Scalegrid

NOVEMBER 25, 2019

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. We’ve heard a lot about this rising database from the DBA community and our users, and decided to become a sponsor for this years Scylla Summit to learn more about the deployment trends from its users. Google Cloud.

Big Data 187

Big Data Database Open Source Azure 187

Scalegrid

APRIL 2, 2019

PostgreSQL is an open source relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines.

Database 185

Database Cloud Open Source Azure 185

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Dynatrace news. Engineers often choose best-of-breed services from multiple sources to create a single application.

Serverless 246

Serverless Azure Lambda AWS 246

High Scalability

JUNE 27, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy?

Open Source 196

Open Source Database Cloud Strategy 196

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Services scale to meet demand. Pay Per Use.

Serverless 246

Serverless Efficiency Lambda AWS 246

Dynatrace

JANUARY 16, 2023

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Java, Go, and Node.js

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

SEPTEMBER 17, 2019

AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 170

AWS Monitoring Ecommerce Lambda 170

Dynatrace

JULY 15, 2024

These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email. You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events.

Infrastructure 278

Infrastructure Network Azure Monitoring 278

Dynatrace

JUNE 29, 2022

Amazon Web Services (AWS) Outpost : This offering provides pre-configured hardware and software for customers to run native AWS computing, networking, and services on-premises in a cloud-native manner. What are the benefits of a hybrid cloud?

Infrastructure 246

Infrastructure Cloud Azure AWS 246

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. DigitalOcean Advantages for MongoDB.

Azure 187

Azure AWS Database Latency 187

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. PostgreSQL popularity is skyrocketing in the enterprise space.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

MARCH 8, 2022

In addition to existing support for AWS Lambda , this expansion includes Microsoft Azure Functions, Google Cloud Functions, as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers.

Code 246

Code Software Software Serverless 246

Dynatrace

JANUARY 14, 2022

To illustrate how Akamas approach works for Kubernetes microservices applications the webinar, the example of Google Online Boutique is used during the webinar. JVM, databases, middleware, operating system, cloud instances, etc) by also taking advantage of Dynatrace full-stack observability. below 500ms) and error rates (e.g.

Latency 246

Latency Tuning Efficiency AWS 246

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. All log streams from pods in Kubernetes environments.

Cloud 264

Cloud Azure Analytics Open Source 264

High Scalability

APRIL 3, 2019

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines.

Database 177

Database Cloud Open Source Systems 177

Dynatrace

JUNE 8, 2022

Added AWS Lambda Functions tracing for.NET. Added deeper insight into IBM DB2 database calls by fetching the full SQL statements from the DB2 catalog. Linux: Google Container-Optimized OS 85 LTS. Linux: Google Container-Optimized OS 81 LTS. Added support for OpenTelemetry 0.0.9. Serverless. Linux: CentOS 8.x.

Java 236

Java Operating System Lambda Serverless 236

Dynatrace

JULY 7, 2022

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms.

Architecture 246

Architecture Serverless Azure Programming 246

Scalegrid

SEPTEMBER 10, 2024

Here’s what you need to know: AWS Outposts & Philadelphia Local Zone Support Our customers asked, and we listened. We’re proud to introduce AWS Outposts support, allowing you to manage cloud infrastructure on-premises while maintaining full AWS integration. Stay tuned for more exciting updates in the months to come! <p>The

Latency 130

Latency AWS Storage Tuning 130

Percona

MARCH 1, 2023

Quarter-over-quarter growth is no longer hitting 30% gains for AWS, Google, and Microsoft. In this blog post, we will see how running databases on Kubernetes with Percona Operators can reduce your cloud bill when compared to using AWS RDS. For example: Your production database should be running in a clustered mode.

Cloud 144

Cloud Storage AWS Database 144

Percona

JANUARY 24, 2023

Databases on Kubernetes continue their rising trend. AWS EBS Snapshots). Point-in-time recovery Point-in-time recovery (PITR) allows you to reduce your Point Recovery Objective by restoring or rolling back the database to a specific transaction or time. For example, the AWS EBS snapshot is priced at $0.05/GB,

Database 97

Database Storage Open Source Cloud 97

Dynatrace

OCTOBER 2, 2024

This includes logs collected from your organization’s Hypervisors, Linux and Windows servers, cloud-native logs from Azure, AWS, GCP, or Oracle, alongside the networking signals from Cisco, Juniper, NetScaler, or F5 appliances—to name a few examples.

Azure 244

Azure DevOps Infrastructure Cloud 244

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

Percona

APRIL 20, 2023

TDE is a database encryption technique that encrypts data at the column or table level, as opposed to full-disk encryption (FDE), which encrypts the entire database. This will instruct Container Storage Interface (CSI) to provision encrypted storage volume on your block storage (AWS EBS, GCP Persistent Disk, Ceph, etc.).

Storage 143

Storage AWS Cloud Database 143

Dynatrace

NOVEMBER 23, 2020

When using managed environments like Google Kubernetes Engine (GKE) , Amazon Elastic Kubernetes (EKS) , or Azure Kubernetes Service it’s easy to spin up a new cluster. Traces represent causally related distributed events on a distributed system, showing, for example, how a request flows from the user to the database. Conclusion.

Virtualization 237

Virtualization Infrastructure Monitoring Cloud 237

High Scalability

JUNE 29, 2018

kellabyte : LOL at racking up an AWS bill of $140,000 in 4 hours of compute time. kellabyte : Recently I got to work on a project that really stressed Amazon AWS scalability. We spun up a cluster of 100,000 AWS instances multiple times. Google applies bulk discounts after the fact, AWS makes you ask for them ahead of time.

Internet 131

Internet Internet Scalability Wireless 131

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. Database & functional migration. Step 4: Smart Database Migration. Which applications and services are depending on a database that might be impacted by a migration?

Cloud 38

Cloud Traffic Database Network 38

Dynatrace

NOVEMBER 27, 2020

Getting specific metrics from libraries that are pre-instrumented with OpenTelemetry (for example, database drivers). For demonstrating the annotation of OpenTelemetry custom metrics with useful semantics, we’ve set up a shopping cart microservice example using serverless technologies on AWS. Sergey Kanzhelev (Google).

Metrics 214

Metrics Open Source Lambda Serverless 214

Adrian Cockcroft

FEBRUARY 9, 2023

The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2. Above that there’s a deployment platform such as Kubernetes or AWS Lambda. The introduction of containers brought everyone a similar but lighter weight mechanism.

Engineering 136

Engineering Serverless Lambda AWS 136

The Netflix TechBlog

OCTOBER 27, 2020

The processed data is typically stored as data warehouse tables in AWS S3. One namespace in a Key-Value DAL contains as many key-value data as required, it is the equivalent to a table in a database. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns.

Latency 252

Latency Storage Big Data Tuning 252

High Scalability

DECEMBER 21, 2018

2) Cloud will decentralise in terms of provision not power i.e. Amazon will "invade" more of those holdouts with AWS Outpost. Whether it’s database or message queues it’s a really weird combo of licenses and features for hostage. And if you know someone with hearing problems they might find Live CC useful.

Internet 137

Internet Internet Scalability Serverless 137

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS.

AWS 52

AWS Database Serverless Storage 52

Scalegrid

APRIL 5, 2024

Grasping the concept of Redis sharding is essential for expanding your Redis database. This method involves splitting data over various nodes to improve the database’s efficiency. Redis isn’t alone in utilizing sharding strategies — it’s a common concept found throughout database technologies to distribute workload efficiently.

Scalability 130

Scalability Java Efficiency Database 130

High Scalability

AUGUST 3, 2018

Paco Nathan : Frankly, I’d feel a lot more comfortable sending my kids off to school in a self-driving bus if the machine learning models hadn’t been trained solely by Google’s proprietary data. Alok Pathak : While both (Multi-AZ and Read replica) maintain a copy of database but they are different in nature.

Internet 113

Internet Internet Scalability Blockchain 113

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. In this way, intelligent automation is a game-changer in the cloud computing landscape.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

O'Reilly

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.

DevOps 145

DevOps Software Engineering Open Source Infrastructure 145