Openxcell

OCTOBER 20, 2023

Cloud security protects applications, data, and resources from probable risks of cyber threats and vulnerabilities. Cloud security protects applications, data, and resources from probable risks of cyber threats and vulnerabilities. Enterprises are switching to cloud security practices for protecting their data and infrastructure.

Cloud 52

Cloud Systems Review Software Review Technical Review 52

Altexsoft

JULY 4, 2022

It’s hard to answer those questions in a few words, so we’ve written an article to explain everything in detail. The article promoted the idea of a new type of system administrator who would write code to automate maintenance, upgrades, and other tasks instead of doing everything manually. How is it possible?

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

OTS Solutions

JUNE 21, 2023

In this article, we will explore the importance of security and compliance in enterprise applications development and offer guidelines, best practices, and key features to ensure their protection. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

Compliance 130

Compliance Enterprise Applications Software Review 130

Kentik

NOVEMBER 7, 2018

The Need for Visibility in the Cloud. The cloud is science, not magic. By now, we should all appreciate that cloud providers take away the huge overhead of building, maintaining, and upgrading physical infrastructure, and allow organizations to better focus on their own core competencies. are facing a huge visibility challenge.

Cloud 53

Cloud Azure AWS Google Cloud 53

Honeycomb

MARCH 5, 2024

As a mature standard, it provides a portable and vendor-neutral way to send telemetry signals (traces, metrics, and logs) to your provider of choice. In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. Add your Honeycomb environment’s API key to AWS Secrets Manager. Why Python?

Lambda 52

Lambda AWS Data Serverless 52

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Architecture. The Replication Manager support matrix is documented in our public docs. Runtime 7.2.8.

Cloud 68

Cloud Data Policies Disaster Recovery 68

Altexsoft

OCTOBER 24, 2022

CloudOps is a methodology that takes DevOps to the cloud. It involves delivering, optimizing, and tuning workloads and IT services running across various environments, such as hybrid cloud, multi-cloud, on-premise data center, and at the edge. CloudOps relies on analytics to achieve visibility into cloud environments.

Organization 40

Organization Disaster Recovery DevOps Artificial Inteligence 40

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse.

Data 98

Data Technical Review Storage Systems Review 98

Bernd Rucker

JUNE 23, 2020

How to understand your choreography using process events monitoring Enterprises that use event-driven microservices often suffer from a lack of visibility into processes that cross the boundary of one individual microservice. In this blog post I will introduce process events monitoring as possible remedy.

Microservices 52

Microservices Architecture Retail Examples 52

CircleCI

JULY 18, 2022

One emerging challenge that developers and IT leaders face is the need to stay compliant with regulations and control frameworks that stipulate comprehensive data security, incident response, and monitoring and reporting requirements. Compliance requirements can add significant overhead to an organization.

Compliance 52

Compliance Software Review Software Policies 52

Exadel

APRIL 13, 2021

There are data analysis tools like Pandas, modeling libraries like Scikit Learn, TensorFlow, and PyTorch, deployment and monitoring solutions like MLflow and Seldon, and even cloud platforms like Azure ML or Sagemaker. Difficulties of running Python in production. That is where ML.NET can help. ML.NET overview. TensorFlow integration.

Machine Learning 119

Machine Learning Artificial Inteligence Microservices Training 119

Kentik

JULY 24, 2018

It’s no secret that the migration of applications from traditional data centers to cloud infrastructure is well underway. And it’s tempting to think that “the network” is just one of the many infrastructure management headaches that disappear after migrating to the cloud. Fortunately, that situation is now changing for the better.

Google Cloud 45

Google Cloud Cloud Data Center Internet 45

Altexsoft

JUNE 18, 2020

But in this article we’ll be talking primarily about LIMS in healthcare. monitoring : scheduling and tracking the sample. On receiving a sample, a lab worker logs it in along with the customer data. Their story began in 1982 when laboratories were introduced to first centralized minicomputers with automated reporting tools.

Systems Review 69

Systems Review System Open Source Pharmaceuticals 69

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. You can reduce risk by addressing these eight common cloud security vulnerabilities and misconfigurations.

Applications 52

Applications Cloud Software Review Systems Review 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

CircleCI

MAY 18, 2021

Another big benefit is that serverless computing fits well into both traditional and microservice architectures. Almost every big cloud computing service provider has their own version of serverless offerings. Firebase Cloud Functions by Google, Azure Functions. A few examples are: Serverless by AWS. Tenant id is tenant.

Azure 52

Azure Serverless Storage Groups 52

CIO

SEPTEMBER 26, 2023

No matter what your newsfeed may be, it’s likely peppered with articles about the wonders of artificial intelligence. The pairing of AI/ML with IT telemetry and other monitoring and management functions, known as AIOps, has a projected market size of about $2.1 And rightly so. That just about covers all the bases.

Artificial Inteligence 335

Artificial Inteligence Artificial Intelligence Sustainability Systems Administration 335

Altexsoft

JULY 3, 2019

This is a guest article by Brent Whitfield from DCG Technical Solutions Inc. Devices connected to the IoT have been recognized for a long time as a prime target for hackers and once you have read the article to follow, you will appreciate why. Combined with AI and machine learning, smart automation is an exciting prospect.

IoT 98

IoT Enterprise Software Review Technical Review 98

Altexsoft

SEPTEMBER 6, 2023

This is a guest article by Srushti Shah from Middleware.io This blog will navigate through: The essential pillars of serverless security: robust authentication and authorization, ensuring data security and integrity, rigorous monitoring and logging, and safeguarding against brute force attacks. Let’s get started.

Serverless 52

Serverless Applications Cloud AWS 52

Abhishek Tiwari

DECEMBER 27, 2017

portability between cloud and on-premises. support for logging, monitoring, and observability. support for logging, monitoring, and observability. Kubernetes has a massive community support and momentum behind it. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Key challenges.

Big Data 63

Big Data Data Storage Microservices 63

Perficient

DECEMBER 14, 2022

Introduction. In part I of our Kubernetes multi-cluster management series, we’ve talked about the basics of GitOps and explained why you should really consider GitOps as a central tenet of your Kubernetes management strategy. I should mention right off-the-bat that ACM is not limited to RedHat Openshift clusters. Motivation.

Disaster Recovery 119

Disaster Recovery AWS Compliance Policies 119

Cloudera

SEPTEMBER 23, 2022

Modern data lakehouses are typically deployed in the cloud. Cloud computing brings several distinct advantages that are core to the lakehouse value proposition. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. If you missed it, you can read up about it here. PaaS data lakehouses.

Government 104

Government Enterprise Strategy Data 104

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. However, Apache Kafka is more than just messaging.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Xebia

AUGUST 9, 2023

The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in. Machine Learning System Design is the iterative process of defining a software architecture. This blogpost illustrates the steps of the design process.

System Design 130

System Design Systems Review System Machine Learning 130

Honeycomb

JUNE 14, 2022

I hope it helps, especially if you’re passionate about exploring alternative ways you or your team can manage today’s cloud-native applications. Logs – Random stuff from your running app, perhaps structured, exported somewhere. Observability – Monitoring for hipsters. Monitoring – Observability for boomers.

Weak Development Team 98

Weak Development Team Metrics System Tools 98

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. The web is over 30 years old; the Netscape browser appeared in 1994, and it wasn’t the first. 2023 was one of those rare disruptive years.

Trends 114

Trends Technical Review Technology Artificial Inteligence 114

Altexsoft

OCTOBER 27, 2020

Back in 2010, Amazon migrated its servers to the AWS cloud and launched Apollo code deployment platform. In this article, we’ll discuss the categories of tools existing for DevOps and look at instruments for continuous delivery/integration, testing, monitoring, collaboration, code management, and more. DevOps in a nutshell.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. This article explains what streaming analytics are. This article explains what streaming analytics are. So, what has changed?

Analytics 20

Analytics Data IoT Analysis 20

Perficient

MARCH 13, 2023

Introduction Whether you have already adopted Openshift or are considering it, this article will help you increase your ROI and productivity by listing the 12 essential features including with any Openshift subscription. This is where Openshift shines as a platform when compared to pure Kubernetes engine distributions like EKS, AKS, etc.

Serverless 83

Serverless Azure Metrics AWS 83

OverOps

JUNE 11, 2019

Smaller code bases are easier to understand, and with clearly separated services the overall architecture is much “cleaner”. Rather than asking what specialized framework you need to build a new microservices architecture, let’s ask how we can use current frameworks to support the same goal.

Microservices 236

Microservices Architecture Technical Review Development Team Review 236

LaunchDarkly

JANUARY 17, 2019

In episode 729 of Software Engineering Daily, Jeff Meyerson talks with our own Edith Harbaugh, CEO and Co-founder of LaunchDarkly, about feature flagging. Edith shares insights around implementing feature flags, how they can be used to better control product releases, and how they can be used for testing and validation. launch, because that’s 9 a.m.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Cloudera

SEPTEMBER 23, 2022

Modern data lakehouses are typically deployed in the cloud. Cloud computing brings several distinct advantages that are core to the lakehouse value proposition. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. If you missed it, you can read up about it here. PaaS data lakehouses.

Data 52

Data Storage Analytics Budget 52

Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Subscribe: Spotify | iTunes | Stitcher | SoundCloud | TuneIn. Vatsan: Absolutely.

Machine Learning 130

Machine Learning Artificial Inteligence Software Engineering Engineering 130

Xebia

JUNE 7, 2022

Over the years, containerized workloads have become more and more popular, and we see most mature software companies benefit using containers from the cloud to the edge. Because of that, all cloud providers have invested heavily to create ways to run Kubernetes on their clouds. Containers are here to stay.

Azure 130

Azure Microservices Serverless Applications 130

Codegiant

JANUARY 19, 2024

Three key concepts in this context are monitoring, visibility, and Full-stack Observability. Monitoring is the continuous process of collecting and analyzing data to ensure that applications and infrastructure are functioning correctly. Reactive Nature: Monitoring systems are typically reactive.

Metrics 52

Metrics Analysis Software Development Scalability 52

Altexsoft

OCTOBER 21, 2022

In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. We describe information search on the Internet with just one word — ‘google’. We ‘photoshop pictures’ instead of editing them on the computer. And COVID-19 made ‘zoom’ a synonym for a videoconference. What is Kafka? Practically, nothing.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Capgemini

FEBRUARY 3, 2023

‘CAPGEMINI EARTHLINGS ECOPRENEUR’ PLATFORM EMPOWERs EMPLOYEES TOWARDS REACHING NET ZERO GOALS- POWERED BY GOOGLE CLOUD Tamalika Chakraborty/ Shoubhik Ghosh/ Debasish Rakshit 3 Feb 2023 Facebook Twitter Linkedin Capgemini is committed to be carbon neutral for its own operations and be a net zero business by 2030.

Google Cloud 52

Google Cloud .Net KPI Cloud 52