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Redis® Monitoring Strategies for 2024

Scalegrid

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130
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Observability platform vs. observability tools

Dynatrace

As applications have become more complex, observability tools have adapted to meet the needs of developers and DevOps teams. A database could start executing a storage management process that consumes database server resources. This helps teams to easily solve problems as, or even before, they occur.

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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130
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AIOps automates DevSecOps workflows to enable self-healing IT

Dynatrace

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. It turns out a colleague has been adding new records to the database without archiving old ones. An example of service self-healing using Ansible.

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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

Numerous organizations offer databases of these weaknesses, such as the Snyk Intel Vulnerability Database. The OWASP also has an extensive list of free tools for open source vulnerability detection.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Security, databases, and programming languages effortlessly remain up to date and secure in the serverless model. Serverless resources are highly flexible and are customized based on the application. Services scale to meet demand.

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5 key areas for tech leaders to watch in 2020

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Also: infrastructure and operations is trending up, while DevOps is trending down. Software architecture, infrastructure, and operations are each changing rapidly.