List of videos

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Richard_Lees_Jorge_Alvarez_monolith_microservice_modernization Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 1:03 agenda 2:03 why do customers modernize? 3:09 modernization pathways 5:43 monoliths and microservices 11:16 today's scenario 12:24 our modernization approach 13:45 stage 1 - accelerating your modernization with aws app2container 14:37 multi-steps for containerization 16:38 challenges of containerization aws app2container: 18:21- what is it? 21:03 - how does it work? 22:12 java app target architecture 23:13 demo 1 37:45 stage 2 - refactoring using genai 38:24 amazon q 44:06 demo 2 55:30 recommended next steps 57:28 thank you!

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Costa_Tsaousis_practical_ai_machine Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 0:35 about netdata 1:09 how it is different - the traditional way 1:56 the traditional monitoring pipeline 2:45 the result of the traditional pipeline 4:30 the netdata way 6:22 how it works 12:23 distributed monitoring 12:47 fully on-prem 13:18 distributed mixed 13:52 the benefits 16:44 netdata vs prometheus 18:19 ai for observability 19:50 ai for observability is tricky 20:25 how ml works 21:01 sharing of ml models 22:34 so what it can do? 23:29 is anomaly detection accurate? 24:29 then, how can we trust it? 25:20 how it can help us? 29:07 what does netdata do with ml? 30:25 anomaly rate on every chart 30:56 a netdata chart 34:47 netdata's scoring engine 35:27 a netdata dashboard - what is anomalous? 36:21 anomaly advisor 38:25 highlights of ml in netdata 41:14 what is next for ml in netdata? 42:58 thank you!

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Samuel_Baruffi_mastering_generative_aws Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 0:42 agenda 3:16 generative ai is powered by foundation models 6:52 use cases 9:51 innovating at the silicon level 11:24 amazon sagemaker 15:36 waht genai customers are asking for 16:29 amazon bedrock 22:42 amazon + anthropic 25:23 introducing claude 3 26:39 claude 3 family on amazon bedrock 28:05 privately customize models with your data 29:57 knowledge bases for amazon bedrock 33:18 agents for amazon bedrock 35:27 guardrails for amazon bedrock 36:47 batch mode (preview) 37:57 model evaluation on amazon bedrock 39:55 vector database support on aws 41:38 codewhisperer 42:25 how it works 44:45 aws generative ai demo 58:50 conclusion

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Mohammed_Fazalullah_build_orchestrate_serverless Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 0:35 genai is the answer. what was the question? 1:31 accelerate drug discovery 1:41 tailor investment strategies 1:52 enhance medical images 2:03 create product listings 2:30 genai stack 4:49 amazon bedrock 6:44 how do i access foundation models? 7:18 integrating with amazon bedrock 8:14 sequencing is hard 11:02 aws step functions 12:55 directly compose apps from over 220 aws services and 10k api actions 14:05 control service integrations with call patterns 15:15 why direct integration is powerful 17:48 machine learning and genai 18:46 building a genai application 19:11 optimized integration for amazon bedrock 20:14 demo 27:02 requirement 1: generate title and description 27:18 amazon states language (asl) for amazon bedrock 28:22 building a genai application 28:37 how do i access foundation models outside aws? 28:49 accessing a public api 29:46 public https api integration 31:26 asl for https endpoint 32:19 requirement 1: generate multiple titles 32:57 what if something goes wrong... 33:57 how do you handle hard failures? 34:38 redrive 35:22 execution event history for easy observability 36:01 building a genai application 36:43 wait for callback - human / external process 37:26 requirement 2: human feedback loop 37:46 building a genai application 37:52 requirement 3: generate avatar 38:35 prompt chaining 39:14 architecture 40:09 demo 42:56 resources 43:18 thank you

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Manik_Kashikar_architecting_resilient_microservices Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 0:38 agenda 1:05 what is service mesh? 2:25 capabilities of service mesh 5:14 what is envoy? 6:30 functioning / capabilities of envoy 9:24 use case - problem statement 11:27 use case: government record registry 12:20 proposed solution 15:59 deployment of security proxy components 17:21 justification about the solution 19:14 thank you!

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Santosh_Nikhil_Kumar_architectural_largescale_data Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 1:06 storage architecture & retrieval 3:38 b-trees vs quadtrees vs lsm trees vs r-trees vs inverted index 7:24 why b-trees in distributed email service 10:49 why quad-trees in proximity service 16:09 why lsm-trees in write-heavy system 20:06 why inverted indexx in search engines 22:42 partitioning database:- secondary indices 23:36 partitioning secondary index - local 27:32 partitioning secondary index - global 29:50 local vs global 32:22 conflict free replicated datatypes (crdts) 32:57 write conflict in multi-leader replication 38:54 solution: conflicat free replicated datatypes 40:47 inside-out vs outside-in architecture 45:48 inside out vs outside in

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Md_Mostafa_Al_Mahmud_eventdriven_architectures_orchestrating Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 0:53 md. mostada al mahmud 1:22 today's agenda 2:22 eda - powering agility and scalability 3:45 core values of event-driven architectures 5:20 why to use eda 6:25 key concepts of event-driven architectures 8:44 tight coupling vs. loose coupling 10:36 idempotency 12:15 common patterns of eda 20:46 when to use choreography and orchestration together 23:06 when to use combining patterns 28:21 step functions 34:40 demo 37:56 best practices of eda 42:07 resources 42:13 connect

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Prithvish_Kovelamudi_scalable_secure_deployments Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 1:07 what is aws codepipeline? 1:47 advantages of aws codepipeline 5:43 key components of codepipeline 7:00 sample pipeline 7:38 demo

Read the abstract ➤ https://www.conf42.com/Cloud_Native_2024_Nikolay_Pryanishnikov_hono_multiruntime_framework Other sessions at this event ➤ https://www.conf42.com/cloud2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 intro 0:24 preamble 0:34 whoami 1:21 plan js runtimes 1:47 - engines & runtimes 2:25 - engines 2:43 - standalone runtimes 3:09 - service runtimes 3:34 - standalone runtimes api differences 4:38 - 1 service ≠ 1 runtime 5:00 - possible service runtime limitations 6:02 - vercel edge limitations 6:31 - wintercg 6:42 - members 7:14 - web standard apis 8:50 - why api design matters 9:50 hono 10:18 - gaining popularity 10:35 - what it looks like 11:15 - why it's awesome 11:22 - flexible 12:56 - very fast 13:56 - type safety 14:23 - autogenerated client 16:13 - middleware 18:26 - validation 19:58 - openapi 20:58 general takeaways 21:39 hono takeaways 22:25 hono links 22:41 thank you!