24:48

Amazon EBS volume types: How to choose the right one(s) for your use case

13:02

Amazon EBS overview: Intro to block storage, features, and use cases

02:23

Helping Automation Intellect Improve Manufacturing with Real-Time AI-Powered Insights | AWS + DoiT

02:52

How DoiT Empowered RateMyAgent to Scale on AWS

02:33

Accelerate Your Cloud Operations: Discover DoiT Threads and Advanced Dashboard Tools

01:09

Gateway API vs. Ingress NGINX: What are the configuration differences?

01:41

Pod in-place resizing explained: Resize pod resources without restarting containers

01:40

How data compression and format impact your egress costs

02:00

How mismanaged data storage and excessive regionalization inflates egress costs

02:33

Google Cloud Spanner’s price increase and how it will impact your data transfer costs

01:12

The hidden costs of multi-AZ: How high availability can inflate your cloud bill

02:12

Understanding AWS NAT gateway charges and how AlterNAT can reduce your data transfer costs

00:59

CDNs vs S3/GCS direct transfer: Why you should use CDNs for lower data transfer costs

46:06

Reducing cloud egress charges: 10 common pitfalls and how to avoid them [Cloud Masters #121]

03:37

Choosing the right CNI for EKS: Navigating IP exhaustion and network challenges

04:06

EKS and Infrastructure as Code (IaC): Terraform vs. CloudFormation vs. OpenTofu

00:53

Why set up Amazon EMR on EKS for cost-effective Apache Spark analytics

08:23

AWS IAM Roles in EKS pods: How to implement direct IAM access in Kubernetes on Amazon EKS

02:18

How to handle massive task bursts in Kubernetes with KEDA

02:52

Amazon EKS logging and alerting best practices (and should you send alerts to Slack?)

01:47

EKS scalability limits: How many pods, services, and long-running jobs can it really handle?

01:35

Stateful apps on Kubernetes: Should you host Elasticsearch and databases in containers?

01:53

Why Amazon EKS recreates nodes and how to plan for it

02:56

Kubernetes resource thresholds: Setting optimal alert levels & scaling strategies for CPU and memory

01:44

EKS upgrade strategies: Blue/green vs. in-place

03:47

Monitoring Amazon EKS performance: How to optimize service response times and error rates

05:45

How DoiT Strengthened Monstarlab’s Cloud Management and Transparency

07:31

Deep Dive into Ava: Transforming Cloud Management with AI in DoiT Cloud Navigator

38:51

Kubernetes in 2024: Five pivotal updates improving container orchestration [Cloud Masters #120]

01:23

How to optimize transcript format for Vertex AI intent detection

01:03

Making Google Document AI's custom extractor output JSON in the same order as the original PDF

03:06

Passing parameters between agents with Vertex AI Agent Builder

05:57

Using Google Workspace data for RAG with Vertex AI

01:03

Testing LLM-Based Custom Agents: Mocking API responses with Google Cloud Functions

05:42

GenAI on Google Cloud: How to get started

02:58

How to make your LLM generate JSON outputs with Google Vertex AI

05:08

Vertex AI Agent Builder: Best practices for iOS-native app integration

02:51

Elevate your FinOps Practices: Introducing DataHub and AWS Organization Tags in DoiT Cloud Navigator

02:54

How to make your cloud marketplace listing stand out with cloud sales reps

02:04

Reporting on your Cloud Marketplace performance: Which metrics should you measure?

01:23

How to validate cloud marketplace ROI using existing deal flow

07:21

Cloud marketplace pitfalls and how to navigate them

03:24

Cloud marketplace integration: How to gain internal buy-in

59:05

Cloud Marketplaces: Best practices for listing, co-selling and accelerating GTM [Cloud Masters #119]

02:50

BigQuery time travel and pitfalls to be aware of

01:18

How AWS manages data used for training LLMs on Amazon Bedrock

00:36

How to mitigate token limitation issues with RAG and prompt chaining

01:31

LLM model quantization and how it impacts model performance

02:16

Tips for deploying an LLM with a large prompt context to the edge

04:07

How LLM agents work + how to orchestrate your LLMs with agents in Amazon Bedrock

03:37

What's the expected concurrent request limit for Llama 3 on Amazon Sagemaker?

02:25

When to use token-based pricing with Amazon Bedrock vs. hosting your own models

10:53

How to allocate LLM costs & track usage of models on Amazon Bedrock and Sagemaker Studio

02:41

How to prevent PII data from being shared by LLMs in Amazon Bedrock

03:41

Prompt engineering vs. Parameter-efficient fine tuning (PEFT) in Amazon Bedrock

02:27

Online vs. offline LLMs: Memory, cost, reliability, and time considerations

05:19

How a customer cut storage costs by 40% by aligning technical decisions with business requirements

06:22

AWS GenAI offerings: Live demo & walkthrough for beginners

04:26

Why regular architecture reviews can reduce your cloud bill: A real-life story with EKS

05:13

BigQuery Physical Storage: Situations where it'll reduce your BigQuery costs