Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 168

Cloud Open Source Architecture Monitoring 168

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage. The Serverless Process.

Serverless 239

Serverless Efficiency Lambda Azure 239

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Usage reduction is a continuous process.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. Container as a service is a cloud-based service that allows companies to manage and deploy containers at scale. CaaS automates the processes of hosting, deploying, and managing container technologies.

Serverless 212

Serverless Azure Hardware Transportation 212

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum? Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source 333

Open Source Java Operating System Programming 333

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Microservices fundamentally change a lot of assumptions current cloud systems are designed with, and present both opportunities and challenges when optimizing for quality of service (QoS) and utilization.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

NOVEMBER 22, 2022

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services.

Infrastructure 173

Infrastructure Availability Systems Retail 173

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. So many exciting new areas are being empowered by cloud that it is fascinating to watch. Cloud analytics are everywhere. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. A process that was developed to automate the processes from build creation to deployment and maybe everything in between. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Adrian Cockcroft

JANUARY 17, 2022

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. My talks on Failing Over Without Falling Over are still very relevant, but AWS did finally release a key new service that implements key parts of the architecture: AWS Route 53 Application Recovery Controller.

Serverless 98

Serverless Hardware AWS Architecture 98

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later.

Serverless 228

Serverless Azure Monitoring Lambda 228

All Things Distributed

SEPTEMBER 6, 2013

This spring I travelled through Europe for the AWS Global Summit series. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. .

Cloud 129

Cloud Energy AWS Healthcare 129

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 214

Engineering Entertainment Cloud Infrastructure 214

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. Dynatrace news. This can be your external facing website, internal business applications.

Lambda 174

Lambda Monitoring Cloud DevOps 174

The Morning Paper

MARCH 1, 2020

Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The first version of AWS Lambda was built using Linux containers. All of the existing approaches we just examined involve trade-offs that AWS didn’t want to make.

Serverless 101

Serverless Virtualization Lambda AWS 101

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later.

Serverless 139

Serverless Azure Monitoring Lambda 139

All Things Distributed

JUNE 25, 2015

No experience with speech recognition or natural language understanding is required—Amazon does all the work to hear, understand, and process the customer’s spoken request so you don’t have to. All of the code runs in the cloud — nothing is installed on any user device. AWS Lambda supports code written in Node.js (JavaScript) and Java.

Lambda 166

Lambda Development AWS Innovation 166

Dynatrace

MAY 1, 2020

The investment continues—we’re anticipating an upcoming release of the AWS Graviton2 processor , which has already been announced to be significantly more powerful than its predecessor. We understand the dependencies between the mainframe, data center, and cloud, including all application components and even end-user experience.

Java 132

Java Hardware Tuning Metrics 132

All Things Distributed

JULY 13, 2010

Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Unlocking the benefits of the cloud for the HPC community. By Werner Vogels on 12 July 2010 05:00 PM. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

Adrian Cockcroft

AUGUST 9, 2022

Having worked with something like 70 large and small companies over the past decade, the business processes and best practices have been tested and work well. So right from the beginning, I’m happy to spend some time getting back up to speed and developing some of my ideas around new hardware capabilities.

IoT 52

IoT Best Practices AWS Media 52

Brendan Gregg

SEPTEMBER 25, 2021

What about short-lived processes, like a service restarting in a loop? As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Aftermath I provided details to AWS and Canonical, and then moved onto the other performance issues as part of the migration.

Speed 126

Speed Java AWS Virtualization 126

Brendan Gregg

FEBRUARY 28, 2023

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

All Things Distributed

AUGUST 16, 2012

Both of these are important as they help customer accurately gauge the economic benefits of running their applications in the cloud. The best practices that we are collecting in the AWS Economics Center are there to help our customers get a total view on their IT cost such that they can accurately compare on-premise and cloud.

AWS 118

AWS Hardware Traffic Best Practices 118

The Morning Paper

MARCH 3, 2020

It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. For Physalia, and for AWS more generally, the guiding principle is minimise the blast radius. NSDI’20.

Database 106

Database AWS Network Design 106

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. of its user base represented by organizations currently in the process of migrating to PostgreSQL.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. When code isn’t in use, the cloud providers typically throttle it all the way down.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. The key question we keep getting from our customers is: How can Dynatrace help me reduce risk, move faster and achieve a better business outcome for my cloud migration project?

Cloud 31

Cloud Traffic Database Network 31

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) joins) during query processing. S3 on AWS).

Storage 112

Storage Engineering Cache Serverless 112