Linux Academy

JUNE 25, 2019

We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. AWS Cloud Formation Deep Dive. We will also work through some practical examples like Continuous Integration and Disaster Recovery scenarios. MicroService Applications In Kubernetes.

Linux 60

Linux Course Cloud Google Cloud 60

Stacks on Stacks

DECEMBER 11, 2020

How AWS deploys in waves and what to think about when planning your deployments On day two of #reinvent2020 I watched and tweeted a lot about an awesome talk by @clare_liguori on the AWS Container Services team about hands-off deployments. It’s now available to stream on-demand. Originally published at [link].

Serverless 52

Serverless AWS Metrics Microservices 52

Netflix Tech

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Traces collected from various microservices are ingested in a stream processing manner into the data store. which is difficult when troubleshooting distributed systems.

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

Kentik

JUNE 14, 2023

An engineer standing in front of a console today stares at the traffic moving from their on-prem data center up and out to a CASB, receiving DNS responses from a cloud-provided DNS service, and then on through an ephemeral microservices architecture in a public cloud. And this, of course, is just to reach the front end.

WAN 59

WAN Enterprise Data Center Internet 59

Linux Academy

MAY 28, 2019

To use Docker Compose to deploy Microservices to Docker. Whether you are aggregating log files, system resource utilization metrics, or application data, Splunk is there to centralize your IT data for easy search and visualization. AWS Concepts – This course is for the true beginner. What is AWS? Why do we use AWS?

Linux 104

Linux AWS Azure Technical Review 104

Kentik

JUNE 6, 2023

APIs are complex, particularly if you run lots of microservices. We’ll go over how to glean metrics and enable reporting and alerts, as well as what you need to look for in a monitoring tool in general. You can monitor their status and collect metrics like response time and resource consumption, just to name a few.

Metrics 52

Metrics Testing Policies Linux 52

O'Reilly Media - Ideas

MAY 1, 2019

Fundamentals of Machine Learning with AWS , June 19. Building Machine Learning Models with AWS Sagemaker , June 20. 60 Minutes to Better Product Metrics , July 10. Beginner’s Guide to Writing AWS Lambda Functions in Python , June 28. AWS CloudFormation Deep Dive , June 3-4. AWS Design Fundamentals , June 10-11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Netflix Tech

OCTOBER 15, 2019

For example, XA transactions block execution if the application process fails during the prepare phase; moreover, XA provides no deadlock detection and no support for optimistic concurrency-control schemes. In Netflix the microservice architecture is widely adopted and each microservice typically handles only one type of data.

Data 77

Data Microservices Transportation Systems Review 77

Perficient

FEBRUARY 13, 2024

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. A microservice can locate and connect with other microservices only when it is published on an R&D server.

Microservices 105

Microservices Architecture Load Balancer MVC 105

O'Reilly Media - Ideas

APRIL 3, 2019

60 Minutes to Better Product Metrics , May 9. Learning Python 3 by Example , May 2. Beginner’s Guide to Writing AWS Lambda Functions in Python , May 7. AWS Certified Developer Associate Crash Course , May 1-2. AWS Certified Solutions Architect Associate Crash Course , May 6-7. AWS for Mobile App Developer , May 14.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Modus Create

JUNE 18, 2021

For example: PASTA (Process for Attack Simulation and Threat Analysis) – Perspective of the attacker. Many cloud computing platforms such as AWS have shared best practices for their solutions. For example, DevSecOps is the culture of integrating data security at every stage of the software development lifecycle.

Software Review 52

Software Review Development Team Review Technical Review Systems Review 52

Netflix Tech

JULY 30, 2019

Netflix Conductor: A microservices orchestrator In the last two years since inception, Conductor has seen wide adoption and is instrumental in running numerous core workflows at Netflix. The Netflix Media Database (NMDB) is one such example. Cassandra persistence module is a partial implementation.

Lambda 75

Lambda Weak Development Team Systems Review Metrics 75

ParkMyCloud

MAY 7, 2019

It is no surprise the top cloud providers that are investing in a major way on serverless include AWS, Microsoft Azure, and Google Cloud. AWS Lambda is the current leader among serverless compute implementations. Microservices-based architectures, with small chunks of code working together. Top Serverless Providers.

Serverless 58

Serverless Lambda Google Cloud Azure 58

Xebia

JUNE 7, 2022

Their focus was to build a solution that makes it easier for development teams to build Microservice architecture-based applications and deploy those to Azure. What are the features that development teams want when building and hosting microservices? What features does Azure Container Apps have to offer? 25' 'memory':'.5Gi'

Azure 130

Azure Microservices Serverless Applications 130

Mike Roberts

NOVEMBER 1, 2017

Error Handling This is Part 7 of Learning Lambda, a tutorial series about engineering using AWS Lambda. Since AWS Lambda is a Platform it has certain constraints and behavior when it comes to errors, and in this part we’ll dig into what kind of errors can happen, for which contexts, and how we can handle them.

Lambda 52

Lambda Software Review AWS Metrics 52

Netflix Tech

OCTOBER 18, 2019

For example, one set of experiments is focussed on personalizing our artwork assets to quickly select and leverage the “winning” images for a title we recommend to our members. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Metrics 50

Metrics Policies Infrastructure Architecture 50

Daniel Bryant

JUNE 28, 2018

At last year’s Microservices Virtual Practitioner Summit Matt gave a great talk about the journey and mechanics of deploying Envoy at Lyft , and I was keen to revisit some of the wisdom shared within this talk and see how this relates to the work being undertaken in the open source Ambassador project.

Load Balancer 40

Load Balancer PHP Open Source Architecture 40

Kentik

OCTOBER 12, 2021

When companies started outsourcing the hosting of their websites to the likes of Akamai and AWS, network teams learned quickly that many work- and non-work related applications shared the same IP address. Consider SD-WAN as another example of DoH causing problems. FireFox is already supporting DoH by default.

WAN 84

WAN Technical Review Network Internet 84

Netflix Tech

OCTOBER 18, 2019

For example, one set of experiments is focussed on personalizing our artwork assets to quickly select and leverage the “winning” images for a title we recommend to our members. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Metrics 40

Metrics Policies Infrastructure Architecture 40

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. You’ll be able to build your own Kafka cluster using Linux Academy servers, which will help your understanding and provide you with real-world examples. application and use a Prometheus client library to track metrics across our application.

Course 60

Course DevOps Training Linux 60

Altexsoft

JULY 4, 2022

Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. The companies may also prefer specialists who have proven experience in a particular technology — for example, Microsoft Azure or Hadoop. Examples from LinkedIn. Agile and DevOps methodologies.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Hu's Place - HitachiVantara

JANUARY 10, 2019

I will cover our strategy for utilizing it in our products and provide some example of how it is utilized to enable the Smart Data Center. Hitachi’s developers are reimagining core systems as microservices, building APIs using modern RESTful architectures, and taking advantage of robust, off-the-shelf API management platforms.

Data Center 73

Data Center Strategy Data Storage 73

AWS Machine Learning - AI

FEBRUARY 1, 2024

Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs). This includes native AWS services like Amazon OpenSearch Service and Amazon Aurora. Is your vector database highly available in a single AWS Region? Vector database features built into other services.

Generative AI 104

Generative AI Disaster Recovery Artificial Inteligence AWS 104

Modus Create

APRIL 27, 2020

For example, cart functionality is a meaningful section in a webshop. Some of the business goals were impossible to meet until we migrated some of the APIs to microservices. For example, they might be accessing an old URL. Good examples are AWS Lambda or Cloudflare Workers. Invest in Open Source.

Technical Review 84

Technical Review Software Review Quality Assurance Systems Review 84

Honeycomb

AUGUST 15, 2023

Over the course of a year, Koya’s team was able to get nearly 100% of its platforms (the original monolithic system and a second one that is microservices-based) instrumented and actively sending data to Honeycomb. So Koya reframes the MTTR metric as mean time to diagnosis. worked well with OpenTelemetry (OTel). they go to work.”

Technical Review 98

Technical Review Microservices AWS Compliance 98

Honeycomb

SEPTEMBER 8, 2021

Enterprise customers already have access to Honeycomb Metrics. Existing Free or Pro customers can request an Enterprise trial to try Honeycomb Metrics. Starting today, Honeycomb Metrics is now generally available to all Enterprise customers. But metrics do still provide value at the systems level.

Metrics 52

Metrics Systems Review Software Review Enterprise 52

Perficient

JULY 20, 2023

For example, if your application experiences a surge in traffic during certain hours, you can configure automated rules that proactively scale the infrastructure before the expected spike and scale down afterward, thus optimizing resource allocation and reducing costs during off-peak hours.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

Microservices 75

Microservices Weak Development Team Machine Learning Artificial Inteligence 75

Altexsoft

OCTOBER 27, 2020

Back in 2010, Amazon migrated its servers to the AWS cloud and launched Apollo code deployment platform. Cloud services like Azure and AWS became a standard way for DevOps projects to set the infrastructure. In a microservice architecture , dozens of containers will be interconnected making up the app. AWS Cloudformation.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

Daniel Bryant

MAY 30, 2019

In the enterprise space the bundling was focused on storage, and a good example of this is VMware’s Velero 1.0 On a related topic, many more storage and data management Kubernetes Operators were on display at KubeCon, for example, CockroachDB , ElasticCloud and StorageOS.

Policies 40

Policies Technical Review Cloud Software Review 40

O'Reilly Media - Ideas

MARCH 1, 2023

The signals are often confusing: for example, interest in content about the “big three” cloud providers is slightly down, while interest in content about cloud migration is significantly up. But it’s important to recognize the metric’s shortcomings; as George Box (almost) 1 said, “All metrics are wrong, but some are useful.”

Trends 138

Trends Technical Review Technology Software Review 138

Netflix Tech

SEPTEMBER 23, 2019

This means that our microservices constantly evolve and change, but what doesn’t change is our responsibility to provide a highly available service that delivers 100+ million hours of daily streaming to our subscribers. Two such assumptions were that: Regional demand for all microservices (i.e. requests, messages, connections, etc.)

Microservices 76

Microservices Systems Review Metrics Software Review 76

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. Microservices saw a 20% drop.

Trends 120

Trends Technical Review Technology Artificial Inteligence 120

Netflix Tech

NOVEMBER 9, 2022

By Vadim Filanovsky and Harshad Sane In one of our previous blogposts, A Microscope on Microservices we outlined three broad domains of observability (or “levels of magnification,” as we referred to them)?—?Fleet-wide, Fleet-wide, Microservice and Instance. We decided to move one of our Java microservices?—?let’s

Hardware 145

Hardware Performance Software Review Microservices 145

Modus Create

JUNE 20, 2023

All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. You can think of them as microservices but for UI. For example, suppose a company makes a data reporting platform for enterprises. billion in value.

Trends 98

Trends Development Serverless Technical Review 98

Perficient

MARCH 13, 2023

Openshift Monitoring manages the collection and visualization of internal metrics like resource utilization, which can be leveraged to create alerts and used as the source of data for autoscaling. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics.

Serverless 83

Serverless Azure Metrics AWS 83

Xicom

MARCH 16, 2021

Nowadays, the cliche “serverless architecture” is the latest addition in the technology wordbook, prevailing following the launch of AWS (Amazon Web Services) Lambada in 2014. Taking AWS, as an example, you can create a serverless monolith by using a single AWS Lambda function for the back-end. Are you still confused?

Serverless 59

Serverless Lambda Development Microservices 59