reward we get is the impact we are able to give.
PS The file is also available in PDF format, but honestly, it is much easier to use in Notion. It's 48 pages. It's hard to read as a wall of text.
https://redd.it/1dqk6nz
@r_devops
I launch new products cyclically. Just an indie makers life. Some were very successful, and some less so. I've been in the industry for many years, and I've heard many stories of enterprises from my friends in the industry. I love reading about successful startup stories and adopting the best strategies for myself. I believe that learning from those who have succeeded by thinking outside the box and pioneering new marketing strategies is the foundation that allows us to break patterns ourselves
Some time ago I decided to start writing down ideas and strategies that I personally find most useful so that I could return to them and draw inspiration from them. As it often happens with personal notes, the idea evolved
I divided the product launch into 5 stages (before the product is made, when the MVP is being made, pre-launch, launch, and post-launch), identified the problems I most frequently encountered (and still often face despite a long history with product launching and management) and wrote down strategies to deal with them
What ended up in the final version?
Primarily solutions. Lists of universal possibilities that can be applied in various niches and markets and my favorite - case studies, which allow me to draw inspiration. Of course, I also included articles and books that I used for support
I tend to overthink every obstacle that comes my way and having a simple, clear strategy with examples of their application helps me a lot. Sometimes it's enough for me to read about how industry giants solved their problems to “unlock” the creative process which is key to a success.
If you want to check this out, here's the link: bigfootatemysandwich.com/l/hdvic
Maybe it will help some of you too. Would be awesome if you left a comment. I want to give the knowledge for free as much as possible and so the only reward we get is the impact we are able to give.
PS The file is also available in PDF format, but honestly, it is much easier to use in Notion. It's 48 pages. It's hard to read as a wall of text.
https://redd.it/1dqk6nz
@r_devops
Google maps api not diaplaying all data
Through an AI Html code (as I have no coding knowledge). The map is more or less working but I have some issues:
The places display full information. Actually picture, website etc is missing
Not consistent results. He has to lookup for a specific keyword but does not show up always the same places.
The maps behaves wierd. The places information stays up when you click away
Api enabled: maps embed api, maps java script, maps static api, geocoding api, paces api new
https://redd.it/1dqmea2
@r_devops
Through an AI Html code (as I have no coding knowledge). The map is more or less working but I have some issues:
The places display full information. Actually picture, website etc is missing
Not consistent results. He has to lookup for a specific keyword but does not show up always the same places.
The maps behaves wierd. The places information stays up when you click away
Api enabled: maps embed api, maps java script, maps static api, geocoding api, paces api new
https://redd.it/1dqmea2
@r_devops
Reddit
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VM create by Packer, no IP assign and can not an IP
Hi friends,
I use this link for create Qemu ubuntu image by packer,
https://shantanoo-desai.github.io/posts/technology/packer-ubuntu-qemu/
after create an image I run it by this command
Virt-install --import --name Ubuntu --memory 8200 --vcpu 2 --vcpu host --disk Ubuntu,format=qcow2,bus=virtio --network default --os-variant=ubuntu22.04 --graphics spice --noautoconsole
but when I run this command I see no IP assign to this VM
Virsh domifaddr Ubuntu
Name MAC address Protocol Address
-------------------------------------------------------------------------------
and I see this too
virsh dominfo ubuntu
Id: 10
Name: ubuntu
UUID: 93f6a9fb-e331-4a07-b7c1-c324771b3ca8
OS Type: hvm
State: running
CPU(s): 2
CPU time: 306.8s
Max memory: 8396800 KiB
Used memory: 8396800 KiB
Persistent: yes
Autostart: disable
Managed save: no
Security model: apparmor
Security DOI: 0
Security label: libvirt-93f6a9fb-e331-4a07-b7c1-c324771b3ca8 (enforcing)
I do know which part of this guide must change
https://redd.it/1dqrfu5
@r_devops
Hi friends,
I use this link for create Qemu ubuntu image by packer,
https://shantanoo-desai.github.io/posts/technology/packer-ubuntu-qemu/
after create an image I run it by this command
Virt-install --import --name Ubuntu --memory 8200 --vcpu 2 --vcpu host --disk Ubuntu,format=qcow2,bus=virtio --network default --os-variant=ubuntu22.04 --graphics spice --noautoconsole
but when I run this command I see no IP assign to this VM
Virsh domifaddr Ubuntu
Name MAC address Protocol Address
-------------------------------------------------------------------------------
and I see this too
virsh dominfo ubuntu
Id: 10
Name: ubuntu
UUID: 93f6a9fb-e331-4a07-b7c1-c324771b3ca8
OS Type: hvm
State: running
CPU(s): 2
CPU time: 306.8s
Max memory: 8396800 KiB
Used memory: 8396800 KiB
Persistent: yes
Autostart: disable
Managed save: no
Security model: apparmor
Security DOI: 0
Security label: libvirt-93f6a9fb-e331-4a07-b7c1-c324771b3ca8 (enforcing)
I do know which part of this guide must change
https://redd.it/1dqrfu5
@r_devops
shantanoo-desai.github.io
Customized Ubuntu Images using Packer + QEMU + Cloud-Init & UEFI bootloading
Shan's World
Creating a Custom AWS API Gateway REST Terraform Module
Hi everyone! I hope you're all doing well.
Has anyone worked on a fully custom AWS Terraform API Gateway module for a PRIVATE REST API? I'm trying to set one up, but the API Gateway (REST) has some of the most challenging Terraform modules and syntax I've encountered.
We're aiming to create a REST Private API with several endpoints that will forward incoming private traffic to other private resources.
For context, we're avoiding the messages/publisher/receiver architecture between microservices (as per the CTO's preference).
If any of you have experience with this, could you share some advice on managing communication between microservices? We currently use REST API requests between microservices, but we're open to other methods.
Thanks a ton!
https://redd.it/1dqtcsn
@r_devops
Hi everyone! I hope you're all doing well.
Has anyone worked on a fully custom AWS Terraform API Gateway module for a PRIVATE REST API? I'm trying to set one up, but the API Gateway (REST) has some of the most challenging Terraform modules and syntax I've encountered.
We're aiming to create a REST Private API with several endpoints that will forward incoming private traffic to other private resources.
For context, we're avoiding the messages/publisher/receiver architecture between microservices (as per the CTO's preference).
If any of you have experience with this, could you share some advice on managing communication between microservices? We currently use REST API requests between microservices, but we're open to other methods.
Thanks a ton!
https://redd.it/1dqtcsn
@r_devops
Reddit
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Is LPIC-1 worth it?
I'm officially starting out as an SRE, and I'm looking to strengthen my fundamentals, and I believe that LPIC1 is perfect for this case.
My question is, is it worth investing in LPIC1? Would you recommend another cert?
https://redd.it/1dqu9qh
@r_devops
I'm officially starting out as an SRE, and I'm looking to strengthen my fundamentals, and I believe that LPIC1 is perfect for this case.
My question is, is it worth investing in LPIC1? Would you recommend another cert?
https://redd.it/1dqu9qh
@r_devops
Reddit
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Crossplane for IaC
Is anyone here using crossplane for their IaC and what has the experience been like? We are currently evaluating it and I’m just starting to understand the concepts of composite resources and definitions. Seems like it could be a powerful tool for environments that are k8s based.
https://redd.it/1dqu68q
@r_devops
Is anyone here using crossplane for their IaC and what has the experience been like? We are currently evaluating it and I’m just starting to understand the concepts of composite resources and definitions. Seems like it could be a powerful tool for environments that are k8s based.
https://redd.it/1dqu68q
@r_devops
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Recommendations on learning PKI / TLS/SSL implementation
As title states, I do want to learn the theory but also want something to maybe help me learn how to implement TLS/SSL certificates and establish chains of trust etc. I realize im weak in this area and need to improve, as i dont have a background in doing this , ever . Just want to learn, hoping someone has a good course or book they can recommend. Ideally something not 1000+ pages long lol or 60hrs for video.
https://redd.it/1dqskoq
@r_devops
As title states, I do want to learn the theory but also want something to maybe help me learn how to implement TLS/SSL certificates and establish chains of trust etc. I realize im weak in this area and need to improve, as i dont have a background in doing this , ever . Just want to learn, hoping someone has a good course or book they can recommend. Ideally something not 1000+ pages long lol or 60hrs for video.
https://redd.it/1dqskoq
@r_devops
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Recommend course or project
Everybody is saying that certificates aren’t that good in devops and real experience is much more appreciated here, so what can I do to get that experience? which projects? already made Pipeline in aws with github and etc but now I can’t really think of some other interesting ideas and also which course would you recommend or certificate for beginner (cs student for second year had small experience of working in IT)
https://redd.it/1dqs6na
@r_devops
Everybody is saying that certificates aren’t that good in devops and real experience is much more appreciated here, so what can I do to get that experience? which projects? already made Pipeline in aws with github and etc but now I can’t really think of some other interesting ideas and also which course would you recommend or certificate for beginner (cs student for second year had small experience of working in IT)
https://redd.it/1dqs6na
@r_devops
Reddit
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What is the standard policy for testing in lower environments
A few years ago I was the sole devops engineer at seed round startup. I created all the infrastructure, pipelines, etc but once the company went to get a large multimillion dollar contact I was laid and replaced with a senior SRE with 20 years of experience. The company had very tight SLA requirements and I had only worked with seed round startups in the past and they told they wanted someone with more experience with a large production customer. I automated Al the terraform, schema changes, CICD pipelines and a variety of other tasks.
I was focusing on security and I went through a soc 2 audit when I found out the news that I was being laid off. I asked for feedback and my manager said some of the infrastructure in the lower environments were not fully tested. In the seed round with no customers I tried to ship code quickly to the development environment to test. The feedback I got was although I was testing in the development environment, the developers felt like the development environment was unstable at times and were hesitant to trust me when it came to production. We never had a production outage with a customer but the fact that wasn’t battle tested with enterprise traffic scared them.
Is there an acceptable protocol for testing terraform or helm charts in a development environment. We were using argocd and had a limited budget so I could only deploy in the shared development account for testing.
Is there a recommend way to unit test boto3 calls in a lambda function, modern ways to test terraform and ansible ? Is this a realistic expecting that development environment always be bugged free or should I have deployed to development environment only on weekends when other developers were off work to test a configuration?
https://redd.it/1dqzoqc
@r_devops
A few years ago I was the sole devops engineer at seed round startup. I created all the infrastructure, pipelines, etc but once the company went to get a large multimillion dollar contact I was laid and replaced with a senior SRE with 20 years of experience. The company had very tight SLA requirements and I had only worked with seed round startups in the past and they told they wanted someone with more experience with a large production customer. I automated Al the terraform, schema changes, CICD pipelines and a variety of other tasks.
I was focusing on security and I went through a soc 2 audit when I found out the news that I was being laid off. I asked for feedback and my manager said some of the infrastructure in the lower environments were not fully tested. In the seed round with no customers I tried to ship code quickly to the development environment to test. The feedback I got was although I was testing in the development environment, the developers felt like the development environment was unstable at times and were hesitant to trust me when it came to production. We never had a production outage with a customer but the fact that wasn’t battle tested with enterprise traffic scared them.
Is there an acceptable protocol for testing terraform or helm charts in a development environment. We were using argocd and had a limited budget so I could only deploy in the shared development account for testing.
Is there a recommend way to unit test boto3 calls in a lambda function, modern ways to test terraform and ansible ? Is this a realistic expecting that development environment always be bugged free or should I have deployed to development environment only on weekends when other developers were off work to test a configuration?
https://redd.it/1dqzoqc
@r_devops
Reddit
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AZ-104 and AZ-400 or CKA
Hi everyone
I am looking for my first devops role. I know they are completely different certificates and serve completely different purposes but still, which certificate will be more valuable in my CV and increase my chances of HR contacting me?
https://redd.it/1dr0gfk
@r_devops
Hi everyone
I am looking for my first devops role. I know they are completely different certificates and serve completely different purposes but still, which certificate will be more valuable in my CV and increase my chances of HR contacting me?
https://redd.it/1dr0gfk
@r_devops
Reddit
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What cloud to use for my project
Hey, devoos community. I'm working on my side project and made MVP and not it is time to deploy on production. Can you please share your experiences or recommendations what Claude or solution to use for a website for a cost effective.
https://redd.it/1dr48ib
@r_devops
Hey, devoos community. I'm working on my side project and made MVP and not it is time to deploy on production. Can you please share your experiences or recommendations what Claude or solution to use for a website for a cost effective.
https://redd.it/1dr48ib
@r_devops
Reddit
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Learning devops, help
No supported authentication methods available ( server sent: public key ) This error is showing in mobaxterm
I know it's a silly thing to ask but I don't find any proper solution on internet
https://redd.it/1dr5l8h
@r_devops
No supported authentication methods available ( server sent: public key ) This error is showing in mobaxterm
I know it's a silly thing to ask but I don't find any proper solution on internet
https://redd.it/1dr5l8h
@r_devops
Reddit
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Would you pay for a tool to generate the infrastructure as a code for you?
Do you spend a lot of time with integration?
Last time, I spent 21.4 hours building a predictable infrastructure with Pulumi. It was for a simple Golang app. Unfortunately, it was a convoluted process:
1. I had to set up service accounts.
2. I had to review the scattered documentation for permissions and roles.
3. Dealt with obtuse errors
4. ChatGPT, Gemini, et al. failed to give me the proper answers.
5. Had to orchestrate the services so they'd turn on one after the other.
I know there are wrapper services, cloud management solutions, and tools.
​
But in the end, they all either:
a) A wrapper service for the main cloud providers (AWS, Azure, GCP),
b) An alternative cloud for managing the main cloud providers (and they charge you per month)
​
And all charge you for a monthly fee on top of your current bills.
What if you had a tool to generate a Pulumi or Terraform code for you? Something that you'd paid once, and then could you maintain or freely extend it as you please?
View Poll
https://redd.it/1drg6na
@r_devops
Do you spend a lot of time with integration?
Last time, I spent 21.4 hours building a predictable infrastructure with Pulumi. It was for a simple Golang app. Unfortunately, it was a convoluted process:
1. I had to set up service accounts.
2. I had to review the scattered documentation for permissions and roles.
3. Dealt with obtuse errors
4. ChatGPT, Gemini, et al. failed to give me the proper answers.
5. Had to orchestrate the services so they'd turn on one after the other.
I know there are wrapper services, cloud management solutions, and tools.
​
But in the end, they all either:
a) A wrapper service for the main cloud providers (AWS, Azure, GCP),
b) An alternative cloud for managing the main cloud providers (and they charge you per month)
​
And all charge you for a monthly fee on top of your current bills.
What if you had a tool to generate a Pulumi or Terraform code for you? Something that you'd paid once, and then could you maintain or freely extend it as you please?
View Poll
https://redd.it/1drg6na
@r_devops
Career Path Choice Paralysis
I'm sure this is something a lot of other people on this sub have faced, so I'm here to see what other people might've done to get over it.
I'm currently working solo IT at a law firm with my only other experience being 1.5 years of helpdesk at an MSP. The job is ok, but I know it's not where I want to be in the long-term. What I'd really like to get into is DevOps or anything really where I can spend more time coding or scripting. I just really enjoy making automated systems and making them run smoothly via code. Spending more time in an IDE would be awesome. Playing around in CLI is fun as well.
There's a lot to go into and learn for a potential role in DevOps from linux to k8s and a lot more, especially if I lean more into the ops side considering my current work experience. Ideally I'd like to just make the full leap, but I'm not expecting to be able to go straight into a DevOps jobs from this role, so I'd like to at least get something closer, so that the next transition is easier. I start second guessing what I should study and I've wasted so much time not actually learning anything at all outside of my job.
I'm so confident that I'll start studying networking one night(because my networking is kinda weak), then the next day I'll be second guessing my choice and think that maybe I should delve deeper into Linux or Python. Something a bit more directly in line with DevOps. I imagine the route to getting this DevOps job would be to lean more on the ops side considering the experience I already have, then trying to transition more to the dev side after landing my first role. I end up not knowing which path to pursue because I want to lean more heavily into the dev side, but I also still enjoy the ops side and feel like it might better land me a job.
Honestly, I'm not entirely sure how to put this feeling into words. Even with all I've written I don't think I'm quite getting across my problem. I'm being kind of vague, but I can't think of a better way to word it. If anyone has been in a similar position, any advice would be appreciated. I'm worried about my career coming to a standstill at this rate. Currently I'm thinking about studying for the RHCSA and doing a little networking study on the side, but knowing me, I'll change my mind again soon.
tldr; I want to get into some kind of DevOps or linux sysadmin role. I end up not being able to choose a path and have not effectively studied in over six months. I was just curious if anyone has been in a similar position and had any advice.
https://redd.it/1drqbrf
@r_devops
I'm sure this is something a lot of other people on this sub have faced, so I'm here to see what other people might've done to get over it.
I'm currently working solo IT at a law firm with my only other experience being 1.5 years of helpdesk at an MSP. The job is ok, but I know it's not where I want to be in the long-term. What I'd really like to get into is DevOps or anything really where I can spend more time coding or scripting. I just really enjoy making automated systems and making them run smoothly via code. Spending more time in an IDE would be awesome. Playing around in CLI is fun as well.
There's a lot to go into and learn for a potential role in DevOps from linux to k8s and a lot more, especially if I lean more into the ops side considering my current work experience. Ideally I'd like to just make the full leap, but I'm not expecting to be able to go straight into a DevOps jobs from this role, so I'd like to at least get something closer, so that the next transition is easier. I start second guessing what I should study and I've wasted so much time not actually learning anything at all outside of my job.
I'm so confident that I'll start studying networking one night(because my networking is kinda weak), then the next day I'll be second guessing my choice and think that maybe I should delve deeper into Linux or Python. Something a bit more directly in line with DevOps. I imagine the route to getting this DevOps job would be to lean more on the ops side considering the experience I already have, then trying to transition more to the dev side after landing my first role. I end up not knowing which path to pursue because I want to lean more heavily into the dev side, but I also still enjoy the ops side and feel like it might better land me a job.
Honestly, I'm not entirely sure how to put this feeling into words. Even with all I've written I don't think I'm quite getting across my problem. I'm being kind of vague, but I can't think of a better way to word it. If anyone has been in a similar position, any advice would be appreciated. I'm worried about my career coming to a standstill at this rate. Currently I'm thinking about studying for the RHCSA and doing a little networking study on the side, but knowing me, I'll change my mind again soon.
tldr; I want to get into some kind of DevOps or linux sysadmin role. I end up not being able to choose a path and have not effectively studied in over six months. I was just curious if anyone has been in a similar position and had any advice.
https://redd.it/1drqbrf
@r_devops
Reddit
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Docker Compose ECS Integration Migration
I have an application developed and deployed using the retired Docker Compose ECS Integration (https://docs.docker.com/cloud/).
In short, my docker-compose file included some sections which are specific for deployment. Then, by switching to an ECS Docker context, I was able to deploy these containers on ECS, such that Docker elements are translated into AWS elements automatically.
I am looking for an easy and efficient way to convert my already existing deployment pipelines.
Would appreciate any help.
https://redd.it/1drz6mk
@r_devops
I have an application developed and deployed using the retired Docker Compose ECS Integration (https://docs.docker.com/cloud/).
In short, my docker-compose file included some sections which are specific for deployment. Then, by switching to an ECS Docker context, I was able to deploy these containers on ECS, such that Docker elements are translated into AWS elements automatically.
I am looking for an easy and efficient way to convert my already existing deployment pipelines.
Would appreciate any help.
https://redd.it/1drz6mk
@r_devops
Docker Documentation
Cloud integrations
ACI and ECS integration information
Did you know Apache Softwares?
Hi everyone ,
During the last 2 days I have been learnin a course in my master's degree about software platforms. And it keep mentionin a lot of Apache <x> for each type of approaches.
I do have a 3 year experience as a Cloud and Devops engineer , but to be honest except Apache web server , tomcat and kafka i have not worked with anything from apache. Mostly because we live at a time that large cloud providers provide a lot of video /courses/certifications on public clouds that are easier to learn so that is why a lot of people go along that path .
But I made a question to ChatGPT and it gave me a great response that I didn't even know.
The Apache software.
# Web Servers and Networking
Apache HTTP Server: A widely-used web server software.
Apache Tomcat: An implementation of Java Servlet, JavaServer Pages, and Java Expression Language.
Apache Traffic Server: A fast, scalable, and extensible HTTP/1.1 compliant caching proxy server.
Apache MINA: A network application framework for Java.
# Big Data and Analytics
Apache Hadoop: A framework for distributed storage and processing of large data sets.
Apache Spark: A unified analytics engine for big data processing.
Apache Flink: A stream processing framework for high-performance, scalable, and accurate real-time data processing.
Apache Hive: A data warehouse software facilitating reading, writing, and managing large datasets in distributed storage.
Apache HBase: A distributed, scalable, big data store.
Apache Druid: A high-performance, column-oriented, distributed data store.
# Database Management
Apache Cassandra: A highly scalable, high-performance distributed database.
Apache CouchDB: A database that uses JSON for documents, JavaScript for MapReduce queries, and regular HTTP for an API.
Apache Derby: An embedded relational database engine.
Apache Drill: A schema-free SQL query engine for Hadoop, NoSQL, and cloud storage.
# Machine Learning and AI
Apache Mahout: Scalable machine learning and data mining library.
Apache Spark MLlib: Machine learning library integrated with Apache Spark.
Apache MXNet: A deep learning framework designed for efficiency and flexibility.
# Messaging and Integration
Apache Kafka: A distributed streaming platform.
Apache ActiveMQ: A message broker which fully implements the Java Message Service (JMS) API.
Apache Camel: An integration framework that allows you to integrate various systems consuming or producing data.
# Developer Tools
Apache Maven: A build automation tool primarily used for Java projects.
Apache Ant: A Java-based build tool.
Apache Subversion (SVN): A software versioning and revision control system.
# Content Management
Apache Jackrabbit: A fully conforming implementation of the Content Repository for Java Technology API (JCR).
Apache Roller: A Java-based blogging software.
Apache Lenya: An open-source content management system.
# Data Visualization
Apache ECharts: A charting and data visualization library written in JavaScript.
Apache Superset: A modern data exploration and visualization platform.
# Cloud Computing
Apache CloudStack: An open-source software designed to deploy and manage large networks of virtual machines.
Apache Libcloud: A unified interface into various cloud service providers, written in Python.
# Other Notable Projects
Apache Zookeeper: A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
Apache Groovy: An object-oriented programming language for the Java platform.
Apache Lucene: A high-performance, full-featured text search engine library.
Apache Tika: A toolkit for detecting and extracting metadata and structured text content from various documents.
There are so much opensource software that we can use , it has great documentation , they are meant for
Hi everyone ,
During the last 2 days I have been learnin a course in my master's degree about software platforms. And it keep mentionin a lot of Apache <x> for each type of approaches.
I do have a 3 year experience as a Cloud and Devops engineer , but to be honest except Apache web server , tomcat and kafka i have not worked with anything from apache. Mostly because we live at a time that large cloud providers provide a lot of video /courses/certifications on public clouds that are easier to learn so that is why a lot of people go along that path .
But I made a question to ChatGPT and it gave me a great response that I didn't even know.
The Apache software.
# Web Servers and Networking
Apache HTTP Server: A widely-used web server software.
Apache Tomcat: An implementation of Java Servlet, JavaServer Pages, and Java Expression Language.
Apache Traffic Server: A fast, scalable, and extensible HTTP/1.1 compliant caching proxy server.
Apache MINA: A network application framework for Java.
# Big Data and Analytics
Apache Hadoop: A framework for distributed storage and processing of large data sets.
Apache Spark: A unified analytics engine for big data processing.
Apache Flink: A stream processing framework for high-performance, scalable, and accurate real-time data processing.
Apache Hive: A data warehouse software facilitating reading, writing, and managing large datasets in distributed storage.
Apache HBase: A distributed, scalable, big data store.
Apache Druid: A high-performance, column-oriented, distributed data store.
# Database Management
Apache Cassandra: A highly scalable, high-performance distributed database.
Apache CouchDB: A database that uses JSON for documents, JavaScript for MapReduce queries, and regular HTTP for an API.
Apache Derby: An embedded relational database engine.
Apache Drill: A schema-free SQL query engine for Hadoop, NoSQL, and cloud storage.
# Machine Learning and AI
Apache Mahout: Scalable machine learning and data mining library.
Apache Spark MLlib: Machine learning library integrated with Apache Spark.
Apache MXNet: A deep learning framework designed for efficiency and flexibility.
# Messaging and Integration
Apache Kafka: A distributed streaming platform.
Apache ActiveMQ: A message broker which fully implements the Java Message Service (JMS) API.
Apache Camel: An integration framework that allows you to integrate various systems consuming or producing data.
# Developer Tools
Apache Maven: A build automation tool primarily used for Java projects.
Apache Ant: A Java-based build tool.
Apache Subversion (SVN): A software versioning and revision control system.
# Content Management
Apache Jackrabbit: A fully conforming implementation of the Content Repository for Java Technology API (JCR).
Apache Roller: A Java-based blogging software.
Apache Lenya: An open-source content management system.
# Data Visualization
Apache ECharts: A charting and data visualization library written in JavaScript.
Apache Superset: A modern data exploration and visualization platform.
# Cloud Computing
Apache CloudStack: An open-source software designed to deploy and manage large networks of virtual machines.
Apache Libcloud: A unified interface into various cloud service providers, written in Python.
# Other Notable Projects
Apache Zookeeper: A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
Apache Groovy: An object-oriented programming language for the Java platform.
Apache Lucene: A high-performance, full-featured text search engine library.
Apache Tika: A toolkit for detecting and extracting metadata and structured text content from various documents.
There are so much opensource software that we can use , it has great documentation , they are meant for
enterprise level usage.
Did you guys knew all of this ?
IT even has its own private cloud software O.O
You can leverage fully Apache software for an entire project.
What are your thoughts?
https://redd.it/1ds1jnb
@r_devops
Did you guys knew all of this ?
IT even has its own private cloud software O.O
You can leverage fully Apache software for an entire project.
What are your thoughts?
https://redd.it/1ds1jnb
@r_devops
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