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Evident.io is now a part of Palo Alto Networks Read more

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Have we encrypted data in the cloud?

Evident Monitoring Compliance enables organizations to proactively manage cloud security risk — minimizing attack surface and improving overall security posture, all from a single dashboard.

Automated, continuous visibility and control of multicloud infrastructure security from a single pane of glass.

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Solve issues fast with real-time alerts and workflows. One-click reports improve team efficiency.

Maintain rigorous security controls while optimizing development and delivery for speed.

By monitoring infrastructure continuously and identifying critical risks as they are introduced security compliance are greatly improved.

One-button compliance reports document how compliance policies are followed, and eliminate arduous manual compliance assessment.

Monitor, test and report on all cloud services and provide an actionable view into all testable compliance checks.

Risks are detected and remediated quickly. Because compliance issues are addressed continuously, development teams experience less disruption.

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DevOps and compliance teams need an automated and frictionless approach to securing public cloud workloads.

Evident, a recent addition to the Palo Alto Networks portfolio, is designed to keep you secure in the Public Cloud by identifying potential risks and getting them resolved -- no matter how fast your team is moving.

Too often, organizations make the move to the cloud without considerations for how it will be in compliance. Whether you need to maintain compliance for regulatory or business obligations, it is best to go into the cloud with those requirements in mind.

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France’s first carrier entered service in the interwar period, but for a very long time the French navy trailed behind international counterparts in naval aviation. This changed in the Cold War, however, and today France operates the world’s most advanced carrier outside of the U.S. Navy. How did France build its naval aviation force, what does it do today and what direction will France take next?

The History of French Carriers

Soon after World War I, France joined the international carrier community through the conversion of the battleship hulk Bearn . Although large, Bearn did not carry many aircraft and never actively participated in combat, even during World War II. The construction of two additional large carriers was suspended by World War II, but after the war the French navy gained access to light carriers transferred from Britain and the United States.

Four in total, these carriers helped the French navy develop its naval aviation muscles. The next step was big; France constructed a pair of CATOBAR aircraft carriers, Clemenceau and Foch . Commissioned in 1961 and 1963, the ships displaced 30,000 tons and could carry around forty modern aircraft. A third carrier, the much larger Verdun , was cancelled before being laid down. Clemenceau and Foch , operating the F-8 Crusader and later the Super Etendard, would form the backbone of the world’s second largest carrier force for the latter half of the Cold War. After nearly forty years of hard service, the two ships were decommissioned in favor of France’s next carrier, the nuclear-powered Charles de Gaulle .

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The Current State of French Naval Aviation

Charles de Gaulle (CdG) entered service in May 2001, after a troubled fifteen-year construction period. Displacing 42,000 tons, Charles de Gaulle can make twenty-seven knots, and operates up to forty aircraft. She is the only carrier in the world outside of the U.S. Navy to use catapults to launch aircraft, and consequently carries conventional CATOBAR-capable jets such as the Dassault Rafale and the E-2C Hawkeye. CdG is also the only nuclear-powered aircraft carrier to serve outside the U.S. Navy.

Navigation

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BorgBackup (short: Borg) is a deduplicating backup program. Optionally, it supports compression and authenticated encryption.

The main goal of Borg is to provide an efficient and secure way to backup data. The data deduplication technique used makes Borg suitable for daily backups since only changes are stored. The authenticated encryption technique makes it suitable for backups to not fully trusted targets.

See the installation manual or, if you have already downloaded Borg, docs/installation.rst to get started with Borg. There is also an Tamaris Boots Taupe
available, in mutiple formats.

Main features

Space efficient storage

Deduplication based on content-defined chunking is used to reduce the number of bytes stored: each file is split into a number of variable length chunks and only chunks that have never been seen before are added to the repository.

A chunk is considered duplicate if its id_hash value is identical. A cryptographically strong hash or MAC function is used as id_hash, e.g. (hmac-)sha256.

To deduplicate, all the chunks in the same repository are considered, no matter whether they come from different machines, from previous backups, from the same backup or even from the same single file.

Compared to other deduplication approaches, this method does NOT depend on:

Data encryption Compression

All data can be optionally compressed:

Off-site backups Backups mountable as filesystems Easy installation on multiple platforms

We offer single-file binaries that do not require installing anything - you can just run them on these platforms:

Free and Open Source Software

Initialize a new backup repository (see borg init --help for encryption options):

Create a backup archive:

Now doing another backup, just to show off the great deduplication:

For a graphical frontend refer to our complementary project BorgWeb .

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Your help is always welcome! Spread the word, give feedback, help with documentation, testing or development.

You can also give monetary support to the project, see there for details:

https://www.borgbackup.org/support/free.html#bounties-and-fundraisers

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EXPECT THAT WE WILL BREAK COMPATIBILITY REPEATEDLY WHEN MAJOR RELEASE NUMBER CHANGES (like when going from 0.x.y to 1.0.0 or from 1.x.y to 2.0.0).

A polygon is defined by a collection of rings. Each ring is a collection of contiguous line segments such that the start point and the end point are the same.

Ring

Boundary and Rings

The boundary of a polygon is the collection of rings by which the polygon is defined. The boundary contains one or more outer rings and zero or more inner rings. An outer ring is oriented clockwise while an inner ring is oriented counterclockwise. Imagine walking clockwise along an outer ring. The area to your immediate right is the interior of the polygon and to your left is the exterior .

Outer Ring

Similarly, if you were to walk counter-clockwise along an inner ring, the area to your immediate right is the interior of the polygon and to your left is the exterior.

Outer Inner Ring

It is important to understand the boundary, interior and exterior of a geometry when using the various operators. The relational operators, for example, rely heavily on these concepts.

If a polygon has an inner ring, the inner ring looks like a hole. If the hole contains another outer ring, that outer ring looks like an island.

A valid polygon has no overlapping rings, no self-intersections except possibly at vertices, no dangling segments and, in general, an arbitrary point can always be classified unambiguously as either in the exterior, in the interior or on the boundary of the polygon. A valid polygon is said to be simple . See the Samsonite High Line Tablet Pocket Leather 28 Cm
for a more detailed specification of simple polygons. Note that a simple polygon may not be OGC compliant. See the Simplify operator with OGC restrictions .

Let's look at some examples of non-simple vs. simple polygons. The green circles are the vertices of the polygon, and the lavender colored area represents the interior of the polygon.

When drawing a polygon, use the even-odd fill rule. The even-odd fill rule will guarantee that the polygon will draw correctly even if the ring orientation is not as described above for simple polygons.

A polygon can be represented as a JSON string. A polygon in JSON format contains an array of rings and an optional spatialReference . A polygon can also have boolean-valued hasM and hasZ fields. The default value is false for both the hasM and hasZ fields.

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