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As software pipelines evolve, so do the demands on binary and artifact storage systems. While solutions like Nexus, JFrog Artifactory, and other package managers have served well, they are increasingly showing limitations in scalability, security, flexibility, and vendor lock-in.
As a developer, engineer, or architect, finding the right storage solution that seamlessly integrates with your infrastructure while providing the necessary scalability, security, and performance can be a daunting task. Scalability and Flexibility One of the key strengths of StoneFly's offerings is its exceptional scalability.
Therefore, they need an environment that offers scalable computing, storage, and networking. That’s where hyperconverged infrastructure, or HCI, comes in. What is hyperconverged infrastructure? For organizations managing a hybrid cloud infrastructure , HCI has become a go-to strategy.
Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.
Enhancing data separation by partitioning each customer’s data on the storage level and encrypting it with a unique encryption key adds an additional layer of protection against unauthorized data access. Such infrastructures must implement additional controls to securely separate each customer’s data.
Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.
IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Dynatrace news.
At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.
One of the promises of container orchestration platforms is to make i t easier for the developers to accelerate the deployment of their app lication s without having to worry about scalability and infrastructure dependencies. Need help getting started? Monitor your Kubernetes clusters with Dynatrace .
This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability.
The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.
Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Infrastructure as a service (IaaS) handles compute, storage, and network resources.
It must be said that this video traffic phenomenon primarily owes itself to modernizations in the scalability of streaming infrastructure, which simply weren’t present fifteen years ago.
Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. IaC enables treating infrastructure setups as version-controlled code, allowing for automated provisioning, deployment, and configuration management.
FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. After that, the post gets added to the feed of all the followers in the columnar data storage. System Components. Fetching User Feed. Streaming Data Model.
A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.
With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.
Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. We accomplish this by paving the path to: Accessing and processing media data (e.g.
Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead.
Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices. Dynatrace supports scalable data ingestion, ensuring your observability infrastructure grows with your cloud environment. The dashboard tracks a histogram chart of total storage utilized with logs daily.
Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.
Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.
The Key-Value Abstraction offers a flexible, scalable solution for storing and accessing structured key-value data, while the Data Gateway Platform provides essential infrastructure for protecting, configuring, and deploying the data tier.
These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? Development teams use GitOps to specify their infrastructure requirements in code. Known as infrastructure as code (IaC), it can build out infrastructure automatically to scale.
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.
The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Easy scalability. Enterprises can deploy containers faster, as there’s no need to test infrastructure or build clusters. million in 2020. Process portability. CaaS vs. PaaS. CaaS vs. IaaS.
This decoupling simplifies system architecture and supports scalability in distributed environments. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Scalability and Redundancy Both Kafka and RabbitMQ are built for scalability and redundancy but take different approaches.
Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.
Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. The KV data can be visualized at a high level, as shown in the diagram below, where three records are shown.
With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. They enable IT teams to identify and address the precise cause of application and infrastructure issues.
Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.
Infrastructure type In most cases, legacy SIEM tools are on-premises. Security analytics must also contend with the multicomponent architecture of modern IT infrastructure. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse. How do companies reliably find, review, and analyze this data?
Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? s storageinfrastructure. Comments ().
GKE Autopilot empowers organizations to invest in creating elegant digital experiences for their customers in lieu of expensive infrastructure management. Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting.
It's HighScalability time: Have a very scalable Xmas everyone! kellabyte : “Open source” infrastructure companies are a giant s**t show right now. See you in the New Year. Do you like this sort of Stuff? Please support me on Patreon. I'd really appreciate it. Still looking for that perfect xmas gift? Don't be late.
Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. How does container orchestration work? And organizations use Kubernetes to run on an increasing array of workloads.
The IT infrastructure and services will reach $35.98 To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. billion by 2025.
AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. As a result, AI observability supports cloud FinOps efforts by identifying how AI adoption spikes costs because of increased usage of storage and compute resources.
Increasing an organization’s DevOps maturity is a key goal as teams adopt more cloud-native technologies, which simultaneously makes their environments more scalable and feature-rich but also more complex. Indexless means teams have rapid access to data without the storage cost and resources needed to maintain massive indexes.
Werner Vogels weblog on building scalable and robust distributed systems. Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Comments ().
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. Most infrastructure and applications generate logs. What is log management? Log management brings together log monitoring and log analysis.
However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. Eventually Consistent : This category needs accurate and durable counts, and is willing to tolerate a slight delay in accuracy and a slightly higher infrastructure cost as a trade-off.
Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. Amazon EC2.
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