Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient.

Strategy 227

Strategy Artificial Intelligence Storage Cloud 227

DZone

JUNE 15, 2023

However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states. Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

OCTOBER 30, 2023

Everything as code: GitOps as the standard Observability as code is used to programmatically define observability and security. Incorporating unified observability and security as code defines ownership, automatically creates service-level objectives (SLOs) , and routes problems for speedy mean time to repair.

Engineering 250

Engineering DevOps Innovation Storage 250

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. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Better-quality code. Cold storage and rehydration. Cold storage and rehydration. Inadequate context.

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). Enhanced code-level visibility. The majority of costs are associated with data querying.

Retail 242

Retail Storage Best Practices Architecture 242

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " A tenant should not be able to see the code or data of other tenants (isolation).

Serverless 99

Serverless Storage Latency Cloud 99

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

OCTOBER 4, 2022

where an error occurred at the code level. In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead. This can vastly reduce an organization’s storage costs and improve data efficiency.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Grail is built for such analytics, not storage.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

NOVEMBER 28, 2023

Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production. To illustrate this concept, consider the scenario below.

Traffic 266

Traffic Best Practices Strategy Engineering 266

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Better-quality code. Cold storage and rehydration. Cold storage and rehydration. Inadequate context.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

JUNE 6, 2023

Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. With the ability to monitor resource utilization metrics such as CPU and memory in real time, teams can optimize their operations, resulting in reduced cost and greater overall efficiency. Automated scaling. Self-healing.

Open Source 198

Open Source Storage Analytics Innovation 198

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. Development teams use GitOps to specify their infrastructure requirements in code.

DevOps 230

DevOps Infrastructure Speed Cloud 230

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 286

Serverless AWS Lambda Storage 286

Dynatrace

OCTOBER 14, 2022

To further enrich log data for automated observability, it’s necessary to dynamically tie logs to distributed traces on the code level, user sessions in the app front-end, and the topology of your IT landscape. It’s delivered in three parts: New log storage configuration is available in Dynatrace version 1.252 and requires OneAgent 1.243+.

Storage 232

Storage Government Network Infrastructure 232

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Analytics 196

Analytics Software Software Storage 196

Scalegrid

NOVEMBER 29, 2023

As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. Then, all you need is a simple API or low-code application to communicate with databases without worrying about the database itself. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems.

Azure 230

Azure Cloud Metrics Innovation 230

Scalegrid

DECEMBER 28, 2023

How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. Pagination is an important factor to consider in MongoDB as it allows for the efficient organization of big datasets. The next() method then progresses through this set for efficient retrieval.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. million in 2020. The classes of CaaS. CaaS vs. PaaS. CaaS vs. IaaS.

Serverless 221

Serverless Azure Hardware Transportation 221

Dynatrace

JANUARY 31, 2024

OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. OpenPipeline extracts data with context and transforms it into more efficient formats, for example, logs to metrics. Such transformations can reduce storage costs by 99%.

Analytics 198

Analytics Processing Transportation Storage 198

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 206

Infrastructure Monitoring Virtualization Serverless 206

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. Additionally, its modern architecture delivers cost-effective storage and compute. Indeed, according to one report, more than 50% of U.S.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance. ” The post OpenShift vs.

Open Source 212

Open Source Social Media Infrastructure Operating System 212

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

High Scalability

SEPTEMBER 8, 2018

Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. The issue is that Anna is now orders of magnitude more efficient than competing systems, in addition to being orders of magnitude faster. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

Dynatrace

JANUARY 11, 2023

These integrations often require resource-intensive coding, which makes them error-prone and difficult to maintain. High storage costs. To analyze long-term trends using traditional methods, teams must rehydrate data that resides in “cold data storage” (older data that is no longer accessible for daily operations).

Analytics 194

Analytics Strategy Storage Technology 194

Scalegrid

JANUARY 9, 2024

Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor. This process involves converting regular data into a coded form, which helps to protect its privacy and guard against cyber threats.

Strategy 130

Strategy Cloud Best Practices Government 130

Smashing Magazine

NOVEMBER 2, 2021

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Cost-Efficient And Effort-Saving Development. One of the reasons for that is because a PWA has the same code base. Alex Husar. 2021-11-02T12:00:00+00:00. 2021-11-02T17:37:55+00:00.

Code 74

Code Cache Retail Mobile 74

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. What is Bulldozer Bulldozer is a self-serve data platform that moves data efficiently from data warehouse tables to key-value stores in batches. Figure 1 shows how we use Bulldozer to move data at Netflix.

Latency 243

Latency Storage Big Data Tuning 243