Honeycomb

NOVEMBER 25, 2024

With over 100 microservices and extensive third-party dependencies—such as live game data feeds or partner content ingestion—a single failure in an upstream service often triggered a cascade of alerts across multiple systems. This approach also helped us enforce a no-logs policy and significantly reduce logging storage costs ,” said Bruno.

Continuous Delivery 59

Continuous Delivery Metrics Engineering Fractional CTO 59

O'Reilly Media - Ideas

SEPTEMBER 9, 2019

Kubernetes allows DevOps teams to automate container provisioning, networking, load balancing, security, and scaling across a cluster, says Sébastien Goasguen in his Kubernetes Fundamentals training course. Containers became a solution for addressing these issues and for deploying applications in a distributed manner. Efficiency.

Load Balancer 67

Load Balancer Microservices DevOps Infrastructure 67

Coveros

AUGUST 31, 2021

Are you trying to shift from a monolithic system to a widely distributed, scalable, and highly available microservices architecture? ” Here’s how our teams assembled Kubernetes, Docker, Helm, and Jenkins to help produce secure, reliable, and highly available microservices. The Microservices Design Challenge.

Microservices 52

Microservices DevOps How To Weak Development Team 52

CircleCI

MARCH 22, 2021

For instance, it may need to scale in terms of offered features, or it may need to scale in terms of processing or storage. But at some point it becomes impossible to add more processing power, bigger attached storage, faster networking, or additional memory. Scaling data storage. Scaling file storage. Automate first.

Applications 59

Applications Load Balancer Software Review Storage 59

O'Reilly Media - Ideas

DECEMBER 21, 2018

Amazon Web Services AWS: AWS Fundamentals — Richard Jones walks you through six hours of video instruction on AWS with coverage on cloud computing and available AWS services and provides a guided hands-on look at using services such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), and more.

AWS 69

AWS Resources Lambda Serverless 69

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. The platform separates compute and storage by default, allowing flexible scaling to meet varied workload demands more efficiently. What is cloud native exactly?

Cloud 64

Cloud Data Load Balancer Storage 64

Altexsoft

MARCH 25, 2021

They use numbers, not field names, to save storage. Which is especially valuable when working with microservices. You might notice that many of these conditions apply to one specific use case — microservices. Microservices with gRPC. They can also embed documentation in the schema. We will touch upon it a bit later.

Microservices 75

Microservices Weak Development Team Comparison Load Balancer 75

Confluent

FEBRUARY 13, 2019

Do I need to use a microservices framework? Distributed object (RPC sync), service-oriented architecture (SOA), enterprise service bus (ESB), event-driven architecture (EDA), reactive programming to microservices and now FaaS have each built on the learnings of the previous. Do I need to use a microservices framework?

Architecture 92

Architecture Programming Microservices Serverless 92

Exadel

MARCH 10, 2020

Consul is a popular “infra tool” that can be used as a distributed key-value storage, as well as a service discovery feature that includes back end storing IPs, ports, health info, and metadata about discovered services. The main benefit of Consul, as opposed to microservices architecture, is that microservices architecture is quite complex.

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Perficient

JULY 20, 2023

Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. Microservices and Containerization: Refactoring monolithic applications into microservices and deploying them using containerization (e.g.,

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Kentik

FEBRUARY 20, 2023

For example, a particular microservice might be hosted on AWS for better serverless performance but sends sampled data to a larger Azure data lake. This might include caches, load balancers, service meshes, SD-WANs, or any other cloud networking component. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Confluent

OCTOBER 10, 2019

Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. Apache Kafka is an event streaming platform that combines messaging, storage, and processing of data to build highly scalable, reliable, secure, and real-time infrastructure. Long-term storage and buffering. High throughput. Large scale.

IoT 20

IoT Internet Weak Development Team Scalability 20

Kentik

MARCH 6, 2019

As the complexity of microservice applications continues to grow, it’s becoming extremely difficult to track and manage interactions between services. The data plane basically touches every data packet in the system to make sure things like service discovery, health checking, routing, load balancing, and authentication/authorization work.

Network 63

Network Microservices .Net Load Balancer 63

Netflix Tech

DECEMBER 14, 2018

Integration with other Netflix Systems In the Netflix microservices environment, different business applications serve as the system of record for different media assets. Conductor helps us achieve a high degree of service availability and data consistency across different storage backends.

Media 96

Media Systems Review Storage Performance 96

Palo Alto Networks

JUNE 4, 2019

It can now detect risks and provide auto-remediation across ten core Google Cloud Platform (GCP) services, such as Compute Engine, Google Kubernetes Engine (GKE), and Cloud Storage. Prisma Public Cloud is also integrated with GCP’s Security Baseline API alpha , which provides visibility into the compliance posture of Google Cloud platform.

Google Cloud 59

Google Cloud Network Cloud Load Balancer 59

Blue Sentry

MAY 17, 2021

In fact, you can use hyperscale clusters with +4,000 GPUs, Petabit-scale networking, and insanely low-latency storage. Here’s the great thing: you can use AWS for both storage and data mining. Now you have to manage your avalanche of microservices to enable those machine learning workflows you’ve always dreamed about.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

Exadel

DECEMBER 19, 2019

They make Consul, which serves as a DevOps tool that provides service discovery, health checks, load balancing, and key/value storage. It’s open source, but it’s also available in a paid enterprise version. Using Consul.

DevOps 10

DevOps Load Balancer Open Source Data Center 10

O'Reilly Media - Ideas

AUGUST 20, 2024

Applications have grown more complex too: we now have fleets of microservices operating asynchronously across hundreds or thousands of cloud instances. Can operations staff take care of complex issues like load balancing, business continuity, and failover, which the applications developers use through a set of well-designed abstractions?

Engineering 140

Engineering Software Review Weak Development Team Software Development 140

CircleCI

JANUARY 24, 2022

For example, if a microservice is not behaving as expected, having visibility into its underlying metrics allows for a quick diagnosis and a fix for the problem. At its simplest, it can be as easy as outputting data about the state of a system to storage media such as standard output or a database. Conclusion.

Software Development 52

Software Development Software Development Metrics 52

Kentik

FEBRUARY 7, 2023

This might mean a complete transition to cloud-based services and infrastructure or isolating an IT or business domain in a microservice, like data backups or auth, and establishing proof-of-concept. Either way, it’s a step that forces teams to deal with new data, network problems, and potential latency.

Network 59

Network Cloud Data Data Center 59

Mobilunity

DECEMBER 19, 2024

Overprovisioning of resources distribution of more compute, storage, or bandwidth than required boosts costs. Automation of tasks like scaling resources, managing idle instances, and adjusting storage tiers allows businesses to achieve significant resource optimization, minimizing manual intervention in cloud management.

Budget 52

Budget AWS Strategy Cloud 52

Kentik

MARCH 13, 2018

Architected to scale up smoothly in order to accommodate increasing demand, these massive data centers are based on modular designs that allow operators to easily add compute, memory, storage and networking resources as needed. Which services or microservices are being accessed? How is traffic flowing to other data centers?

Data Center 40

Data Center Artificial Inteligence Data Load Balancer 40

Palo Alto Networks

NOVEMBER 12, 2019

It can now detect risks and provide auto-remediation across ten core Google Cloud Platform (GCP) services, such as Compute Engine, Google Kubernetes Engine (GKE), and Cloud Storage. Prisma Cloud is also integrated with GCP’s Security Baseline API (in alpha), which provides visibility into the compliance posture of Google Cloud platform.

Google Cloud 8

Google Cloud Cloud Firewall Load Balancer 8

Palo Alto Networks

JUNE 4, 2019

It can now detect risks and provide auto-remediation across ten core Google Cloud Platform (GCP) services, such as Compute Engine, Google Kubernetes Engine (GKE), and Cloud Storage. Prisma Public Cloud is also integrated with GCP’s Security Baseline API alpha , which provides visibility into the compliance posture of Google Cloud platform.

Google Cloud 40

Google Cloud Network Cloud Load Balancer 40

Datavail

JANUARY 23, 2024

These include various instance types, networking tools, database solutions, and storage selections. Implementing these principles involves utilizing microservices, containerization, and serverless computing. AWS offers various storage and compute choices, such as Amazon EC2 instances, Amazon S3, and Amazon EBS.

AWS 55

AWS Disaster Recovery Scalability Resources 55

Openxcell

JULY 25, 2023

Contemporary web applications often leverage a dynamic ecosystem of cutting-edge databases comprising load balancers, content delivery systems, and caching layers. 2) Microservices Microservices architecture represents the architectural style that structures the code in loosely coupled and autonomous services.

Architecture 52

Architecture Applications UI/UX Software Review 52

Bernd Rucker

AUGUST 18, 2017

Kubernetes does all the dirty details about machines, resilience, auto-scaling, load-balancing and so on. Typical examples of serverless functions are: You drop some binary file on a storage (S3, Azure Blob Storage, …) which triggers a function (e.g. video transcoding) and stores the result on another storage.

Serverless 40

Serverless Cloud Azure AWS 40

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. designing secure networks, creating hybrid, cloud-native, microservices, and serverless architectures , delivering infrastructure as code, deploying Oracle databases, migrating on-premises resources to the Oracle cloud, and.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

LogicMonitor

NOVEMBER 16, 2018

Nowadays a user’s experience is likely to be dependent on a variety of microservices and applications, distributed among public cloud and private data center environments. There are the obvious cases, like unattached storage volumes that are still being paid for. Overprovisioned storage or compute. on that service as a whole.

Metrics 40

Metrics Systems Review Storage Data Center 40

Daniel Bryant

NOVEMBER 25, 2019

Back in Austin in 2017 there were a lot of vendors offering storage, networking, and security components for Kubernetes. This includes technologies like an OSI layer 3–7 load balancer, web application firewall (WAF), edge cache, reverse proxies, API gateway, and developer portal.

Cloud 10

Cloud IoT Conference Network 10

Instaclustr

OCTOBER 14, 2019

They have developed a Storage API that supports Put, Get, GetRange, MultiGet, BatchMutate, and Delete in front of Cassandra, for multiple different client languages and applications. I was intrigued to hear they have developed a pluggable high-performance storage engine for Cassandra, using RocksDB, and appropriately named “Rocksandra”.

Technical Review 36

Technical Review Technology Report Open Source 36

Altexsoft

DECEMBER 14, 2022

Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines. Then deploy the containers and load balance them to see the performance. That’s why applications that are designed to run as a set of discrete microservices benefit the most from containers.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Instaclustr

OCTOBER 14, 2019

They have developed a Storage API which supports Put, Get, GetRange, MultiGet, BatchMutate, and Delete in front of Cassandra, for multiple different client languages and applications. I was intrigued to hear they have developed a pluggable high-performance storage engine for Cassandra, using RocksDB, and appropriately named “Rocksandra”.

Technical Review 28

Technical Review Technology Report Open Source 28

The Citus Data

DECEMBER 11, 2021

TB of memory, and 24 TB of storage. The Citus coordinator node has 64 vCores, 256 GB of memory, and 1 TB of storage.). The team decided to migrate to Citus gradually, integrating different microservices at different times. Why Postgres? Why Postgres?

Azure 99

Azure Open Source Software Review Analytics 99