The hottest Managed Services Substack posts right now

CIAM software is similar across different platforms, which makes it easy to use but also complex in its features.
CIAM is very important for security since it manages sensitive data like passwords and personal information.
Using managed services like CIAM helps developers save time and focus on building better software instead of handling complex login systems.

XDR trends include the growing use of ML/AI-powered XDR services to enhance detection and response capabilities, rising deployment of MXDR solutions for SMEs, and adoption of XDR in SecOps for improved security operations.
Key challenges of XDR are lack of standardization and clarity in definition and implementation, integration and interoperability issues with existing security solutions, and privacy and compliance concerns with data collection and sharing.
Opportunities with XDR include enhanced security posture and performance, innovation and differentiation for providers and users, and growth and expansion into new markets and segments for scalability and flexibility.

Understanding the pricing of data orchestration tools is crucial for managing costs efficiently in data pipelines.
Consider the trade-offs between self-hosted open-source options like Airflow, Prefect, Dagster, Mage, and managed services like MWAA, Cloud Composer, Astronomer, Prefect Cloud, and Dagster Cloud.
Orchestra offers fixed pricing based on the number of pipelines and tasks, providing certainty in costs, potential savings, and efficiency gains for data teams.

Lambda is a powerful computing service that is part of the serverless ecosystem.
Avoiding Lambda can reduce errors and latency in applications.
It's possible to replace Lambda with other serverless services for more efficient operations.

Google is rumored to be moving away from dedicated Site Reliability Engineering (SRE) teams.
SRE focuses on solving operational problems using software engineering.
Google may be shifting operations responsibilities to software engineering teams.

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Using serverless and managed services is critical for achieving big wins with small teams on tight deadlines in the cloud.
Choosing a cloud platform and fully embracing its capabilities is key to success, even though leveraging multiple platforms for different strengths can also be beneficial.
Serverless computing allows teams to focus on business outcomes, accelerating product launches, reducing team sizes, and shifting the focus to more differentiated work.

Serverless computing means cloud providers fully manage server infrastructure, allowing focus on application code and business logic.
Benefits of serverless model include automatic scaling, fault-tolerance, and paying only for the resources used.
GCP offers various serverless compute options like Firebase, Cloud Functions, App Engine, and Cloud Run, each with specific characteristics and use cases.

AWS is considered more of an "ops engineer's cloud" while GCP is seen as a "software engineer's cloud."
Deploying on AWS Fargate involves lower-level tasks like networking and IAM roles, providing fine-tuned control but requiring more effort.
Google's App Engine Flex streamlines deployment, handling networking, scaling, and fault tolerance, allowing developers to focus more on application code and architecture.

ETLP paradigm integrates Airbyte with dbt and Orchestra for quick end-to-end data pipelines without coding.
Using a fully managed deployment approach with tools like Airbyte, dbt, and Orchestra can save time and effort compared to self-managed solutions.
For a data product with 10GB data, costs for Airbyte, dbt, and Orchestra would be around $2400 monthly, potentially more cost-effective than hosting or developer time.