Battery Ventures

MARCH 10, 2021

But there’s an outlier here: software engineering. Despite software engineering being one of the fastest-growing professions—development platform GitHub is adding more than 10 million developers a year, with 56 million total developers now on that platform–software delivery is still more of an art than a science.

Engineering 64

Engineering Data Software Engineering Software Development 64

OverOps

DECEMBER 18, 2018

Some might think that when you go serverless, it means that there’s no need to think about operating or debugging your systems. If you ask Charity Majors , Ops Engineer and CEO at Honeycomb.io, that’s a huge misconception. What can operations and infrastructure developers consider when building their systems to help prevent breaches?

Conference 185

Conference Serverless Weak Development Team DevOps 185

Agile Engine

FEBRUARY 13, 2024

Automated testing addresses these challenges via autonomous execution of test cases through predefined scripts that simulate user actions and evaluate system responses. It is particularly effective for repetitive and time-consuming tasks, allowing QA teams to focus on more strategic aspects of the software development process.

Testing 52

Testing Strategy Software Review How To 52

Honeycomb

JANUARY 13, 2023

In this blog, we unpack how observability fits into the landscape of other modern practices, such as the DevOps, SRE (Site Reliability Engineering), and cloud-native movements. This session also addresses example technologies used to build cloud-native apps, such as containers, service meshes, microservices, and immutable infrastructure.

DevOps 98

DevOps Culture Microservices Engineering 98

Honeycomb

DECEMBER 10, 2020

The widespread adoption of containers, microservices and orchestration have made it easier than ever to take a small bit of software and push it live in front of users — and, in doing so, push a whole bunch of comfortable tasks (debugging, profiling) into uncomfortable territory: production. The Way Forward: A Developer-Friendly Prod.

Weak Development Team 52

Weak Development Team Development DevOps Metrics 52

LaunchDarkly

SEPTEMBER 13, 2018

At our Meetup in July, we focused on testing in production with systems and processes at scale. Matt Duftler, Senior Software Engineer at Google, and Michael Graff, Senior Software Engineer at Netflix, gave a talk about automated canary deployments. “So Netflix has internally a system called ACA.

Analysis 58

Analysis Metrics Performance Microservices 58

OverOps

DECEMBER 18, 2018

Some might think that when you go serverless, it means that there’s no need to think about operating or debugging your systems. If you ask Charity Majors , Ops Engineer and CEO at Honeycomb.io, that’s a huge misconception. What can operations and infrastructure developers consider when building their systems to help prevent breaches?

Conference 100

Conference Serverless Weak Development Team DevOps 100

Apiumhub

MARCH 9, 2023

We contribute a lot to the software development and software architecture communities, and we have identified like-minded companies that focus on working software, deliver great results, and care about community and knowledge sharing. They are a reference in the software development industry.

Software Review 77

Software Review Technical Review Software Software Development 77

Honeycomb

OCTOBER 20, 2021

Observability is succeeding APM because it enables teams to quickly find critical issues in their cloud-native, microservices-based apps. As the world is increasingly digital, the companies that win are those that innovate faster, without sacrificing stability, which is a difficult challenge with today’s complex distributed systems.

Microservices 40

Microservices Engineering Tools Performance 40

Xebia

FEBRUARY 20, 2023

The project involved decommissioning an extensive monolith Scala application into smaller microservices. The team used the Strangler Fig pattern to decommission the legacy system gradually in new Scala and modern microservices running in Kubernetes. We’ll put the focus on Kubernetes and the Java Virtual Machine ( JVM ).

Microservices 130

Microservices Software Review Resources Metrics 130

Altexsoft

JULY 4, 2022

The networking layer is a combination of hardware and software elements and services like protocols and IP addressing that enable communications between computing devices. The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. aligns with the company’s policy and goals.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Bernd Rucker

MAY 27, 2020

Which brings us to microservices. Managing Decentralized Workflow Engines Instead of central platforms I advocate for an approach that every team runs its own engine , especially in a microservices context. This means that with microservices you deliberately accept a wild mix of Camunda installations!

Programming 52

Programming Company Architecture Technical Review 52

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. Software engineers want to instrument their applications… so we buy an APM tool. The front-end engineers point out that they need sessions and browser data… so we buy a RUM tool.

Tools 143

Tools Metrics Software Review Engineering 143

Honeycomb

SEPTEMBER 23, 2021

At the time, it’s what was needed to steer conversations away from silly rabbit holes about data types and back to what matters: how we understand our systems. The pain and suffering that people endure every day because they can’t understand their own damn systems is too real. The pain is real, and the solutions are specific.

Metrics 123

Metrics DevOps System Microservices 123

Honeycomb

FEBRUARY 16, 2024

And, if you’re lucky: How does each piece of software and infrastructure fit together to serve each customer? APM brings this level of metric rigor to applications, recording uptime, requests received, statuses returned, latency, and resource usage for each running process. Time-series metrics become very expensive. What is APM?

Performance 84

Performance Applications Metrics Artificial Inteligence 84

Honeycomb

OCTOBER 11, 2023

In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.

DevOps 111

DevOps Weak Development Team Engineering Metrics 111

AWS Machine Learning - AI

FEBRUARY 1, 2024

The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. The level of parallelism you can achieve may be limited by the source system, so you need to account for throttling and use backoff techniques.

Generative AI 108

Generative AI Disaster Recovery Artificial Inteligence AWS 108

Altexsoft

NOVEMBER 12, 2020

This article explains how DevOps and SRE facilitate building reliable software, where they overlap, how they differ from each other, and when they can efficiently work side by side. It originated in the early 2000s at Google to ensure the health of a large, complex system serving over 100 billion requests per day. Metrics are crucial.

DevOps 96

DevOps Engineering Software Review Weak Development Team 96

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. Dataset propagation At Netflix we use an in-house dataset pub/sub system called Gutenberg. Gutenberg allows for propagating versioned datasets ?—?consumers

Microservices 75

Microservices Weak Development Team Machine Learning Artificial Inteligence 75

O'Reilly Media - Ideas

DECEMBER 6, 2018

Get a basic understanding of distributed systems and then go deeper with recommended resources. These always-on and always-available expectations are handled by distributed systems, which manage the inevitable fluctuations and failures of complex computing behind the scenes. “The Benefits of distributed systems.

Systems Review 86

Systems Review System Technical Review Technical Cofounder 86

Netflix Tech

SEPTEMBER 23, 2019

Niosha Behnam | Demand Engineering @ Netflix At Netflix we prioritize innovation and velocity in pursuit of the best experience for our 150+ million global customers. In the event of an isolated failure we first pre-scale microservices in the healthy regions after which we can shift traffic away from the failing one.

Microservices 76

Microservices Systems Review Metrics Software Review 76

Netflix Tech

FEBRUARY 9, 2021

The whole system was quite complex, and starting to become brittle. The API server orchestrates backend systems to authenticate the user. Upstream systems had to reopen the tokens to identify the user logging in and potentially manage multiple parallel identity data structures, which could easily get out of sync.

Authentication 88

Authentication Systems Review Architecture Microservices 88

LeanEssays

JULY 16, 2015

Other agile methodologies – especially the long lost Extreme Programming – have more to say on these topics, but most agile transformations reserve little time for improving the actual work involved in generating top notch software. Yet without a solid foundation in the technology that produces great systems, agile is pretty hollow.

Agile 69

Agile Software Review Technical Review Microservices 69

Confluent

AUGUST 1, 2019

The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system.

Microservices 20

Microservices Systems Review System Software Review 20

CircleCI

AUGUST 22, 2019

Clojure remains our language of choice, but as we continue to pull microservices from our monolith (over a dozen at this point), we are committed to using the right set of tools for the job and we evaluate that decision for each new service. One pool hosts the systems that run our site, manage jobs, and send notifications. The backend.

Software Review 18

Software Review Technical Review Authentication AWS 18

Apiumhub

OCTOBER 18, 2022

This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. He has been in the software industry since 1983 and has significant experience and expertise in application, integration, and enterprise architecture.

Software Review 52

Software Review Architecture Technical Review Software 52

Altexsoft

MARCH 24, 2021

Healthcare providers, on their side, use existing hospital systems augmented with telehealth functionality. APIs for telehealth software. They enable interoperability or smooth data exchange between health systems and create fertile ground for telehealth app development as they. Follow the links below for more information.

Tools 69

Tools Healthcare Insurance Video 69

CircleCI

MARCH 30, 2022

I designed these tutorials to introduce you to k6 and to show you how to use k6 for performance testing of microservices. Node.js (version >= 10.13) installed on your system. In the tutorial for performance testing with k6, I covered how to output k6 metrics and logs to the cloud for analysis and visibility by your whole team.

Testing 52

Testing Software Review Systems Review Metrics 52

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven? Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Confluent

MARCH 20, 2019

The continuous-refinement-with-operational-parameters model is a very simple and powerful design for a data processing system. However, many data processing applications will eventually produce results into a system outside of Apache Kafka ®. Each time the graph refreshes, it will get the most recent metric values in each window.

Windows 106

Windows Metrics Applications Programming 106

Honeycomb

NOVEMBER 6, 2018

This is a guest post from Salih Kardan, Software Engineer @Thundra and Committer at Apache, formerly SRE @Opsgenie. He specializes in managing AWS services and loves to improve monitoring and observability of systems. We created four honeytail configs: trace, invocation, metric, and log. It was very simple to set up!

Serverless 45

Serverless Lambda AWS Metrics 45

Kentik

DECEMBER 11, 2018

Some concepts and technologies that are usually associated with cloud-native architectures: DevOps - In order to speed up deployments and reduce operational risk, development and operations teams started collaborating more frequently and brought in system automation. Eventually, these Dev and Op teams merged into “DevOps” teams. CI/CD (a.k.a.

Architecture 45

Architecture Network Cloud Microservices 45

Netlify

SEPTEMBER 26, 2021

With events, metrics, logs, and traces, we are able to contextualize and identify performance issues within our plugins, 3rd party APIs, and other parts of our website. Presenter: Kwa Jie Hao, Software Engineer at Open Government Products. Learn more ? . Speeding up Singapore’s COVID-19 response with the Jamstack.

Weak Development Team 59

Weak Development Team Serverless Software Review Apparel 59

Abhishek Tiwari

JULY 20, 2019

Store engineering squad - focus on software and systems required for the storefront including point-of-sales system, promotions, etc. ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. You want to move fast. How is that even possible?

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Netflix Tech

SEPTEMBER 13, 2021

Scaling With Developer Experience Developers in the Netflix streaming world compose the customer-facing Netflix experience out of hundreds of microservices, reachable by complex routing rules. On the Netflix Studio side, in Content Engineering, each team develops distinct products with simpler routing needs.

Development Team Review 88

Development Team Review Authentication Software Review Technical Review 88

LaunchDarkly

JULY 30, 2019

This talk was inspired by an article Michael wrote in 2018, Hypothesis Driven Development for Software Engineers. We log absolutely everything we possibly can, all of the metrics, the exceptions, et cetera. So the load testing one here, one of our new microservices makes a number of calls to get content. TRANSCRIPT.

Testing 94

Testing Development Microservices Engineering 94