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After optimizing containerized applications processing petabytes of data in fintech environments, I've learned that Docker performance isn't just about speed it's about reliability, resource efficiency, and cost optimization. Let's dive into strategies that actually work in production. We can fix that with this code below:
Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations.
Today, organizations must adopt solid modernization strategies to stay competitive in the market. According to a recent IDC report , IT organizations need to create a modernization and rationalization plan that aligns with their overall digital transformation strategy. Crafting an application modernization strategy.
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In the following sections, we’ll explore various strategies for achieving durable and accurate counts. Introducing sufficient jitter to the flush process can further reduce contention. Furthermore, by leveraging additional stream processing frameworks such as Kafka Streams or Apache Flink , we can implement windowed aggregations.
For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Define the strategy, assess the environment, and perform migration-readiness assessments and workshops. The pilot cloud migration helps uncover risks related to process, operational, and technology changes.
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This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology.
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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. Rethinking the process means digital transformation. What trends are you seeing in the industry?
The company did a postmortem on its monitoring strategy and realized it came up short. We’ve automated many of our ops processes to ensure proactive responses to issues like increases in demand, degradations in user experience, and unexpected changes in behavior,” one customer indicated. It was the longest 90 seconds of my life.
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Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.
In this post, I’m going to break these processes down into each of: ? Given that 66% of all websites (and 77% of all requests ) are running HTTP/2, I will not discuss concatenation strategies for HTTP/1.1 What happens when we adjust our compression strategy? The former makes for a simpler build step, but is it faster?
And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. Similarly, digital experience monitoring is another ongoing process that lends itself to IT automation.
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Fully automated code-level visibility. Apart from its best-in-class observability capabilities like distributed traces, metrics, and logs, Dynatrace OneAgent additionally provides automatic deep code-level insights for Java,NET, Node.js, PHP, and Golang, without the need to change any application code or configuration.
Modern observability and security require comprehensive access to your hosts, processes, services, and applications to monitor system performance, conduct live debugging, and ensure application security protection. It automatically discovers and monitors each host’s applications, services, processes, and infrastructure components.
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?
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Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.
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. What is a data lakehouse?
DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.
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.
Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. Dynatrace news. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.
However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality.
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This increased efficiency applies to the most recent code committed to a repository to the final release and delivery of an application or service upgrade. Change failure rate is the percentage of DevOps code changes that lead to failure in production. What DevOps processes can be automated? Benefits of automation in DevOps.
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