Getting Real-Time Middle-Mile Visibility in Your CDN Behavior with DataStream

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Middle-mile visibility in your content delivery network can often help you uncover performance challenges with your apps and digital experiences -- but how do you get it? In this session, we'll show how Data Stream can provide you with real-time visibility into your app performance. We'll cover real-time data feeds, real-time aggregated performance stats from DataStream, real-time data governance, and show you how to access raw and aggregated performance data using APIs.

Technologie

© AKAMAI - EDGE 2017
Care about having Real-time Middle Mile visibility in your CDN
behavior?
Sr. Product Manager
Manish Kumar

© AKAMAI - EDGE 2017
Akamai CDN is a to me

© AKAMAI - EDGE 2017
“When it comes to understanding how my CDN
impacts user experience, I’m totally blind!”

© AKAMAI - EDGE 2017
What we are hearing from customers
Need/pain How We Solve? Key Features
I want access to data in real-time to know
the health of my CDN
Making data available within less than
10secs
Real-time access to data
I want to have access to aggregated data
on CDN performance.
aggregation of data over a defined time
period access through API’s
Aggregated Data
I want to access Data on Demand, I do
not want to maintain endpoint.
Making Data Available using PULL -
API’s
PULL API’s
I want to stream limited fields from the
logs. I do not need the complete logs
Granular control over data fields Data Governance
I want to send data to multiple
destinations
Support for multiple endpoints Multiple Endpoint Definition

© AKAMAI - EDGE 2017
Introducing DataStream – Middle Mile Visibility
• Our answer for unified real-time:
• Aggregate metrics
• Log delivery
• Push and Pull APIs
• Ability to customize and tune the stream and dataset
• Data Retention
Q2 Q1 - 2018Q3 Q4Beta Edge 2017

© AKAMAI - EDGE 2017
1. Real-time access to data feeds – Low Latency
• Access to data within 10 secs of event occurrence.
• Need to react proactively to any potential outage impacting end users experience.
2. Measure the CDN behavior in Real-time – Visibility into Middle Mile
• Aggregated Data to measure basic usage, performance, errors to be proactive
3. Rise of the DevOps
• Measure the recent deployment impact on Performance
• Quickly determine of Config deployments are acceptable or not?
4. Seamless access to data using Push & Pull API.
• Aggregated & RAW data access using Pull or Push API’s
• Access to last 24hrs data using Pull API’s
5. Data Governance
• Better control over the log fields, stream what you want!
DataStream Features

© AKAMAI - EDGE 2017
Interested in hearing more?
Dev Zone - Booth 2 - Reporting & Monitoring
Sign Up for DataStream Beta!

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Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

When you’re building (micro)services, you have lots of framework options. Spring Boot is no doubt a popular choice. But there’s more! Take Quarkus, a framework that’s considered the rising star for Kubernetes-native Java. It always depends on what's best for your situation, but how to choose the best solution if you're comparing 2 frameworks? Both Spring Boot and Quarkus have their positives and negatives. Let us compare the two by live coding a couple of common use cases in Spring Boot and Quarkus. After this talk, you’ll be ready to get started with Quarkus yourself, and know when to select Quarkus or Spring Boot.

Spring Boot vs Quarkus the ultimate battle - DevoxxUK

Jago de Vreede

Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

Introduction to Multilingual Retrieval Augmented Generation (RAG)

Zilliz

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Victor Rentea

Exploring Multimodal Embeddings with Milvus

Zilliz

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...

Orbitshub

Architecting Cloud Native Applications

WSO2

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Exploring Multimodal Embeddings with Milvus

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Architecting Cloud Native Applications

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Getting Real-Time Middle-Mile Visibility in Your CDN Behavior with DataStream

1. © AKAMAI - EDGE 2017 Care about having Real-time Middle Mile visibility in your CDN behavior? Sr. Product Manager Manish Kumar

4. © AKAMAI - EDGE 2017 What we are hearing from customers Need/pain How We Solve? Key Features I want access to data in real-time to know the health of my CDN Making data available within less than 10secs Real-time access to data I want to have access to aggregated data on CDN performance. aggregation of data over a defined time period access through API’s Aggregated Data I want to access Data on Demand, I do not want to maintain endpoint. Making Data Available using PULL - API’s PULL API’s I want to stream limited fields from the logs. I do not need the complete logs Granular control over data fields Data Governance I want to send data to multiple destinations Support for multiple endpoints Multiple Endpoint Definition

5. © AKAMAI - EDGE 2017 Introducing DataStream – Middle Mile Visibility • Our answer for unified real-time: • Aggregate metrics • Log delivery • Push and Pull APIs • Ability to customize and tune the stream and dataset • Data Retention Q2 Q1 - 2018Q3 Q4Beta Edge 2017

6. © AKAMAI - EDGE 2017 1. Real-time access to data feeds – Low Latency • Access to data within 10 secs of event occurrence. • Need to react proactively to any potential outage impacting end users experience. 2. Measure the CDN behavior in Real-time – Visibility into Middle Mile • Aggregated Data to measure basic usage, performance, errors to be proactive 3. Rise of the DevOps • Measure the recent deployment impact on Performance • Quickly determine of Config deployments are acceptable or not? 4. Seamless access to data using Push & Pull API. • Aggregated & RAW data access using Pull or Push API’s • Access to last 24hrs data using Pull API’s 5. Data Governance • Better control over the log fields, stream what you want! DataStream Features

8. © AKAMAI - EDGE 2017 Interested in hearing more? Dev Zone - Booth 2 - Reporting & Monitoring Sign Up for DataStream Beta!

Getting Real-Time Middle-Mile Visibility in Your CDN Behavior with DataStream

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