The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? It is advantageous in the cloud to shut down compute resources when they are not being used, but there is then a query latency cost. VLDB’19.

Architecture 76

Architecture Cloud Storage Serverless 76

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. It exports any pre-instrumented metrics for JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization as well as custom metrics to the Dynatrace Metrics API v2. of Micrometer.

Metrics 200

Metrics Latency Java Cache 200

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 240

AWS Efficiency Azure Cloud 240

The Morning Paper

JUNE 20, 2019

What bugs cause production cloud incidents? Last time out we looked at SLOs for cloud platforms , today we’re looking at what causes them to be broken! Microsoft is also using fuzz testing, cloud contract checking, and network configuration verification tools. At the same time, cloud software goes through frequent updates.

Cloud 81

Cloud Azure Cache C++ 81

All Things Distributed

AUGUST 22, 2011

Expanding the Cloud - Introducing Amazon ElastiCache. Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier. Comments ().

Cloud 117

Cloud Cache AWS Storage 117

Brendan Gregg

SEPTEMBER 5, 2021

Monitoring I started with the cloud-wide monitoring tool, [Atlas], to check high-level CPU metrics. I was surprised to find a whopping 38% of CPU time was in sys, which is highly unusual for cloud workloads at my employer. Just for illustration, this shows the Vector UI and a typical cloud flame graph. Ahh, it makes sense now.

Cache 145

Cache Cloud Java Tuning 145

DZone

MAY 19, 2019

Even if my application runs in the cloud on the JVM, despite all of those software layers abstracting away the underlying hardware, the volatile keyword is still needed due to the cache of the processor that my software runs on. The Volatile Keyword and the Cache of Modern Processors.

Cache 136

Cache Hardware Architecture Cloud 136

The Netflix TechBlog

JUNE 4, 2019

When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance. However, the key insight here is that these caches are partially shared among the CPUs, which means that perfect performance isolation of co-hosted containers is not possible.

Cache 251

Cache Latency Airlines Logistics 251

All Things Distributed

JUNE 20, 2017

Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing). AWS Partner Network (APN) Consulting Partners in Hong Kong help customers migrate to the cloud.

AWS 146

AWS Logistics Cloud Social Media 146

Dynatrace

MARCH 22, 2023

In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services.

Open Source 190

Open Source Artificial Intelligence Internet Internet 190

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. It exports any pre-instrumented metrics for JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization as well as custom metrics to the Dynatrace Metrics API v2. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. It exports any pre-instrumented metrics for JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization as well as custom metrics to the Dynatrace Metrics API v2. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

Scalegrid

MARCH 23, 2020

Once authentication succeeds, it checks if it already has a cached connection for this database+user combination. Once the client disconnects, Pgpool-II has to decide whether to cache the connection: If it has an empty slot, it caches it. If it does, it returns the connection to the client.

Cache 264

Cache Servers Architecture Processing 264

High Scalability

JANUARY 11, 2022

We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. We will use a cache having an LRU based eviction policy for caching user feeds of active users. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

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

The Morning Paper

NOVEMBER 19, 2019

Local-first software: you own your data, in spite of the cloud Kleppmann et al., On the one-hand we have ‘cloud apps’ which make it easy to access our work from multiple devices and to collaborate online with others (e.g. The primary issue with cloud apps (the SaaS model) is ownership of the data. I’m all in :).

Cloud 83

Cloud Software Software Internet 83

The Netflix TechBlog

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. video titles, descriptions) could be aggressively cached and reused across multiple requests.

Latency 233

Latency Cache Java Traffic 233

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.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Brendan Gregg

APRIL 14, 2022

I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive [work culture]. I could help not only Netflix but all customers of the cloud. Netflix has been the best job of my career so far, and I'll miss my colleagues and the culture. offer letter logo (2014). flame graphs (2014). eBPF tools (2014-2019).

Java 145

Java Cloud Cache AWS 145

Brendan Gregg

AUGUST 29, 2021

A cloud-wide monitoring tool, Atlas, showed a high rate of paging for the larger file uploads: The blue is pageins (page ins). Reads usually have apps waiting on them; writes may not (write-back caching). total used free shared buff/cache available Mem: 64414 15421 349 5 48643 48409 Swap: 0 0 0. Counting cache functions.

Cache 105

Cache C++ AWS Latency 105

The Netflix TechBlog

NOVEMBER 3, 2022

by Tomasz Bak and Fabio Kung Introduction Titus is the Netflix cloud container runtime that runs and manages containers at scale. We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe.

Cache 224

Cache Latency Traffic Systems 224

All Things Distributed

NOVEMBER 26, 2013

Availability Zones have since become the foundational elements for AWS customers to create a new generation of highly available distributed applications in the cloud that are designed to be fault tolerant from the get go.

Cloud 145

Cloud AWS Traffic Latency 145

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Berger (Microsoft) shared the state of memory systems in the public cloud and projected two use cases of CXL-based disaggregated memories in the cloud ( IEEE Micro and ASPLOS’23 ).

Latency 52

Latency Hardware Cache Architecture 52

Scalegrid

OCTOBER 2, 2019

This management solution for Redis™ allows startups up to enterprise-level organizations automate their Redis™ operations on Microsoft Azure dedicated cloud servers, alongside their other open source database deployments, including MongoDB , MySQL and PostgreSQL. PALO ALTO, Calif.,

Azure 100

Azure Availability Open Source Virtualization 100

All Things Distributed

DECEMBER 5, 2010

Expanding the Cloud with DNS - Introducing Amazon Route 53. There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. All Things Distributed. Comments ().

Cloud 117

Cloud Internet Internet AWS 117

Dynatrace

OCTOBER 15, 2021

As a Cloud Native Computing Foundation (CNCF) incubating project, OTel aims to provide unified sets of vendor-agnostic libraries and APIs — mainly for collecting data and transferring it somewhere. This occurs once data is safely stored within a local cache. Monitoring begins here. Read eBook now!

Open Source 212

Open Source Metrics Cloud Transportation 212

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Scalegrid

OCTOBER 2, 2019

This Redis management solution allows startups up to enterprise-level organizations automate their Redis operations on Microsoft Azure dedicated cloud servers, alongside their other open source database deployments, including MongoDB , MySQL and PostgreSQL. Redis Cloud Gets Easier with Fully Managed Hosting on Microsoft Azure Click To Tweet.

Azure 37

Azure Cloud Open Source Virtualization 37

Percona

DECEMBER 23, 2022

I wanted most of the memory to be available for the file cache, where the compressed SST files will be cached. The block cache just needs to be large enough to keep the index and filter blocks in memory. As the filesystem cache and the block cache warms up, the TPC-C transaction rates rise from 50 to around 175/s.

Storage 55

Storage Cache C++ Virtualization 55

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

The Netflix TechBlog

NOVEMBER 15, 2022

Without cloud-based rendering, this ambitious project would not have met its targeted delivery date! Over the last four months, cloud-based rendering has accounted for over 50% of all frames rendered for the show, and has given the VFX vendor the ability to consistently deliver 4K UHD EXRs.”?

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hybrid and multi-cloud platform –. Migrating to the cloud. Dynatrace news. Do I need more than Azure Monitor?

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

MAY 17, 2023

But as more workloads are shifting to hundreds of separate cloud-based services running in containers across multiple platforms, observability has become exponentially more difficult. That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags.

Metrics 174

Metrics Open Source Traffic Cache 174

High Scalability

OCTOBER 3, 2019

This Redis management solution allows startups up to enterprise-level organizations automate their Redis operations on Microsoft Azure dedicated cloud servers, alongside their other open source database deployments, including MongoDB , MySQL and PostgreSQL.

Azure 23

Azure Cloud Open Source Cache 23

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 52

Performance Latency Cache Virtualization 52