Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data. All of these factors challenge DevOps maturity.

DevOps 184

DevOps Analytics Storage Metrics 184

Scalegrid

JANUARY 9, 2024

The Rise of Cloud Adoption in Enterprises The adoption of cloud technology is leading to a shift in the business landscape. The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures.

Strategy 130

Strategy Cloud Best Practices Government 130

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

AUGUST 9, 2023

Unraveling these hidden threats requires a proactive and adaptive approach, leveraging advanced technologies and threat intelligence to uncover vulnerabilities and mitigate potential risks. Log storage and data retention : As regulations grow more stringent, data retention requirements and costs can quickly mount.

Analytics 218

Analytics Metrics Database Storage 218

Dynatrace

DECEMBER 18, 2023

An essential observability engineering tool Prometheus is an open-source telemetry database service that records and stores custom software metrics and provides a standardized interface to pull (in Prometheus terms, “scrape”) data using HTTP requests. To set the stage, let’s have a quick recap of what Prometheus is and what it does.

Metrics 178

Metrics Engineering Energy Tuning 178

The Netflix TechBlog

JUNE 12, 2023

The agent also enables rotation of recovery keys after use, local storage and validation of recovery keys, and other features. The Escrow Buddy repository leverages GitHub Actions to streamline the process of building new codesigned and notarized releases when new changes are merged into the main branch.

Open Source 194

Open Source Database Servers Storage 194

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. of respondents are currently utilizing databases in Kubernetes (k8s). It continues to solidify its position and is anticipated to reach USD 5575.67

Cloud 79

Cloud Open Source Strategy Best Practices 79

O'Reilly Software

JUNE 12, 2018

Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. The rationale was simple: the data I need is already in this other database, and accessing a database is easy, so I’ll just reach in and grab what I need. And data was at the heart of the problem.

Database 72

Database Cache Architecture Latency 72

Dynatrace

SEPTEMBER 30, 2021

As an AWS Advanced Technology Partner , this was a great opportunity for Dynatrace developers to sharpen their AWS skills and pursue or up-level their Amazon certifications. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Machine learning.

AWS 209

AWS Best Practices Analytics Cloud 209

Dynatrace

FEBRUARY 1, 2024

Maintaining optimal application performance is crucial for businesses, and fast databases are vital in achieving this goal. For an effective approach to database performance, it’s crucial to have a comprehensive overview of all databases, including server-side DBs.

Database 184

Database Monitoring Games Metrics 184

Dynatrace

OCTOBER 7, 2020

Seamlessly report and be alerted on non-topology-related custom metrics, using Dynatrace as a metric database. Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Topology and non-topology metrics—what’s the difference?

Metrics 245

Metrics Analytics Storage Monitoring 245

Dynatrace

OCTOBER 15, 2021

These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. In fact, these technologies have become so prevalent that anybody who may not know the full scope of the topic may be afraid to ask.

Open Source 219

Open Source Metrics Cloud Transportation 219

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The technology that can do this is called in-memory computing. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

OCTOBER 15, 2019

Another thread or process is constantly polling events from the log table and writes them to one or multiple datastores, optionally removing events from the log table after acknowledged by all datastores. Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3].

Transportation 192

Transportation Architecture Processing Storage 192

Percona

JANUARY 19, 2023

While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. Compression: Compression is the process of restructuring the data by changing its encoding in order to store it in fewer bytes. ibd -rw-r --. ibd -rw-r --.

Open Source 87

Open Source Storage Database Big Data 87

Adrian Cockcroft

NOVEMBER 26, 2023

Peter deSantis does a Monday evening technology keynote that usually has most of the sustainability related content in it. Yet many companies find it challenging to integrate digital technologies meaningfully into their operations, and they still rely on inefficient processes that generate unnecessary waste. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Scalegrid

DECEMBER 6, 2023

The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Database as a Service (DBaaS) and managed databases offer distinct advantages along with certain challenges.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

JUNE 15, 2020

Dynatrace is uniquely positioned to provide clarity in such cases through our PurePath technology and the ability of OneAgent to correlate user actions with web requests. This means that you get full visibility, all the way from individual user actions down to the specific server-side database statements that contribute to mobile crashes.

Mobile 163

Mobile Servers Operating System Storage 163

Testsigma

DECEMBER 4, 2020

Since the mobile apps have limited storage space and power supply, test for memory utilization as well as battery usage. Native and Hybrid app testing : Although driven by different technologies, native and hybrid apps share similar functionality, and hence, their approach to testing. Step 6: Storage. Protect Local Storage Data.

Mobile 65

Mobile Testing Operating System Storage 65

The Morning Paper

FEBRUARY 18, 2020

The authors of the paper have "extensive experience of using ML technologies in production settings" between them. Models themselves must be subject to scrutiny with their storage and querying/scoring secured and auditable. So by analogy to stored procedures, would we call models stored in the database stored models ?

Government 95

Government Software Engineering Storage Database 95

Scalegrid

MARCH 8, 2024

With MySQL point-in-time recovery , you can restore your database to the moment before the problem occurs. Preparation for PITR is crucial and involves enabling binary logging and creating a full database backup. Through this meticulous process, commits are accurately logged in their respective sequences.

Database 162

Database Strategy Servers Best Practices 162

Percona

OCTOBER 18, 2023

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. It’s a complex process involving various factors and meticulous planning. Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration.

Open Source 91

Open Source Database Hardware Strategy 91

Dynatrace

SEPTEMBER 17, 2019

Their technology stack looks like this: Spring Boot-based Microservices. PostgreSQL & Elastic for data storage. In order to filter these dashboards by tenant all they need is a Dynatrace Management Zone , which is based on meta data extracted by Dynatrace from e.g. k8s tags, container labels or process environment variables.

AWS 127

AWS Monitoring Ecommerce Lambda 127

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Tasktop

JANUARY 9, 2020

Given that most large-scale organizations use at least three main tools in their software delivery toolchains (for development, testing and support), the cost of data extraction and storage begins to stack up and fast. Furthermore, many SaaS vendors purge data periodically to save on storage, limiting your access to historical data.

Software 59

Software Software Metrics Database 59

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

APRIL 5, 2012

Often we think about innovation as doing new things or based on revolutionary new technologies such as DynamoDB, but it is more important to ensure that one can also innovate based on existing paradigms. Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing.

Innovation 146

Innovation AWS Education Network 146

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Job Openings in AWS - Senior Leader in Database Services.

Servers 126

Servers Social Media AWS Website 126

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

VoltDB

JULY 10, 2018

But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. If the data is common between multiple services, the database layer gets extricated out of microservices in favor of the creation of a common shared data layer. Problem solved, right?

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. If the data is common between multiple services, the database layer gets extricated out of microservices in favor of the creation of a common shared data layer. Problem solved, right?

Architecture 40

Architecture Scalability Ecommerce Latency 40

Adrian Cockcroft

JUNE 21, 2022

I also learned a lot about how to work directly with customers, when to shut up and let the sales guy drive the conversation, and generally how technology sales works. We had specializations in hardware, operating systems, databases, graphics, etc. It was the first database sizing guide Sun had ever produced.

Tuning 52

Tuning Benchmarking Engineering C++ 52