Xebia

JANUARY 19, 2023

Understand the cultural foundations of Agile, DevOps, and DataOps. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data. A data engineer should: Know how to communicate with non-technical and technical people.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

TechCrunch

MARCH 29, 2022

Founders : Alphas Sinja, Boya’s chief executive officer, has over eight years of experience in the banking and finance sectors. Robert Nyangate is the company’s CTO. “Essentially, just like Redis is to key-value storage, and GitLab is to DevOps, Convoy is to webhooks,” it says.

.Net 228

.Net CTO Banking Fintech 228

Xebia

JUNE 7, 2022

The DevOps movement is still growing and growing; the mantra “You build it, you run it” really works for building better software. A Kubernetes deployment can be defined as a yaml declaration describing which containers, storage volumes, and ports should be created, as well as the number of replicas.

Azure 130

Azure Microservices Serverless Applications 130

CircleCI

JANUARY 24, 2022

In this episode of The Confident Commit, CircleCI CTO Rob Zuber talks with Lightstep CEO Ben Sigelman about how observability connects with delivering change with confidence. Facilitating observability is one of DevOps’ critical aspects, because it enables monitoring applications and systems in real time. What is observability?

Software Development 52

Software Development Software Development Metrics 52

Lacework

SEPTEMBER 18, 2023

Based on my experience, defining measurable goals quarterly and having monthly reviews with the cross-functional leadership team is the right cadence for many organizations." — Olga Lagunova, Chief Technology Officer, GoTo Implement/refine the trouble ticketing system. Ask what they care about.

Security 83

Security Software Review CTO Systems Review 83

Honeycomb

JULY 8, 2021

This amount of flakiness led to huge problems when it came to the DevOps practice of continuous integration (CI) , where developers frequently integrate code into a central repository. . Those same limitations also applied to CI infrastructure, which was originally built by the CTO and a handful of early Slack employees.

CTO Coach 115

CTO Coach Testing Continuous Integration Infrastructure 115

Tenable

NOVEMBER 29, 2022

In a previous blog post, Tenable CTO Glen Pendley detailed three key takeaways all infosec leaders should consider about the shared responsibility model to ensure organizations are meeting their security obligations as a part of the model. Source : Tenable, November 2022.

Applications 52

Applications Cloud Software Review Systems Review 52

ParkMyCloud

JULY 9, 2019

On our first day as Turbonomic employees, our team had some great discussions with CTO Charles Crouchman about Turbonomic, ParkMyCloud, and the market for infrastructure automation tools. The first is a DevOps approach.

Infrastructure 71

Infrastructure Tools Hardware Cloud 71

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Codegiant

APRIL 10, 2020

Also, Github limits the repository storage to 500 MB per repository while GitLab caps the storage out at 10GB per repository. DevOps Lifecycle GitLab definitely stands in front of Github when it comes to handling your entire DevOps lifecycle. Overall, GitLab still wins the game when it comes to free private repositories.

Software Review 84

Software Review Weak Development Team SDLC Open Source 84

d2iq

FEBRUARY 19, 2021

While there is a large infrastructure component that can often be handled by DevOps or platform engineers, the challenges unique to machine learning mean in practice that they need to have a solid background in modelling too. CTO: With 100,000 products in our catalogue and many of them seasonal, we cannot rely on manual curation.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

OverOps

SEPTEMBER 9, 2019

This post was written in collaboration with Artem Danielov, CTO of FlashGrid. We have no data from the recent outage because our event capture system was down just like the system it was supposed to monitor” is not something an enterprise DevOps lead wants to hear from a vendor.

AWS 35

AWS Analysis Storage Enterprise 35

OverOps

APRIL 6, 2020

. “As more organizations leverage containers to build modern applications, traditional methods of maintaining software reliability are no longer sufficient,” said Tal Weiss, CTO and co-founder of OverOps. OverOps provides a better way to handle complexity in both cloud-native and on-premises applications.

Microservices 40

Microservices Nonprofit Linux Cloud 40

CTOvision

AUGUST 25, 2014

The deployment architecture needs to ensure that the data is in a secure location and that the application’s server-side systems are as close to the data storage as possible to help eliminate as much back-end latency as possible.

Mobile 105

Mobile Development Systems Review Technical Review 105

Blue Sentry

MAY 17, 2021

What types of technology fuel ML? Here are 5 things every CEO and CTO should understand about machine learning and AI. It’s an amazing technology, but it seems purpose-built for future problems — not today’s pesky woes. Here’s the great thing: you can use AWS for both storage and data mining.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

O'Reilly Media - Ideas

JUNE 22, 2022

There’s no standardized naming system, so a programming lead at one company might be an architect or even a CTO at another. We were able to group them into some significant clusters by looking for people whose write-in title used the words “engineer,” “programmer,” “developer,” “architect,” “consultant,” or “DevOps.”

Survey 133

Survey Cloud Google Cloud Training 133

O'Reilly Media - Ideas

DECEMBER 7, 2021

1 ), software engineer (3.9%), CTO (3.0%), software developer (3.0%), and architect (2.3%). We were surprised by the number of respondents who had the title CTO or CEO. Nobody listed CDO or chief data officer as a title. Nevertheless, the top five job titles were developer (4.9% 21% are architects or technical leads.

Cloud 138

Cloud eCommerce Azure Google Cloud 138

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 21

Architecture Data Center Software Review Storage 21

LaunchDarkly

JANUARY 7, 2020

At the November Test in Production Meetup in San Francisco, Larry Lancaster, Founder and CTO at Zebrium, spoke about the benefits of using machine learning to organize and detect patterns in unstructured log data. One of the companies that I used to work at was kind of enterprise storage and there everything was tested.

Machine Learning 10

Machine Learning Artificial Inteligence Weak Development Team Data 10

Codegiant

JUNE 18, 2020

Experienced, especially DevOps, teams though, wouldn’t have problems navigating through Jira’s UI. Andreas Pettersson, CTO at Onsiter.com and Right People Group. It boasts tons of incredible features such as to-do lists, message boards, schedules, documents & file storage, and group chat.

Project Management 52

Project Management Agile Software Review UI/UX 52