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Although many companies adopt solutions such as OpenTelemetry, Prometheus, and Grafana as part of their observability strategy, they often confront a common data analysis problem: data silos. As a solution, teams often adopt opensource observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments.
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. Of these open-source observability tools, one stands out. OpenTelemetry reference architecture. Dynatrace news.
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 response 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.
I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. The post Panel Recap: How is your performance and reliability strategy aligned with your customer experience?
This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ? What is Apache Kafka?
As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.
Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.
Opensource software To produce applications rapidly, developers often rely on opensource software for the application’s primary building blocks. Using opensource software can help accelerate development because developers don’t need to reinvent the wheel with every new application build.
This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . Try it today using Keptn .
Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. This opensource framework stores and processes large sets of structured and unstructured data. Organizations use this opensource, distributed analytics engine for big data workloads. Clean data and optimize quality.
Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Microsoft’s GitHub is the largest open-source software community in the world with millions of open-source projects. SLO validation – ?Automatically Topics in this blog series.
Keptn is the opensource control plane for continuous deployment and automated operations for cloud native applications on Kubernetes. Pitometer is used to validate a deployment after it was successfully tested based on the defined testing strategy. Beyond basic metrics: Detecting Architectural Regressions.
It reveals the majority of organizations have adopted multicloud environments, cloud-native architectures, and opensource code libraries to support efforts to deliver new digital solutions to customers. Layered financial services security strategies are not enough.
Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. The challenge? Automate infrastructure monitoring.
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?
Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. However, turning those logs into meaningful insights requires a data lakehouse.
Opensource code, for example, has generated new threat vectors for attackers to exploit. A case in point is Log4Shell, which emerged in late 2021 and exposed opensource libraries to exploitation. Dynatrace introduces automatic vulnerability management for PHP opensource scripting language – blog.
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.
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. Environmental forces. IT environments exist in a state of almost constant change.
Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. 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.
In addition, as businesses of all kinds adopt cloud-native and opensource technologies, their environments become more flexible. As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. See how causation-based AIOps is a game-changer.
I am excited that Adrian Cockcroft will be joining AWS as VP of Cloud Architecture. 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.
Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news.
Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).
Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.
Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Modern cloud-native environments rely heavily on microservices architectures.
Security analytics must also contend with the multicomponent architecture of modern IT infrastructure. This includes everything from multicloud deployments to microservices to Kubernetes instances and the use of opensource software. How do companies reliably find, review, and analyze this data?
Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.
As organizations update their IT environments with the latest cloud-native technologies and architectures, teams need to weigh the effectiveness of traditional monitoring vs. modern, observability-based solutions to decide how to solve their existing challenges amid the growing complexity of their dynamic, multi-cloud environments.
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. A combination of proprietary and opensource technology can speed data ingestion from common and long-tail sources.
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.
Despite all the benefits of modern cloud architectures, 63% of CIOs surveyed said the complexity of these environments has surpassed human ability to manage. 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.
In a talent-constrained market, the best strategy could be to develop expertise from within the organization. Consider selecting platform-based solutions — whether opensource or from a commercial vendor — that support open ecosystems. Adopting tools with high levels of automation can help reduce the learning curve.
Keptn is an opensource project, and we are proud that as of July 2020 we are a CNCF (Cloud Native Computing Foundation) sandbox project. Keptn can integrate with other monitoring and observability platforms thanks to our event-driven architecture. Keptn can be extended with new use cases through event-driven architecture.
This “Enterprise Data Model/Architect Agent” employs generative AI techniques for autonomous enterprise data modeling and architecture. To address this, we propose developing an intelligent agent that can automatically discover, map, and query all data within an enterprise.
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. Dynatrace news. AIOps done right.
As lists are the raw material of strategy and technology architecture, MECE list-making is one of the most useful tools you can have in your tool box. MECE, pronounced "mee-see," is a tool created by the leading business strategy firm McKinsey. Lists are the raw material of strategy and technology architecture.
SCA indicates whether an organization’s source code contains the vulnerable library. A simple way of conducting SCA analysis is with dependency scans that use open-source tools such as Gradle dependencies or the OWASP dependency check. This automatic scoring enables teams to easily prioritize their remediation strategy.
As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy.
With the acceleration of complexity, scale, and dynamic systems architectures, under-resourced IT teams are under increasing pressure to understand when there is abnormal behavior, identify the precise reason why this occurred, quickly remediate the issue, and prevent this behavior in the future. Dynatrace news.
Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. can we actually make this work in practice? Since MIPs are NP-hard, some care needs to be taken.
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