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#672: AWS News Updates, June 17, 2024

#672: AWS News Updates, June 17, 2024

Released Monday, 17th June 2024
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#672: AWS News Updates, June 17, 2024

#672: AWS News Updates, June 17, 2024

#672: AWS News Updates, June 17, 2024

#672: AWS News Updates, June 17, 2024

Monday, 17th June 2024
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Episode Transcript

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0:00

This is episode 672 of the AWS podcast released on June 17th, 2024.

0:09

Welcome everyone to the AWS podcast.

0:11

This is Jillian Ford taking

0:13

the place of Simon to do

0:15

this intro, which I still, it never

0:18

gets old, how weird it feels, but

0:20

Simon's around. He's just on

0:22

vacation today, but I

0:24

am here with the one and only amazing

0:27

Trudy. How's it going, Trudy? It's

0:30

going really well. And thank you for that

0:32

call out. One and only amazing. I don't

0:34

think anyone's ever called me that. So that's

0:36

awesome. Oh, first time for everything on the

0:38

update show. That's right. I

0:41

probably am the only host who's

0:43

named Trudy in our whatever history of hosts.

0:45

So that might be true. And

0:47

I'm excited for the updates we have here.

0:50

I feel like you're right that it never

0:52

gets old, that it's somehow always seems hard

0:54

when Simon's not around. But I also think

0:56

we are finding our groove as when we

0:58

do this, just you and me. I think

1:01

so too. Yeah. Multi-availability

1:03

zones. We are distributed this team.

1:05

So multi-region, that's right. This one's going to be

1:07

a shorter one, but there's a lot of just

1:09

like really useful updates, I would

1:11

say for the folks who are listening. So

1:13

let's get into them. Let's start with analytics.

1:16

Amazon open search ingestion now

1:18

allows you to ingest streaming

1:20

data from Amazon managed streaming

1:22

for Apache Kafka serverless, enabling

1:25

you to seamlessly index the data

1:27

from Amazon MSK serverless clusters and

1:30

Amazon open search service managed clusters

1:32

or serverless collections without the need

1:34

for any third party data connectors.

1:38

With this integration, you can now use

1:40

Amazon open search ingestion to

1:42

perform near real time aggregations,

1:45

sampling and anomaly detection on

1:47

data ingested from Amazon MSK

1:49

serverless, helping you to build

1:51

efficient data pipelines to power

1:54

your complex observability and

1:56

analytics use cases. Another

2:00

great updates from the Open

2:02

such seen his fractional point

2:04

five open search capacity units.

2:06

The open search service can

2:09

be deployed starting actress to

2:11

O sea use. For.

2:13

Production workloads. This includes One O

2:15

Sea You which is hop asserts

2:17

capacity units for primary and stand

2:19

by indexing notes at point Five

2:22

O Sea of each and one

2:24

O Sea a total for search

2:26

across two Point Five O Sea

2:28

You active replica notes in separate

2:30

of zones. Open. Source

2:32

service will automatically skill. Up the O

2:35

C use be some workload demand. Additionally,

2:37

for death and test workloads that

2:39

don't require highveld only open search

2:41

service. Offers a one o sea

2:43

you deployment option further cutting costs

2:45

and half with Point Five Oh

2:47

Sees for indexing and Point Five

2:49

O Sea You for search. Last

2:53

one on analytics is. We

2:55

are excited to announce any streaming

2:57

job mode on Amazon Am are

2:59

surplus. Enabling you to continuously

3:01

analyze and process streaming data. Are

3:05

right next up. We have

3:07

a few updates under application

3:09

integration. Eight of Health Imaging

3:11

now supports his injuries and

3:14

architectures by sending event notifications

3:16

to Amazon Event Bridge. Amazon

3:19

time stream for live analytics

3:21

is now an Amazon Even

3:24

Bridge. Five Stargate. Simplifying

3:26

the ingestion of time series

3:28

data from sources such as

3:30

Amazon can assess Amazon Dynamo,

3:32

Db, Amazon Ask Us and

3:34

more. Pipes provide a

3:36

fully managed experience, enabling you

3:38

to ingest time series data

3:41

into time stream for live

3:43

analytics without the need to

3:45

write undifferentiated integration. Court always

3:47

loved that when eight of

3:50

as does the heavy lifting

3:52

of writing undifferentiated good. totally.

3:54

Eight of us are fabric. And. Know

3:57

court service that quickly degrades

3:59

with. That applications to

4:01

enhance an organization Security

4:03

for shirt now supports

4:05

jump cloud. Up

4:07

Fabric provides aggregated and normalized

4:10

ordered logs from popular Sas

4:12

applications such as Slack, the

4:14

Zoom Salesforce at machines you

4:16

to suit, so on and

4:18

so forth. By. Centralizing

4:20

Sas application data. Up

4:23

Fabric Health Steams gain greater

4:25

visibility into one that abilities

4:27

in a customer Sas environment,

4:30

enabling them to monitor. Threats.

4:32

More effectively and respond to

4:35

incidents. Id.

4:37

And security team and no longer

4:39

need to manage find to find

4:41

Sas integrations that take time away

4:43

from higher value tasks like standardizing

4:45

alerts are setting common security policy.

4:49

Know. We got artificial intelligence.

4:52

Amazon sees me current now integrates

4:54

model cards into model registry, making

4:56

it easier for customers to manage

4:58

governance information for specific model versions

5:01

directly a model registry and just

5:03

a few clicks. Amazon

5:07

Cute developer launches a I powered

5:09

inline completions in the command line.

5:11

As developers type in their command

5:13

line, you developer will provide real

5:15

time a. I generated code suggestions

5:18

for instance, if a developer types.

5:20

Back. Ticket Get back Tix

5:23

Q Developer might suggest back

5:25

Tic Push Origin Main Basic.

5:28

That's. A symbol back to not actually

5:30

reading tactic, just. For. You

5:32

all else developers can accept the

5:35

suggestion by simply pressing the the

5:37

right arrow. Amazon.

5:39

Titan text embedding version to with

5:42

a. New embedding model in the.

5:44

Amazon Time family of models is

5:46

now available for use with knowledge

5:48

pieces for Amazon Bedrock. Using Titan

5:51

text to embedding speed to customers

5:53

can embed their data into effect

5:55

or database. And use it to

5:57

retrieve relevant information for. Tasks such

6:00

as questions and answers,

6:02

classification, or personalize recommendations.

6:05

Amazon Text embedding to be to

6:08

his office for retrieval augmented generation.

6:10

And is an efficient model ideal

6:13

for high accuracy. Retrieval tasks

6:15

at different dimensions The mall

6:17

support flexible. Embedding sizes and

6:19

maintains accuracy at. Smaller dimension

6:22

sizes. Hobby to reduce storage

6:24

costs without compromising on accuracy.

6:27

One reducing from one thousand twenty

6:29

four to five hundred and twelve

6:31

dimensions time text embedding to be

6:33

to were teens approximately ninety nine

6:35

percent retrieval accuracy, and reducing from

6:37

one thousand and twenty four to

6:39

two hundred fifty six dimensions the

6:41

mall or of maintains ninety seven

6:43

percent accuracy. Additionally, plain

6:45

text embedding spears and to

6:48

includes multilingual support. For over a

6:50

hundred. Languages in Pre Training as

6:52

well as unit. Factor Normalization

6:54

for improving accuracy of

6:57

measuring sector similarity. Next.

6:59

Self. We have a few updates under

7:02

Compute. We. Are excited

7:04

to announce the availability of

7:06

Amazon! Easy to instance type

7:08

find are enabling you to

7:10

select the ideal easy to

7:12

instant types for your workload.

7:14

This uses machine learning to

7:16

help customers make quick and

7:19

cost effective selections of instance

7:21

type before that provision that

7:23

workloads. So using the aid

7:25

of this management console, customers

7:27

can specify the workload requirement

7:29

and get really good recommendations

7:31

on what instances. To use. Incensed.

7:34

I find or is integrated with

7:37

Amazon Q which will allow customers

7:39

to use national language to specify

7:41

requirements and then get the instant

7:43

family situation. So. This

7:46

one's really exciting because Easy

7:48

To has more than seven

7:50

fifty instance types and this

7:52

kind of functionality with the

7:54

instance type finder will enable

7:56

customers to easily choose the

7:58

best option for. They were to

8:01

requirements whether they're trying to optimize

8:03

performance or lower costs whatever that

8:05

might be and by using the

8:07

easy to and since I find

8:09

or in Amazon, Q and other

8:11

console experiences, customers will be able

8:13

to make really informed decisions about

8:15

what the best instant types are

8:17

for their workloads and basically speed

8:19

up at eight of the development

8:21

instead of having to lose all

8:23

his research themselves. find or will

8:25

help guide your decisions. I'm really

8:27

excited about this one's easy to

8:29

insensate. Find. Or is available in

8:31

all commercial eight of Us regions.

8:34

No one thinks you're That is

8:36

interesting is that we already have

8:38

a similar functionality that you know

8:40

customers may be familiar with which

8:42

is called the Computer Optimizers. So

8:45

what do you think about that

8:47

When would customers use one horses

8:49

the other? And what has your

8:51

experience been with with Compute optimizers?

8:54

Such. A third call out on

8:56

compute optimizers so of folks were listening

8:59

who don't know a computer optimizers is

9:01

it will run analysis on your easy

9:03

to instance utilization in your a that

9:05

the U S environment. so this is

9:08

great when you are running easy to

9:10

instances and he wanna be able to

9:12

understand hey. How. For utilization

9:14

said I B M I using the

9:16

right instance type so they may be

9:19

can I use a smaller one or

9:21

their savings plans opportunities So that is

9:23

great for easy to instance workloads where

9:25

you're already running them. So when I

9:27

love about this is now there's really

9:29

no excuse because it has got a

9:31

new workload in your like on I

9:34

What's going to pick a winner? What

9:36

size depicts You've got the newest his

9:38

recommendations and then if you've got one

9:40

already you've got. To. Pew optimizers for

9:42

those existing applications that are using Easy

9:44

to instances. This something for pretty much

9:47

anyone who's using Easy to as load

9:49

everything Easy Do right? Yeah,

9:51

absolutely something for everyone and easy

9:54

to sort of provides the broadest

9:56

and deepest set off instances and

9:58

these to function. These help

10:00

customers navigate that really broad

10:03

and the portfolio. To. Help

10:05

find the right one for them. All

10:08

right. Next up, we have

10:10

it up: Louis: Elastic Beanstalk

10:12

or which now supports.net Aid

10:14

on a L. Twenty Twenty

10:16

Three Elastic Beanstalk Environments. And

10:19

eight of us batch now

10:21

offers the job queue snapshot

10:23

feature enabling customers to observe

10:25

the jobs at the front

10:27

of that use. This feature

10:29

provides visibility to the existing

10:32

eight of the this batch

10:34

fair share scheduling capabilities. The.

10:36

Job Queue snapshot display of the jobs

10:38

at the front of your job to

10:40

use to assist. Administrators. Now.

10:44

On Cassandra Edmunds, Amazon Can

10:46

Act now provides time zone

10:48

support for forecasts. Amazon Connect

10:51

Agent Workspace now features. And

10:53

up the the user interface to

10:55

improve productivity and focus for your

10:57

agents. Now.

10:59

You have databases. Amazon.

11:02

Or on my sequel, three.zero

11:04

Seven. Is generally available. Eight.

11:06

It is Dms now supports Babel

11:08

Fish for over a post grass

11:10

as a source. One.

11:13

Quick update on developer tools Amazon

11:15

Cool Catalyst now supports get hub

11:17

cloud. Source Code with Blueprints Lupus

11:19

are used by Code Catalyst to

11:21

set up a code repository with

11:24

a working simple app to find

11:26

cloud infrastructure and run pre configured

11:28

see I see the workflows for

11:30

your project. Now customers can

11:32

use code Carlos. Blueprints to create

11:34

a project with a source repository

11:37

and simple source code, Si Se

11:39

workloads and build and test reports

11:42

and integrate issue tracking tools. Know

11:45

you've got to updates on front

11:47

end web and mobile. Amazon.

11:50

Apia gateway now enables customers.

11:52

to increase their integration time out beyond

11:54

the prior limit of twenty nine seconds

11:56

i know this is really exciting if

11:58

you've got any those Long-running workloads,

12:00

maybe there's like a generative AI workload

12:02

or there's some other SaaS type of

12:04

application where you're relying on a third

12:06

party and it requires this

12:09

longer integration timeout. This is definitely one

12:11

that you want to make sure that

12:13

you bookmark as update. That's going to

12:15

definitely help you. And

12:17

the last one on the front

12:19

end web and mobile updates

12:21

is Amazon Location Service launches

12:23

enhanced location integrity features, which

12:25

offer tools to help developers

12:27

evaluate the accuracy and authenticity

12:30

of user-reported locations. With

12:32

enhanced location integrity features, customers can

12:35

now use predictive tools that

12:37

anticipate user movements into or

12:39

out of customer-specified areas using

12:41

criteria like time to breach and

12:44

proximity to enhance monitoring and security

12:46

measures. Now

12:48

one quick update on the

12:50

Internet of Things, AWS IoT

12:52

Device Management as a unified

12:55

connectivity metrics monitoring dashboard. Next

13:00

up, we have Management and Governance.

13:03

Amazon CloudWatch now supports

13:05

AWS CloudTrail Data Event

13:07

Logging for the GetMetric

13:09

data and the GetMetric

13:11

widget image APIs. Amazon

13:14

CloudWatch Logs Livetail now

13:16

supports streaming CLI making

13:19

it possible to view, search, and

13:22

filter relevant log events in real

13:24

time. You can now view

13:26

your logs interactively in real time as

13:29

they're ingested via the

13:31

AWS CLI or programmatically

13:33

within your own custom dashboards

13:35

inside or outside of AWS.

13:39

AWS launches AWS Tax

13:41

Settings API, a new

13:43

public API service that

13:46

enables customers to programmatically

13:48

view, set, and modify

13:50

tax registration information and

13:53

associated business legal name and

13:55

address. This launch

13:57

allows you to automate tax registration.

14:00

updates as an enhanced

14:02

offering to the AWS tax

14:04

settings page. Up

14:06

until now, customers managing tax

14:08

registration information could only update

14:11

this information from the tax

14:13

settings page on the AWS

14:15

billing console. This

14:17

API now enables customers to

14:20

automate setting their tax information

14:22

while creating bulk accounts instead

14:25

of manually setting tax registration

14:27

information for accounts. This

14:30

programmatic supports allow customers to

14:32

build automation around setting and

14:35

modifying tax registration information. Customer

14:38

creating accounts using the AWS

14:40

account creation API and other

14:42

AWS services can now fully

14:45

automate their account creation process

14:47

by integrating the tax registration

14:49

workflow into their overall programmatic

14:52

account creation process. One

14:55

update on migration and transfer. AWS

14:58

Transfer Family increases message size

15:00

and throughput limits for the

15:02

applicability statement protocol. And

15:06

last of the update show, we've

15:08

got two updates on security, identity,

15:10

and compliance. Amazon Inspector

15:12

container image scanning is now

15:15

available for Amazon Code Catalyst

15:17

and GitHub Actions. And

15:19

we've got an update from Audit Manager, which I

15:22

think is gonna be tied with the

15:24

EC2 instance new recommendation update,

15:26

I've gotta say. Audit Manager, I

15:28

love this one because there's so

15:30

many industries, so many different types

15:33

of businesses that can really benefit

15:35

from Audit Manager. So this one's

15:37

a really good one. So AWS

15:39

Audit Manager hasn't introduced a common

15:41

control library that simplifies the process

15:43

of automating risk and compliance assessments

15:46

against enterprise controls. This new

15:48

library enables governance, risk, and

15:50

compliance teams to efficiently map

15:53

their controls into Audit Manager

15:55

for evidence collection. The

15:58

new common control library... provides

16:00

predefined and pre-mapped AWS

16:03

data sources, eliminating the need

16:05

to identify which AWS resources

16:07

to assess for various controls.

16:10

It defines AWS Managed Common

16:12

Controls based on extensive mapping

16:15

and reviews by AWS certified

16:17

auditors, determining the appropriate data

16:20

sources for evidence collection. With

16:23

this launch, Audit Manager will also

16:25

deliver more evidence mappings for

16:27

controls, including 140 newly supported API

16:29

calls for

16:32

additional evidence. You can

16:35

customize and update all evidence mappings

16:37

as appropriate for your objectives. The

16:40

library also reduces the need

16:42

to implement different compliance standard

16:44

requirements individually and review data

16:46

multiple times across different compliance

16:49

regimes. It identifies

16:51

common requirements controls,

16:53

helping customers understand their

16:55

audit readiness across multiple

16:57

frameworks simultaneously. As

17:00

AWS Audit Manager updates or adds

17:02

data sources, such as

17:04

CloudTrail events or API calls

17:06

or any newly AWS Config

17:08

rules or maps additional

17:11

compliance frameworks to the common

17:13

controls, customers automatically

17:16

inherit these improvements. This

17:19

removes the need for content updating

17:21

and provides the benefit of additional

17:23

compliance frameworks added to the Audit

17:26

Manager library. Shruti,

17:28

that might be a world record of

17:30

the fastest AWS update show we have

17:33

ever done. I

17:35

think so. I think this was a quick and

17:37

short one, but it did have some interesting ones,

17:39

as you said. Yeah, totally.

17:41

EC2 recommender for new instance

17:43

types, definitely this Audit Manager.

17:45

I really liked that one.

17:48

Shruti, where can people get a hold

17:50

of you on the internet? Yeah,

17:53

you can find me on LinkedIn, Shruti

17:56

Koperkar, or you can also find me

17:58

on Twitter. Same thing, Shruti Koperkar. And

18:01

you can also reach out

18:03

to us on aws.amazon.com/ podcast.

18:06

We've got a big button on the

18:08

page where we would love for

18:10

your feedback. And if you fill out that

18:12

form, we're actually going to read it. Like

18:14

Shruti and I are going to sit there

18:16

and actually read it because we love hearing

18:19

feedback from customers. So please reach

18:21

out if you want to hear

18:23

any new topics, anything feedback related

18:25

about the update show, the AWS podcast.

18:27

Or a topic that you want to

18:29

hear. Or a topic, yes. Please

18:32

send suggestions about what you'd like

18:34

to hear more about. As Jillian

18:36

said, we are an extremely customer

18:38

obsessed company. And everything we do

18:40

here is working backwards from

18:42

customer needs. So if there's something you want

18:44

us to do a deep dive on, let

18:47

us know. That's right. All right,

18:49

everyone. Until next time, keep

18:51

on building.

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