Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. What are Some Common SRE Responsibilities?

Engineering 67

Engineering DevOps Monitoring Google 67

Testsigma

JULY 25, 2020

Continuous Testing is the testing strategy to fast-track the testing required for achieving rapid software development using Agile and DevOps methodologies. For example, when a code is integrated into the centralized source code repository, unit tests should be automatically executed followed by integration tests. Introduction.

Testing 55

Testing DevOps Performance Testing Infrastructure 55

The Morning Paper

FEBRUARY 18, 2020

Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. Throughout the paper, this emerging class of applications are referred to as EGML apps: Enterprise Grade Machine Learning. And there’s going to be a lot of them! It is built on top of Apache Calcite.

Government 95

Government Software Engineering Storage Database 95

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Likewise, refactoring and rewriting code takes a lot of time and effort.

Architecture 227

Architecture Artificial Intelligence Cloud Open Source 227

Scalegrid

DECEMBER 6, 2023

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. Thereby streamlining their database infrastructure without any major complications or stress accompanying doing the same effectively resulting in fewer worries when setting out sail onboard!

Database 130

Database Cloud Hardware Storage 130

Percona

OCTOBER 18, 2023

You can tailor the database to meet your precise requirements by modifying the source code, adding extensions, or customizing configurations. Strategy: Choosing your path Having a strategy for your migration will make the move to open source go that much smoother. Should I be bringing in external experts to help out?

Open Source 93

Open Source Database Strategy Hardware 93

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 111

Open Source Google Artificial Intelligence Infrastructure 111

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. It uses many possible geo-location attributes extracted from device fingerprint including country, state, city, zip-code, latitude, and longitude.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

APRIL 30, 2021

That’s tremendous, especially when you see four of the six hours were introduced by customer code,” said Auer. First, he pointed to the infrastructure monitoring capabilities as critical to understanding the impact of hardware failures. More still, very little of that downtime was related to the SAP cloud platform.

Retail 240

Retail Cloud Monitoring Hardware 240

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Metrics can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 109

Availability Database Open Source Hardware 109

O'Reilly

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” Plus there was all of the infrastructure to push data into the cluster in the first place. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work.

Hardware 101

Hardware Storage Big Data Blockchain 101

Alex Podelko

SEPTEMBER 8, 2020

In this time, I learned a lot, but the price for this was to have to deal with random infrastructure issues and unhelpful support from HP. The tool looked young but promising, and I was looking for a change and a challenge, which is why I joined them along with Quentin to develop the business plan/strategy.

Open Source 223

Open Source Performance Testing Testing Performance 223

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Applications are packaged into a single, lightweight container with their dependencies, typically including the application’s code, customizations, libraries, and runtime environment.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

Tech News Gather

AUGUST 25, 2022

Not just that, many top brands that have used Flutter for their app development are now trending in the market, and are loved by audiences for the app’s smooth interface and authentic native-like infrastructure. Write clear and understandable code. Optimize the code for end users to make it more accessible and preferable to them.

Development 52

Development Hardware Mobile Open Source 52

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., On-premise BI tools also require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year.

Cloud 133

Cloud Big Data AWS Analytics 133

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. “ Preventing side-channel attacks between VMs hosted on public cloud infrastructure. There are two strategies for this: some classes of resource (e.g.

Hardware 44

Hardware Cache Latency Speed 44

SQL Server According to Bob

DECEMBER 18, 2018

Before all was said and done, all of these people and more helped with various activities: · Eugene, Mike, Slava, Scott, Peter, Steve and others doing code reviews on my SQL Server and Host Extension changes. · Red Hat, SUSE, HPE, Intel helping and confirming Linux behaviors and making file system code changes. Device Flush.

Servers 90

Servers Media Cache Storage 90

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Next you record what effect you expect your mitigation strategy to have, which should drop its RPN and then let you focus on the new highest RPN, until there aren’t any high values left. This is followed by some common code related failure modes.

Latency 52

Latency Engineering Systems Hardware 52

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Next you record what effect you expect your mitigation strategy to have, which should drop its RPN and then let you focus on the new highest RPN, until there aren’t any high values left. This is followed by some common code related failure modes.

Latency 53

Latency Engineering Systems Hardware 53

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. So, which cloud infrastructure is right for you? 2019 Top Databases Used.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dynatrace

AUGUST 5, 2019

For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure. There is no code or configuration change necessary to capture data and detect existing services. If you want to read up on migration strategies check out my blog on 6-R Migration Strategies.

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. Teams with this support are free to set performance budgets, do “bakeoffs” between competing approaches, and invest in performance infrastructure. Performance budgets keep everyone on the same. Execute the script.

Performance 72

Performance Benchmarking Network Mobile 72

The Agile Manager

JUNE 23, 2007

This might be a data centre where hardware uptime is guaranteed to process transactions, a timesheeting capability that is available on-demand, or development of a custom application to analyse asset backed securities. Software development capacity, IT infrastructure, and software as a service are all examples of risk assumption.

Technology 40

Technology Technology Energy Innovation 40

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? Performance Budgets, Pragmatically shows you a strategy to achieve that. Large preview ).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Coding is the easiest part of the lifecycle but its maintenance like deployment/operations/learning curve will be hard if you have too many technologies.

Architecture 52

Architecture Cache Azure Storage 52