Linux Academy

JANUARY 29, 2019

Sure, you might have dedicated storage and database servers, but the various components of the application itself were tied into a single deployable object. With microservice architecture, the application is broken down into separate pieces —microservices— that update and deploy independently.

Microservices 60

Microservices Linux Architecture Resources 60

Netflix Tech

FEBRUARY 14, 2025

The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table. We accomplish this by gathering detailed column-level metrics that offer insights into the state and quality of each impression.

Systems Review 66

Systems Review Technical Review Data Metrics 66

Honeycomb

JANUARY 24, 2024

Observability has three pillars: metrics, logs, and traces.” But logs are expensive and everybody wants dashboards… so we buy a metrics tool. We start unbundling the monolith into microservices, and pretty soon we can’t understand anything without traces… so we buy a tracing tool. Logs, metrics, traces, APM, RUM.

Tools 143

Tools Metrics Software Review Engineering 143

Honeycomb

NOVEMBER 25, 2024

Honeycomb’s SLOs allow teams to define, measure, and manage reliability based on real user impact, rather than relying on traditional system metrics like CPU or memory usage. Instead, they consolidate logs, metrics, and traces into a unified workflow. For OneFootball, this shift was transformative.

Continuous Delivery 59

Continuous Delivery Metrics Engineering Fractional CTO 59

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. That means scaling horizontally, which involves a complex distributed system with a custom microservice architecture. And that leads us to metrics. Workers are processes that run on our storage nodes. A local min?

Metrics 40

Metrics Microservices Linux Architecture 40

Netflix Tech

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics.

Metrics 118

Metrics Systems Review Storage Weak Development Team 118

Xebia

DECEMBER 9, 2023

Underlying technology of Chaos Studio for Azure Kubernetes Service is the opens source platform Chaos Mesh We started with deploying a microservice application on to AKS. When you inject chaos in to your infrastructure, you quickly come to realize that you need metrics. Without metrics, you are blind.

Innovation 130

Innovation Azure Microservices IoT 130

Netflix Tech

OCTOBER 19, 2020

Distributed Tracing: the missing context in troubleshooting services at scale Prior to Edgar, our engineers had to sift through a mountain of metadata and logs pulled from various Netflix microservices in order to understand a specific streaming failure experienced by any of our members. Trace Instrumentation: how will it impact our service?

Infrastructure 95

Infrastructure Microservices Systems Review Storage 95

CloudGeometry

MARCH 3, 2022

Billing events and unit metrics The variable cost model of cloud platforms has forever changed how compute resources are bought and paid for and consumed. This is known as a unit metric. The key economic touchstone in monetization is settling on a unit metric driven by value from the customer’s perspective.

Metrics 130

Metrics Architecture Cloud Strategy 130

Mobilunity

DECEMBER 26, 2024

Decompose these into quantifiable KPIs to direct the project, utilizing metrics like migration duration, savings on costs, and enhancements in performance. critical, frequently accessed, archived) to optimize cloud storage costs and performance. lowering costs, enhancing scalability). Want to hire qualified devs? How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

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

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

CircleCI

MAY 21, 2020

microservices, event streaming, modular monolith) Domain Driven Development (DDD) and Event Storming are very useful in determining the boundaries of deployment units. Illustration 2: Software environment metrics. The illustration above gives some metrics and techniques that can provide feedback at that level.

Architecture 122

Architecture Weak Development Team Metrics Culture 122

CloudGeometry

APRIL 25, 2022

They will want to know if you can give them access to changes in your APIs to validate that your enhancements don’t have downstream effects Well factored changes: Microservice architectures can build confidence that there are fewer unforeseen dependencies in your release train. They are more committed and dependent on you.

Enterprise 130

Enterprise Software Review Technical Review Disaster Recovery 130

Linux Academy

MAY 2, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 84

AWS Linux Storage Lambda 84

Honeycomb

SEPTEMBER 23, 2021

You can derive metrics, logs and traces from arbitrarily-wide structured events (which o11y is defined by). You can still get insight into the internal state of systems from their external data even if those are just metrics or logs. A closely related view is that observability has three pillars: metrics, logs and traces.

Metrics 123

Metrics DevOps System Microservices 123

Netflix Tech

MAY 4, 2023

The backend for the streaming product utilizes a highly distributed microservices architecture; hence these migrations also happen at different points of the service call graph. Provides a platform to ensure that relevant operational insights , metrics, logging, and alerting are in place before migration.

Comparison 138

Comparison Testing Metrics Analysis 138

CIO

NOVEMBER 29, 2023

If you choose not to use a cloud provider’s native services in order to remain agnostic, you lose many of the ‘better, cheaper, faster’ business case metrics,” says Holcombe. First, what services, such as microservices or serverless, are available from the cloud service providers to facilitate migration?

Cloud 187

Cloud Technical Review Software Review Systems Review 187

Kentik

JANUARY 31, 2023

Network monitoring tools use various techniques for data gathering, including polling, collecting metrics from network devices, and scraping traffic logs. This data may include performance metrics and resource usage of the devices, as well as the applications and services running on them. Next, observability doesn’t come cheap.

Network 105

Network Analysis Data Center Metrics 105

The Citus Data

SEPTEMBER 22, 2023

My Microsoft colleague Melanie Plageman added a new view called pg_stat_io to PostgreSQL 16, which shows essential I/O metrics for in-depth examination of I/O access patterns. With the added PG16 support in Citus, you can inspect these monitoring metrics from the coordinator for all the nodes in your distributed cluster. With Citus 12.1

Load Balancer 135

Load Balancer Azure Testing Microservices 135

CloudGeometry

FEBRUARY 7, 2022

Additional Isolation Options – Supplementary isolation approaches focused on compute and data Storage considerations. Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. This allows shared services such as logging, object storage, user onboarding, etc.,

Architecture 130

Architecture Policies Resources Construction 130

Altexsoft

OCTOBER 27, 2020

In a microservice architecture , dozens of containers will be interconnected making up the app. It suggests using YAML or JSON as a declarative language to input configurations through Amazon S3 as an object storage. It’s well-built for microservice architecture supporting multi-dimensional data collection. AWS Cloudformation.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

Abhishek Tiwari

JANUARY 6, 2018

It automatically builds logical topologies of your application and infrastructure which enable your SRE and Ops team to intuitively understand, monitor, and control your containerized, microservices based application. The backup files are stored in an object storage service (e.g. Amazon S3).

Open Source 111

Open Source Tools Disaster Recovery Backup 111

AWS Machine Learning - AI

FEBRUARY 1, 2024

Ingesting from these sources is different from the typical data sources like log data in an Amazon Simple Storage Service (Amazon S3) bucket or structured data from a relational database. Use a microservices approach to isolate other components from these less mature frameworks.

Generative AI 124

Generative AI Disaster Recovery Artificial Inteligence AWS 124

Cloudera

JUNE 16, 2022

Application integration and microservices: Real-time integration use cases required applications to have the ability to subscribe to these streams and integrate with downstream systems in real-time. As Kafka became the standard for the streaming storage substrate within the enterprise, the onset of Kafka blindness began.

Data 88

Data Disaster Recovery Analytics Microservices 88

Honeycomb

MARCH 28, 2023

The Twelve-Factor App methodology is a go-to guide for people building microservices. More specifically, “ A twelve-factor app never concerns itself with routing or storage of its output stream.” These signals are known as logs, traces, and metrics. What is factor 11? ” The intent here is very clear.

Systems Review 64

Systems Review Software Review Metrics Microservices 64

Hu's Place - HitachiVantara

JANUARY 10, 2019

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. A REST API is built directly into our VSP storage controllers. REST stands for “representational state transfer.”

Data Center 73

Data Center Strategy Data Storage 73

OverOps

JANUARY 30, 2019

Instead, we have complex, distributed systems with microservices and cloud computing solutions and continuous deployments. As the code runs, it communicates with remote assets like the database, firewall, storage, etc. We don’t have any visibility into our remote servers, and code is being deployed weekly or even daily.

Analysis 124

Analysis Weak Development Team How To Infrastructure 124

Datavail

JUNE 9, 2020

Oracle services such as Oracle Database Cloud and OCI Object Storage. Microservices. Microservices is a trendy development architecture that separates the different components of an application into multiple connected services. Microsoft Azure services such as Azure SQL Database and Azure HDInsight. NoSQL databases. Conclusion.

Innovation 59

Innovation Microservices Azure Big Data 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. Docker Deep Dive In this course we will cover Docker 18.09.4, Build images using a Dockerfile.

Linux 104

Linux AWS Azure Technical Review 104

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. Consul is quite flexible and the monitoring system has numerous metrics. What is Consul? The Big Takeaway.

DevOps 52

DevOps Microservices Load Balancer Architecture 52

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 97

Media Systems Review Storage Performance 97

Linux Academy

MAY 1, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 60

AWS Linux Storage Lambda 60

Linux Academy

MAY 1, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 60

AWS Linux Storage Lambda 60

Perficient

MARCH 13, 2023

We like the seamless integration with native hyperscaler services like storage and node pools for easy autoscaling, zone awareness for HA, networking and RBAC security with IAM or AAD. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics. solutions which are more barebones.

Serverless 83

Serverless Azure Metrics AWS 83

Altexsoft

FEBRUARY 11, 2020

It features dynamic dashboards for tracking metrics of cases, recording response progress, and automating response tasks. MozDef is a set of microservices that you can use in combination with Elasticsearch as a SIEM. MozDef includes automation functionalities for incident handling, metrics, information sharing, and response workflows.

Tools 109

Tools Linux Analysis Open Source 109

Perficient

JULY 20, 2023

One of the most important design decisions when configuring autoscaling is selecting the right metrics to use for the scaling rules – each system is unique, and while some applications may require heavy compute, others may need more memory or storage to operate efficiently. Docker) allows for better resource utilization.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52