This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As an open-source project, OpenTelemetry sets standards for telemetry data sets and works with a wide range of systems and platforms to collect and export telemetry data to backend systems. Second, it enables efficient and effective correlation and comparison of data between various sources. OpenTelemetry Collector 1.0
Because opensource software (OSS) is taking over the world, optimizing opensource contributions is becoming an essential competitive strategy. However, opensource is not a panacea. Benefits of making opensource contributions There’s no one-size-fits-all approach with OSS.
Ready to transition from a commercial database to opensource, 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? Popular examples of opensource databases include MySQL, PostgreSQL and MongoDB.
A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. Kubernetes is a widely used opensource system for container orchestration. Efficient coordination of resource usage, requests, and allocation is critical.
After a decade of helping companies manage container orchestration, Kubernetes, the opensource container platform, has established itself as a mature enterprise technology. Cost efficiency. The post A Kubernetes platform engineering strategy tames Kubernetes complexity appeared first on Dynatrace news. billion. .
They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.
Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix. The request schema for the observability endpoint.
In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Log ingestion strategy no. Log ingestion strategy No. Log ingestion strategy No.
Elasticsearch Integration Elasticsearch is one of the best and widely adopted distributed, opensource search and analytics engines for all types of data, including textual, numerical, geospatial, structured or unstructured data. It was time to take a step back and reevaluate our ES data indexing and sharding strategy.
In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.
Migrating a proprietary database to opensource is a major decision that can significantly affect your organization. Advantages of migrating to opensource For many reasons mentioned earlier, organizations are increasingly shifting towards opensource databases for their data management needs.
Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.
As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.
In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. How does IT operations analytics work? Clean data and optimize quality.
Having siloed systems that only provide visibility into one or two of these sources won’t result in an effective observability strategy. OpenTelemetry is an opensource standard for gathering observability signals, including metrics, traces, and logs. 2: The emergence of OpenTelemetry affects observability .
OpenTelemetry is an opensource observability project that encompasses a set of APIs, libraries, agents, and instrumentation standards. Employ efficient sampling. Implement efficient sampling techniques Implement efficient sampling techniques to manage data volume. What is OpenTelemetry? Contextualize data.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.
In fact, according to a Forrester Consulting report , implementing an AIOps approach that provides proactive visibility helped companies improve operational efficiency and reduce false-positive alerts by 95%. For example: Greater IT staff efficiency. Create a cloud observability strategy with automatic and intelligent AIOps.
This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Application security has historically been addressed after development is completed.
A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Thinking about going multi-cloud?
by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.
Opensource has also become a fundamental building block of the entire cloud-native stack. While leveraging cloud-native platforms, open-source and third-party libraries accelerate time to value significantly, it also creates new challenges for application security.
Building a flexible cloud strategy means making decisions that align with operational efficiency, cost management, and scalability. Originally published on The New Stack. Public cloud platforms offer immense convenience but come with certain downsides.
Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Armed with an understanding of their monitoring maturity, organizations can develop a strategy for harnessing their data to automate more of their operations.
In addition, as businesses of all kinds adopt cloud-native and opensource technologies, their environments become more flexible. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. AIOps strategy central to proactive multicloud managemen t – blog.
As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Source: Enterprise Strategy Group, a division of TechTarget, Inc. At the same time, challenges remain as organizations aim to become more automated.
From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. A key takeaway from this talk is how important it is to be aware of the different sampling strategies and know which one makes sense for your application in a particular overload situation.
At its core, Kubernetes (often abbreviated as K8s) is an opensource tool that automates the deployment, scaling, and management of containerized applications. This makes it much easier for organizations to transition to opensource solutions, reduce costs, and avoid vendor lock-in.
This high level of abstraction is provided by industry-grade, opensource stream processing frameworks such as Kafka Streams , Apache Flink , and Spark Structured Streaming. Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume.
As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. Here are five steps to creating a modern data stack and AI strategy for observability, AIOps, and application security. Your key business objectives will drive your strategy and metrics.
As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. This includes everything from multicloud deployments to microservices to Kubernetes instances and the use of opensource software. According to recent global research, CISOs’ security concerns are multiplying.
At Netflix, Adrian played a key role in the company's much-discussed migration to a "cloud native" architecture, and the opensourcing of the widely used (and award-winning) NetflixOSS platform. Adrian will also spend time engaging with developers in the Amazon-sponsored and supported opensource communities.
Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind. Organizations building out their cloud security strategy must prioritize an end-to-end view of their cloud, applications, microservices, and more to keep their data secure.
In theory, implementing an AIOps solution across enterprise IT environments can improve efficiency, drive better overall business value, and improve customer success. This is a tough task for even large, experienced teams at the best of times, and almost impossible with the increasing use of third-party and open-source tools and technologies.
Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until opensource tracer libraries matured.
To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.” SQLMesh, an open-source project born from our collective experience at companies like Airbnb, Apple, Google, and Netflix, is designed to handle the complexities of evolving data pipelines at an internet scale.
Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently. These functions ensure that our eBPF program remains safe and efficient while retrieving the cgroup ID from the task struct.
As cloud environments become increasingly ubiquitous, so does the need for effective and efficient management. This helps organizations to achieve proactive prevention, efficient operation, faster remediation, strong protection, and business acceleration.
Automatic failover is a critical strategy to achieve this. Each component has a unique function that contributes to uninterrupted service and efficient transition during failover scenarios. This open-source tool can be acquired from apt.Postgresql.org, a Debian and Ubuntu repository.
The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? The benefits of serverless Lambda functions.
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I'm offering an overview of my perspective on the field, which I hope is a unique and interesting take on it, in order to provide context for the work at hand: devising a winning technology strategy for your business.
Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. AIOps done right. What is cloud migration?
From an application security and reliability perspective, DORA provides examples of appropriate tests that include open-source analysis, source code reviews, scenario tests, compatibility tests, performance tests, end-to-end tests, and penetration testing. DORA encourages a more holistic approach to security.
According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content